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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 77.16%
Members: 30 active members (75 total)
Avg. Member Points: 11,737
Total Kills: 374,864
Total Deaths: 312,028
Avg. Kills: 12,495
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 408d 15:54:45h
Avg. Connection Time: 13d 14:55:49h
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 federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.47% 14,654 0.63
2  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.33% 11,872 0.42
3  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.58% 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 0.28% 775 1.38
7  Russian federationSprut elorank 8,778 2d 01:57:43h 1,646 0.44% 2,153 0.76
8  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.31% 18,072 0.89
9  Russian federation⇜Ṧ†êrvå⇝ elorank 9,352 6d 10:30:50h 4,688 1.25% 6,105 0.77
10  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.32% 22,106 0.90
11  Russian federationYota ʚɞ elorank 9,712 2d 12:31:40h 1,472 0.39% 1,952 0.75
12  Russian federationBISON elorank 9,774 7d 19:10:20h 5,144 1.37% 7,757 0.66
13  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.19% 5,021 0.89
14  Russian federationShalfeYka elorank 9,965 1d 21:28:34h 1,645 0.44% 1,663 0.99
15  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,227 3d 09:51:28h 3,247 0.87% 3,410 0.95
16  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.27% 15,929 1.48
17  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.70% 13,411 1.03
18  Russian federationStanislav752 elorank 10,874 15d 03:18:13h 12,560 3.35% 11,886 1.06
19  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.68% 15,207 1.15
20  Russian federationИлья190RUS elorank 12,528 3d 16:10:37h 3,856 1.03% 3,327 1.16


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Mega Kill (6 kills) 4 times 20
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 51 times 204
6 Start Defusing the Bomb Without a Defuse Kit 71 times 0
7 Domination (4 kills) 496 times 1,488
8 Defuse the Bomb 535 times 5,350
9 Start Defusing the Bomb With a Defuse Kit 736 times 0
10 Revenge 1,764 times 5,292
11 Triple Kill (3 kills) 2,780 times 5,560
12 Domination 3,558 times 17,790
13 Plant the Bomb 5,322 times 53,220
14 Double Kill (2 kills) 11,367 times 11,367
15 Drop the Bomb 13,542 times -27084
16 Round MVP 18,159 times 0
17 Pick up the Bomb 24,677 times 49,354
18 Headshot 29,753 times 29,753




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-descending.gif
1 Revenge 2,116 times -6348
2 Domination 2,848 times -14240




