tag:blogger.com,1999:blog-68237874547888021412024-03-13T21:43:11.678+01:00MontralaBlog on firearms, accessories, dynamic shooting sports and related stuff - viewed from Poland.Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.comBlogger92125tag:blogger.com,1999:blog-6823787454788802141.post-86588474140737722952019-12-16T15:00:00.001+01:002019-12-16T15:00:53.006+01:00I took HK SFP9L OR with Aimpoint ACRO C1 to IPSC match - you want believe what happened!Actually nothing really shocking, but since I baited you here, you can well read and watch match video ;)<br />
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Recently I received from Aimpoint T&E sample of their new, pistol
oriented ACRO C-1 sight. Thanks to HK distributor in Poland, Cenzin sp. z
o.o., I was able to put my hands on optic ready HK SFP9L OR. Aimpoint
provided correct mounting adapter plate for HK OR system and I was good
to go.
And what place better to test, shot of real life use, than competition?<br />
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So I took this combo to L1 IPSC match, registered in Production Optics
division. As new rules allowed I uses modified trigger I used Lazy Wolf
trigger and HKParts match springs set. Some anti skid tape on grip and
good to go.
In short, this kit is better than shooter. Acquiring dot is easier than
on open design sights, however it is possible to loose dot, especially
when shooting in non standard position just after magazine change.<br />
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I was only shooter in Production Optics on this match, so I won with
myself ;) But there was also overall match results, with all divisions
together and I had 64% and a change of Open division winner. I'm sure
that with more time with this combo (I just had enough time to zero it
properly at 20m) and I could do much better!Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0aleja Marszałka Józefa Piłsudskiego 141, 92-318 Łódź, Poland51.7587444 19.50128530000006326.236709899999997 -21.807308699999936 77.2807789 60.809879300000063tag:blogger.com,1999:blog-6823787454788802141.post-58420638539935362702019-10-15T12:54:00.001+02:002019-10-16T10:35:36.911+02:00HK P2000SK and Shield RMSc goes IPSCI was recently tinkering with my P2000SK to make it a bit more "modern". With help of my local gunsmith (Top Gun in Warsaw) it got slide cut for Glock M.O.S. plates (it was done long before HK presented OR plates and I used adapter plates to be able to test different RDS). Basically changes are:<br />
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1. Shield RMSc 4MOA plus M.O.S. adapter on loan from RWS Cetus (Shield distributor in Poland)<br />
2. LEM V4.1 trigger<br />
3. HK45C magazine release<br />
4. Talon Grips in rubber black provided by Talon Grips (https://talongungrips.com/pistol-grips/hk/p2000sk.html)<br />
5. Viridian C5L<br />
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This was part of my project to make modernized sub-compact carry pistol. One of things to asses is how good it works "on the clock". Shooting drills on training is one thing, but shooting competition puts more pressure. Since IPSC allow now guns wit RDS into Production Optic and Production Optic Light divisions I entered L1 IPSC match with my P2000SK. I used 10 round magazines (rules allow 15 rounds loaded in magazine) and removed laser/light to comply. How it worked out you can see on video below. Some remarks on lessons learned are put in video desctiption. Tell me what you think!<br />
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UPDATE: My result was 65% of division winner. <br />
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<iframe allowfullscreen="" frameborder="0" height="270" src="https://www.youtube.com/embed/ve8V05ZAQxg" width="480"></iframe>Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0ul. Św. Rocha, 95-045 Parzęczew k/Łodzi, Poland51.936089 19.20427300000005726.414054500000002 -22.104320999999942 77.4581235 60.512867000000057tag:blogger.com,1999:blog-6823787454788802141.post-82528257998658766442017-03-02T14:50:00.001+01:002017-03-02T14:50:34.971+01:00Leviathan AwakesNo, this post is not about excellent Sci-Fi series The Expanse and neither about book with this title. It is about what apparently happened recently to Heckler & Koch.<br />
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<a href="http://img.photobucket.com/albums/v286/montrala/IWA%202006/6FCB467E-CA61-42C9-AD77-D825E2B04A3A_zpslhn6vuke.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="150" src="https://img.photobucket.com/albums/v286/montrala/IWA%202006/6FCB467E-CA61-42C9-AD77-D825E2B04A3A_zpslhn6vuke.jpg" width="200" /></a><a href="http://img.photobucket.com/albums/v286/montrala/IWA%202006/498DE554-51C7-470A-806C-B97B9EF554F0_zpsvifx05ts.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="150" src="https://img.photobucket.com/albums/v286/montrala/IWA%202006/498DE554-51C7-470A-806C-B97B9EF554F0_zpsvifx05ts.jpg" width="200" /></a>Obviously one of things that happened is HK433. Still behind the glass, still in late prototype stage, still confirmation on expected prices, but it is here. But that is not all. Far from it.<br />
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Second glass box on HK booth at Enforce Tac fairs hold short barreled<br />
versions of G36 and HK416 in .300 Whisper aka .300 AAC Blackout. Yes. Finally HK joins the band and better late than never. But this is not all. Far from it.<br />
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On left side of the booth there is long line of pistols, that for first look does not seem to be especially interesting. But hey! On second look, this P30SK does not have a hammer! Because it is not an P30SK. It is SFP9SK (VP9SK). Excited enough? Next to it sits SFP9SK Push Button. Yes, right, HK with push button magazine release. And there is SFP9-SF (VP9) in same configuration next to it. And both use same magazine as paddle release version. No magazine problems like with Walther PPQ Classic (aka M1) and M2. But that is not all. Next sits SPF9S-SF (VP9S) with manual thumb safety, SFP9L-SF (VP9L) with 5" barrel and longer slide, SFP9-M (VP9M) for those who like to take long sea swimming sessions and last, but not least SFP9-OR (VP9OR) with provisions for slide mounted Red Dot sight. Additionally all SFP9 variants have new, improved charging support wings called "Standard" (old ones are called "Narrow").<br />
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Basically now SFP9 family has 6 basic models:<br />
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1. SFP9 - full size<br />
2. SFP9L - long slide<br />
3. SFP9 SK - subcompact<br />
4. SFP9 SD - threaded barrel<br />
5. SFP9 M - OTB model for maritime operations<br />
6. SFP9 OR - optic ready model with available adapters for Docter Sight III, Insight MRDS, Meopta Meosight III, Vortex Viper, Vortex Venom, Burris Fast Fire 3, Trijicon RMR, C-More STS2 and Leupold DeltaPoint Pro<br />
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<a href="http://img.photobucket.com/albums/v286/montrala/IWA%202006/E381C721-EE7B-488C-864E-7AD02BEEDEAB_zps2y866xpx.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="150" src="https://img.photobucket.com/albums/v286/montrala/IWA%202006/E381C721-EE7B-488C-864E-7AD02BEEDEAB_zps2y866xpx.jpg" width="200" /></a>Every variant can use either SF trigger (like in VP9) or TR trigger ("Police trigger"), can have paddle or push <br />
button magazine release and can have manual thumb safety. Sadly last one, as per long HK tradition will not be very comfortable to shoot with thumb on safety lever. At least this is my first impression.<br />
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Family is complemented by two training versions, SFP-FX and SFP-CM.<br />
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<a href="http://img.photobucket.com/albums/v286/montrala/IWA%202006/E9968341-76CC-4A7E-8B74-9170D360E188_zpsvzqv7ooy.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="150" src="https://img.photobucket.com/albums/v286/montrala/IWA%202006/E9968341-76CC-4A7E-8B74-9170D360E188_zpsvzqv7ooy.jpg" width="200" /></a>Looks like HK is waking up from long sleep and has this strange idea of actually getting some money from the market. VP9/SFP9 platform was already a winner for them. Now this assault on the market. Lets hope it <br />
will work out as planned!Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com2Messezentrum 1, 90471 Nürnberg, Germany49.4174088 11.11536390000003449.0869813 10.469916900000033 49.747836299999996 11.760810900000035tag:blogger.com,1999:blog-6823787454788802141.post-44584280871192883622017-02-06T10:39:00.000+01:002017-02-06T10:50:15.809+01:00Is Polish MSBS rifle is as good as dead?<br />
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This is not factual information, but opinion piece based on my personal assessment of future of MSBS rifle program. Please take it with grain of salt.<br />
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MSBS program is in place for over 10 years already. It should be enough to design and start manufacturing of 2 or even 3 designs. What we have after this time is:<br />
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1. 100+ MSBS straight pull repeating blank firing rifles delivered to Ceremonial Company of Polish Armed Forces.<br />
2. Some prototypes of MSBS delivered for informal testing by Border Guard and Prison Service.<br />
3. MSBS in military certification trials scheduled to end later this year (those are not acceptance tests!)<br />
4. MSBS bulpup is even no longer presented by FB Radom on trade fair exhibition.<br />
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This of course does not outright mean that program will be canceled or rifle will not be adopted. But there is one big nail to MSBS coffin:<br />
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Polish Ministry of Defence awarded FB Radom with 350mln PLN ($85mln) contract to deliver 58,000 assault rifles until end of 2019. This is additionally to earlier contracts for roughly 30,000 assault rifles. Those contracts vastly exceed manufacturing capability of FB Radom and will require investment in real estate, tooling as well as hiring new personnel. Good news? Certainly for FB Radom, but not for MSBS, because ordered rifles are not MSBS, but Polish AKM variants in 5.56 NATO called wz.96 Beryl and wz.96 Mini Beryl.<br />
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<a 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" 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" style="cursor: move;" width="315" /></a>One would say: "but after that Polish military will surely bus MSBS". Why would they? By 2020 they will double their inventory of wz. 96 Beryl and Mini Beryl, mostly with brand new rifle. Who with sound mind would replace them with new rifle right away? This basically ends possibility for Polish Army to move away from AK-style firearms for foreseeable future.<br />
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But surely FB Radom can sell MSBS on international market. It is modern, modular, flexible and ergonomic rifle. Lot of smaller military forces would like it. They would, but there is second nail to MSBS coffin: it is called HK 433.<br />
<br />Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com5tag:blogger.com,1999:blog-6823787454788802141.post-46866436928951905312016-09-20T11:38:00.000+02:002016-09-20T11:38:18.356+02:00New style barrel extension in HK416A5 and MR223A3<div class="separator" style="clear: both; text-align: center;">
<a href="http://img.photobucket.com/albums/v286/montrala/MR223/BFA0B2C7-C590-4EAF-8CD1-D468B1E8C045_zpsqqhynx0k.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="240" src="https://img.photobucket.com/albums/v286/montrala/MR223/BFA0B2C7-C590-4EAF-8CD1-D468B1E8C045_zpsqqhynx0k.jpg" width="320" /></a></div>
