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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 79.93%
Members: 31 active members (75 total)
Avg. Member Points: 11,694
Total Kills: 372,027
Total Deaths: 302,244
Avg. Kills: 12,001
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 398d 12:12:16h
Avg. Connection Time: 12d 20:31:21h
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 33,844 46d 17:13:18h 68,741 18.48% 31,298 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.90% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.70% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.75% 16,883 1.93
5  Ukrainegusenica elorank 16,451 8d 05:36:29h 8,305 2.23% 6,548 1.27
6  Russian federationубивашка 62 elorank 15,361 4d 04:10:06h 4,883 1.31% 3,479 1.40
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.11% 10,412 1.11
8  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.17% 12,180 1.58
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.15% 3,263 1.31
10  Russian federationKAZANTIP elorank 12,736 49d 20:24:08h 41,967 11.28% 38,555 1.09
11  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.84% 1,465 2.12
12  Russian federationИлья190RUS elorank 12,472 3d 12:04:57h 3,702 1.00% 3,179 1.16
13  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.72% 15,207 1.15
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.73% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.32% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,227 3d 09:51:28h 3,247 0.87% 3,410 0.95
17  Russian federationStanislav752 elorank 10,202 14d 11:33:59h 11,982 3.22% 11,376 1.05
18  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.20% 5,021 0.89
19  Russian federationShalfeYka elorank 9,828 1d 18:38:10h 1,566 0.42% 1,568 1.00
20  Russian federationYota ʚɞ elorank 9,620 2d 11:59:46h 1,459 0.39% 1,935 0.75


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 31,102 times 31,102
2 Pick up the Bomb 26,067 times 52,134
3 Round MVP 19,041 times 0
4 Drop the Bomb 14,099 times -28198
5 Double Kill (2 kills) 11,888 times 11,888
6 Plant the Bomb 5,877 times 58,770
7 Domination 3,761 times 18,805
8 Triple Kill (3 kills) 3,002 times 6,004
9 Revenge 1,806 times 5,418
10 Start Defusing the Bomb With a Defuse Kit 761 times 0
11 Defuse the Bomb 553 times 5,530
12 Domination (4 kills) 542 times 1,626
13 Start Defusing the Bomb Without a Defuse Kit 77 times 0
14 Rampage (5 kills) 56 times 224
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 2,216 times -6648
2 Domination 2,929 times -14645




