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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 80.54%
Members: 31 active members (75 total)
Avg. Member Points: 11,694
Total Kills: 372,027
Total Deaths: 302,244
Avg. Kills: 12,001
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 398d 12:12:16h
Avg. Connection Time: 12d 20:31:21h
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-ascending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federationILYA MYAU elorank 1,038 0d 00:16:59h 9 0.00% 11 0.82
2  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.34% 11,872 0.42
3  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.59% 7,910 0.75
4  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.13% 471 1.02
5  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
6  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.29% 775 1.38
7  Russian federationBISON elorank 8,635 7d 07:52:06h 4,818 1.30% 7,325 0.66
8  Russian federationSprut elorank 8,728 2d 01:10:55h 1,630 0.44% 2,123 0.77
9  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.34% 18,072 0.89
10  Russian federation⇜Ṧ†êrvå⇝ elorank 9,166 6d 06:36:16h 4,560 1.23% 5,942 0.77
11  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.36% 22,106 0.90
12  Russian federationYota ʚɞ elorank 9,620 2d 11:59:46h 1,459 0.39% 1,935 0.75
13  Russian federationShalfeYka elorank 9,828 1d 18:38:10h 1,566 0.42% 1,568 1.00
14  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.20% 5,021 0.89
15  Russian federationStanislav752 elorank 10,202 14d 11:33:59h 11,982 3.22% 11,376 1.05
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,227 3d 09:51:28h 3,247 0.87% 3,410 0.95
17  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.32% 15,929 1.48
18  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.73% 13,411 1.03
19  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.72% 15,207 1.15
20  Russian federationИлья190RUS elorank 12,472 3d 12:04:57h 3,702 1.00% 3,179 1.16


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 31,318 times 31,318
2 Pick up the Bomb 26,202 times 52,404
3 Round MVP 19,137 times 0
4 Drop the Bomb 14,210 times -28420
5 Double Kill (2 kills) 11,966 times 11,966
6 Plant the Bomb 5,892 times 58,920
7 Domination 3,790 times 18,950
8 Triple Kill (3 kills) 3,032 times 6,064
9 Revenge 1,816 times 5,448
10 Start Defusing the Bomb With a Defuse Kit 767 times 0
11 Defuse the Bomb 558 times 5,580
12 Domination (4 kills) 550 times 1,650
13 Start Defusing the Bomb Without a Defuse Kit 77 times 0
14 Rampage (5 kills) 58 times 232
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 2,950 times -14750
2 Revenge 2,227 times -6681




