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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 80.96%
Members: 31 active members (74 total)
Avg. Member Points: 11,416
Total Kills: 366,869
Total Deaths: 297,670
Avg. Kills: 11,834
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 392d 23:48:21h
Avg. Connection Time: 12d 16:15:06h
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-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,390 46d 13:13:09h 68,524 18.68% 31,203 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.94% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.79% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.87% 16,883 1.93
5  Ukrainegusenica elorank 14,861 6d 10:31:50h 6,526 1.78% 5,128 1.27
6  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.24% 12,150 1.58
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.15% 10,412 1.11
8  Russian federationубивашка 62 elorank 13,149 3d 11:03:15h 4,008 1.09% 2,921 1.37
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.17% 3,263 1.31
10  Russian federationKAZANTIP elorank 12,812 49d 19:52:15h 41,958 11.44% 38,533 1.09
11  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.85% 1,465 2.12
12  Russian federationAnapskiy elorank 11,990 19d 04:38:57h 17,523 4.78% 15,181 1.15
13  Russian federationИлья190RUS elorank 11,855 3d 07:08:25h 3,457 0.94% 2,995 1.15
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.78% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.41% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,000 3d 05:05:16h 3,064 0.84% 3,201 0.96
17  Russian federationavpvovan elorank 9,819 5d 19:44:18h 4,430 1.21% 4,998 0.89
18  Russian federationStanislav752 elorank 9,774 13d 22:31:56h 11,503 3.14% 10,922 1.05
19  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.43% 22,106 0.90
20  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.40% 18,072 0.89


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 25,968 times 51,936
3 Round MVP 19,036 times 0
4 Drop the Bomb 13,876 times -27752
5 Double Kill (2 kills) 12,105 times 12,105
6 Plant the Bomb 5,875 times 58,750
7 Domination 3,903 times 19,515
8 Triple Kill (3 kills) 3,110 times 6,220
9 Revenge 1,790 times 5,370
10 Start Defusing the Bomb With a Defuse Kit 772 times 0
11 Defuse the Bomb 565 times 5,650
12 Domination (4 kills) 562 times 1,686
13 Start Defusing the Bomb Without a Defuse Kit 76 times 0
14 Rampage (5 kills) 64 times 256
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 sort-descending.gif Times Victimized Points Bonus
1 Revenge 2,292 times -6876
2 Domination 2,910 times -14550




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,469 times 28.28%
2 Counter-Terrorist 2,578 times 21.02%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-ascending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
3 Fusil Automatique 1.00 37 0.01% 17 0.01% 0.46
4 FN Five-Seven 1.50 52 0.01% 25 0.02% 0.48
5 Galil 1.10 72 0.02% 28 0.02% 0.39
6 Benelli/H&K M4 Super 90 XM1014 1.10 79 0.02% 28 0.02% 0.35
7 Steyr Tactical Machine Pistol 1.50 83 0.02% 43 0.03% 0.52
8 Steyr Aug 1.00 98 0.03% 46 0.03% 0.47
9 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
10 Glock 18 Select Fire 1.40 110 0.03% 50 0.04% 0.45
11 Ingram MAC-10 1.50 127 0.03% 63 0.05% 0.50
12 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
13 Dual Beretta 96G Elite 1.40 174 0.05% 81 0.06% 0.47
14 Benelli M3 Super 90 Combat 1.20 854 0.23% 338 0.25% 0.40
15 Sig Sauer SG-552 Commando 1.00 1,067 0.29% 475 0.35% 0.45
16 Sig Sauer P-228 1.50 1,154 0.31% 460 0.34% 0.40
17 FN P90 1.20 1,600 0.44% 690 0.50% 0.43
18 Bundeswehr Advanced Combat Knife 2.00 1,665 0.45% 2 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 2,218 0.60% 1,142 0.83% 0.51
20 High Explosive Grenade 1.80 2,722 0.74% 0 0.00% 0.00
21 Arctic Warfare Magnum (Police) 1.00 3,202 0.87% 530 0.39% 0.17
22 Desert Eagle .50AE 1.20 6,444 1.76% 3,439 2.51% 0.53
23 Steyr Scout 1.10 6,595 1.80% 3,977 2.90% 0.60
24 Colt M4A1 Carbine 1.00 12,881 3.51% 5,790 4.22% 0.45
25 Kalashnikov AK-47 1.00 24,149 6.58% 12,061 8.79% 0.50