HK416A5 (and MR223A3) does have numerous changes and upgrades over older variants. Some are easily noticeable, some require closer inspection and some are well hidden. One of this well hidden differences is design of how barrel extension interfaces with upper receiver and how it is positioned.<br />
In my opinion new method whit cut out in barrel extension and wedge on upper receiver is much better idea that classic barrel extension pin in AR15. New design is simpler, stronger, more fool proof and provide better positioning in barrel in relation to upper receiver.<br />
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<a href="http://img.photobucket.com/albums/v286/montrala/MR223/769CE714-A150-4FA9-AF9C-8256BA48E781_zps5fyembw2.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="300" src="https://img.photobucket.com/albums/v286/montrala/MR223/769CE714-A150-4FA9-AF9C-8256BA48E781_zps5fyembw2.jpg" width="400" /></a></div>
Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0tag:blogger.com,1999:blog-6823787454788802141.post-68786723407165709322014-12-23T16:55:00.000+01:002014-12-23T16:55:19.814+01:00Trijicon HD sights on my HK45CYes, I'm alive! Sorry for long hiatus, but "real life" come in way. Happens.<br />
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<a href="http://3.bp.blogspot.com/-lapBGPT4KOg/VJmNPmnPZTI/AAAAAAAAAcQ/U7bFtqE8g4s/s1600/2014-12-19%2B13.13.26.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://3.bp.blogspot.com/-lapBGPT4KOg/VJmNPmnPZTI/AAAAAAAAAcQ/U7bFtqE8g4s/s1600/2014-12-19%2B13.13.26.jpg" height="240" width="320" /></a></div>
Anyway, Santa come little earlier this year with nice set of Trijicon HD sights for my HK45C. I used first opportunity to install them. It was not easy, but they sit in place. Then I went to verify zero on the range. On picture you can see two 25 round groups. First was on 15m (some 16+ yards), second on 25m (some 27+ yards) - I think it is easy to tell them apart on first glance. POA was top of front sight "slice" bulls-eye in half (at least I tried to keep it there). Both shot offhand with two hand grip, slow pace (and breaks to change/load magazines every 5 rounds). Looks like I need to adjust POA a little, but overall I'm really impressed with this sights. They do agree with my eyes. I will see how they work on some IDPA matches at first opportunity, but I expect them to do just fine. Previously I used Heinie Straight 8 sights, but those did not work good for me. I did not care much for dot over dot alignment and POA/POI relation was completely of for me with POI much higher than on stock sights. Finally I went back to stock HK sights. But looks like Trijicon HD sights will stay here for good. I also need to replace my aging Meprolight sights on P2000SK and SFP9-SF will need nice set of sights, when I get one in my hands.Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com1tag:blogger.com,1999:blog-6823787454788802141.post-65305910091573700272014-06-02T22:46:00.001+02:002014-06-02T22:46:22.825+02:00New Aimpoint Micro T2<div class="separator" style="clear: both; text-align: center;">
<a href="http://1.bp.blogspot.com/-0q7aWSwu_dI/U4ziZOX4Z3I/AAAAAAAAAbg/7fMYdfKkvvc/s1600/MicroT2.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://1.bp.blogspot.com/-0q7aWSwu_dI/U4ziZOX4Z3I/AAAAAAAAAbg/7fMYdfKkvvc/s1600/MicroT2.jpg" height="200" width="198" /></a></div>
I just got info that Aimpoint is going to show new Micro T2 at Eurosatory fair. It has updated body, with flip-caps, ability to ad anti-reflective device, shielded turret and increased body ruggedness. There is also new reflective coating on lenses to improve quality of view, delivers 5 years on one battery and is water tight to 25m. Basically this is all that was revealed for now. I must say it looks slick. Can't wait to put my hands on one and look trough it. (picture: Aimpoint)Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com1tag:blogger.com,1999:blog-6823787454788802141.post-42678191016539279462014-05-27T17:29:00.003+02:002014-05-28T16:43:05.607+02:00Cutting HK MR223/MR556 barrel - good, bad or ugly?<div class="separator" style="clear: both; text-align: center;">
<a href="http://1.bp.blogspot.com/-Vf9jWEztAF4/U4SmSWdHDrI/AAAAAAAAAbQ/2U3rFgEh12Y/s1600/2013-09-09+11.46.21.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://1.bp.blogspot.com/-Vf9jWEztAF4/U4SmSWdHDrI/AAAAAAAAAbQ/2U3rFgEh12Y/s1600/2013-09-09+11.46.21.jpg" height="150" width="200" /></a></div>
There were several discussion on cutting and re-profiling 16.5" heavy match barrel that HK installs in MR223 and MR556 series rifles. Profile is rather mater of personal choice and taste, but cutting down generates some controversy. HK claims that when they cold hammer forge their barrels, they make them in way that barrel bore has a swage (constricts) toward muzzle. Barrel is manufactured for it's final length, so cutting it down remove this narrower portion and affects barrel performance. I decided to find out how it turns out in real world.<br />
<a name='more'></a>Last year I cut my MR223 barrel down to 14.5" with 79dgr target crown and slightly re profiled it to loose some weight. I went with something close to SPR profile.<br />
<br />
First question is obviously for accuracy. I'm not big on shooting for accuracy. I do not even have a good rest for rifle, but usually I can improvise something or use sandbag that is laying around on the range. Due to problem with access for good ranges, when I zero my rifles I usually shoot on 50m range, sometimes on 100m one. Before cutting down my barrel, my practical accuracy with quality ammo for 5 shot groups with 4x scope was from 0.966MOA (100m, Hornady 75gr HPBT Match) to 1.348MOA (100m, RWS Target Elite plus 69gr HPBT). After I cut barrel down I shot some groups at 48m (little over 50yrd) - max my club range allows for rifles. With same 4x scope I registered 5 shot groups of 0.731MOA and 1.084MOA (Hornady Steel Match 75gr HPBT), then 0.827MOA and 0.978MOA (RWS Target Elite plus 69gr HPBT). So basically, no. Cutting barrel did not negativelly affect practical accuracy of my MR223 rifle.<br />
<br />
What about bullet speed then? Obviously, going down from 16.5" to 14.5" did negatively affect V0 value for my rifle. For my mostly used ammo (Hornady Steel Match 55gr FMJ) V0 went down from some 874m/s to 824m/s (2867fps to 2703fps). I was little disappointed to see 82fps loss per inch of barrel. I was expecting to be in range of 50-60fps/inch speed loss. But this did not answer question, how things would work with factory 14.5" barrel. I could not test that with HK416, first because I do not have HK416 on hand (but I could get access to one for few shots for sure). But second and more important reason is that HK416 barrel is chrome lined barrel. So it is not same beast as non-lined MR223 match barrel. It would be like comparing apples and oranges. But this changed.<br />
<br />
For some time HK is selling in Europe factory MR223A1 rifle with 14.5" heavy match barrel. One of my friend have such rifle. All it took was for us both to meet at the range with our 14.5" rifles, chrono and few rounds of ammo. This happened last Sunday, on 3Gun match both of us attended.<br />
<br />
I took my Pro Chrono Digital and shot three 5 rounds string from each rifle in exactly same conditions and from exactly same distance from chrono (around 15ft). Ammo used for this test was 2 kinds of 55gr ammo - Hornady Steel Match FMJ (that I shoot) and Aguila FMJ (that my friend uses) and surplus 62gr FMJ spanish SB ammo (that I have some left). Results are interesting.<br />
<br />
Hornady Steel Match 55gr FMJ ammo averaged from my rifle 828.80m/s (2719,16fps - please note that fps values are calculated from m/s values measured with 1m/s accuracy). Factory rifle averaged at 834.20m/s (2736,88fps). That gives difference of 5.40m/s (17.72fps) between rifles.<br />
<br />
Aguila 55gr FMJ registered respectively 838.40m/s and 840.80m/s (2750.66fps and 2758,53fps). In this case difference was smaller at only 2.40ms (7.87fps). <br />
<br />
Last ammo tested was Spanish surplus SB 62gr FMJ ammo. In this case measured velocities were 827.60m/s and 833m/s (2715.22fps and 2732.94fps). For heavier ammo V0 difference was ...... exactly same as for Hornady Steel Match - 5.40m/s (17.72fps). That was a surprise, but most probably also a coincidence.<br />
<br />
Final conclusion is, that HK seem to be right with claims that factory 14.5" barrel will show higher muzzle velocity that 16.5" barrel cut down to length. However difference is so small 2.40-5.40m/s (7.87-17.72fps). This is 0.29% to 0.64% muzzle velocity loss. In practical use it is negligible. I also did not notice any practical accuracy loss (on my level of skill and for ammo used), that would be important for distances I shoot (up to 300m, mostly within 100m). I'm going to enjoy my cut down barrel until it will be shot up and then I will replace it with... factory 14.5" barrel - to save on cutting, threading and crowning cost, while enjoying HK warranty on barrel life.<br />
<br />
Below is raw data for your enjoyment. Data was collected in m/s. Fps values calculated for convenience. <br />
<br />
<style type="text/css"><!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}--></style><br />
<table border="1" cellpadding="0" cellspacing="0" dir="ltr" style="border-collapse: collapse; border: 1px solid #ccc; font-family: arial,sans,sans-serif; font-size: 13px; table-layout: fixed;"><colgroup><col width="100"></col><col width="100"></col><col width="100"></col><col width="100"></col><col width="100"></col><col width="100"></col><col width="100"></col><col width="100"></col><col width="100"></col><col width="100"></col></colgroup><tbody>
<tr style="height: 21px;"><td colspan="10" data-sheets-value="[null,2,"M/S"]" rowspan="1" style="padding: 2px 3px 2px 3px; text-align: center; vertical-align: bottom;">M/S</td></tr>
<tr style="height: 21px;"><td colspan="1" rowspan="7" style="padding: 2px 3px 2px 3px; vertical-align: bottom;"><br /></td><td data-sheets-value="[null,2,"Hornady SM"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Hornady SM</td><td data-sheets-value="[null,3,null,55]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">55</td><td data-sheets-value="[null,2,"gr"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">gr</td><td data-sheets-value="[null,2,"Aguila"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Aguila</td><td data-sheets-value="[null,3,null,55]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">55</td><td data-sheets-value="[null,2,"gr"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">gr</td><td data-sheets-value="[null,2,"Spanish SB"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Spanish SB</td><td data-sheets-value="[null,3,null,62]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">62</td><td data-sheets-value="[null,2,"gr"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">gr</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"BBL cut to 14.5\""]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">BBL cut to 14.5"</td><td data-sheets-value="[null,2,"HK 14.5\" bbl"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">HK 14.5" bbl</td><td data-sheets-value="[null,2,"Difference"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Difference</td><td data-sheets-value="[null,2,"BBL cut to 14.5\""]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">BBL cut to 14.5"</td><td data-sheets-value="[null,2,"HK 14.5\" bbl"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">HK 14.5" bbl</td><td data-sheets-value="[null,2,"Difference"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Difference</td><td data-sheets-value="[null,2,"BBL cut to 14.5\""]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">BBL cut to 14.5"</td><td data-sheets-value="[null,2,"HK 14.5\" bbl"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">HK 14.5" bbl</td><td data-sheets-value="[null,2,"Difference"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Difference</td></tr>
