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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 87.11%
Members: 18 active members (75 total)
Avg. Member Points: 12,351
Total Kills: 239,198
Total Deaths: 203,760
Avg. Kills: 13,289
Kills per Death: 1.17
Kills per Minute: 0.64
Total Connection Time: 261d 00:45:42h
Avg. Connection Time: 14d 12:02:32h
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 Clan Kills % Deaths Kpd sort-descending.gif




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Pick up the Bomb 12,234 times 24,468
2 Plant the Bomb 1,985 times 19,850
3 Headshot 13,529 times 13,529
4 Domination 1,584 times 7,920
5 Double Kill (2 kills) 5,349 times 5,349
6 Defuse the Bomb 253 times 2,530
7 Revenge 839 times 2,517
8 Triple Kill (3 kills) 1,149 times 2,298
9 Domination (4 kills) 189 times 567
10 Rampage (5 kills) 14 times 56
11 Mega Kill (6 kills) 1 times 5
12 Start Defusing the Bomb Without a Defuse Kit 23 times 0
13 Start Defusing the Bomb With a Defuse Kit 300 times 0
14 Round MVP 9,102 times 0
15 Drop the Bomb 7,298 times -14596




  Victims of Player-Player Actions *

Rank Action sort-ascending.gif Times Victimized Points Bonus
1 Domination 1,266 times -6330
2 Revenge 983 times -2949




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 1,582 times 27.73%
2 Counter-Terrorist 1,194 times 20.93%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 8,164 3.41% 4,396 5.36% 0.54
2 Colt M4A1 Carbine 1.00 5,872 2.45% 2,698 3.29% 0.46
3 Steyr Scout 1.10 3,778 1.58% 2,371 2.89% 0.63
4 Desert Eagle .50AE 1.20 3,643 1.52% 2,111 2.57% 0.58
5 High Explosive Grenade 1.80 1,309 0.55% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 1,245 0.52% 606 0.74% 0.49
7 FN P90 1.20 1,022 0.43% 448 0.55% 0.44
8 Arctic Warfare Magnum (Police) 1.00 951 0.40% 177 0.22% 0.19
9 Bundeswehr Advanced Combat Knife 2.00 858 0.36% 0 0.00% 0.00
10 Sig Sauer P-228 1.50 784 0.33% 354 0.43% 0.45
11 Benelli M3 Super 90 Combat 1.20 291 0.12% 130 0.16% 0.45
12 Dual Beretta 96G Elite 1.40 118 0.05% 54 0.07% 0.46
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% 30 0.04% 0.55
16 FN Five-Seven 1.50 38 0.02% 16 0.02% 0.42
17 Glock 18 Select Fire 1.40 31 0.01% 20 0.02% 0.65
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 19 0.01% 9 0.01% 0.47
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 Damage Headshots Kills Kills per Death Accuracy Damage per Hit sort-descending.gif Shots per Kill
1 Arctic Warfare Magnum (Police) 3,875 1,304 182,190 177 951 5.1967 33.7% 139.7 4.1
2 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
3 Steyr Scout 31,712 9,145 854,414 2,371 3,780 2.1070 28.8% 93.4 8.4
4 Bundeswehr Advanced Combat Knife 5,104 608 32,912 0 214 1.4079 11.9% 54.1 23.9
5 Desert Eagle .50AE 40,471 10,051 528,752 2,109 3,642 3.8377 24.8% 52.6 11.1
6 Kalashnikov AK-47 361,188 30,645 1,171,373 4,398 8,166 9.2063 8.5% 38.2 44.2
7 M249 PARA Light Machine Gun 56,981 4,622 174,256 606 1,245 17.0548 8.1% 37.7 45.8
8 Galil 1,941 329 11,546 35 82 82.0000 17.0% 35.1 23.7
9 Fusil Automatique 637 117 3,780 13 29 29.0000 18.4% 32.3 22.0
10 Colt M4A1 Carbine 190,378 25,390 815,766 2,699 5,876 13.6334 13.3% 32.1 32.4
11 Steyr Aug 566 107 3,421 10 21 7.0000 18.9% 32.0 27.0
12 Sig Sauer P-228 20,492 3,281 100,150 354 784 23.7576 16.0% 30.5 26.1
13 Sig Sauer SG-552 Commando 1,736 351 10,376 33 69 69.0000 20.2% 29.6 25.2
14 Dual Beretta 96G Elite 2,971 580 15,840 54 117 117.0000 19.5% 27.3 25.4
15 FN Five-Seven 792 208 5,460 17 39 39.0000 26.3% 26.3 20.3
16 FN P90 37,362 5,581 132,062 448 1,022 17.3220 14.9% 23.7 36.6
17 Ingram MAC-10 645 113 2,180 6 15 15.0000 17.5% 19.3 43.0
18 H&K UMP45 249 40 762 2 5 5.0000 16.1% 19.1 49.8
19 H&K USP .45 Tactical 2,502 422 7,974 30 55 11.0000 16.9% 18.9 45.5
20 Glock 18 Select Fire 2,360 305 5,537 20 31 31.0000 12.9% 18.2 76.1
21 Steyr Tactical Machine Pistol 1,372 188 3,139 9 24 24.0000 13.7% 16.7 57.2
22 H&K MP5-Navy 726 135 2,131 5 15 15.0000 18.6% 15.8 48.4
23 Benelli M3 Super 90 Combat 1,448 2,848 40,745 130 291 1.7219 196.7% 14.3 5.0
24 Benelli/H&K M4 Super 90 XM1014 116 110 1,224 2 6 6.0000 94.8% 11.1 19.3




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 30,645 27.7% 58.0% 14.3%
2 Colt M4A1 Carbine 25,390 27.9% 59.1% 13.0%
3 Desert Eagle .50AE 10,051 26.4% 61.8% 11.8%
4 Steyr Scout 9,120 26.9% 64.0% 9.0%
5 FN P90 5,581 27.4% 56.4% 16.2%
6 M249 PARA Light Machine Gun 4,622 28.3% 56.4% 15.3%
7 Sig Sauer P-228 3,281 28.2% 58.4% 13.3%
8 Benelli M3 Super 90 Combat 2,848 28.7% 59.0% 12.4%
9 Arctic Warfare Magnum (Police) 1,304 31.1% 58.3% 10.7%
10 Dual Beretta 96G Elite 580 25.0% 63.8% 11.2%
11 H&K USP .45 Tactical 422 25.8% 60.7% 13.5%
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 305 25.9% 63.9% 10.2%
15 FN Five-Seven 208 21.6% 63.9% 14.4%
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 Ingram MAC-10 113 25.7% 55.8% 18.6%
20 Benelli/H&K M4 Super 90 XM1014 110 30.0% 57.3% 12.7%
21 Steyr Aug 107 32.7% 58.9% 8.4%
22 H&K UMP45 40 35.0% 45.0% 20.0%
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 / 239198 * 100, 2) AS kpercent,
			ROUND(headshots / 81992 * 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