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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 79.51%
Members: 29 active members (74 total)
Avg. Member Points: 11,871
Total Kills: 369,228
Total Deaths: 298,984
Avg. Kills: 12,732
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 394d 09:41:01h
Avg. Connection Time: 13d 14:24:10h
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 1.35% 11,872 0.42
3  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.60% 7,910 0.75
4  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
5  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.29% 775 1.38
6  Russian federationBISON elorank 8,204 7d 05:58:21h 4,755 1.29% 7,245 0.66
7  Russian federationSprut elorank 8,623 2d 00:21:32h 1,604 0.43% 2,088 0.77
8  Russian federation⇜Ṧ†êrvå⇝ elorank 9,117 6d 06:19:49h 4,551 1.23% 5,928 0.77
9  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.37% 18,072 0.89
10  Russian federationShalfeYka elorank 9,407 1d 15:54:53h 1,429 0.39% 1,451 0.98
11  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.40% 22,106 0.90
12  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.21% 5,021 0.89
13  Russian federationStanislav752 elorank 9,912 14d 07:12:47h 11,813 3.20% 11,184 1.06
14  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,962 3d 07:47:20h 3,154 0.85% 3,318 0.95
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.37% 15,929 1.48
16  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.75% 13,411 1.03
17  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.75% 15,207 1.15
18  Russian federationИлья190RUS elorank 12,022 3d 09:54:51h 3,603 0.98% 3,106 1.16
19  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.84% 1,465 2.12
20  Russian federationKAZANTIP elorank 12,736 49d 20:24:08h 41,967 11.37% 38,555 1.09


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 30,456 times 30,456
2 Pick up the Bomb 25,182 times 50,364
3 Round MVP 18,531 times 0
4 Drop the Bomb 13,528 times -27056
5 Double Kill (2 kills) 11,616 times 11,616
6 Plant the Bomb 5,775 times 57,750
7 Domination 3,715 times 18,575
8 Triple Kill (3 kills) 2,962 times 5,924
9 Revenge 1,727 times 5,181
10 Start Defusing the Bomb With a Defuse Kit 738 times 0
11 Defuse the Bomb 543 times 5,430
12 Domination (4 kills) 540 times 1,620
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 2,814 times -14070
2 Revenge 2,177 times -6531




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,424 times 28.44%
2 Counter-Terrorist 2,510 times 20.85%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk sort-descending.gif
1 Steyr Scout 1.10 5,978 1.62% 3,689 2.66% 0.62
2 Steyr Tactical Machine Pistol 1.50 57 0.02% 33 0.02% 0.58
3 Desert Eagle .50AE 1.20 6,544 1.77% 3,627 2.62% 0.55
4 H&K USP .45 Tactical 1.40 136 0.04% 69 0.05% 0.51
5 M249 PARA Light Machine Gun 1.20 2,083 0.56% 1,062 0.77% 0.51
6 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
7 Kalashnikov AK-47 1.00 23,103 6.26% 11,619 8.38% 0.50
8 Glock 18 Select Fire 1.40 101 0.03% 48 0.03% 0.48
9 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
10 Fusil Automatique 1.00 45 0.01% 21 0.02% 0.47
11 Dual Beretta 96G Elite 1.40 179 0.05% 85 0.06% 0.47
12 Steyr Aug 1.00 89 0.02% 42 0.03% 0.47
13 FN Five-Seven 1.50 56 0.02% 26 0.02% 0.46
14 Sig Sauer SG-552 Commando 1.00 1,062 0.29% 475 0.34% 0.45
15 Colt M4A1 Carbine 1.00 12,548 3.40% 5,645 4.07% 0.45