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,496 times 28.19%
2 Counter-Terrorist 2,615 times 21.09%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,121 6.21% 11,622 8.32% 0.50
2 Colt M4A1 Carbine 1.00 12,648 3.40% 5,693 4.07% 0.45
3 Desert Eagle .50AE 1.20 6,900 1.85% 3,749 2.68% 0.54
4 Steyr Scout 1.10 6,764 1.82% 4,083 2.92% 0.60
5 Arctic Warfare Magnum (Police) 1.00 3,043 0.82% 498 0.36% 0.16
6 High Explosive Grenade 1.80 2,788 0.75% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,100 0.56% 1,060 0.76% 0.50
8 Bundeswehr Advanced Combat Knife 2.00 1,673 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,463 0.39% 648 0.46% 0.44
10 Sig Sauer P-228 1.50 1,230 0.33% 500 0.36% 0.41
11 Sig Sauer SG-552 Commando 1.00 1,063 0.29% 475 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 829 0.22% 332 0.24% 0.40
13 Dual Beretta 96G Elite 1.40 183 0.05% 87 0.06% 0.48
14 H&K USP .45 Tactical 1.40 151 0.04% 74 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 1.40 113 0.03% 53 0.04% 0.47
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 89 0.02% 42 0.03% 0.47
20 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 29 0.02% 0.36
21 FN Five-Seven 1.50 58 0.02% 28 0.02% 0.48
22 Steyr Tactical Machine Pistol 1.50 57 0.02% 33 0.02% 0.58
23 Fusil Automatique 1.00 45 0.01% 21 0.02% 0.47
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 sort-descending.gif Shots Hits Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Benelli/H&K M4 Super 90 XM1014 1,463 1,007 11,716 29 81 16.2000 68.8% 11.6 18.1
2 H&K USP .45 Tactical 5,848 1,049 21,492 73 150 7.8947 17.9% 20.5 39.0
3 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
4 Steyr Tactical Machine Pistol 4,093 487 8,783 33 57 57.0000 11.9% 18.0 71.8
5 Sig Sauer SG-552 Commando 76,760 5,393 157,772 488 1,079 38.5357 7.0% 29.3 71.1
6 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
7 Steyr Scout 54,657 16,646 1,589,917 4,139 6,869 2.5843 30.5% 95.5 8.0
8 FN P90 74,518 8,399 195,806 648 1,463 9.6250 11.3% 23.3 50.9
9 Sig Sauer P-228 30,350 4,990 155,160 500 1,230 25.1020 16.4% 31.1 24.7
10 H&K MP5-Navy 4,977 886 14,719 43 100 11.1111 17.8% 16.6 49.8
11 Ingram MAC-10 5,185 864 15,804 60 119 29.7500 16.7% 18.3 43.6
12 Colt M4A1 Carbine 443,137 55,765 1,768,635 5,697 12,652 10.7494 12.6% 31.7 35.0
13 Benelli M3 Super 90 Combat 3,676 7,438 106,529 332 829 2.3754 202.3% 14.3 4.4
14 M249 PARA Light Machine Gun 108,165 8,240 317,865 1,174 2,249 14.1447 7.6% 38.6 48.1
15 Bundeswehr Advanced Combat Knife 21,872 1,352 70,633 2 471 1.6821 6.2% 52.2 46.4
16 Glock 18 Select Fire 5,554 993 16,959 52 111 7.4000 17.9% 17.1 50.0
17 Galil 3,722 534 17,592 52 125 62.5000 14.3% 32.9 29.8
18 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
19 FN Five-Seven 1,394 381 10,110 37 70 35.0000 27.3% 26.5 19.9
20 Fusil Automatique 1,129 211 6,476 20 43 43.0000 18.7% 30.7 26.3
21 Dual Beretta 96G Elite 4,685 900 25,481 87 183 61.0000 19.2% 28.3 25.6
22 Desert Eagle .50AE 75,344 19,980 1,050,737 4,073 7,281 4.5535 26.5% 52.6 10.3
23 Arctic Warfare Magnum (Police) 12,399 4,331 585,588 505 3,051 5.3620 34.9% 135.2 4.1
24 Steyr Aug 3,256 466 13,841 42 89 11.1250 14.3% 29.7 36.6
25 Kalashnikov AK-47 674,664 85,267 3,426,630 12,940 24,786 9.5038 12.6% 40.2 27.2




  Weapon Targets *

Rank Weapon sort-descending.gif Hits Left Middle Right
1 Benelli/H&K M4 Super 90 XM1014 1,007 27.3% 56.3% 16.4%
2 H&K USP .45 Tactical 1,049 24.4% 62.9% 12.7%
3 H&K UMP45 270 24.8% 55.2% 20.0%
4 Steyr Tactical Machine Pistol 487 25.5% 62.8% 11.7%
5 Sig Sauer SG-552 Commando 5,393 28.6% 56.3% 15.1%
6 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
7 Steyr Scout 16,621 26.4% 64.9% 8.6%
8 FN P90 8,399 28.1% 56.2% 15.7%
9 Sig Sauer P-228 4,990 29.2% 57.2% 13.6%
10 H&K MP5-Navy 886 28.6% 56.5% 14.9%
11 Ingram MAC-10 864 26.7% 58.9% 14.4%
12 Colt M4A1 Carbine 55,765 27.6% 59.3% 13.0%
13 Benelli M3 Super 90 Combat 7,438 29.1% 57.9% 13.0%
14 M249 PARA Light Machine Gun 8,240 27.9% 58.2% 13.9%
15 Bundeswehr Advanced Combat Knife 67 22.4% 71.6% 6.0%
16 Glock 18 Select Fire 993 26.6% 61.0% 12.4%
17 Galil 534 27.9% 55.4% 16.7%
18 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
19 FN Five-Seven 381 21.0% 65.6% 13.4%
20 Fusil Automatique 211 20.4% 64.5% 15.2%
21 Dual Beretta 96G Elite 900 24.7% 61.4% 13.9%
22 Desert Eagle .50AE 19,980 25.7% 62.2% 12.1%
23 Arctic Warfare Magnum (Police) 4,331 32.4% 57.6% 10.0%
24 Steyr Aug 466 28.3% 56.7% 15.0%
25 Kalashnikov AK-47 85,267 26.8% 59.8% 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 / 372027 * 100, 2) AS kpercent,
			ROUND(headshots / 139747 * 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