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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 Points Bonus sort-ascending.gif
1 Drop the Bomb 7,293 times -14586
2 Round MVP 9,188 times 0
3 Start Defusing the Bomb With a Defuse Kit 304 times 0
4 Start Defusing the Bomb Without a Defuse Kit 25 times 0
5 Mega Kill (6 kills) 1 times 5
6 Rampage (5 kills) 14 times 56
7 Domination (4 kills) 195 times 585
8 Triple Kill (3 kills) 1,187 times 2,374
9 Revenge 839 times 2,517
10 Defuse the Bomb 257 times 2,570
11 Double Kill (2 kills) 5,430 times 5,430
12 Domination 1,606 times 8,030
13 Headshot 13,695 times 13,695
14 Plant the Bomb 2,032 times 20,320
15 Pick up the Bomb 12,271 times 24,542




  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-ascending.gif Percentage of Times %
1 Counter-Terrorist 1,197 times 20.83%
2 Terrorist 1,601 times 27.86%




  Weapon Usage *

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




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-descending.gif 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 Steyr Scout 32,135 9,255 870,066 2,422 3,847 2.1420 28.8% 94.0 8.4
4 Desert Eagle .50AE 41,143 10,233 537,523 2,141 3,709 3.8716 24.9% 52.5 11.1
5 M249 PARA Light Machine Gun 57,542 4,665 175,982 613 1,257 16.7600 8.1% 37.7 45.8
6 Arctic Warfare Magnum (Police) 4,332 1,455 201,909 191 1,055 5.1463 33.6% 138.8 4.1
7 FN P90 36,438 5,415 128,048 432 989 21.5000 14.9% 23.6 36.8
8 Sig Sauer P-228 20,361 3,265 99,360 348 774 24.1875 16.0% 30.4 26.3
9 Benelli M3 Super 90 Combat 1,484 2,920 41,573 131 298 1.6932 196.8% 14.2 5.0
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 Galil 1,941 329 11,546 35 82 82.0000 17.0% 35.1 23.7
13 Sig Sauer SG-552 Commando 1,736 351 10,376 33 69 69.0000 20.2% 29.6 25.2
14 H&K USP .45 Tactical 2,538 426 7,993 29 55 11.0000 16.8% 18.8 46.1
15 FN Five-Seven 812 210 5,486 17 39 39.0000 25.9% 26.1 20.8
16 Glock 18 Select Fire 2,391 313 5,531 19 29 29.0000 13.1% 17.7 82.4
17 Fusil Automatique 637 117 3,780 13 29 29.0000 18.4% 32.3 22.0
18 Steyr Tactical Machine Pistol 1,372 188 3,139 9 24 24.0000 13.7% 16.7 57.2
19 Steyr Aug 602 110 3,545 11 22 7.3333 18.3% 32.2 27.4
20 H&K MP5-Navy 726 135 2,131 5 15 15.0000 18.6% 15.8 48.4
21 Ingram MAC-10 645 113 2,180 6 15 15.0000 17.5% 19.3 43.0
22 Benelli/H&K M4 Super 90 XM1014 123 114 1,255 2 6 6.0000 92.7% 11.0 20.5
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