  Weapon Stats *

Rank Weapon Shots Hits sort-ascending.gif Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
3 Fusil Automatique 936 176 5,427 16 35 35.0000 18.8% 30.8 26.7
4 H&K UMP45 2,094 279 5,557 16 35 17.5000 13.3% 19.9 59.8
5 Galil 2,636 320 9,881 28 72 72.0000 12.1% 30.9 36.6
6 FN Five-Seven 1,285 336 8,563 34 64 21.3333 26.1% 25.5 20.1
7 Steyr Aug 3,412 499 14,871 46 98 12.2500 14.6% 29.8 34.8
8 Steyr Tactical Machine Pistol 4,407 658 11,841 43 83 83.0000 14.9% 18.0 53.1
9 Dual Beretta 96G Elite 4,405 848 23,987 81 174 58.0000 19.3% 28.3 25.3
10 H&K MP5-Navy 5,002 888 14,709 43 100 10.0000 17.8% 16.6 50.0
11 Ingram MAC-10 5,362 908 16,632 62 124 24.8000 16.9% 18.3 43.2
12 Glock 18 Select Fire 5,223 956 16,385 49 108 7.2000 18.3% 17.1 48.4
13 Benelli/H&K M4 Super 90 XM1014 1,448 974 11,415 28 79 13.1667 67.3% 11.7 18.3
14 H&K USP .45 Tactical 5,689 1,034 21,272 72 147 7.3500 18.2% 20.6 38.7
15 Bundeswehr Advanced Combat Knife 19,651 1,445 76,081 2 505 1.8231 7.4% 52.7 38.9
16 Arctic Warfare Magnum (Police) 12,961 4,559 618,935 537 3,210 5.3769 35.2% 135.8 4.0
17 Sig Sauer P-228 28,807 4,732 145,604 460 1,154 23.5510 16.4% 30.8 25.0
18 Sig Sauer SG-552 Commando 76,952 5,412 158,225 488 1,083 38.6786 7.0% 29.2 71.1
19 Benelli M3 Super 90 Combat 3,800 7,728 110,344 338 854 2.3855 203.4% 14.3 4.4
20 M249 PARA Light Machine Gun 106,121 8,528 334,130 1,256 2,367 15.2710 8.0% 39.2 44.8
21 FN P90 78,386 9,050 209,855 690 1,600 10.0000 11.5% 23.2 49.0
22 Steyr Scout 50,934 16,203 1,553,224 4,026 6,683 2.6208 31.8% 95.9 7.6
23 Desert Eagle .50AE 70,306 18,729 984,604 3,763 6,824 4.5585 26.6% 52.6 10.3
24 Colt M4A1 Carbine 444,392 56,661 1,799,491 5,794 12,885 11.0317 12.8% 31.8 34.5
25 Kalashnikov AK-47 690,844 88,892 3,564,425 13,378 25,813 9.4727 12.9% 40.1 26.8




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle 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 65 16.9% 76.9% 6.2%
4 Fusil Automatique 176 21.6% 62.5% 15.9%
5 H&K UMP45 279 26.2% 53.8% 20.1%
6 Galil 320 30.0% 51.9% 18.1%
7 FN Five-Seven 336 21.7% 64.9% 13.4%
8 Steyr Aug 499 27.9% 56.5% 15.6%
9 Steyr Tactical Machine Pistol 658 24.5% 64.9% 10.6%
10 Dual Beretta 96G Elite 848 24.8% 61.4% 13.8%
11 H&K MP5-Navy 888 29.2% 56.1% 14.8%
12 Ingram MAC-10 908 26.7% 59.0% 14.3%
13 Glock 18 Select Fire 956 26.0% 61.4% 12.6%
14 Benelli/H&K M4 Super 90 XM1014 974 27.0% 56.2% 16.8%
15 H&K USP .45 Tactical 1,034 25.6% 61.9% 12.5%
16 Arctic Warfare Magnum (Police) 4,559 32.2% 58.4% 9.5%
17 Sig Sauer P-228 4,732 29.2% 57.0% 13.8%
18 Sig Sauer SG-552 Commando 5,412 28.5% 56.3% 15.2%
19 Benelli M3 Super 90 Combat 7,728 29.1% 57.8% 13.1%
20 M249 PARA Light Machine Gun 8,528 27.4% 59.0% 13.6%
21 FN P90 9,050 28.5% 56.1% 15.5%
22 Steyr Scout 16,178 26.4% 65.1% 8.5%
23 Desert Eagle .50AE 18,729 25.9% 62.0% 12.2%
24 Colt M4A1 Carbine 56,661 27.6% 59.4% 13.0%
25 Kalashnikov AK-47 88,892 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 / 366869 * 100, 2) AS kpercent,
			ROUND(headshots / 137265 * 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