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,355 times 27.89%
2 Counter-Terrorist 2,579 times 21.44%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 21,323 5.69% 10,713 7.65% 0.50
2 Colt M4A1 Carbine 1.00 12,262 3.27% 5,518 3.94% 0.45
3 Desert Eagle .50AE 1.20 6,725 1.79% 3,670 2.62% 0.55
4 Steyr Scout 1.10 6,537 1.74% 3,969 2.83% 0.61
5 Arctic Warfare Magnum (Police) 1.00 2,757 0.74% 451 0.32% 0.16
6 High Explosive Grenade 1.80 2,660 0.71% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,084 0.56% 1,036 0.74% 0.50
8 Bundeswehr Advanced Combat Knife 2.00 1,671 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,468 0.39% 652 0.47% 0.44
10 Sig Sauer P-228 1.50 1,262 0.34% 526 0.38% 0.42
11 Sig Sauer SG-552 Commando 1.00 1,008 0.27% 450 0.32% 0.45
12 Benelli M3 Super 90 Combat 1.20 790 0.21% 318 0.23% 0.40
13 Dual Beretta 96G Elite 1.40 222 0.06% 101 0.07% 0.45
14 H&K USP .45 Tactical 1.40 148 0.04% 73 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 1.40 114 0.03% 54 0.04% 0.47
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 86 0.02% 41 0.03% 0.48
20 Benelli/H&K M4 Super 90 XM1014 1.10 80 0.02% 29 0.02% 0.36
21 Steyr Tactical Machine Pistol 1.50 59 0.02% 31 0.02% 0.53
22 FN Five-Seven 1.50 58 0.02% 28 0.02% 0.48
23 Fusil Automatique 1.00 40 0.01% 18 0.01% 0.45
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 Shots Hits Damage Headshots Kills sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 641,226 79,489 3,182,556 12,032 22,989 9.4102 12.4% 40.0 27.9
2 Colt M4A1 Carbine 434,913 54,342 1,719,492 5,522 12,266 10.6940 12.5% 31.6 35.5
3 Desert Eagle .50AE 74,675 19,610 1,027,339 3,994 7,106 4.5032 26.3% 52.4 10.5
4 Steyr Scout 53,804 16,034 1,532,092 4,025 6,642 2.5429 29.8% 95.6 8.1
5 Arctic Warfare Magnum (Police) 11,450 3,961 533,101 458 2,765 5.3173 34.6% 134.6 4.1
6 M249 PARA Light Machine Gun 109,380 8,243 315,429 1,150 2,233 13.7840 7.5% 38.3 49.0
7 FN P90 74,063 8,376 195,651 652 1,468 9.9189 11.3% 23.4 50.5
8 Sig Sauer P-228 32,017 5,138 159,973 526 1,262 22.9455 16.0% 31.1 25.4
9 Sig Sauer SG-552 Commando 75,188 5,163 150,019 463 1,024 39.3846 6.9% 29.1 73.4
10 Benelli M3 Super 90 Combat 3,488 7,131 101,666 318 790 2.3235 204.4% 14.3 4.4
11 Bundeswehr Advanced Combat Knife 21,565 1,309 67,767 2 448 1.5610 6.1% 51.8 48.1
12 Dual Beretta 96G Elite 5,481 1,099 30,508 101 222 74.0000 20.1% 27.8 24.7
13 H&K USP .45 Tactical 5,647 1,007 20,954 72 147 10.5000 17.8% 20.8 38.4
14 Galil 3,713 534 17,592 52 125 62.5000 14.4% 32.9 29.7
15 Ingram MAC-10 5,114 864 15,804 60 119 29.7500 16.9% 18.3 43.0
16 Glock 18 Select Fire 5,448 985 17,083 53 112 7.4667 18.1% 17.3 48.6
17 H&K MP5-Navy 4,887 886 14,719 43 100 11.1111 18.1% 16.6 48.9
18 Steyr Aug 3,150 449 13,317 41 86 12.2857 14.3% 29.7 36.6
19 Benelli/H&K M4 Super 90 XM1014 1,418 976 11,452 29 80 16.0000 68.8% 11.7 17.7
20 FN Five-Seven 1,383 381 10,110 37 70 35.0000 27.5% 26.5 19.8
21 Steyr Tactical Machine Pistol 3,871 492 8,827 31 59 59.0000 12.7% 17.9 65.6
22 Fusil Automatique 1,081 192 5,897 17 38 38.0000 17.8% 30.7 28.4
23 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
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 79,489 26.6% 59.8% 13.5%
2 Colt M4A1 Carbine 54,342 27.7% 59.3% 13.0%
3 Desert Eagle .50AE 19,610 25.8% 62.0% 12.1%
4 Steyr Scout 16,009 26.3% 65.0% 8.7%
5 FN P90 8,376 28.1% 56.4% 15.5%
6 M249 PARA Light Machine Gun 8,243 28.0% 57.9% 14.1%
7 Benelli M3 Super 90 Combat 7,131 29.1% 57.9% 13.0%
8 Sig Sauer SG-552 Commando 5,163 28.8% 56.1% 15.1%
9 Sig Sauer P-228 5,138 29.1% 57.1% 13.8%
10 Arctic Warfare Magnum (Police) 3,961 32.4% 57.6% 10.0%
11 Dual Beretta 96G Elite 1,099 24.9% 61.5% 13.6%
12 H&K USP .45 Tactical 1,007 24.3% 62.9% 12.8%
13 Glock 18 Select Fire 985 26.1% 61.5% 12.4%
14 Benelli/H&K M4 Super 90 XM1014 976 27.5% 56.0% 16.5%
15 H&K MP5-Navy 886 28.6% 56.5% 14.9%
16 Ingram MAC-10 864 26.7% 58.9% 14.4%
17 Galil 534 27.9% 55.4% 16.7%
18 Steyr Tactical Machine Pistol 492 25.4% 63.0% 11.6%
19 Steyr Aug 449 28.3% 56.8% 14.9%
20 FN Five-Seven 381 21.0% 65.6% 13.4%
21 H&K UMP45 270 24.8% 55.2% 20.0%
22 Fusil Automatique 192 20.3% 64.1% 15.6%
23 Bundeswehr Advanced Combat Knife 63 22.2% 73.0% 4.8%
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 / 374864 * 100, 2) AS kpercent,
			ROUND(headshots / 140005 * 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