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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.75%
Members: 33 active members (74 total)
Avg. Member Points: 11,629
Total Kills: 395,208
Total Deaths: 327,507
Avg. Kills: 11,976
Kills per Death: 1.21
Kills per Minute: 0.64
Total Connection Time: 427d 01:10:29h
Avg. Connection Time: 12d 22:34:51h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name sort-descending.gif Rank Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.23% 16,883 1.93
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,787 46d 21:12:43h 69,011 17.46% 31,407 2.20
3  Russian federation⇜Ṧ†êrvå⇝ elorank 9,360 6d 14:02:54h 4,753 1.20% 6,226 0.76
4  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.26% 11,872 0.42
5  Russian federationубивашка 62 elorank 17,385 5d 06:55:18h 6,314 1.60% 4,269 1.48
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 5.95% 15,929 1.48
7  Russian federationХЗкак elorank 9,277 5d 06:29:14h 5,800 1.47% 4,395 1.32
8  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.79% 1,465 2.12
9  Russian federationИлья190RUS elorank 12,492 3d 16:48:32h 3,873 0.98% 3,363 1.15
10  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.73% 5,572 1.93
11  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.12% 471 1.02
12  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.51% 13,411 1.03
13  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.21% 754 1.08
14  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.27% 775 1.38
15  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.31% 24,192 1.03
16  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.13% 5,036 0.88
17  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.28% 12,310 1.05
18  Russian federationSprut elorank 9,350 2d 04:11:57h 1,728 0.44% 2,235 0.77
19  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,292 3d 10:16:59h 3,267 0.83% 3,432 0.95
20  Russian federationShalfeYka elorank 10,238 1d 22:48:31h 1,696 0.43% 1,717 0.99


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 4,765 times 47,650
2 Pick up the Bomb 22,829 times 45,658
3 Headshot 26,845 times 26,845
4 Domination 3,342 times 16,710
5 Double Kill (2 kills) 10,732 times 10,732
6 Triple Kill (3 kills) 2,578 times 5,156
7 Defuse the Bomb 504 times 5,040
8 Revenge 1,654 times 4,962
9 Domination (4 kills) 452 times 1,356
10 Rampage (5 kills) 48 times 192
11 Mega Kill (6 kills) 4 times 20
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 65 times 0
15 Start Defusing the Bomb With a Defuse Kit 702 times 0
16 Round MVP 17,027 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 12,709 times -25418




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 1,956 times -5868
2 Domination 2,662 times -13310