16 FN P90 1.20 1,419 0.38% 628 0.45% 0.44
17 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
18 Galil 1.10 125 0.03% 52 0.04% 0.42
19 Sig Sauer P-228 1.50 1,181 0.32% 473 0.34% 0.40
20 Benelli M3 Super 90 Combat 1.20 814 0.22% 325 0.23% 0.40
21 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 29 0.02% 0.36
22 Arctic Warfare Magnum (Police) 1.00 2,907 0.79% 485 0.35% 0.17
23 Bundeswehr Advanced Combat Knife 2.00 1,628 0.44% 2 0.00% 0.00
24 High Explosive Grenade 1.80 2,712 0.73% 0 0.00% 0.00
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-47 675,877 85,254 3,423,501 12,937 24,768 9.4860 12.6% 40.2 27.3
2 Colt M4A1 Carbine 438,886 55,272 1,754,522 5,649 12,552 10.8769 12.6% 31.7 35.0
3 Desert Eagle .50AE 70,871 18,878 1,002,322 3,951 6,925 4.7237 26.6% 53.1 10.2
4 Steyr Scout 47,197 14,684 1,406,498 3,746 6,084 2.5714 31.1% 95.8 7.8
5 Arctic Warfare Magnum (Police) 11,862 4,166 563,594 492 2,915 5.2712 35.1% 135.3 4.1
6 M249 PARA Light Machine Gun 104,019 8,116 315,576 1,176 2,232 14.3077 7.8% 38.9 46.6
7 FN P90 72,733 8,169 190,551 628 1,419 9.3355 11.2% 23.3 51.3
8 Sig Sauer P-228 29,374 4,808 148,727 473 1,181 25.1277 16.4% 30.9 24.9
9 Sig Sauer SG-552 Commando 76,748 5,392 157,738 488 1,078 38.5000 7.0% 29.3 71.2
10 Benelli M3 Super 90 Combat 3,609 7,289 104,363 325 814 2.4154 202.0% 14.3 4.4
11 Bundeswehr Advanced Combat Knife 13,180 1,310 68,380 2 456 1.8689 9.9% 52.2 28.9
12 Dual Beretta 96G Elite 4,563 871 24,753 85 179 59.6667 19.1% 28.4 25.5
13 H&K USP .45 Tactical 5,366 947 19,617 68 135 7.5000 17.6% 20.7 39.7
14 Galil 3,722 534 17,592 52 125 62.5000 14.3% 32.9 29.8
15 Ingram MAC-10 5,185 864 15,804 60 119 29.7500 16.7% 18.3 43.6
16 H&K MP5-Navy 4,977 886 14,719 43 100 11.1111 17.8% 16.6 49.8
17 Glock 18 Select Fire 5,230 895 15,375 47 99 6.6000 17.1% 17.2 52.8
18 Steyr Aug 3,256 466 13,841 42 89 11.1250 14.3% 29.7 36.6
19 Benelli/H&K M4 Super 90 XM1014 1,465 1,007 11,716 29 81 16.2000 68.7% 11.6 18.1
20 FN Five-Seven 1,343 365 9,741 35 68 34.0000 27.2% 26.7 19.8
21 Steyr Tactical Machine Pistol 4,093 487 8,783 33 57 57.0000 11.9% 18.0 71.8
22 Fusil Automatique 1,086 204 6,283 20 43 43.0000 18.8% 30.8 25.3
23 H&K UMP45 2,045 267 5,399 16 33 16.5000 13.1% 20.2 62.0
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 85,254 26.7% 59.8% 13.5%
2 Colt M4A1 Carbine 55,272 27.7% 59.4% 13.0%
3 Desert Eagle .50AE 18,878 25.6% 62.6% 11.8%
4 Steyr Scout 14,659 26.4% 65.1% 8.4%
5 FN P90 8,169 28.1% 56.3% 15.5%
6 M249 PARA Light Machine Gun 8,116 27.8% 58.6% 13.6%
7 Benelli M3 Super 90 Combat 7,289 28.9% 58.0% 13.1%
8 Sig Sauer SG-552 Commando 5,392 28.6% 56.3% 15.2%
9 Sig Sauer P-228 4,808 29.2% 57.2% 13.6%
10 Arctic Warfare Magnum (Police) 4,166 32.4% 57.9% 9.7%
11 Benelli/H&K M4 Super 90 XM1014 1,007 27.3% 56.3% 16.4%
12 H&K USP .45 Tactical 947 24.9% 62.7% 12.4%
13 Glock 18 Select Fire 895 26.7% 61.7% 11.6%
14 H&K MP5-Navy 886 28.6% 56.5% 14.9%
15 Dual Beretta 96G Elite 871 24.5% 61.7% 13.9%
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 487 25.5% 62.8% 11.7%
19 Steyr Aug 466 28.3% 56.7% 15.0%
20 FN Five-Seven 365 21.1% 64.9% 14.0%
21 H&K UMP45 267 25.1% 55.1% 19.9%
22 Fusil Automatique 204 19.1% 66.2% 14.7%
23 Bundeswehr Advanced Combat Knife 57 17.5% 75.4% 7.0%
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 / 369228 * 100, 2) AS kpercent,
			ROUND(headshots / 138584 * 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