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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 86.05%
Members: 18 active members (75 total)
Avg. Member Points: 12,289
Total Kills: 238,775
Total Deaths: 203,330
Avg. Kills: 13,265
Kills per Death: 1.17
Kills per Minute: 0.64
Total Connection Time: 260d 12:58:23h
Avg. Connection Time: 14d 11:23:14h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points Activity Time Kills sort-ascending.gif 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 25 times 0
4 Domination (4 kills) 195 times 585
5 Defuse the Bomb 257 times 2,570
6 Start Defusing the Bomb With a Defuse Kit 304 times 0
7 Revenge 839 times 2,517
8 Triple Kill (3 kills) 1,187 times 2,374
9 Domination 1,606 times 8,030
10 Plant the Bomb 2,032 times 20,320
11 Double Kill (2 kills) 5,430 times 5,430
12 Drop the Bomb 7,293 times -14586
13 Round MVP 9,188 times 0
14 Pick up the Bomb 12,271 times 24,542
15 Headshot 13,695 times 13,695




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 1,271 times -6355
2 Revenge 991 times -2973




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 1,601 times 27.86%
2 Counter-Terrorist 1,197 times 20.83%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 8,338 3.49% 4,477 5.47% 0.54
2 Colt M4A1 Carbine 1.00 5,888 2.47% 2,700 3.30% 0.46
3 Steyr Scout 1.10 3,845 1.61% 2,422 2.96% 0.63
4 Desert Eagle .50AE 1.20 3,710 1.55% 2,143 2.62% 0.58
5 High Explosive Grenade 1.80 1,331 0.56% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 1,257 0.53% 613 0.75% 0.49
7 Arctic Warfare Magnum (Police) 1.00 1,055 0.44% 191 0.23% 0.18
8 FN P90 1.20 989 0.41% 432 0.53% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 852 0.36% 0 0.00% 0.00
10 Sig Sauer P-228 1.50 774 0.32% 348 0.43% 0.45
11 Benelli M3 Super 90 Combat 1.20 298 0.12% 131 0.16% 0.44
12 Dual Beretta 96G Elite 1.40 120 0.05% 54 0.07% 0.45
13 Galil 1.10 82 0.03% 35 0.04% 0.43
14 Sig Sauer SG-552 Commando 1.00 68 0.03% 33 0.04% 0.49
15 H&K USP .45 Tactical 1.40 55 0.02% 29 0.04% 0.53
16 FN Five-Seven 1.50 38 0.02% 16 0.02% 0.42
17 Glock 18 Select Fire 1.40 29 0.01% 19 0.02% 0.66
18 Fusil Automatique 1.00 29 0.01% 13 0.02% 0.45
19 Steyr Tactical Machine Pistol 1.50 24 0.01% 9 0.01% 0.38
20 Steyr Aug 1.00 20 0.01% 10 0.01% 0.50
21 H&K MP5-Navy 1.20 15 0.01% 5 0.01% 0.33
22 Ingram MAC-10 1.50 15 0.01% 6 0.01% 0.40
23 Benelli/H&K M4 Super 90 XM1014 1.10 6 0.00% 2 0.00% 0.33
24 H&K UMP45 1.20 5 0.00% 2 0.00% 0.40




