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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 88.40%
Members: 22 active members (77 total)
Avg. Member Points: 13,357
Total Kills: 289,984
Total Deaths: 244,103
Avg. Kills: 13,181
Kills per Death: 1.19
Kills per Minute: 0.64
Total Connection Time: 315d 13:26:18h
Avg. Connection Time: 14d 08:14:49h
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 sort-descending.gif Kills Clan Kills % Deaths Kpd
21  Russian federationНикита elorank 4,760 1d 03:42:58h 880 0.30% 1,005 0.88
22  Russian federationfeewt elorank 7,468 0d 20:45:45h 1,066 0.37% 776 1.37


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  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 10,941 times 10,941
2 Pick up the Bomb 8,986 times 17,972
3 Round MVP 6,884 times 0
4 Drop the Bomb 5,714 times -11428
5 Double Kill (2 kills) 4,300 times 4,300
6 Domination 1,227 times 6,135
7 Plant the Bomb 1,017 times 10,170
8 Triple Kill (3 kills) 979 times 1,958
9 Revenge 628 times 1,884
10 Start Defusing the Bomb With a Defuse Kit 271 times 0
11 Defuse the Bomb 197 times 1,970
12 Domination (4 kills) 125 times 375
13 Start Defusing the Bomb Without a Defuse Kit 20 times 0
14 Rampage (5 kills) 13 times 52




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 1,015 times -5075
2 Revenge 774 times -2322




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 1,545 times 25.77%
2 Counter-Terrorist 1,325 times 22.10%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-ascending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 H&K UMP45 1.20 4 0.00% 2 0.00% 0.50
2 H&K MP5-Navy 1.20 5 0.00% 3 0.00% 0.60
3 Benelli/H&K M4 Super 90 XM1014 1.10 6 0.00% 2 0.00% 0.33
4 Ingram MAC-10 1.50 10 0.00% 5 0.00% 0.50
5 FN Five-Seven 1.50 11 0.00% 3 0.00% 0.27
6 Galil 1.10 20 0.01% 6 0.01% 0.30
7 Dual Beretta 96G Elite 1.40 22 0.01% 10 0.01% 0.45
8 Fusil Automatique 1.00 30 0.01% 15 0.01% 0.50
9 Glock 18 Select Fire 1.40 36 0.01% 17 0.02% 0.47
10 H&K USP .45 Tactical 1.40 76 0.03% 45 0.04% 0.59
11 Steyr Aug 1.00 92 0.03% 38 0.04% 0.41
12 Sig Sauer SG-552 Commando 1.00 114 0.04% 59 0.06% 0.52
13 Benelli M3 Super 90 Combat 1.20 192 0.07% 64 0.06% 0.33
14 Steyr Tactical Machine Pistol 1.50 237 0.08% 127 0.12% 0.54
15 Arctic Warfare Magnum (Police) 1.00 441 0.15% 73 0.07% 0.17
16 Bundeswehr Advanced Combat Knife 2.00 624 0.22% 0 0.00% 0.00
17 Sig Sauer P-228 1.50 658 0.23% 294 0.28% 0.45
18 FN P90 1.20 681 0.23% 333 0.32% 0.49
19 High Explosive Grenade 1.80 872 0.30% 0 0.00% 0.00
20 M249 PARA Light Machine Gun 1.20 1,256 0.43% 672 0.64% 0.54
21 Desert Eagle .50AE 1.20 2,341 0.81% 1,248 1.18% 0.53
22 Steyr Scout 1.10 2,455 0.85% 1,514 1.44% 0.62
23 Colt M4A1 Carbine 1.00 5,621 1.94% 2,673 2.53% 0.48
24 Kalashnikov AK-47 1.00 7,277 2.51% 3,700 3.51% 0.51