<tr style="height: 21px;"><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,817]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">817,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,837]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">837,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-20]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-20,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,841]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">841,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,817]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">817,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,24]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">24,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,829]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">829,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,829]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">829,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,0]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">0,00</td></tr>
<tr style="height: 21px;"><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,814]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">814,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,824]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">824,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-10]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-10,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,839]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">839,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,839]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">839,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,0]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">0,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,827]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">827,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,831]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">831,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-4]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-4,00</td></tr>
<tr style="height: 21px;"><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,826]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">826,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,844]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">844,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-18]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-18,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,844]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">844,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,859]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">859,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-15]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-15,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,819]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">819,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,832]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">832,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-13]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-13,00</td></tr>
<tr style="height: 21px;"><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,834]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">834,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,834]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">834,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,0]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">0,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,841]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">841,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,832]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">832,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,9]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">9,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,827]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">827,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,844]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">844,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-17]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-17,00</td></tr>
<tr style="height: 21px;"><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,853]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">853,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,832]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">832,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,21]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">21,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,827]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">827,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,857]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">857,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-30]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-30,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,836]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">836,00</td><td data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,829]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">829,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,7]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">7,00</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"Max"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Max</td><td data-sheets-formula="=MAX(R[-5]C[0]:R[-1]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,853]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">853,00</td><td data-sheets-formula="=MAX(R[-5]C[0]:R[-1]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,844]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">844,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,9]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">9,00</td><td data-sheets-formula="=MAX(R[-5]C[0]:R[-1]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,844]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">844,00</td><td data-sheets-formula="=MAX(R[-5]C[0]:R[-1]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,859]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">859,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-15]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-15,00</td><td data-sheets-formula="=MAX(R[-5]C[0]:R[-1]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,836]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">836,00</td><td data-sheets-formula="=MAX(R[-5]C[0]:R[-1]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,844]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">844,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-8]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-8,00</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"Min"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Min</td><td data-sheets-formula="=MIN(R[-6]C[0]:R[-2]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,814]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">814,00</td><td data-sheets-formula="=MIN(R[-6]C[0]:R[-2]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,824]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">824,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-10]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-10,00</td><td data-sheets-formula="=MIN(R[-6]C[0]:R[-2]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,827]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">827,00</td><td data-sheets-formula="=MIN(R[-6]C[0]:R[-2]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,817]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">817,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,10]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">10,00</td><td data-sheets-formula="=MIN(R[-6]C[0]:R[-2]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,819]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">819,00</td><td data-sheets-formula="=MIN(R[-6]C[0]:R[-2]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,829]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">829,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-10]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-10,00</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"ES"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">ES</td><td data-sheets-formula="=R[-2]C[0]-R[-1]C[0]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,39]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">39,00</td><td data-sheets-formula="=R[-2]C[0]-R[-1]C[0]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,20]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">20,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,19]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">19,00</td><td data-sheets-formula="=R[-2]C[0]-R[-1]C[0]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,17]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">17,00</td><td data-sheets-formula="=R[-2]C[0]-R[-1]C[0]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,42]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">42,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-25]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-25,00</td><td data-sheets-formula="=R[-2]C[0]-R[-1]C[0]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,17]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">17,00</td><td data-sheets-formula="=R[-2]C[0]-R[-1]C[0]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,15]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">15,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2,00</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"SD"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">SD</td><td data-sheets-formula="=STDEV(R[-8]C[0]:R[-4]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,15.642889758609192]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">15,64</td><td data-sheets-formula="=STDEV(R[-8]C[0]:R[-4]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,7.29383301152419]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">7,29</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,8.349056747085001]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">8,35</td><td data-sheets-formula="=STDEV(R[-8]C[0]:R[-4]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,6.61815684310971]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">6,62</td><td data-sheets-formula="=STDEV(R[-8]C[0]:R[-4]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,17.61249556422939]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">17,61</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-10.994338721119682]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-10,99</td><td data-sheets-formula="=STDEV(R[-8]C[0]:R[-4]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,6.066300355241236]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">6,07</td><td data-sheets-formula="=STDEV(R[-8]C[0]:R[-4]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,6.2849025449882765]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">6,28</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-0.21860218974704093]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-0,22</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"AVG"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">AVG</td><td data-sheets-formula="=AVERAGEA(R[-9]C[0]:R[-5]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,828.8]" style="font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">828,80</td><td data-sheets-formula="=AVERAGEA(R[-9]C[0]:R[-5]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,834.2]" style="font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">834,20</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-5.400000000000091]" style="font-style: italic; font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-5,40</td><td data-sheets-formula="=AVERAGEA(R[-9]C[0]:R[-5]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,838.4]" style="font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">838,40</td><td