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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 85.44%
Members: 18 active members (75 total)
Avg. Member Points: 12,363
Total Kills: 239,275
Total Deaths: 203,837
Avg. Kills: 13,293
Kills per Death: 1.17
Kills per Minute: 0.64
Total Connection Time: 261d 02:46:57h
Avg. Connection Time: 14d 12:09:16h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name sort-descending.gif Rank Points Activity Time Kills Clan Kills % Deaths Kpd




  Player Actions *

Rank Action Achieved Points Bonus sort-ascending.gif
1 Drop the Bomb 6,998 times -13996
2 Round MVP 8,841 times 0
3 Start Defusing the Bomb With a Defuse Kit 294 times 0
4 Start Defusing the Bomb Without a Defuse Kit 23 times 0
5 Rampage (5 kills) 14 times 56
6 Domination (4 kills) 181 times 543
7 Triple Kill (3 kills) 1,116 times 2,232
8 Revenge 812 times 2,436
9 Defuse the Bomb 247 times 2,470
10 Double Kill (2 kills) 5,178 times 5,178
11 Domination 1,526 times 7,630
12 Headshot 13,095 times 13,095
13 Plant the Bomb 1,909 times 19,090
14 Pick up the Bomb 11,788 times 23,576




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-descending.gif
1 Revenge 954 times -2862
2 Domination 1,220 times -6100




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 1,531 times 27.58%
2 Counter-Terrorist 1,165 times 20.98%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots sort-descending.gif Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 7,831 3.27% 4,228 5.15% 0.54
2 Colt M4A1 Carbine 1.00 5,772 2.41% 2,640 3.22% 0.46
3 Steyr Scout 1.10 3,620 1.51% 2,278 2.78% 0.63
4 Desert Eagle .50AE 1.20 3,531 1.48% 2,043 2.49% 0.58
5 M249 PARA Light Machine Gun 1.20 1,226 0.51% 594 0.72% 0.48
6 FN P90 1.20 1,011 0.42% 442 0.54% 0.44
7 Sig Sauer P-228 1.50 746 0.31% 340 0.41% 0.46
8 Arctic Warfare Magnum (Police) 1.00 886 0.37% 169 0.21% 0.19
9 Benelli M3 Super 90 Combat 1.20 280 0.12% 126 0.15% 0.45
10 Dual Beretta 96G Elite 1.40 118 0.05% 54 0.07% 0.46
11 Galil 1.10 81 0.03% 35 0.04% 0.43
12 Sig Sauer SG-552 Commando 1.00 67 0.03% 32 0.04% 0.48
13 H&K USP .45 Tactical 1.40 52 0.02% 27 0.03% 0.52
14 Glock 18 Select Fire 1.40 29 0.01% 20 0.02% 0.69
15 FN Five-Seven 1.50 38 0.02% 16 0.02% 0.42
16 Fusil Automatique 1.00 28 0.01% 12 0.01% 0.43
17 Steyr Aug 1.00 20 0.01% 10 0.01% 0.50
18 Steyr Tactical Machine Pistol 1.50 24 0.01% 9 0.01% 0.38
19 Ingram MAC-10 1.50 14 0.01% 6 0.01% 0.43
20 H&K MP5-Navy 1.20 13 0.01% 5 0.01% 0.38
21 Benelli/H&K M4 Super 90 XM1014 1.10 6 0.00% 2 0.00% 0.33
22 H&K UMP45 1.20 4 0.00% 2 0.00% 0.50
23 Bundeswehr Advanced Combat Knife 2.00 832 0.35% 0 0.00% 0.00
24 High Explosive Grenade 1.80 1,274 0.53% 0 0.00% 0.00




