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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: 11,418
Total Kills: 366,875
Total Deaths: 297,671
Avg. Kills: 11,835
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 392d 23:57:07h
Avg. Connection Time: 12d 16:15:23h
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 13,219 3d 11:12:01h 4,014 1.09% 2,922 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 sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 3,110 times 6,220
2 Touch a Hostage 4 times 0
3 Start Defusing the Bomb Without a Defuse Kit 76 times 0
4 Start Defusing the Bomb With a Defuse Kit 772 times 0
5 Round MVP 19,040 times 0
6 Revenge 1,790 times 5,370
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 64 times 256
9 Plant the Bomb 5,878 times 58,780
10 Pick up the Bomb 25,971 times 51,942
11 Mega Kill (6 kills) 4 times 20
12 Kill a Hostage 18 times -270
13 Headshot 31,321 times 31,321
14 Drop the Bomb 13,876 times -27752
15 Double Kill (2 kills) 12,105 times 12,105
16 Domination (4 kills) 562 times 1,686
17 Domination 3,904 times 19,520
18 Defuse the Bomb 565 times 5,650




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,910 times -14550
2 Revenge 2,293 times -6879




  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-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 24,152 6.58% 12,063 8.79% 0.50
2 Colt M4A1 Carbine 1.00 12,881 3.51% 5,790 4.22% 0.45
3 Steyr Scout 1.10 6,595 1.80% 3,977 2.90% 0.60
4 Desert Eagle .50AE 1.20 6,445 1.76% 3,440 2.51% 0.53
5 Arctic Warfare Magnum (Police) 1.00 3,202 0.87% 530 0.39% 0.17
6 High Explosive Grenade 1.80 2,723 0.74% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,218 0.60% 1,142 0.83% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,665 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,600 0.44% 690 0.50% 0.43
10 Sig Sauer P-228 1.50 1,154 0.31% 460 0.34% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,067 0.29% 475 0.35% 0.45
12 Benelli M3 Super 90 Combat 1.20 854 0.23% 338 0.25% 0.40
13 Dual Beretta 96G Elite 1.40 174 0.05% 81 0.06% 0.47
14 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
15 Ingram MAC-10 1.50 127 0.03% 63 0.05% 0.50
16 Glock 18 Select Fire 1.40 110 0.03% 50 0.04% 0.45
17 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
18 Steyr Aug 1.00 98 0.03% 46 0.03% 0.47
19 Steyr Tactical Machine Pistol 1.50 83 0.02% 43 0.03% 0.52
20 Benelli/H&K M4 Super 90 XM1014 1.10 79 0.02% 28 0.02% 0.35
21 Galil 1.10 72 0.02% 28 0.02% 0.39
22 FN Five-Seven 1.50 52 0.01% 25 0.02% 0.48
23 Fusil Automatique 1.00 37 0.01% 17 0.01% 0.46
24 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon Shots Hits Damage sort-descending.gif Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 690,900 88,902 3,564,940 13,380 25,816 9.4703 12.9% 40.1 26.8
2 Colt M4A1 Carbine 444,392 56,661 1,799,491 5,794 12,885 11.0317 12.8% 31.8 34.5
3 Steyr Scout 50,934 16,203 1,553,224 4,026 6,683 2.6208 31.8% 95.9 7.6
4 Desert Eagle .50AE 70,311 18,730 984,790 3,764 6,825 4.5591 26.6% 52.6 10.3
5 Arctic Warfare Magnum (Police) 12,961 4,559 618,935 537 3,210 5.3769 35.2% 135.8 4.0
6 M249 PARA Light Machine Gun 106,121 8,528 334,130 1,256 2,367 15.2710 8.0% 39.2 44.8
7 FN P90 78,386 9,050 209,855 690 1,600 10.0000 11.5% 23.2 49.0
8 Sig Sauer SG-552 Commando 76,952 5,412 158,225 488 1,083 38.6786 7.0% 29.2 71.1
9 Sig Sauer P-228 28,807 4,732 145,604 460 1,154 23.5510 16.4% 30.8 25.0
10 Benelli M3 Super 90 Combat 3,800 7,728 110,344 338 854 2.3855 203.4% 14.3 4.4
11 Bundeswehr Advanced Combat Knife 19,651 1,445 76,081 2 505 1.8231 7.4% 52.7 38.9
12 Dual Beretta 96G Elite 4,405 848 23,987 81 174 58.0000 19.3% 28.3 25.3
13 H&K USP .45 Tactical 5,689 1,034 21,272 72 147 7.3500 18.2% 20.6 38.7
14 Ingram MAC-10 5,362 908 16,632 62 124 24.8000 16.9% 18.3 43.2
15 Glock 18 Select Fire 5,223 956 16,385 49 108 7.2000 18.3% 17.1 48.4
16 Steyr Aug 3,412 499 14,871 46 98 12.2500 14.6% 29.8 34.8
17 H&K MP5-Navy 5,002 888 14,709 43 100 10.0000 17.8% 16.6 50.0
18 Steyr Tactical Machine Pistol 4,407 658 11,841 43 83 83.0000 14.9% 18.0 53.1
19 Benelli/H&K M4 Super 90 XM1014 1,448 974 11,415 28 79 13.1667 67.3% 11.7 18.3
20 Galil 2,636 320 9,881 28 72 72.0000 12.1% 30.9 36.6
21 FN Five-Seven 1,285 336 8,563 34 64 21.3333 26.1% 25.5 20.1
22 H&K UMP45 2,094 279 5,557 16 35 17.5000 13.3% 19.9 59.8
23 Fusil Automatique 936 176 5,427 16 35 35.0000 18.8% 30.8 26.7
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 88,902 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 56,661 27.6% 59.4% 13.0%
3 Desert Eagle .50AE 18,730 25.9% 62.0% 12.2%
4 Steyr Scout 16,178 26.4% 65.1% 8.5%
5 FN P90 9,050 28.5% 56.1% 15.5%
6 M249 PARA Light Machine Gun 8,528 27.4% 59.0% 13.6%
7 Benelli M3 Super 90 Combat 7,728 29.1% 57.8% 13.1%
8 Sig Sauer SG-552 Commando 5,412 28.5% 56.3% 15.2%
9 Sig Sauer P-228 4,732 29.2% 57.0% 13.8%
10 Arctic Warfare Magnum (Police) 4,559 32.2% 58.4% 9.5%
11 H&K USP .45 Tactical 1,034 25.6% 61.9% 12.5%
12 Benelli/H&K M4 Super 90 XM1014 974 27.0% 56.2% 16.8%
13 Glock 18 Select Fire 956 26.0% 61.4% 12.6%
14 Ingram MAC-10 908 26.7% 59.0% 14.3%
15 H&K MP5-Navy 888 29.2% 56.1% 14.8%
16 Dual Beretta 96G Elite 848 24.8% 61.4% 13.8%
17 Steyr Tactical Machine Pistol 658 24.5% 64.9% 10.6%
18 Steyr Aug 499 27.9% 56.5% 15.6%
19 FN Five-Seven 336 21.7% 64.9% 13.4%
20 Galil 320 30.0% 51.9% 18.1%
21 H&K UMP45 279 26.2% 53.8% 20.1%
22 Fusil Automatique 176 21.6% 62.5% 15.9%
23 Bundeswehr Advanced Combat Knife 65 16.9% 76.9% 6.2%
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 / 366875 * 100, 2) AS kpercent,
			ROUND(headshots / 137269 * 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