data-sheets-formula="=AVERAGEA(R[-9]C[0]:R[-5]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,840.8]" style="font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">840,80</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-2.3999999999999773]" style="font-style: italic; font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-2,40</td><td data-sheets-formula="=AVERAGEA(R[-9]C[0]:R[-5]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,827.6]" style="font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">827,60</td><td data-sheets-formula="=AVERAGEA(R[-9]C[0]:R[-5]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,833]" style="font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">833,00</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-5.399999999999977]" style="font-style: italic; font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-5,40</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"IPSC PF"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">IPSC PF</td><td data-sheets-formula="=R[-1]C[0]*R2C[1]*3,28084/1000" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,149.55381056000002]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">149,55</td><td data-sheets-formula="=R[-1]C[0]*R2C[0]*3,28084/1000" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,150.52822003999998]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">150,53</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-0.974409479999963]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-0,97</td><td data-sheets-formula="=R[-1]C[0]*R2C[1]*3,28084/1000" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,151.28609408]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">151,29</td><td data-sheets-formula="=R[-1]C[0]*R2C[0]*3,28084/1000" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,151.71916496]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">151,72</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-0.4330708800000025]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-0,43</td><td data-sheets-formula="=R[-1]C[0]*R2C[1]*3,28084/1000" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,168.343837408]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">168,34</td><td data-sheets-formula="=R[-1]C[0]*R2C[0]*3,28084/1000" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,169.44226264]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">169,44</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-1.0984252319999825]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-1,10</td></tr>
<tr style="height: 21px;"><td colspan="10" data-sheets-value="[null,2,"FPS"]" rowspan="1" style="padding: 2px 3px 2px 3px; text-align: center; vertical-align: bottom;">FPS</td></tr>
<tr style="height: 21px;"><td colspan="1" rowspan="7" style="padding: 2px 3px 2px 3px; vertical-align: bottom;"><br /></td><td data-sheets-value="[null,2,"Hornady SM"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Hornady SM</td><td data-sheets-value="[null,3,null,55]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">55</td><td data-sheets-value="[null,2,"gr"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">gr</td><td data-sheets-value="[null,2,"Aguila"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Aguila</td><td data-sheets-value="[null,3,null,55]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">55</td><td data-sheets-value="[null,2,"gr"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">gr</td><td data-sheets-value="[null,2,"Spanish SB"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Spanish SB</td><td data-sheets-value="[null,3,null,62]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">62</td><td data-sheets-value="[null,2,"gr"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">gr</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"BBL cut to 14.5\""]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">BBL cut to 14.5"</td><td data-sheets-value="[null,2,"HK 14.5\" bbl"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">HK 14.5" bbl</td><td data-sheets-value="[null,2,"Difference"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Difference</td><td data-sheets-value="[null,2,"BBL cut to 14.5\""]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">BBL cut to 14.5"</td><td data-sheets-value="[null,2,"HK 14.5\" bbl"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">HK 14.5" bbl</td><td data-sheets-value="[null,2,"Difference"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Difference</td><td data-sheets-value="[null,2,"BBL cut to 14.5\""]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">BBL cut to 14.5"</td><td data-sheets-value="[null,2,"HK 14.5\" bbl"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">HK 14.5" bbl</td><td data-sheets-value="[null,2,"Difference"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Difference</td></tr>
<tr style="height: 21px;"><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2680.44628]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 680,45</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2746.06308]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 746,06</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-65.61679999999978]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-65,62</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2759.18644]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 759,19</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2680.44628]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 680,45</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,78.74015999999983]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">78,74</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2719.81636]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 719,82</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2719.81636]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 719,82</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,0]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">0,00</td></tr>
<tr style="height: 21px;"><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2670.60376]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 670,60</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2703.41216]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 703,41</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-32.80839999999989]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-32,81</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2752.62476]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 752,62</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2752.62476]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 752,62</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,0]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">0,00</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2713.25468]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 713,25</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2726.37804]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 726,38</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-13.123360000000048]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-13,12</td></tr>
<tr style="height: 21px;"><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2709.97384]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 709,97</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2769.02896]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 769,03</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-59.05511999999999]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-59,06</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2769.02896]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 769,03</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2818.24156]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 818,24</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-49.21259999999984]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-49,21</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2687.00796]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 687,01</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2729.65888]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 729,66</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-42.65092000000004]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-42,65</td></tr>
<tr style="height: 21px;"><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2736.22056]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 736,22</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2736.22056]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 736,22</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,0]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">0,00</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2759.18644]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 759,19</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2729.65888]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 729,66</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,29.527559999999994]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">29,53</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2713.25468]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 713,25</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2769.02896]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 769,03</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-55.77428000000009]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-55,77</td></tr>
<tr style="height: 21px;"><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2798.55652]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 798,56</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2729.65888]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 729,66</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,68.89764000000014]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">68,90</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2713.25468]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 713,25</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2811.67988]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 811,68</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-98.42520000000013]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-98,43</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2742.78224]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 742,78</td><td data-sheets-formula="=R[-14]C[0]*3,28084" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2719.81636]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 719,82</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,22.965880000000197]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">22,97</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"Max"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Max</td><td data-sheets-formula="=MAX(R[-5]C[0]:R[-1]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2798.55652]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 798,56</td><td data-sheets-formula="=MAX(R[-5]C[0]:R[-1]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2769.02896]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 769,03</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,29.527559999999994]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">29,53</td><td data-sheets-formula="=MAX(R[-5]C[0]:R[-1]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2769.02896]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 769,03</td><td data-sheets-formula="=MAX(R[-5]C[0]:R[-1]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2818.24156]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 818,24</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-49.21259999999984]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-49,21</td><td data-sheets-formula="=MAX(R[-5]C[0]:R[-1]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2742.78224]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 742,78</td><td data-sheets-formula="=MAX(R[-5]C[0]:R[-1]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2769.02896]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 