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,530 times 28.19%
2 Counter-Terrorist 2,640 times 21.08%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,348 6.28% 11,735 8.40% 0.50
2 Colt M4A1 Carbine 1.00 12,748 3.43% 5,730 4.10% 0.45
3 Desert Eagle .50AE 1.20 6,926 1.86% 3,759 2.69% 0.54
4 Steyr Scout 1.10 6,780 1.82% 4,091 2.93% 0.60
5 Arctic Warfare Magnum (Police) 1.00 3,061 0.82% 502 0.36% 0.16
6 High Explosive Grenade 1.80 2,823 0.76% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,164 0.58% 1,103 0.79% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,680 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,470 0.40% 649 0.46% 0.44
10 Sig Sauer P-228 1.50 1,239 0.33% 500 0.36% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,063 0.29% 475 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 830 0.22% 332 0.24% 0.40
13 Dual Beretta 96G Elite 1.40 183 0.05% 87 0.06% 0.48
14 H&K USP .45 Tactical 1.40 151 0.04% 74 0.05% 0.49
15 Galil 1.10 125 0.03% 52 0.04% 0.42
16 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
17 Glock 18 Select Fire 1.40 113 0.03% 53 0.04% 0.47
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 89 0.02% 42 0.03% 0.47
20 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 29 0.02% 0.36
21 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
22 Steyr Tactical Machine Pistol 1.50 57 0.02% 33 0.02% 0.58
23 Fusil Automatique 1.00 45 0.01% 21 0.02% 0.47
24 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
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 1,465 1,007 11,716 29 81 16.2000 68.7% 11.6 18.1
2 H&K USP .45 Tactical 5,863 1,050 21,503 73 150 7.8947 17.9% 20.5 39.1
3 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
4 Steyr Tactical Machine Pistol 4,093 487 8,783 33 57 57.0000 11.9% 18.0 71.8
5 Sig Sauer SG-552 Commando 76,760 5,393 157,772 488 1,079 38.5357 7.0% 29.3 71.1
6 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
7 Steyr Scout 54,760 16,695 1,593,834 4,147 6,885 2.5845 30.5% 95.5 8.0
8 FN P90 74,730 8,446 196,786 649 1,470 9.6711 11.3% 23.3 50.8
9 Sig Sauer P-228 30,546 5,020 155,881 500 1,239 25.2857 16.4% 31.1 24.7
10 H&K MP5-Navy 4,977 886 14,719 43 100 11.1111 17.8% 16.6 49.8
11 Ingram MAC-10 5,185 864 15,804 60 119 29.7500 16.7% 18.3 43.6
12 Colt M4A1 Carbine 445,330 56,154 1,781,015 5,734 12,752 10.7703 12.6% 31.7 34.9
13 Benelli M3 Super 90 Combat 3,680 7,452 106,709 332 830 2.3714 202.5% 14.3 4.4
14 M249 PARA Light Machine Gun 109,557 8,426 326,998 1,217 2,313 13.8503 7.7% 38.8 47.4
15 Bundeswehr Advanced Combat Knife 22,041 1,360 71,315 2 475 1.6784 6.2% 52.4 46.4
16 Glock 18 Select Fire 5,612 997 17,027 52 111 7.4000 17.8% 17.1 50.6
17 Galil 3,722 534 17,592 52 125 62.5000 14.3% 32.9 29.8
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 1,416 382 10,127 37 71 35.5000 27.0% 26.5 19.9
20 Fusil Automatique 1,129 211 6,476 20 43 43.0000 18.7% 30.7 26.3
21 Dual Beretta 96G Elite 4,685 900 25,481 87 183 61.0000 19.2% 28.3 25.6
22 Desert Eagle .50AE 75,534 20,045 1,053,916 4,083 7,307 4.5612 26.5% 52.6 10.3
23 Arctic Warfare Magnum (Police) 12,461 4,356 589,622 509 3,069 5.3654 35.0% 135.4 4.1
24 Steyr Aug 3,256 466 13,841 42 89 11.1250 14.3% 29.7 36.6
25 Kalashnikov AK-47 688,726 86,276 3,460,067 13,053 25,013 9.4424 12.5% 40.1 27.5




  Weapon Targets *

Rank Weapon sort-descending.gif Hits Left Middle Right
1 Benelli/H&K M4 Super 90 XM1014 1,007 27.3% 56.3% 16.4%
2 H&K USP .45 Tactical 1,050 24.4% 63.0% 12.7%
3 H&K UMP45 270 24.8% 55.2% 20.0%
4 Steyr Tactical Machine Pistol 487 25.5% 62.8% 11.7%
5 Sig Sauer SG-552 Commando 5,393 28.6% 56.3% 15.1%
6 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
7 Steyr Scout 16,670 26.5% 64.9% 8.6%
8 FN P90 8,446 28.1% 56.2% 15.7%
9 Sig Sauer P-228 5,020 29.2% 57.2% 13.6%
10 H&K MP5-Navy 886 28.6% 56.5% 14.9%
11 Ingram MAC-10 864 26.7% 58.9% 14.4%
12 Colt M4A1 Carbine 56,154 27.6% 59.4% 13.0%
13 Benelli M3 Super 90 Combat 7,452 29.1% 57.9% 13.0%
14 M249 PARA Light Machine Gun 8,426 27.7% 58.5% 13.8%
15 Bundeswehr Advanced Combat Knife 67 22.4% 71.6% 6.0%
16 Glock 18 Select Fire 997 26.5% 61.1% 12.4%
17 Galil 534 27.9% 55.4% 16.7%
18 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
19 FN Five-Seven 382 20.9% 65.4% 13.6%
20 Fusil Automatique 211 20.4% 64.5% 15.2%
21 Dual Beretta 96G Elite 900 24.7% 61.4% 13.9%
22 Desert Eagle .50AE 20,045 25.7% 62.2% 12.1%
23 Arctic Warfare Magnum (Police) 4,356 32.4% 57.7% 10.0%
24 Steyr Aug 466 28.3% 56.7% 15.0%
25 Kalashnikov AK-47 86,276 26.8% 59.7% 13.5%


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 / 372027 * 100, 2) AS kpercent,
			ROUND(headshots / 139747 * 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