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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 78.66%
Members: 30 active members (73 total)
Avg. Member Points: 11,579
Total Kills: 366,785
Total Deaths: 297,125
Avg. Kills: 12,226
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 392d 04:31:53h
Avg. Connection Time: 13d 01:45:03h
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 1.36% 11,872 0.42
3  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.61% 7,910 0.75
4  Russian federationzloy bober elorank 6,287 0d 17:49:51h 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 7,929 7d 00:53:17h 4,634 1.26% 7,046 0.66
8  Russian federationSprut elorank 8,442 1d 23:17:18h 1,568 0.43% 2,047 0.77
9  Russian federation⇜Ṧ†êrvå⇝ elorank 8,971 6d 00:52:09h 4,381 1.19% 5,729 0.76
10  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.40% 18,072 0.89
11  Russian federationShalfeYka elorank 9,274 1d 14:17:13h 1,386 0.38% 1,397 0.99
12  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.44% 22,106 0.90
13  Russian federationStanislav752 elorank 9,653 14d 00:21:59h 11,556 3.15% 10,991 1.05
14  Russian federationavpvovan elorank 9,783 5d 19:58:36h 4,434 1.21% 5,009 0.89
15  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,822 3d 06:39:50h 3,117 0.85% 3,278 0.95
16  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.41% 15,929 1.48
17  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.78% 13,411 1.03
18  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.78% 15,207 1.15
19  Russian federationИлья190RUS elorank 11,949 3d 07:27:28h 3,472 0.95% 3,010 1.15
20  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.85% 1,465 2.12


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 30,848 times 30,848
2 Pick up the Bomb 25,570 times 51,140
3 Round MVP 18,751 times 0
4 Drop the Bomb 13,654 times -27308
5 Double Kill (2 kills) 11,860 times 11,860
6 Plant the Bomb 5,853 times 58,530
7 Domination 3,834 times 19,170
8 Triple Kill (3 kills) 3,040 times 6,080
9 Revenge 1,755 times 5,265
10 Start Defusing the Bomb With a Defuse Kit 741 times 0
11 Domination (4 kills) 557 times 1,671
12 Defuse the Bomb 550 times 5,500
13 Start Defusing the Bomb Without a Defuse Kit 77 times 0
14 Rampage (5 kills) 63 times 252
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 2,845 times -14225
2 Revenge 2,250 times -6750