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 H&K UMP45 106 18 379 2 4 4.0000 17.0% 21.1 26.5
2 H&K MP5-Navy 359 61 867 3 5 5.0000 17.0% 14.2 71.8
3 Benelli/H&K M4 Super 90 XM1014 89 71 811 2 6 6.0000 79.8% 11.4 14.8
4 Ingram MAC-10 399 70 1,514 5 10 10.0000 17.5% 21.6 39.9
5 FN Five-Seven 238 56 1,193 3 11 11.0000 23.5% 21.3 21.6
6 Galil 524 77 2,420 6 20 20.0000 14.7% 31.4 26.2
7 Dual Beretta 96G Elite 917 101 2,771 10 21 21.0000 11.0% 27.4 43.7
8 Fusil Automatique 996 144 4,214 15 30 30.0000 14.5% 29.3 33.2
9 Glock 18 Select Fire 2,443 389 6,020 17 36 36.0000 15.9% 15.5 67.9
10 H&K USP .45 Tactical 2,561 479 9,914 45 77 77.0000 18.7% 20.7 33.3
11 Steyr Aug 1,678 351 11,384 38 92 46.0000 20.9% 32.4 18.2
12 Sig Sauer SG-552 Commando 13,967 662 17,680 59 114 22.8000 4.7% 26.7 122.5
13 Bundeswehr Advanced Combat Knife 2,613 337 19,269 0 122 1.3407 12.9% 57.2 21.4
14 Benelli M3 Super 90 Combat 886 1,949 27,271 64 192 1.4769 220.0% 14.0 4.6
15 Steyr Tactical Machine Pistol 9,007 1,716 31,650 127 237 237.0000 19.1% 18.4 38.0
16 Arctic Warfare Magnum (Police) 1,517 588 82,352 73 443 5.4691 38.8% 140.1 3.4
17 Sig Sauer P-228 15,952 2,445 79,114 294 657 13.4082 15.3% 32.4 24.3
18 FN P90 23,466 3,677 91,107 334 683 12.8868 15.7% 24.8 34.4
19 M249 PARA Light Machine Gun 50,392 4,520 181,488 680 1,269 13.3579 9.0% 40.2 39.7
20 Desert Eagle .50AE 25,415 6,429 334,750 1,259 2,352 4.8696 25.3% 52.1 10.8
21 Steyr Scout 20,698 6,118 571,666 1,516 2,460 2.1809 29.6% 93.4 8.4
22 Colt M4A1 Carbine 197,325 23,986 770,783 2,678 5,629 9.2582 12.2% 32.1 35.1
23 Kalashnikov AK-47 347,895 27,597 1,049,148 3,711 7,292 6.8792 7.9% 38.0 47.7




  Weapon Targets *

Rank Weapon Hits Left Middle Right sort-ascending.gif
1 Bundeswehr Advanced Combat Knife 29 37.9% 58.6% 3.4%
2 Dual Beretta 96G Elite 101 25.7% 68.3% 5.9%
3 Steyr Scout 6,118 27.6% 63.0% 9.4%
4 Steyr Aug 351 26.8% 63.0% 10.3%
5 Arctic Warfare Magnum (Police) 588 31.6% 58.0% 10.4%
6 Steyr Tactical Machine Pistol 1,716 25.5% 63.7% 10.8%
7 H&K USP .45 Tactical 479 24.0% 65.1% 10.9%
8 Benelli/H&K M4 Super 90 XM1014 71 21.1% 67.6% 11.3%
9 Desert Eagle .50AE 6,429 27.8% 60.6% 11.6%
10 Benelli M3 Super 90 Combat 1,949 31.8% 56.4% 11.8%
11 Glock 18 Select Fire 389 24.9% 62.7% 12.3%
12 Fusil Automatique 144 22.9% 64.6% 12.5%
13 Ingram MAC-10 70 25.7% 61.4% 12.9%
14 Colt M4A1 Carbine 23,986 27.5% 59.5% 13.0%
15 M249 PARA Light Machine Gun 4,520 26.9% 59.5% 13.6%
16 Sig Sauer P-228 2,445 26.3% 59.8% 13.9%
17 Kalashnikov AK-47 27,597 28.4% 57.1% 14.5%
18 FN P90 3,677 26.7% 58.8% 14.6%
19 H&K UMP45 18 33.3% 50.0% 16.7%
20 Sig Sauer SG-552 Commando 662 31.4% 51.4% 17.2%
21 Galil 77 23.4% 57.1% 19.5%
22 H&K MP5-Navy 61 26.2% 54.1% 19.7%
23 FN Five-Seven 56 23.2% 53.6% 23.2%


Targets
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ERROR
Database Error

Server Address: 192.168.1.189
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 / 289984 * 100, 2) AS kpercent,
			ROUND(headshots / 105471 * 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