  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-47 347,821 29,442 1,125,527 4,230 7,833 9.2045 8.5% 38.2 44.4
2 Colt M4A1 Carbine 186,219 24,975 802,148 2,641 5,776 13.4639 13.4% 32.1 32.2
3 Steyr Scout 30,281 8,767 818,547 2,278 3,622 2.0780 29.0% 93.4 8.4
4 Desert Eagle .50AE 39,215 9,755 511,824 2,041 3,530 3.8495 24.9% 52.5 11.1
5 M249 PARA Light Machine Gun 55,293 4,544 171,558 594 1,226 16.7945 8.2% 37.8 45.1
6 FN P90 37,134 5,544 130,847 442 1,011 17.4310 14.9% 23.6 36.7
7 Arctic Warfare Magnum (Police) 3,611 1,225 171,549 169 886 5.2738 33.9% 140.0 4.1
8 Sig Sauer P-228 19,351 3,101 95,131 340 746 24.8667 16.0% 30.7 25.9
9 Benelli M3 Super 90 Combat 1,400 2,736 39,240 126 280 1.7284 195.4% 14.3 5.0
10 Bundeswehr Advanced Combat Knife 4,680 591 32,079 0 206 1.3919 12.6% 54.3 22.7
11 Dual Beretta 96G Elite 2,971 580 15,840 54 117 117.0000 19.5% 27.3 25.4
12 Galil 1,894 322 11,368 35 81 81.0000 17.0% 35.3 23.4
13 Sig Sauer SG-552 Commando 1,721 345 10,115 32 68 68.0000 20.0% 29.3 25.3
14 H&K USP .45 Tactical 2,312 381 7,265 27 52 52.0000 16.5% 19.1 44.5
15 FN Five-Seven 792 208 5,460 17 39 39.0000 26.3% 26.3 20.3
16 Glock 18 Select Fire 2,304 294 5,303 20 29 29.0000 12.8% 18.0 79.4
17 Fusil Automatique 627 116 3,670 12 28 28.0000 18.5% 31.6 22.4
18 Steyr Tactical Machine Pistol 1,372 188 3,139 9 24 24.0000 13.7% 16.7 57.2
19 Steyr Aug 580 112 3,617 11 22 7.3333 19.3% 32.3 26.4
20 Ingram MAC-10 618 107 2,071 6 14 14.0000 17.3% 19.4 44.1
21 H&K MP5-Navy 571 110 1,792 5 13 13.0000 19.3% 16.3 43.9
22 Benelli/H&K M4 Super 90 XM1014 106 100 1,122 2 6 6.0000 94.3% 11.2 17.7
23 H&K UMP45 231 36 676 2 4 4.0000 15.6% 18.8 57.8
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 29,442 27.8% 58.0% 14.3%
2 Colt M4A1 Carbine 24,975 27.9% 59.1% 13.0%
3 Desert Eagle .50AE 9,755 26.5% 61.8% 11.7%
4 Steyr Scout 8,742 26.9% 64.0% 9.0%
5 FN P90 5,544 27.3% 56.4% 16.3%
6 M249 PARA Light Machine Gun 4,544 28.4% 56.3% 15.3%
7 Sig Sauer P-228 3,101 27.8% 58.7% 13.5%
8 Benelli M3 Super 90 Combat 2,736 28.8% 59.1% 12.1%
9 Arctic Warfare Magnum (Police) 1,225 31.0% 58.4% 10.6%
10 Dual Beretta 96G Elite 580 25.0% 63.8% 11.2%
11 H&K USP .45 Tactical 381 25.5% 61.2% 13.4%
12 Sig Sauer SG-552 Commando 345 30.4% 53.9% 15.7%
13 Galil 322 24.8% 61.8% 13.4%
14 Glock 18 Select Fire 294 25.9% 64.3% 9.9%
15 FN Five-Seven 208 21.6% 63.9% 14.4%
16 Steyr Tactical Machine Pistol 188 21.8% 65.4% 12.8%
17 Fusil Automatique 116 24.1% 63.8% 12.1%
18 Steyr Aug 112 32.1% 59.8% 8.0%
19 H&K MP5-Navy 110 30.0% 57.3% 12.7%
20 Ingram MAC-10 107 25.2% 57.0% 17.8%
21 Benelli/H&K M4 Super 90 XM1014 100 28.0% 61.0% 11.0%
22 H&K UMP45 36 36.1% 47.2% 16.7%
23 Bundeswehr Advanced Combat Knife 29 34.5% 58.6% 6.9%
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 / 239275 * 100, 2) AS kpercent,
			ROUND(headshots / 82024 * 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