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,412 times 28.46%
2 Counter-Terrorist 2,509 times 20.93%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,839 6.50% 11,967 8.71% 0.50
2 Colt M4A1 Carbine 1.00 12,780 3.48% 5,740 4.18% 0.45
3 Desert Eagle .50AE 1.20 6,363 1.73% 3,454 2.51% 0.54
4 Steyr Scout 1.10 6,108 1.67% 3,741 2.72% 0.61
5 Arctic Warfare Magnum (Police) 1.00 3,012 0.82% 500 0.36% 0.17
6 High Explosive Grenade 1.80 2,682 0.73% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,118 0.58% 1,090 0.79% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,639 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,568 0.43% 669 0.49% 0.43
10 Sig Sauer P-228 1.50 1,153 0.31% 461 0.34% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,061 0.29% 474 0.35% 0.45
12 Benelli M3 Super 90 Combat 1.20 836 0.23% 330 0.24% 0.39
13 Dual Beretta 96G Elite 1.40 176 0.05% 82 0.06% 0.47
14 H&K USP .45 Tactical 1.40 142 0.04% 71 0.05% 0.50
15 Ingram MAC-10 1.50 126 0.03% 62 0.05% 0.49
16 Galil 1.10 111 0.03% 47 0.03% 0.42
17 H&K MP5-Navy 1.20 103 0.03% 44 0.03% 0.43
18 Glock 18 Select Fire 1.40 101 0.03% 49 0.04% 0.49
19 Steyr Aug 1.00 93 0.03% 44 0.03% 0.47
20 Benelli/H&K M4 Super 90 XM1014 1.10 79 0.02% 28 0.02% 0.35
21 Steyr Tactical Machine Pistol 1.50 68 0.02% 37 0.03% 0.54
22 FN Five-Seven 1.50 45 0.01% 23 0.02% 0.51
23 Fusil Automatique 1.00 37 0.01% 17 0.01% 0.46
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-47 690,706 87,850 3,525,007 13,284 25,503 9.4913 12.7% 40.1 27.1
2 Colt M4A1 Carbine 441,941 56,175 1,784,830 5,744 12,784 11.1359 12.7% 31.8 34.6
3 Desert Eagle .50AE 68,915 18,444 974,402 3,778 6,744 4.6639 26.8% 52.8 10.2
4 Steyr Scout 46,561 14,934 1,438,728 3,790 6,196 2.6077 32.1% 96.3 7.5
5 Arctic Warfare Magnum (Police) 12,167 4,300 583,171 507 3,020 5.2890 35.3% 135.6 4.0
6 M249 PARA Light Machine Gun 103,835 8,185 320,264 1,204 2,267 14.5321 7.9% 39.1 45.8
7 FN P90 77,656 8,865 205,390 669 1,568 9.8000 11.4% 23.2 49.5
8 Sig Sauer P-228 28,857 4,709 145,082 461 1,153 24.0208 16.3% 30.8 25.0
9 Sig Sauer SG-552 Commando 76,698 5,379 157,452 487 1,077 38.4643 7.0% 29.3 71.2
10 Benelli M3 Super 90 Combat 3,709 7,578 107,831 330 836 2.3954 204.3% 14.2 4.4
11 Bundeswehr Advanced Combat Knife 12,635 1,401 73,574 2 490 1.9368 11.1% 52.5 25.8
12 Dual Beretta 96G Elite 4,447 862 24,320 82 176 58.6667 19.4% 28.2 25.3
13 H&K USP .45 Tactical 5,550 997 20,495 70 141 7.4211 18.0% 20.6 39.4
14 Ingram MAC-10 5,281 891 16,344 61 123 24.6000 16.9% 18.3 42.9
15 Galil 3,159 471 15,599 47 111 55.5000 14.9% 33.1 28.5
16 H&K MP5-Navy 5,036 897 14,865 43 101 10.1000 17.8% 16.6 49.9
17 Glock 18 Select Fire 5,019 878 15,266 48 99 6.6000 17.5% 17.4 50.7
18 Steyr Aug 3,341 478 14,271 44 93 11.6250 14.3% 29.9 35.9
19 Benelli/H&K M4 Super 90 XM1014 1,451 979 11,467 28 79 13.1667 67.5% 11.7 18.4
20 Steyr Tactical Machine Pistol 4,124 573 10,292 37 68 68.0000 13.9% 18.0 60.6
21 FN Five-Seven 1,176 307 7,866 32 57 19.0000 26.1% 25.6 20.6
22 Fusil Automatique 893 169 5,234 16 35 35.0000 18.9% 31.0 25.5
23 H&K UMP45 2,087 276 5,507 16 34 17.0000 13.2% 20.0 61.4
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 Left Middle sort-descending.gif Right
1 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
2 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
3 Bundeswehr Advanced Combat Knife 64 17.2% 76.6% 6.3%
4 FN Five-Seven 307 21.2% 65.8% 13.0%
5 Steyr Scout 14,909 26.5% 65.2% 8.3%
6 Fusil Automatique 169 20.1% 64.5% 15.4%
7 Steyr Tactical Machine Pistol 573 25.3% 64.2% 10.5%
8 Desert Eagle .50AE 18,444 25.8% 62.3% 11.9%
9 H&K USP .45 Tactical 997 25.6% 62.2% 12.2%
10 Glock 18 Select Fire 878 26.2% 62.1% 11.7%
11 Dual Beretta 96G Elite 862 24.9% 61.3% 13.8%
12 Kalashnikov AK-47 87,850 26.8% 59.8% 13.4%
13 Colt M4A1 Carbine 56,175 27.6% 59.4% 13.0%
14 Ingram MAC-10 891 26.7% 59.1% 14.1%
15 M249 PARA Light Machine Gun 8,185 27.5% 58.9% 13.6%
16 Arctic Warfare Magnum (Police) 4,300 32.1% 58.5% 9.3%
17 Benelli M3 Super 90 Combat 7,578 29.0% 58.0% 13.0%
18 Sig Sauer P-228 4,709 29.2% 57.0% 13.8%
19 Galil 471 27.0% 56.7% 16.3%
20 Sig Sauer SG-552 Commando 5,379 28.6% 56.3% 15.2%
21 Steyr Aug 478 28.5% 56.3% 15.3%
22 H&K MP5-Navy 897 28.9% 56.2% 14.9%
23 Benelli/H&K M4 Super 90 XM1014 979 27.2% 56.1% 16.8%
24 FN P90 8,865 28.5% 56.0% 15.4%
25 H&K UMP45 276 26.4% 53.6% 19.9%


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 / 366785 * 100, 2) AS kpercent,
			ROUND(headshots / 137390 * 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