769,03</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-26.246720000000096]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-26,25</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"Min"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">Min</td><td data-sheets-formula="=MIN(R[-6]C[0]:R[-2]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2670.60376]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 670,60</td><td data-sheets-formula="=MIN(R[-6]C[0]:R[-2]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2703.41216]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 703,41</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-32.80839999999989]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-32,81</td><td data-sheets-formula="=MIN(R[-6]C[0]:R[-2]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2713.25468]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 713,25</td><td data-sheets-formula="=MIN(R[-6]C[0]:R[-2]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2680.44628]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 680,45</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,32.80839999999989]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">32,81</td><td data-sheets-formula="=MIN(R[-6]C[0]:R[-2]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2687.00796]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 687,01</td><td data-sheets-formula="=MIN(R[-6]C[0]:R[-2]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2719.81636]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 719,82</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-32.80839999999989]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-32,81</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"ES"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">ES</td><td data-sheets-formula="=R[-2]C[0]-R[-1]C[0]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,127.95276000000013]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">127,95</td><td data-sheets-formula="=R[-2]C[0]-R[-1]C[0]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,65.61680000000024]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">65,62</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,62.335959999999886]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">62,34</td><td data-sheets-formula="=R[-2]C[0]-R[-1]C[0]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,55.77428000000009]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">55,77</td><td data-sheets-formula="=R[-2]C[0]-R[-1]C[0]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,137.79527999999982]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">137,80</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-82.02099999999973]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-82,02</td><td data-sheets-formula="=R[-2]C[0]-R[-1]C[0]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,55.77428000000009]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">55,77</td><td data-sheets-formula="=R[-2]C[0]-R[-1]C[0]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,49.21260000000029]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">49,21</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,6.561679999999797]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">6,56</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"SD"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">SD</td><td data-sheets-formula="=STDEV(R[-8]C[0]:R[-4]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,51.321818435635365]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">51,32</td><td data-sheets-formula="=STDEV(R[-8]C[0]:R[-4]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,23.929899097529077]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">23,93</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,27.391919338106288]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">27,39</td><td data-sheets-formula="=STDEV(R[-8]C[0]:R[-4]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,21.7131136971482]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">21,71</td><td data-sheets-formula="=STDEV(R[-8]C[0]:R[-4]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,57.783779946946225]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">57,78</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-36.07066624979802]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-36,07</td><td data-sheets-formula="=STDEV(R[-8]C[0]:R[-4]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,19.902560857489668]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">19,90</td><td data-sheets-formula="=STDEV(R[-8]C[0]:R[-4]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,20.619759665699426]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">20,62</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-0.7171988082097585]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-0,72</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"AVG"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">AVG</td><td data-sheets-formula="=AVERAGEA(R[-9]C[0]:R[-5]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2719.1601920000003]" style="font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 719,16</td><td data-sheets-formula="=AVERAGEA(R[-9]C[0]:R[-5]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2736.876728]" style="font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 736,88</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-17.716535999999905]" style="font-style: italic; font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-17,72</td><td data-sheets-formula="=AVERAGEA(R[-9]C[0]:R[-5]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2750.6562559999998]" style="font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 750,66</td><td data-sheets-formula="=AVERAGEA(R[-9]C[0]:R[-5]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2758.530272]" style="font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 758,53</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-7.874016000000211]" style="font-style: italic; font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-7,87</td><td data-sheets-formula="=AVERAGEA(R[-9]C[0]:R[-5]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2715.223184]" style="font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 715,22</td><td data-sheets-formula="=AVERAGEA(R[-9]C[0]:R[-5]C[0])" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,2732.93972]" style="font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">2 732,94</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-17.716535999999905]" style="font-style: italic; font-weight: bold; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-17,72</td></tr>
<tr style="height: 21px;"><td data-sheets-value="[null,2,"IPSC PF"]" style="padding: 2px 3px 2px 3px; vertical-align: bottom;">IPSC PF</td><td data-sheets-formula="=R[-1]C[0]*R2C[1]/1000" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,149.55381056000002]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">149,55</td><td data-sheets-formula="=R[-1]C[0]*R2C[0]/1000" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,150.52822004]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">150,53</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-0.9744094799999914]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-0,97</td><td data-sheets-formula="=R[-1]C[0]*R2C[1]/1000" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,151.28609407999997]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">151,29</td><td data-sheets-formula="=R[-1]C[0]*R2C[0]/1000" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,151.71916496]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">151,72</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-0.4330708800000309]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-0,43</td><td data-sheets-formula="=R[-1]C[0]*R2C[1]/1000" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,168.34383740799998]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">168,34</td><td data-sheets-formula="=R[-1]C[0]*R2C[0]/1000" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,169.44226264]" style="padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">169,44</td><td data-sheets-formula="=R[0]C[-2]-R[0]C[-1]" data-sheets-numberformat="[null,2,"#,##0.00",1]" data-sheets-value="[null,3,null,-1.098425232000011]" style="font-style: italic; padding: 2px 3px 2px 3px; text-align: right; vertical-align: bottom;">-1,10</td></tr>
</tbody></table>
Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com4tag:blogger.com,1999:blog-6823787454788802141.post-69686296468110765562014-05-27T16:11:00.001+02:002014-05-27T16:11:36.099+02:002 new 3Gun matches videosHere are 2 videos from recent 3Gun matches. First one is Liga Sportera match, shot up to 300m at military range. Second one is 3Gun Nation Club Series rules match shot rather up close with max 50m distance. More info in descriptions for each video.<br />
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<iframe allowfullscreen='allowfullscreen' webkitallowfullscreen='webkitallowfullscreen' mozallowfullscreen='mozallowfullscreen' width='320' height='266' src='https://www.youtube.com/embed/l3jdsgHSSx4?feature=player_embedded' frameborder='0'></iframe> </div>
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<iframe allowfullscreen='allowfullscreen' webkitallowfullscreen='webkitallowfullscreen' mozallowfullscreen='mozallowfullscreen' width='320' height='266' src='https://www.youtube.com/embed/RqZBoziN18k?feature=player_embedded' frameborder='0'></iframe></div>
Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0tag:blogger.com,1999:blog-6823787454788802141.post-65208685569010894072014-04-30T23:17:00.001+02:002014-04-30T23:18:14.339+02:00 3 competition videosI just added 3 videos from competitions in April. 2 are from 3Gun matches and 1 is from IDPA match.<br />
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First video is recent Liga Sportera match. It was not my best performance so far. Partially I blame gear (obviously! it is always gear problem!), but I'm afraid I had my own part in this.<br />
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Second video is from 3Gun Nation rules match organized in Hungary. My performance this time was tad better, but not match. I competed in Tactical Irons class.<br />
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And last, but not least most recent IDPA match. 2nd round of Polish IDPA tournament, again in Makówka near Warsaw. And again I used my HK45C in CDP division. Still learning it and my accuracy on fast shots leaves much to demand, but I slowly get a grip on shooting .45.<br />
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<br />Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0tag:blogger.com,1999:blog-6823787454788802141.post-5833397409523474762014-04-03T14:56:00.000+02:002014-04-03T14:56:34.785+02:00IDPA @ Makówka - Round 1Last Sunday we shot small IDPA match (5 stages, 62 shots) organized by TSK Ba-Bach. This is first round of series of matches aimed on revive IDPA in Poland and convince more shooters to join. Matches schedule can be found at <a href="http://www.idpa.com/clubprofile/ba-bach" target="_blank">http://www.idpa.com/clubprofile/ba-bach</a> .<br />
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<iframe allowfullscreen='allowfullscreen' webkitallowfullscreen='webkitallowfullscreen' mozallowfullscreen='mozallowfullscreen' width='320' height='266' src='https://www.youtube.com/embed/1PAihJYPOrA?feature=player_embedded' frameborder='0'></iframe></div>