  Weapon Stats *

Rank Weapon Shots Hits sort-descending.gif Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 363,121 31,196 1,193,241 4,479 8,340 9.3498 8.6% 38.2 43.5
2 Colt M4A1 Carbine 188,345 25,402 817,059 2,701 5,892 13.8635 13.5% 32.2 32.0
3 Desert Eagle .50AE 41,143 10,233 537,523 2,141 3,709 3.8716 24.9% 52.5 11.1
4 Steyr Scout 32,135 9,255 870,066 2,422 3,847 2.1420 28.8% 94.0 8.4
5 FN P90 36,438 5,415 128,048 432 989 21.5000 14.9% 23.6 36.8
6 M249 PARA Light Machine Gun 57,542 4,665 175,982 613 1,257 16.7600 8.1% 37.7 45.8
7 Sig Sauer P-228 20,361 3,265 99,360 348 774 24.1875 16.0% 30.4 26.3
8 Benelli M3 Super 90 Combat 1,484 2,920 41,573 131 298 1.6932 196.8% 14.2 5.0
9 Arctic Warfare Magnum (Police) 4,332 1,455 201,909 191 1,055 5.1463 33.6% 138.8 4.1
10 Bundeswehr Advanced Combat Knife 5,189 616 33,261 0 216 1.4118 11.9% 54.0 24.0
11 Dual Beretta 96G Elite 2,996 588 16,063 54 119 119.0000 19.6% 27.3 25.2
12 H&K USP .45 Tactical 2,538 426 7,993 29 55 11.0000 16.8% 18.8 46.1
13 Sig Sauer SG-552 Commando 1,736 351 10,376 33 69 69.0000 20.2% 29.6 25.2
14 Galil 1,941 329 11,546 35 82 82.0000 17.0% 35.1 23.7
15 Glock 18 Select Fire 2,391 313 5,531 19 29 29.0000 13.1% 17.7 82.4
16 FN Five-Seven 812 210 5,486 17 39 39.0000 25.9% 26.1 20.8
17 Steyr Tactical Machine Pistol 1,372 188 3,139 9 24 24.0000 13.7% 16.7 57.2
18 H&K MP5-Navy 726 135 2,131 5 15 15.0000 18.6% 15.8 48.4
19 Fusil Automatique 637 117 3,780 13 29 29.0000 18.4% 32.3 22.0
20 Benelli/H&K M4 Super 90 XM1014 123 114 1,255 2 6 6.0000 92.7% 11.0 20.5
21 Ingram MAC-10 645 113 2,180 6 15 15.0000 17.5% 19.3 43.0
22 Steyr Aug 602 110 3,545 11 22 7.3333 18.3% 32.2 27.4
23 H&K UMP45 246 38 742 2 5 5.0000 15.4% 19.5 49.2
24 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 31,196 27.7% 58.1% 14.2%
2 Colt M4A1 Carbine 25,402 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 10,233 26.4% 61.7% 11.9%
4 Steyr Scout 9,230 26.8% 64.2% 9.0%
5 FN P90 5,415 27.4% 56.5% 16.1%
6 M249 PARA Light Machine Gun 4,665 28.2% 56.5% 15.4%
7 Sig Sauer P-228 3,265 28.2% 58.4% 13.4%
8 Benelli M3 Super 90 Combat 2,920 28.7% 58.6% 12.7%
9 Arctic Warfare Magnum (Police) 1,455 31.5% 58.1% 10.4%
10 Dual Beretta 96G Elite 588 24.8% 63.6% 11.6%
11 H&K USP .45 Tactical 426 25.8% 60.3% 13.8%
12 Sig Sauer SG-552 Commando 351 30.5% 54.1% 15.4%
13 Galil 329 25.2% 61.1% 13.7%
14 Glock 18 Select Fire 313 26.8% 62.6% 10.5%
15 FN Five-Seven 210 21.9% 63.3% 14.8%
16 Steyr Tactical Machine Pistol 188 21.8% 65.4% 12.8%
17 H&K MP5-Navy 135 29.6% 55.6% 14.8%
18 Fusil Automatique 117 23.9% 64.1% 12.0%
19 Benelli/H&K M4 Super 90 XM1014 114 29.8% 56.1% 14.0%
20 Ingram MAC-10 113 25.7% 55.8% 18.6%
21 Steyr Aug 110 31.8% 59.1% 9.1%
22 H&K UMP45 38 34.2% 44.7% 21.1%
23 Bundeswehr Advanced Combat Knife 30 33.3% 60.0% 6.7%
24 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 / 238775 * 100, 2) AS kpercent,
			ROUND(headshots / 81791 * 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