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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.89%
Members: 29 active members (75 total)
Avg. Member Points: 11,663
Total Kills: 347,473
Total Deaths: 298,845
Avg. Kills: 11,982
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 388d 15:32:16h
Avg. Connection Time: 13d 09:38:21h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points sort-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,787 46d 21:12:43h 69,011 19.86% 31,407 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.10% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.17% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,492 5d 17:46:46h 6,879 1.98% 4,617 1.49
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.33% 10,412 1.11
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.54% 12,180 1.58
7  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31
8  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 12.12% 38,689 1.09
9  Russian federationИлья190RUS elorank 12,780 3d 20:39:35h 4,029 1.16% 3,506 1.15
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.89% 1,465 2.12
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.05% 15,207 1.15
12  Russian federationStanislav752 elorank 10,877 15d 15:18:07h 12,951 3.73% 12,314 1.05
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.99% 13,411 1.03
14  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.84% 2,272 1.28
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.77% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,194 3d 14:42:30h 3,449 0.99% 3,630 0.95
17  Russian federationShalfeYka elorank 10,155 2d 02:47:21h 1,861 0.54% 1,855 1.00
18  Russian federationBISON elorank 9,997 8d 15:34:32h 5,697 1.64% 8,585 0.66
19  Russian federationavpvovan elorank 9,850 5d 20:54:08h 4,459 1.28% 5,044 0.88
20  Russian federationSprut elorank 9,466 2d 05:32:07h 1,786 0.51% 2,281 0.78


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 26,549 times 26,549
2 Pick up the Bomb 22,523 times 45,046
3 Round MVP 16,717 times 0
4 Drop the Bomb 12,392 times -24784
5 Double Kill (2 kills) 10,599 times 10,599
6 Plant the Bomb 4,730 times 47,300
7 Domination 3,278 times 16,390
8 Triple Kill (3 kills) 2,540 times 5,080
9 Revenge 1,641 times 4,923
10 Start Defusing the Bomb With a Defuse Kit 667 times 0
11 Defuse the Bomb 490 times 4,900
12 Domination (4 kills) 445 times 1,335
13 Start Defusing the Bomb Without a Defuse Kit 65 times 0
14 Rampage (5 kills) 47 times 188
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 4 times 20
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 1,924 times -5772
2 Domination 2,627 times -13135




