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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.55%
Members: 29 active members (75 total)
Avg. Member Points: 11,662
Total Kills: 347,466
Total Deaths: 298,839
Avg. Kills: 11,982
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 388d 15:20:40h
Avg. Connection Time: 13d 09:37:57h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points Activity Time Kills Clan Kills % Deaths sort-descending.gif Kpd
1  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 12.12% 38,689 1.09
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,787 46d 21:12:43h 69,011 19.86% 31,407 2.20
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.17% 24,192 1.03
4  Russian federationLoony elorank 9,426 30d 12:35:17h 20,062 5.77% 22,263 0.90
5  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.65% 18,072 0.89
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.77% 15,929 1.48
7  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.05% 15,207 1.15
8  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.66% 14,654 0.63
9  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.99% 13,411 1.03
10  Russian federationStanislav752 elorank 10,877 15d 15:15:18h 12,951 3.73% 12,314 1.05
11  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.54% 12,180 1.58
12  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.44% 11,872 0.42
13  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.33% 10,412 1.11
14  Russian federationBISON elorank 9,997 8d 15:34:32h 5,697 1.64% 8,585 0.66
15  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.70% 7,910 0.75
16  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.37% 6,243 0.76
17  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.10% 5,572 1.93
18  Russian federationavpvovan elorank 9,850 5d 20:54:08h 4,459 1.28% 5,044 0.88
19  Russian federationубивашка 62 elorank 17,454 5d 17:37:59h 6,872 1.98% 4,611 1.49
20  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,194 3d 14:42:30h 3,449 0.99% 3,630 0.95


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 26,680 times 26,680
2 Pick up the Bomb 22,599 times 45,198
3 Round MVP 16,818 times 0
4 Drop the Bomb 12,457 times -24914
5 Double Kill (2 kills) 10,653 times 10,653
6 Plant the Bomb 4,733 times 47,330
7 Domination 3,293 times 16,465
8 Triple Kill (3 kills) 2,554 times 5,108
9 Revenge 1,650 times 4,950
10 Start Defusing the Bomb With a Defuse Kit 678 times 0
11 Defuse the Bomb 498 times 4,980
12 Domination (4 kills) 446 times 1,338
13 Start Defusing the Bomb Without a Defuse Kit 67 times 0
14 Rampage (5 kills) 48 times 192
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 Times Victimized sort-descending.gif Points Bonus
1 Domination 2,646 times -13230
2 Revenge 1,932 times -5796




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 3,101 times 28.01%
2 Counter-Terrorist 2,375 times 21.45%




  Weapon Usage *

Rank Weapon Points Modifier sort-descending.gif Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Bundeswehr Advanced Combat Knife 2.00 1,631 0.47% 2 0.00% 0.00
2 High Explosive Grenade 1.80 2,488 0.72% 0 0.00% 0.00
3 Steyr Tactical Machine Pistol 1.50 59 0.02% 30 0.02% 0.51
4 Sig Sauer P-228 1.50 1,243 0.36% 529 0.40% 0.43
5 Ingram MAC-10 1.50 117 0.03% 57 0.04% 0.49
6 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
7 H&K USP .45 Tactical 1.40 136 0.04% 71 0.05% 0.52
8 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
9 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 0.46
10 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
11 FN P90 1.20 1,562 0.45% 694 0.53% 0.44
12 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
13 Benelli M3 Super 90 Combat 1.20 640 0.18% 269 0.20% 0.42
14 M249 PARA Light Machine Gun 1.20 2,239 0.64% 1,080 0.82% 0.48
15 Desert Eagle .50AE 1.20 6,505 1.87% 3,633 2.76% 0.56
16 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
17 Steyr Scout 1.10 5,945 1.71% 3,742 2.84% 0.63
18 Galil 1.10 120 0.03% 50 0.04% 0.42
19 Sig Sauer SG-552 Commando 1.00 961 0.28% 427 0.32% 0.44
20 Colt M4A1 Carbine 1.00 11,540 3.32% 5,213 3.96% 0.45
21 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
22 Arctic Warfare Magnum (Police) 1.00 2,407 0.69% 401 0.30% 0.17
23 Steyr Aug 1.00 73 0.02% 36 0.03% 0.49
24 Kalashnikov AK-47 1.00 18,977 5.46% 9,613 7.30% 0.51
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 572,668 68,848 2,722,522 10,041 19,506 9.4050 12.0% 39.5 29.4
2 Colt M4A1 Carbine 403,238 51,028 1,621,079 5,210 11,537 11.1254 12.7% 31.8 35.0
3 Desert Eagle .50AE 70,742 18,264 950,174 3,667 6,545 4.3662 25.8% 52.0 10.8
4 Steyr Scout 47,733 14,347 1,370,083 3,735 5,939 2.3794 30.1% 95.5 8.0
5 Arctic Warfare Magnum (Police) 10,011 3,474 467,780 408 2,415 5.0735 34.7% 134.7 4.1
6 M249 PARA Light Machine Gun 116,378 8,655 324,385 1,132 2,297 12.0895 7.4% 37.5 50.7
7 FN P90 77,064 8,833 207,064 694 1,562 10.2092 11.5% 23.4 49.3
8 Sig Sauer P-228 33,592 5,203 160,260 529 1,243 22.6000 15.5% 30.8 27.0
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 2,890 5,817 83,982 269 640 2.1405 201.3% 14.4 4.5
11 Bundeswehr Advanced Combat Knife 11,951 1,134 58,982 2 391 1.6926 9.5% 52.0 30.6
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 5,162 942 19,343 70 135 10.3846 18.2% 20.5 38.2
14 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
15 Ingram MAC-10 5,006 839 15,200 56 114 28.5000 16.8% 18.1 43.9
16 H&K MP5-Navy 4,929 900 15,098 45 103 11.4444 18.3% 16.8 47.9
17 Glock 18 Select Fire 5,240 905 15,932 50 103 6.8667 17.3% 17.6 50.9
18 Benelli/H&K M4 Super 90 XM1014 1,344 924 10,916 28 75 15.0000 68.8% 11.8 17.9
19 Steyr Aug 2,907 396 11,724 37 74 10.5714 13.6% 29.6 39.3
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 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
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 68,848 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 51,028 27.8% 59.1% 13.0%
3 Desert Eagle .50AE 18,264 26.2% 61.7% 12.2%
4 Steyr Scout 14,322 26.4% 64.9% 8.7%
5 FN P90 8,833 27.9% 56.5% 15.6%
6 M249 PARA Light Machine Gun 8,655 28.4% 57.0% 14.6%
7 Benelli M3 Super 90 Combat 5,817 29.6% 57.3% 13.1%
8 Sig Sauer P-228 5,203 28.6% 57.7% 13.7%
9 Sig Sauer SG-552 Commando 4,956 28.8% 55.9% 15.3%
10 Arctic Warfare Magnum (Police) 3,474 32.5% 57.7% 9.8%
11 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
12 H&K USP .45 Tactical 942 24.8% 62.4% 12.7%
13 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
14 Glock 18 Select Fire 905 26.4% 62.3% 11.3%
15 H&K MP5-Navy 900 28.4% 56.8% 14.8%
16 Ingram MAC-10 839 26.3% 58.4% 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 / 347466 * 100, 2) AS kpercent,
			ROUND(headshots / 131665 * 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