I used my HK45C to compete in CDP. I'm trying to learn shooting .45. For now I'm definitely too slow but I feel like slowly gaining confidence. I think Heinie Straight 8 sights are not best for my eye problems. I must try Trijicon HD for faster front sight acquisition.Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0Makówka, Poland52.0494263626909 20.59328786079095252.039662362690905 20.573117860790951 52.0591903626909 20.613457860790952tag:blogger.com,1999:blog-6823787454788802141.post-89627764765781058532014-03-14T17:47:00.000+01:002014-03-14T17:47:14.059+01:00IWA 2014 - Minox ZP8 Tactical 1-8x24<a href="http://3.bp.blogspot.com/-LIzv_YTscmc/UyMx7yNCbrI/AAAAAAAAAac/5tYIQm0DJ7w/s1600/IWA2014_366.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://3.bp.blogspot.com/-LIzv_YTscmc/UyMx7yNCbrI/AAAAAAAAAac/5tYIQm0DJ7w/s1600/IWA2014_366.jpg" height="200" width="150" /></a>One of most interesting things I noticed on IWA was new 1-8x tactical scope from German company Minox.<br />
<a name='more'></a> Scope is very slick, nice and solid build. Magnification change is on stiff side (like in Vortex Razor HD2 1-6x), but power ring has build-in cat-tail to assist. Glass is very nice, at least for my eye and light in Nuremberg Messe. What is unusual in this scope is approach for aiming on close to medium distance and medium to long distance.Scope uses rather simple cross with dot in center and mil marks on arms, with longer marked section on bottom scope. Kind like IOR MP8 reticle (that I always liked). And it works in first focal plane (FFP). But scope has also separate "red dot" that work in second focal plane (SFP) and is daylight bright (nothing new - S&B Short Dot comes to my mind). Actually Minox call it daylight reticle. But there is small trick - daylight reticle (red dot) works only for magnification range setting between 1x and 2.5x. Past 2.5x we got nicely defined milling reticle with very subtle illumination. I think this is very interesting idea. Unfortunately looks like scope will cost small fortune - hunting version, without double reticle feature is priced around 2,500 EUR. But if someone has problem to spend cash fast enough, this could be good opportunity to spend it on something clever. More info on scope on manufacturer page: <a href="http://www.minox.com/index.php?id=9728&L=0" target="_blank">http://www.minox.com/index.php?id=9728&L=0</a><br /><br />
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P.S. Sorry for poor image :(Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0tag:blogger.com,1999:blog-6823787454788802141.post-23813123564807140852014-03-09T08:55:00.000+01:002014-03-09T08:55:28.539+01:00IWA 2014 - Walther CCP<a href="http://4.bp.blogspot.com/-HWW07FUl-VY/Uxwd6SnVHJI/AAAAAAAAAaA/jAU_aybevoA/s1600/IWA2014_324.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://4.bp.blogspot.com/-HWW07FUl-VY/Uxwd6SnVHJI/AAAAAAAAAaA/jAU_aybevoA/s1600/IWA2014_324.jpg" height="240" width="320" /></a>On IWA I had my first opportunity to see Walther CCP 9mmx19. Pistol actually makes good impression. Fits hand very nice, slide is easy to operate and trigger is decent. <br />
<a name='more'></a>Pistol comes with push button magazine release. I prefer HK style paddle release, but it was easy enough to activate, even for south paw (it is also reversible). There is also manual safety on left side of frame. Unfortunately, as it is designed to be a cheap pistol, they do not plan for ambi model. However, per Walther guys, trigger system is safe enough to carry with safety off and manual safety was added to please conservative customers. Trigger works nice. It is not too light, but also not overly heavy. There is long initial pull (slightly longer than for eg. standard Glock trigger) and some amount of noticeable overtravel. Reset is not in PPQ range, rather somewhere near HK. Actually trigger reminds, from feel, HK V4 trigger, but with shorter pretravel.<br />
<a href="http://2.bp.blogspot.com/-LkVyGQce3K4/Uxwd8-DzOaI/AAAAAAAAAaI/vVHaqAFHmDs/s1600/IWA2014_327.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" src="http://2.bp.blogspot.com/-LkVyGQce3K4/Uxwd8-DzOaI/AAAAAAAAAaI/vVHaqAFHmDs/s1600/IWA2014_327.jpg" height="240" width="320" /></a>Pistol is blowback operated, delayed by gas system taken directly from HK P7. What is a plus to small Walther, it utilities this design to keep slide mass on minimum. It can be very nice shooting pistol in it's class.<br />
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<br />Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0tag:blogger.com,1999:blog-6823787454788802141.post-78403468747582553612014-03-07T17:42:00.003+01:002014-03-09T08:55:44.988+01:00IWA 2014 - HK news in civilian products<a href="http://4.bp.blogspot.com/-lXxuOwIBX2M/Uxn1Jdr0fJI/AAAAAAAAAZE/dlHNEIH9nZc/s1600/IWA2014_277.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://4.bp.blogspot.com/-lXxuOwIBX2M/Uxn1Jdr0fJI/AAAAAAAAAZE/dlHNEIH9nZc/s1600/IWA2014_277.jpg" height="150" width="200" /></a>I've seen several interesting things today, for example new Walther CCP with HK P7 style piston system, but now I want to cover some more HK stuff.<br />
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<a href="http://1.bp.blogspot.com/-aEbapqqTxyA/Uxn1KVWuH5I/AAAAAAAAAZc/QYku-LmoRZE/s1600/IWA2014_285.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://1.bp.blogspot.com/-aEbapqqTxyA/Uxn1KVWuH5I/AAAAAAAAAZc/QYku-LmoRZE/s1600/IWA2014_285.jpg" height="150" width="200" /></a></div>
<a href="http://4.bp.blogspot.com/-5GIONlmAAVc/Uxn1LF3KY-I/AAAAAAAAAZU/j__ezPHumjY/s1600/IWA2014_286.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://4.bp.blogspot.com/-5GIONlmAAVc/Uxn1LF3KY-I/AAAAAAAAAZU/j__ezPHumjY/s1600/IWA2014_286.jpg" height="150" width="200" /></a>First of all HK MR223 and MR308 got overhaul to follow changes in HK416A5 and HK417A2 respectively. New civilian rifles have almost all features of military rifles, including RAL8000 color scheme. Almost. They keep heavy barrels and yes, they do not have adjustable gas regulators. Gas block remains same as on older version. Additionally MR308 gets new slim line handguard with Keymod attachment system in place of 3 and 9 o'clock rails.<br />
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<a href="http://1.bp.blogspot.com/-C9Te1MoNGiM/Uxn2XpVhBwI/AAAAAAAAAZw/oz-FN11Ildg/s1600/IWA2014_289.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" src="http://1.bp.blogspot.com/-C9Te1MoNGiM/Uxn2XpVhBwI/AAAAAAAAAZw/oz-FN11Ildg/s1600/IWA2014_289.jpg" height="150" width="200" /></a></div>
<a href="http://2.bp.blogspot.com/-8oPIzD940o0/Uxn1JmtQ-6I/AAAAAAAAAZI/LxI6TJqPWyk/s1600/IWA2014_282.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://2.bp.blogspot.com/-8oPIzD940o0/Uxn1JmtQ-6I/AAAAAAAAAZI/LxI6TJqPWyk/s1600/IWA2014_282.jpg" height="150" width="200" /></a>HK also presented new HKS 243 - civilian G36 version that you can have in several flavors and coloours including classic handguard and folding stock and newest railed handguard and folding/collapsible/cheek-adjustable stock.There also is Keymod handguard for HKS 243 avaliable. Looks like HK really approves and idea.Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com7tag:blogger.com,1999:blog-6823787454788802141.post-441190672983090042014-03-06T17:36:00.000+01:002014-03-06T17:36:03.824+01:00IWA2014 - HK at EnforceTac<a href="http://2.bp.blogspot.com/-PC1DgoD28tM/UxijomTSzwI/AAAAAAAAAYg/t0muM6KZSwM/s1600/IWA2014_244.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://2.bp.blogspot.com/-PC1DgoD28tM/UxijomTSzwI/AAAAAAAAAYg/t0muM6KZSwM/s1600/IWA2014_244.jpg" height="240" width="320" /></a>Today I visited EnforceTac exhibition as prelude to IWA 2014 fairs. Managed to talk a little at HK booth and got some news. Unfortunately, looks like striker fired pistol (HK SFP9) will be delayed more. They have prototype at the booth but not for open play or taking photos. But this delay might actually lead to good news, because they want to refine some aspects of pistol. Other news will be presented soon (hopefully tomorrow - I will believe when I see it) - new version of civilian HK416, named HK MR223A3. It is supposed to have (or at least mimic) features of HK416A5, including ambidextrous layout.<br />
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<a href="http://1.bp.blogspot.com/-sUz81ElNclg/Uxijoh1F7DI/AAAAAAAAAYc/dZivQP4NPcA/s1600/IWA2014_254.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://1.bp.blogspot.com/-sUz81ElNclg/Uxijoh1F7DI/AAAAAAAAAYc/dZivQP4NPcA/s1600/IWA2014_254.jpg" height="240" width="320" /></a>From things that I saw today, my interest went to new HK417, G28, G36 and MP5 handguards with Keymod attachment points. Those are not same handguards as HK USA presented on SHOT Show this year. Here is a teaser photo.Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com3tag:blogger.com,1999:blog-6823787454788802141.post-41362150487835425202014-02-25T13:59:00.000+01:002014-02-25T13:59:17.990+01:00First 3Gun Liga Sportera match in 2014 - Season Opener<div class="separator" style="clear: both; text-align: center;">
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My first match this year and (as shameful as it sounds) almost first opportunity to shoot at all this year (I just managed to verify zero on my rifle and to learn POA/POI relation for B&P Big Game slugs on my shotgun).<br />
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Fortunately organizers prepared a bit easier shooting that they could. Mostly because they were afraid that in bad weather we could not shoot all stages due to slow pace. But looks like we have beautiful Spring this Winter (but we had share of snow and low temp as well).<br />
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New seasons sees number of changes in Liga Sportera rulebook. Most of them apply to all divisions, but some significant ones apply to shotguns in Open division and makes it more balanced for both magazine fed and tube fed shotguns. It still probably needs some fine-tune but is better (from my point of view at least) that it used to be. But one of general changes (starting condition of firearm) gave me some hard time. Before, firearms that we pick up during course of fire where loaded, chamber empty, slide/bolt closed, hammer down and safety could be in off position. Now safety must be on even with empty chamber (if technically possible). You can easily see that on at least 2 stages (Stage 5 and 3) it took me some time to go, find my brains and let it figure out why the hell my shotgun is not going bang. Hopefully I will learn fast.<br />
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On this match I used my 14.5" HK MR223 rifle with Aimpoint MicroT1, 18.5" Benelli M1 Super 90 shotgun and Glock 17 Gen4 with slide mounted Vortex Razor Red Dot. I also used new HK polymer translucent magazines. So far they work flawless for me and I like them very much. I do also try new way to (not) clean my guns. All were primed with Fireclean gun oil(?). I intend to shoot them some more before I even try to clean them, maybe except few passes of Otis Ripcord in my rifle barrel.Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0Nadleśnictwo Czerniejewo, 62-250, Poland52.347315636649057 17.48723244384768852.32791563664906 17.446891943847689 52.366715636649054 17.527572943847687tag:blogger.com,1999:blog-6823787454788802141.post-12369669561459187912014-02-20T11:56:00.001+01:002014-02-20T11:56:40.472+01:00It has been to long<div class="separator" style="clear: both; text-align: center;">
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Looks like I went to winter sleep or something, but I'm slowly stretching my limbs and going back. For this Sunday I will have first 3Gun Liga Sportera match this season, so short report and video will show up sometime next week. My P30L is well past 2000 rounds no cleaning and no lube. It is becoming boring, because it just works. As I wrote before, this test was pointless anyway. First week of March I go for IWA2014 fairs in Nuremberg. Hopefully I will have some exciting news or at least some nice pictures to throw on blog. Anyway, welcome to 2014!Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0tag:blogger.com,1999:blog-6823787454788802141.post-75880870355136639582013-09-28T16:53:00.001+02:002013-09-28T16:53:23.345+02:00Blaszanka shoot-off championship 2013<br />
Last weekend we had our small shoot-off championship in Blaszanka
competition (loosely based on IPSC shoot-off rules). I managed to finish
on 4th place (or more properly did not manage to finish 3rd or higher).