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,351 times 21.45%
2 Terrorist 3,078 times 28.08%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 18,896 5.44% 9,576 7.27% 0.51
2 Colt M4A1 Carbine 1.00 11,377 3.27% 5,158 3.92% 0.45
3 Desert Eagle .50AE 1.20 6,487 1.87% 3,620 2.75% 0.56
4 Steyr Scout 1.10 5,942 1.71% 3,739 2.84% 0.63
5 High Explosive Grenade 1.80 2,481 0.71% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,385 0.69% 394 0.30% 0.17
7 M249 PARA Light Machine Gun 1.20 2,225 0.64% 1,073 0.81% 0.48
8 Bundeswehr Advanced Combat Knife 2.00 1,608 0.46% 2 0.00% 0.00
9 FN P90 1.20 1,560 0.45% 693 0.53% 0.44
10 Sig Sauer P-228 1.50 1,232 0.35% 524 0.40% 0.43
11 Sig Sauer SG-552 Commando 1.00 961 0.28% 427 0.32% 0.44
12 Benelli M3 Super 90 Combat 1.20 639 0.18% 268 0.20% 0.42
13 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 0.46
14 H&K USP .45 Tactical 1.40 136 0.04% 71 0.05% 0.52
15 Galil 1.10 120 0.03% 50 0.04% 0.42
16 Ingram MAC-10 1.50 114 0.03% 55 0.04% 0.48
17 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
18 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
19 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
20 Steyr Aug 1.00 73 0.02% 36 0.03% 0.49
21 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
22 Steyr Tactical Machine Pistol 1.50 59 0.02% 30 0.02% 0.51
23 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
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 Shots Hits Damage sort-descending.gif Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 568,804 68,542 2,711,033 10,004 19,425 9.4388 12.1% 39.6 29.3
2 Colt M4A1 Carbine 392,778 50,234 1,598,512 5,155 11,374 11.1292 12.8% 31.8 34.5
3 Steyr Scout 47,693 14,337 1,369,116 3,732 5,936 2.3839 30.1% 95.5 8.0
4 Desert Eagle .50AE 70,540 18,224 947,305 3,654 6,527 4.3542 25.8% 52.0 10.8
5 Arctic Warfare Magnum (Police) 9,953 3,449 463,213 401 2,393 5.0379 34.7% 134.3 4.2
6 M249 PARA Light Machine Gun 115,947 8,597 322,121 1,125 2,283 12.0158 7.4% 37.5 50.8
7 FN P90 77,039 8,821 206,815 693 1,560 10.1961 11.5% 23.4 49.4
8 Sig Sauer P-228 33,362 5,168 159,164 524 1,232 22.4000 15.5% 30.8 27.1
9 Sig Sauer SG-552 Commando 74,004 4,956 143,497 440 977 37.5769 6.7% 29.0 75.7
10 Benelli M3 Super 90 Combat 2,885 5,814 83,850 268 639 2.1515 201.5% 14.4 4.5
11 Bundeswehr Advanced Combat Knife 11,846 1,123 58,043 2 386 1.6856 9.5% 51.7 30.7
12 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
13 H&K USP .45 Tactical 5,139 933 19,211 70 135 10.3846 18.2% 20.6 38.1
14 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
15 Glock 18 Select Fire 5,188 903 15,870 50 103 6.8667 17.4% 17.6 50.4
16 H&K MP5-Navy 4,929 900 15,098 45 103 11.4444 18.3% 16.8 47.9
17 Ingram MAC-10 4,901 823 14,828 54 111 27.7500 16.8% 18.0 44.2
18 Steyr Aug 2,907 396 11,724 37 74 10.5714 13.6% 29.6 39.3
19 Benelli/H&K M4 Super 90 XM1014 1,344 924 10,916 28 75 15.0000 68.8% 11.8 17.9
20 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
21 Steyr Tactical Machine Pistol 4,010 502 8,977 29 58 58.0000 12.5% 17.9 69.1
22 Fusil Automatique 1,188 214 6,712 22 46 46.0000 18.0% 31.4 25.8
23 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
25 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 68,542 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 50,234 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 18,224 26.2% 61.6% 12.2%
4 Steyr Scout 14,312 26.4% 64.9% 8.7%
5 FN P90 8,821 27.9% 56.5% 15.6%
6 M249 PARA Light Machine Gun 8,597 28.4% 57.0% 14.7%
7 Benelli M3 Super 90 Combat 5,814 29.6% 57.3% 13.1%
8 Sig Sauer P-228 5,168 28.7% 57.7% 13.6%
9 Sig Sauer SG-552 Commando 4,956 28.8% 55.9% 15.3%
10 Arctic Warfare Magnum (Police) 3,449 32.6% 57.6% 9.8%
11 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
12 H&K USP .45 Tactical 933 24.8% 62.5% 12.8%
13 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
14 Glock 18 Select Fire 903 26.4% 62.3% 11.3%
15 H&K MP5-Navy 900 28.4% 56.8% 14.8%
16 Ingram MAC-10 823 26.7% 58.0% 15.3%
17 Steyr Tactical Machine Pistol 502 25.7% 63.1% 11.2%
18 Galil 500 28.8% 55.6% 15.6%
19 Steyr Aug 396 27.5% 56.8% 15.7%
20 FN Five-Seven 344 23.3% 62.5% 14.2%
21 H&K UMP45 269 26.4% 53.5% 20.1%
22 Fusil Automatique 214 22.0% 63.6% 14.5%
23 Bundeswehr Advanced Combat Knife 50 24.0% 68.0% 8.0%
24 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
25 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%


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 / 347473 * 100, 2) AS kpercent,
			ROUND(headshots / 131668 * 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