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,153 times 28.10%
2 Counter-Terrorist 2,400 times 21.39%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 19,736 4.99% 10,018 6.66% 0.51
2 Colt M4A1 Carbine 1.00 11,574 2.93% 5,224 3.47% 0.45
3 Desert Eagle .50AE 1.20 6,390 1.62% 3,576 2.38% 0.56
4 Steyr Scout 1.10 5,759 1.46% 3,613 2.40% 0.63
5 High Explosive Grenade 1.80 2,486 0.63% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,375 0.60% 386 0.26% 0.16
7 M249 PARA Light Machine Gun 1.20 2,123 0.54% 1,040 0.69% 0.49
8 Bundeswehr Advanced Combat Knife 2.00 1,686 0.43% 2 0.00% 0.00
9 FN P90 1.20 1,502 0.38% 665 0.44% 0.44
10 Sig Sauer P-228 1.50 1,274 0.32% 537 0.36% 0.42
11 Sig Sauer SG-552 Commando 1.00 982 0.25% 438 0.29% 0.45
12 Benelli M3 Super 90 Combat 1.20 638 0.16% 268 0.18% 0.42
13 Dual Beretta 96G Elite 1.40 222 0.06% 101 0.07% 0.45
14 H&K USP .45 Tactical 1.40 136 0.03% 70 0.05% 0.51
15 Galil 1.10 124 0.03% 53 0.04% 0.43
16 Ingram MAC-10 1.50 118 0.03% 59 0.04% 0.50
17 H&K MP5-Navy 1.20 105 0.03% 45 0.03% 0.43
18 Glock 18 Select Fire 1.40 104 0.03% 51 0.03% 0.49
19 Steyr Aug 1.00 81 0.02% 40 0.03% 0.49
20 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 28 0.02% 0.36
21 Steyr Tactical Machine Pistol 1.50 60 0.02% 30 0.02% 0.50
22 FN Five-Seven 1.50 59 0.01% 28 0.02% 0.47
23 Fusil Automatique 1.00 45 0.01% 22 0.01% 0.49
24 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon sort-descending.gif Shots Hits Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Benelli/H&K M4 Super 90 XM1014 1,356 947 11,129 28 77 15.4000 69.8% 11.8 17.6
2 H&K USP .45 Tactical 5,171 929 19,346 69 135 10.3846 18.0% 20.8 38.3
3 H&K UMP45 2,045 267 5,399 16 33 16.5000 13.1% 20.2 62.0
4 Steyr Tactical Machine Pistol 4,020 508 9,032 29 59 59.0000 12.6% 17.8 68.1
5 Sig Sauer SG-552 Commando 74,580 5,063 146,585 451 998 38.3846 6.8% 29.0 74.7
6 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
7 Steyr Scout 46,162 13,878 1,327,471 3,606 5,753 2.4203 30.1% 95.7 8.0
8 FN P90 75,122 8,507 199,039 665 1,502 10.1486 11.3% 23.4 50.0
9 Sig Sauer P-228 34,152 5,281 163,105 537 1,274 24.0377 15.5% 30.9 26.8
10 H&K MP5-Navy 4,946 901 15,000 44 103 11.4444 18.2% 16.6 48.0
11 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
12 Colt M4A1 Carbine 414,913 51,230 1,626,317 5,221 11,571 10.9160 12.3% 31.7 35.9
13 Benelli M3 Super 90 Combat 2,887 5,810 84,222 268 638 2.1126 201.2% 14.5 4.5
14 M249 PARA Light Machine Gun 110,658 8,162 308,716 1,092 2,181 13.1386 7.4% 37.8 50.7
15 Bundeswehr Advanced Combat Knife 12,306 1,203 62,840 2 420 1.7500 9.8% 52.2 29.3
16 Glock 18 Select Fire 5,076 891 15,733 50 102 6.8000 17.6% 17.7 49.8
17 Galil 3,678 527 17,463 53 124 62.0000 14.3% 33.1 29.7
18 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
19 FN Five-Seven 1,285 334 8,810 29 60 30.0000 26.0% 26.4 21.4
20 Fusil Automatique 1,149 203 6,396 21 43 43.0000 17.7% 31.5 26.7
21 Dual Beretta 96G Elite 5,489 1,103 30,605 101 222 74.0000 20.1% 27.7 24.7
22 Desert Eagle .50AE 68,939 17,904 934,956 3,610 6,430 4.4041 26.0% 52.2 10.7
23 Arctic Warfare Magnum (Police) 9,982 3,445 460,463 393 2,383 5.0381 34.5% 133.7 4.2
24 Steyr Aug 3,060 434 12,850 41 82 11.7143 14.2% 29.6 37.3
25 Kalashnikov AK-47 600,234 71,443 2,831,042 10,446 20,264 9.1197 11.9% 39.6 29.6




  Weapon Targets *

Rank Weapon sort-descending.gif Hits Left Middle Right
1 Benelli/H&K M4 Super 90 XM1014 947 27.0% 56.5% 16.5%
2 H&K USP .45 Tactical 929 25.2% 62.5% 12.3%
3 H&K UMP45 267 25.1% 55.1% 19.9%
4 Steyr Tactical Machine Pistol 508 26.2% 62.6% 11.2%
5 Sig Sauer SG-552 Commando 5,063 28.8% 56.0% 15.2%
6 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
7 Steyr Scout 13,853 26.3% 65.0% 8.7%
8 FN P90 8,507 28.1% 56.3% 15.6%
9 Sig Sauer P-228 5,281 28.8% 57.5% 13.7%
10 H&K MP5-Navy 901 28.6% 56.6% 14.8%
11 Ingram MAC-10 826 26.6% 59.0% 14.4%
12 Colt M4A1 Carbine 51,230 27.8% 59.2% 13.0%
13 Benelli M3 Super 90 Combat 5,810 29.5% 57.5% 13.0%
14 M249 PARA Light Machine Gun 8,162 28.2% 57.4% 14.4%
15 Bundeswehr Advanced Combat Knife 59 22.0% 71.2% 6.8%
16 Glock 18 Select Fire 891 26.2% 62.5% 11.3%
17 Galil 527 28.3% 55.2% 16.5%
18 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
19 FN Five-Seven 334 23.7% 62.0% 14.4%
20 Fusil Automatique 203 22.2% 64.5% 13.3%
21 Dual Beretta 96G Elite 1,103 24.9% 61.6% 13.5%
22 Desert Eagle .50AE 17,904 26.3% 61.8% 12.0%
23 Arctic Warfare Magnum (Police) 3,445 32.7% 57.4% 9.9%
24 Steyr Aug 434 27.9% 56.9% 15.2%
25 Kalashnikov AK-47 71,443 27.1% 59.1% 13.8%


Targets
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ERROR
Database Error

Server Address: localhost
Server Username: hlstatsxce

Error Diagnostic:
Bad query.

Server Error: (1052) Column 'map' in order clause is ambiguous

Last SQL Query:
		SELECT *, 
			IFNULL(kills/deaths, '-') AS kpd,
			IFNULL(headshots / kills, '-') AS hpk,
			ROUND(kills / 395208 * 100, 2) AS kpercent,
			ROUND(headshots / 150434 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map desc,
			kills desc