Here is short video mix from this match made by my friend Obione. Enjoy.<br />
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<iframe allowfullscreen="" frameborder="0" height="344" src="//www.youtube.com/embed/Sefr3-_V-wk" width="459"></iframe>Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com2Makówka, Poland52.8959334 23.53829380000001927.373898899999997 -17.77030019999998 78.4179679 64.846887800000019tag:blogger.com,1999:blog-6823787454788802141.post-39505233467524904672013-07-22T11:14:00.000+02:002013-07-22T11:15:56.203+02:00Glock 17 Gen2 ends its career in styleMy friend had and Glock 17. It was Gen2 (CNM series), that he bought used some10+ years ago. It was not used a lot by security company that owned it, they mostly carry, rarely shoot (even for training). But my friend, he shot it a lot. And he shot it good (he is one of best IPSC and IDPA shooters in country). He even cleaned it... once a year or so. (Pictures inside!)<br />
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On recent IPSC match, he started to have accuracy problems. Other friend suggested that there might some micro cracks developed on slide. He wanted to show how to do it with some oil and chalk, took pistol and returned it saying " there is actually no need of oil and chalk...."<br />
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Then other friend looked at it as well and said "hmmm... there is something missing here...."<br />
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More detailed inspection let to yet another find:<br />
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Keep in mind, that this pistol was still running with no malfunctions, only with some accuracy loss (actually probably more because barrel was no more locking tight in slide - it had some 0.5-1mm play when in battery). We estimate that pistol shot no less than 70,000 rounds, but not more than 100,000. Some of it were 9x19 NATO loads (+P equivalent), some were steel cased, some were with plated steel jacket, whatever could be bought cheap here.<br />
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What is the point of this story? Modern pistols really can go for long time. They can even keep going after they are broken. They can keep going with almost not maintenance at all. But they still require at least to be periodically checked against wear and tear, because when they go down, they do it in style.<br />
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In case of my friend, this was his only pistol (here we need license for every firearm, and his is for one pistol only) and not only competition one. He has new production Gen3 G17 coming his way in next two weeks.<br />
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I hope you found story entertaining.Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0tag:blogger.com,1999:blog-6823787454788802141.post-70249725792914729182013-06-25T13:50:00.001+02:002013-06-25T13:50:24.271+02:003Gun Liga Sportera, 23rd of June 2013<div class="separator" style="clear: both; text-align: center;">
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Again, 3Gun Liga Sportera match. I had some problems on stage 2 and 4, but both I brought upon myself. On stage 2 I used 28g (1oz) reduced recoil slugs, that I know that they barely cycle my Benelli M1. Of course on stage they did not cycle it at all. Luckily only 5 shots required. On stage 4 I had problem with hitting steel with my HK45C - problem is I set sights at home to be more-less straight and did not have time to verify POA/POI. I could take my other handgun with me, but just for fun decided to take HK45C. I also first time used HSGI Battle Belt and G-Code MULE holster platform with RTI system. This setup work nice for me, I just need to get some HSGI Pistol Taco's for it.<br /><br />My setup this time was 5.56mm wz.96/06 Mini Beryl (aka Mini Radom-Sport) 9.4" SBR with Aimpoint Micro T1, 12 gauge Benelli M1 Super 90 with Vortex Razor Red Dot and .45ACP HK45C.Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0tag:blogger.com,1999:blog-6823787454788802141.post-66460527850462203112013-06-19T22:44:00.000+02:002013-06-20T13:18:15.312+02:00HK P30/P30L short travel LEM (CDA) trigger V4.1 aka V4 CH<div class="separator" style="clear: both; text-align: center;">
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For last month or so I'm testing reduced travel LEM (called CDA in Europe, for Combat Defense Action) trigger, that I call V4.1 (internal HK designation V4 CH). What this trigger group does is reducing pre-travel on P30 LEM trigger by roughly 1/3, from 15mm (0.590") to 10mm (0.393") measured in middle of trigger height. After initial pre-travel there is 1.5mm (0.059") of sear engagement travel (think of it as second stage in 2-stage trigger) and 1mm (0.039") of over-travel. Sear travel and over-travel are same for all variants (V4.1 does not change that) except for V6, that is "real" DAO trigger. Reset is same as standard LEM trigger at 7.5mm (0.295"). 5mm (0.196") of reduction may not sound a lot, but in real life it make big difference. It no longer feels like eternity to take up LEM trigger, so there is less tendency for trigger jerking during fast shooting. Overall feel is very good.<br />
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For those wondering how to get this trigger, nice guys from HK sent me conversion chart for every P30/P30L trigger variant and give green light to share it.<br />
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<a href="http://4.bp.blogspot.com/-TsdOQ92U0cE/UcIXAp7wHwI/AAAAAAAAAXQ/peRS5Ml4iYw/s1600/P1050205.JPG" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="150" src="http://4.bp.blogspot.com/-TsdOQ92U0cE/UcIXAp7wHwI/AAAAAAAAAXQ/peRS5Ml4iYw/s200/P1050205.JPG" width="200" /></a>Below are HK part numbers for parts needed to do conversion from old trigger variants to V4.1 (or V4 CH) trigger. Upgrade should be done by HK armorer, but it is not that hard to figure it out for people who have some experience with HK USP and P series triggers. Parts can be ordered via local HK distributor, most of them are not yet aware of this trigger group, so providing them with part numbers should make things easier. So here go parts list (sorry for very rough translation from German into English):<br />
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V0 -> V4.1: <span class="" id="result_box" lang="en"><span class="hps alt-edited">HAMMER</span> <span class="hps">207934, </span><span class="hps">CATCH</span> <span class="hps">LATCH</span> <span class="hps">207933, </span><span class="hps alt-edited">COMPRESSION SPRING</span> <span class="hps">207932, </span><span class="hps alt-edited">LATCH</span>, <span class="hps">cpl.</span> <span class="hps">209320, </span><span class="hps alt-edited">LEG SPRING</span> <span class="hps">234773, </span><span class="hps">CONTROL</span> <span class="hps alt-edited">LATCH</span> <span class="hps">209274</span></span><br />
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<span class="" id="result_box" lang="en"><span class="hps">V1 and V2 -> V4.1: </span></span><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps alt-edited">HAMMER</span><span class="hps"></span> <span class="hps">207934, </span><span class="hps">CATCH</span> <span class="hps">LATCH</span> <span class="hps">207933, </span><span class="hps alt-edited">COMPRESSION SPRING</span> <span class="hps">207932, </span><span class="hps alt-edited">LEG SPRING</span> <span class="hps">234773</span></span></span></span><br />
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<span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps">V3 -> V4.1: </span></span></span></span><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps alt-edited">HAMMER</span><span class="hps"></span> <span class="hps">207934, </span><span class="hps">CATCH</span> <span class="hps">LATCH</span> <span class="hps">207933, </span><span class="hps alt-edited">COMPRESSION SPRING</span> <span class="hps">207932, </span><span class="hps alt-edited">LATCH</span><span class="">,</span> <span class="hps">cpl.</span> <span class="hps">209320, </span><span class="hps alt-edited">CLAMPING PIECE</span> <span class="hps">209265, </span><span class="hps alt-edited">LEG SPRING</span> <span class="hps">234773, </span><span class="hps">CONTROL</span> <span class="hps alt-edited">LATCH</span> <span class="hps">209274, </span><span class="hps alt-edited">LEG SPRING</span> <span class="hps">209275, </span><span class="hps alt-edited">COMPRESSION SPRING</span> <span class="hps">214695</span></span></span></span></span></span><br />
