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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 87.61%
Members: 18 active members (75 total)
Avg. Member Points: 12,328
Total Kills: 239,096
Total Deaths: 203,643
Avg. Kills: 13,283
Kills per Death: 1.17
Kills per Minute: 0.64
Total Connection Time: 260d 21:18:28h
Avg. Connection Time: 14d 11:51:01h
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




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Mega Kill (6 kills) 1 times 5
2 Rampage (5 kills) 14 times 56
3 Start Defusing the Bomb Without a Defuse Kit 23 times 0
4 Domination (4 kills) 191 times 573
5 Defuse the Bomb 255 times 2,550
6 Start Defusing the Bomb With a Defuse Kit 302 times 0
7 Revenge 841 times 2,523
8 Triple Kill (3 kills) 1,176 times 2,352
9 Domination 1,603 times 8,015
10 Plant the Bomb 2,005 times 20,050
11 Double Kill (2 kills) 5,399 times 5,399
12 Drop the Bomb 7,304 times -14608
13 Round MVP 9,138 times 0
14 Pick up the Bomb 12,264 times 24,528
15 Headshot 13,659 times 13,659




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 991 times -2973
2 Domination 1,273 times -6365




  Team Selection *

Rank Team sort-ascending.gif Joined Percentage of Times %
1 Counter-Terrorist 1,193 times 20.87%
2 Terrorist 1,587 times 27.77%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots sort-ascending.gif Percentage of Headshots % Hpk
1 High Explosive Grenade 1.80 1,321 0.55% 0 0.00% 0.00
2 Bundeswehr Advanced Combat Knife 2.00 854 0.36% 0 0.00% 0.00
3 H&K UMP45 1.20 5 0.00% 2 0.00% 0.40
4 Benelli/H&K M4 Super 90 XM1014 1.10 6 0.00% 2 0.00% 0.33
5 H&K MP5-Navy 1.20 15 0.01% 5 0.01% 0.33
6 Ingram MAC-10 1.50 15 0.01% 6 0.01% 0.40
7 Steyr Tactical Machine Pistol 1.50 24 0.01% 9 0.01% 0.38
8 Steyr Aug 1.00 20 0.01% 10 0.01% 0.50
9 Fusil Automatique 1.00 29 0.01% 13 0.02% 0.45
10 FN Five-Seven 1.50 38 0.02% 16 0.02% 0.42
11 Glock 18 Select Fire 1.40 30 0.01% 20 0.02% 0.67
12 H&K USP .45 Tactical 1.40 54 0.02% 29 0.04% 0.54
13 Sig Sauer SG-552 Commando 1.00 68 0.03% 33 0.04% 0.49
14 Galil 1.10 82 0.03% 35 0.04% 0.43
15 Dual Beretta 96G Elite 1.40 120 0.05% 54 0.07% 0.45
16 Benelli M3 Super 90 Combat 1.20 293 0.12% 130 0.16% 0.44
17 Arctic Warfare Magnum (Police) 1.00 969 0.41% 179 0.22% 0.18
18 Sig Sauer P-228 1.50 783 0.33% 354 0.43% 0.45
19 FN P90 1.20 995 0.42% 437 0.53% 0.44
20 M249 PARA Light Machine Gun 1.20 1,264 0.53% 619 0.76% 0.49
21 Desert Eagle .50AE 1.20 3,669 1.53% 2,128 2.60% 0.58
22 Steyr Scout 1.10 3,837 1.60% 2,409 2.94% 0.63
23 Colt M4A1 Carbine 1.00 5,898 2.47% 2,715 3.31% 0.46
24 Kalashnikov AK-47 1.00 8,266 3.46% 4,449 5.43% 0.54