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<span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps">V4 -> V4.1: </span></span></span></span></span></span><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps alt-edited">HAMMER</span> <span class="hps">207934, </span><span class="hps">CATCH</span> <span class="hps">LATCH</span> <span class="hps">207933, </span><span class="hps alt-edited">COMPRESSION SPRING</span> <span class="hps">207932</span></span></span></span></span></span></span></span><br />
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<span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps">V6 -> V4.1: </span></span></span></span></span></span></span></span><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps alt-edited">HAMMER</span><span class="hps"></span> <span class="hps">207934, </span><span class="hps">CATCH</span> <span class="hps">LATCH</span> <span class="hps">207933, </span><span class="hps alt-edited">COMPRESSION SPRING</span> <span class="hps">207932, </span><span class="hps alt-edited">LATCH</span><span class="">,</span> <span class="hps">cpl.</span> <span class="hps">209320, </span><span class="hps alt-edited">CLAMPING PIECE</span> <span class="hps">209265, </span><span class="hps alt-edited">LEG SPRING</span> <span class="hps">234773, </span><span class="hps alt-edited">LEG SPRING</span> <span class="hps">209275, </span><span class="hps alt-edited">COMPRESSION SPRING</span> <span class="hps">214695, </span><span class="hps">TRIGGER</span> <span class="hps">ROD</span> <span class="hps">207331, </span><span class="hps">LEAF</span> <span class="hps">SPRING</span> <span class="hps">214167</span></span> </span></span></span></span></span></span></span></span><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps"> </span></span></span></span></span></span><br />
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<span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps"><span class="" id="result_box" lang="en"><span class="hps">BTW My pointless P30 endurance test continues. Last session added shooting 138 trouble free 124gr FMJ Geco rounds. This means 829 rounds since last time cleaned and lubed.</span></span></span></span></span></span> Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com27tag:blogger.com,1999:blog-6823787454788802141.post-4501793147001995022013-06-01T14:46:00.004+02:002013-06-01T14:46:57.956+02:005th Olsztyn Open IPSC handgun match<div class="separator" style="clear: both; text-align: center;">
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Last Saturday, 25th of May, I shot IPSC handgun match in Olsztyn, Poland. I had quite a pause in shooting IPSC matches, but it went quite good for me. My new V4.1 LEM trigger in P30L works fine. As always with HK, you just drop parts in and good to go - no fitting needed. I have two failures to fire. When I looked on rounds, it is clear that in new batch of Geco, they used new type of primer. It is either much harder or not very reliable. Actually since RWS moved manufacture of this ammo from Swiss to Hungary (ex-MFS plant) seem like quality went significantly down. Time to start loading own ammo, at least for match use.<br />
On this match I used 224 rounds of Geco 124gr FMJ "IPSC Approved" ammo. That means 691 rounds since last cleaning of pistol. 2 failure to fire malfunctions, both of new lot of Geco ammo.Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0tag:blogger.com,1999:blog-6823787454788802141.post-70123845702141351392013-05-23T12:44:00.003+02:002013-05-23T12:44:53.184+02:00Blaszanka match and P30L pointless test continued<div class="separator" style="clear: both; text-align: center;">
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Last Sunday we handgun shootoff match, called "Blaszanka". Name came from traditional first prize, that is bottle of Whisky in tin can made from "blacha". I do not like shooting steel, it somehow intimidate me, anyway I managed to make 3rd place. I was almost 2nd, but "almost is big difference". During this match I used my HK P30L with LEM trigger. I shot 221 rounds of Geco 124gr FMJ and 3 rounds of Barnaul 115gr FMJ steel cased ammo. Barnaul was used to check it on chrono. It barely made Power Factor 125 (125,000 in IDPA) - this is really weak round. Round count since last cleaning and lubing - 467.Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0tag:blogger.com,1999:blog-6823787454788802141.post-303275010283370112013-05-14T23:47:00.002+02:002013-05-15T23:34:28.931+02:00Pointless HK P30L endurance testRecently I received from HK set of factory parts for my P30L. Those parts are V2 LEM trigger with slightly reduced trigger travel. Reset distance remains same. Anyway, installing this parts (drop in without any need of fitting - HK standard) was opportunity to clean up my P30L. Actually field stripping it, made gunk just drop out under own weight. I did not do detailed cleaning, but removed most of what could be removed with soft cloth and paper towels. Put some oil on it and assembled. I decided, that this is opportunity to see how good my P30L works. So from now on I will keep record of rounds fired, add some oil when I feel it really slows down and clean when it starts to malfunction or I got bored (whatever comes first).<br />
Last weekend was opportunity to log 243 rounds on Steel Day organized by Shooting Academy range. Below is video from this match. <br />
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<br />Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com0tag:blogger.com,1999:blog-6823787454788802141.post-60918906994132670322013-05-11T23:13:00.000+02:002013-05-13T14:58:47.857+02:00How to mod H&S Speedsec 5CW HK USP speed holster to work with HK P30, P30L, HK45 and HK45c<a href="http://2.bp.blogspot.com/-qTRDwpQCaVw/UY6yjdRZnsI/AAAAAAAAAV8/5C9noc1An3s/s1600/5CW_002.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="150" src="http://2.bp.blogspot.com/-qTRDwpQCaVw/UY6yjdRZnsI/AAAAAAAAAV8/5C9noc1An3s/s200/5CW_002.jpg" width="200" /></a>When I got my first P30, I hand on hand my first IPSC speed holster for HK USP: Hoppner and Schumann Speedsec 5CW. I modified it to work with P30 using Dremel tool with cylinder shaped milling bit and hand file. 5CW is made from polymer so use low speed and work slowly to not overdo. Modified holster still accepts HK USP, but also works with USP Compact, P2000, P2000SK, P30, P30L, HK45, HK45C and even HK P7.<br />
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<a href="http://3.bp.blogspot.com/-eqHwerQHXEM/UY6yhO3t0LI/AAAAAAAAAV0/tdAdDQLpbhg/s1600/5CW_001a.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="150" src="http://3.bp.blogspot.com/-eqHwerQHXEM/UY6yhO3t0LI/AAAAAAAAAV0/tdAdDQLpbhg/s200/5CW_001a.jpg" width="200" /></a></div>
New line of HK pistols have larger magazine release and wider bottom part of triggerguard. To allow space for magazine release (dropping mag every time gun is holstered is kind of annoying) back part of top of holster must be filled down for larger clearance, like on picture.<br />
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<a href="http://4.bp.blogspot.com/-O96jTltTJjM/UY6ylHhxd2I/AAAAAAAAAWE/M3y6zwh-7NI/s1600/5CW_004a.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="150" src="http://4.bp.blogspot.com/-O96jTltTJjM/UY6ylHhxd2I/AAAAAAAAAWE/M3y6zwh-7NI/s200/5CW_004a.jpg" width="200" /></a>To make P30 fit into holster, I used Dremel High Speed Cutter (115). With this bit I made opening in holster wider in back part (see picture). Wider channel reaches as deep as to locking claw and this claw is also partially undercut to allow engagement on triggerguard to lock out holster. This allow wide portion of triggerguard to slide into created channels. This also generate very positive gun retention in holster, while only short up movement is needed to allow moving gun forward. Wide portion of triggerguard does not need to fully clear holster opening.<br />
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I hope this short guide and pictures will help to do this mod (please take note, that holster on photos is left handed version.. I'm not aware of dedicated HK P30 IPSC speed holster, so this may be good solution for P30 owners shooting IPSC. For those looking for classic style IPSC holster for P30, have a look at Comp-Tac International holster with drop offset mount.<br />
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<br />Montralahttp://www.blogger.com/profile/10917783652036042750noreply@blogger.com1