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif 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 UMP45 249 40 762 2 5 5.0000 16.1% 19.1 49.8
3 Benelli/H&K M4 Super 90 XM1014 123 114 1,255 2 6 6.0000 92.7% 11.0 20.5
4 Ingram MAC-10 645 113 2,180 6 15 15.0000 17.5% 19.3 43.0
5 H&K MP5-Navy 726 135 2,131 5 15 15.0000 18.6% 15.8 48.4
6 Steyr Aug 602 110 3,545 11 22 7.3333 18.3% 32.2 27.4
7 Steyr Tactical Machine Pistol 1,372 188 3,139 9 24 24.0000 13.7% 16.7 57.2
8 Fusil Automatique 637 117 3,780 13 29 29.0000 18.4% 32.3 22.0
9 Glock 18 Select Fire 2,354 302 5,513 20 30 30.0000 12.8% 18.3 78.5
10 FN Five-Seven 792 208 5,460 17 39 39.0000 26.3% 26.3 20.3
11 H&K USP .45 Tactical 2,506 423 7,976 29 54 10.8000 16.9% 18.9 46.4
12 Sig Sauer SG-552 Commando 1,736 351 10,376 33 69 69.0000 20.2% 29.6 25.2
13 Galil 1,941 329 11,546 35 82 82.0000 17.0% 35.1 23.7
14 Dual Beretta 96G Elite 2,996 588 16,063 54 119 119.0000 19.6% 27.3 25.2
15 Bundeswehr Advanced Combat Knife 5,118 610 32,976 0 214 1.3987 11.9% 54.1 23.9
16 Benelli M3 Super 90 Combat 1,456 2,860 40,896 130 293 1.7135 196.4% 14.3 5.0
17 Sig Sauer P-228 20,412 3,275 99,996 354 783 23.7273 16.0% 30.5 26.1
18 Arctic Warfare Magnum (Police) 3,945 1,324 184,947 179 969 5.2097 33.6% 139.7 4.1
19 FN P90 36,685 5,424 128,492 437 995 21.6304 14.8% 23.7 36.9
20 M249 PARA Light Machine Gun 57,633 4,688 177,114 619 1,264 16.4156 8.1% 37.8 45.6
21 Desert Eagle .50AE 40,710 10,115 532,333 2,126 3,668 3.8570 24.8% 52.6 11.1
22 Steyr Scout 32,082 9,261 867,320 2,409 3,839 2.1280 28.9% 93.7 8.4
23 Colt M4A1 Carbine 190,718 25,474 819,333 2,716 5,902 13.6937 13.4% 32.2 32.3
24 Kalashnikov AK-47 361,051 30,939 1,184,507 4,451 8,268 9.3003 8.6% 38.3 43.7




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
2 Bundeswehr Advanced Combat Knife 30 33.3% 60.0% 6.7%
3 H&K UMP45 40 35.0% 45.0% 20.0%
4 Steyr Aug 110 31.8% 59.1% 9.1%
5 Ingram MAC-10 113 25.7% 55.8% 18.6%
6 Benelli/H&K M4 Super 90 XM1014 114 29.8% 56.1% 14.0%
7 Fusil Automatique 117 23.9% 64.1% 12.0%
8 H&K MP5-Navy 135 29.6% 55.6% 14.8%
9 Steyr Tactical Machine Pistol 188 21.8% 65.4% 12.8%
10 FN Five-Seven 208 21.6% 63.9% 14.4%
11 Glock 18 Select Fire 302 26.2% 63.6% 10.3%
12 Galil 329 25.2% 61.1% 13.7%
13 Sig Sauer SG-552 Commando 351 30.5% 54.1% 15.4%
14 H&K USP .45 Tactical 423 25.3% 60.8% 13.9%
15 Dual Beretta 96G Elite 588 24.8% 63.6% 11.6%
16 Arctic Warfare Magnum (Police) 1,324 31.1% 58.1% 10.8%
17 Benelli M3 Super 90 Combat 2,860 28.6% 58.8% 12.6%
18 Sig Sauer P-228 3,275 28.2% 58.4% 13.4%
19 M249 PARA Light Machine Gun 4,688 28.2% 56.5% 15.3%
20 FN P90 5,424 27.4% 56.5% 16.2%
21 Steyr Scout 9,236 27.0% 64.1% 9.0%
22 Desert Eagle .50AE 10,115 26.4% 61.8% 11.8%
23 Colt M4A1 Carbine 25,474 27.8% 59.2% 13.0%
24 Kalashnikov AK-47 30,939 27.7% 58.1% 14.3%


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 / 239096 * 100, 2) AS kpercent,
			ROUND(headshots / 81948 * 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