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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 81.05%
Members: 18 active members (75 total)
Avg. Member Points: 12,284
Total Kills: 238,515
Total Deaths: 203,097
Avg. Kills: 13,251
Kills per Death: 1.17
Kills per Minute: 0.64
Total Connection Time: 260d 05:05:33h
Avg. Connection Time: 14d 10:56:58h
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




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 19,906 times 19,906
2 Pick up the Bomb 16,985 times 33,970
3 Round MVP 12,985 times 0
4 Drop the Bomb 10,024 times -20048
5 Double Kill (2 kills) 8,010 times 8,010
6 Plant the Bomb 2,873 times 28,730
7 Domination 2,367 times 11,835
8 Triple Kill (3 kills) 1,858 times 3,716
9 Revenge 1,247 times 3,741
10 Start Defusing the Bomb With a Defuse Kit 463 times 0
11 Defuse the Bomb 386 times 3,860
12 Domination (4 kills) 315 times 945
13 Start Defusing the Bomb Without a Defuse Kit 44 times 0
14 Rampage (5 kills) 26 times 104
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Rescue a Hostage 1 times 5
18 Mega Kill (6 kills) 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-descending.gif
1 Revenge 1,428 times -4284
2 Domination 1,909 times -9545




  Team Selection *

Rank Team sort-ascending.gif Joined Percentage of Times %
1 Counter-Terrorist 1,824 times 21.76%
2 Terrorist 2,288 times 27.30%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk sort-descending.gif
1 Steyr Scout 1.10 5,072 2.13% 3,177 3.89% 0.63
2 Desert Eagle .50AE 1.20 5,239 2.20% 3,036 3.72% 0.58
3 H&K USP .45 Tactical 1.40 93 0.04% 50 0.06% 0.54
4 Steyr Aug 1.00 45 0.02% 24 0.03% 0.53
5 Kalashnikov AK-47 1.00 12,300 5.16% 6,468 7.92% 0.53
6 Glock 18 Select Fire 1.40 44 0.02% 23 0.03% 0.52
7 Steyr Tactical Machine Pistol 1.50 39 0.02% 19 0.02% 0.49
8 M249 PARA Light Machine Gun 1.20 1,914 0.80% 913 1.12% 0.48
9 Dual Beretta 96G Elite 1.40 158 0.07% 76 0.09% 0.48
10 Fusil Automatique 1.00 30 0.01% 14 0.02% 0.47
11 Colt M4A1 Carbine 1.00 8,827 3.70% 4,055 4.97% 0.46
12 FN P90 1.20 1,570 0.66% 699 0.86% 0.45
13 Sig Sauer P-228 1.50 1,273 0.53% 556 0.68% 0.44
14 H&K UMP45 1.20 7 0.00% 3 0.00% 0.43
15 Benelli M3 Super 90 Combat 1.20 455 0.19% 196 0.24% 0.43
16 Sig Sauer SG-552 Commando 1.00 597 0.25% 252 0.31% 0.42
17 Ingram MAC-10 1.50 31 0.01% 13 0.02% 0.42
18 FN Five-Seven 1.50 39 0.02% 16 0.02% 0.41
19 Galil 1.10 92 0.04% 37 0.05% 0.40
20 Benelli/H&K M4 Super 90 XM1014 1.10 13 0.01% 5 0.01% 0.38
21 H&K MP5-Navy 1.20 22 0.01% 7 0.01% 0.32
22 Arctic Warfare Magnum (Police) 1.00 1,638 0.69% 281 0.34% 0.17
23 Bundeswehr Advanced Combat Knife 2.00 1,323 0.55% 1 0.00% 0.00
24 High Explosive Grenade 1.80 1,876 0.79% 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-47 459,152 44,950 1,740,301 6,461 12,289 8.9310 9.8% 38.7 37.4
2 Colt M4A1 Carbine 306,576 38,477 1,228,602 4,052 8,823 13.5115 12.6% 31.9 34.7
3 Desert Eagle .50AE 56,583 14,464 762,132 3,032 5,235 4.0676 25.6% 52.7 10.8
4 Steyr Scout 41,656 12,329 1,155,090 3,171 5,068 2.2006 29.6% 93.7 8.2
5 M249 PARA Light Machine Gun 96,463 7,271 267,742 914 1,915 13.3916 7.5% 36.8 50.4
6 Arctic Warfare Magnum (Police) 6,711 2,303 313,896 281 1,638 5.1835 34.3% 136.3 4.1
7 FN P90 68,310 8,749 205,604 699 1,570 11.2143 12.8% 23.5 43.5
8 Sig Sauer P-228 34,808 5,471 167,970 556 1,273 22.7321 15.7% 30.7 27.3
9 Sig Sauer SG-552 Commando 44,216 3,024 87,147 252 598 28.4762 6.8% 28.8 73.9
10 Benelli M3 Super 90 Combat 2,193 4,383 62,703 196 455 1.7433 199.9% 14.3 4.8
11 Bundeswehr Advanced Combat Knife 8,165 950 51,541 1 335 1.5581 11.6% 54.3 24.4
12 Dual Beretta 96G Elite 4,211 775 21,537 76 157 157.0000 18.4% 27.8 26.8
13 H&K USP .45 Tactical 3,498 660 13,152 50 93 18.6000 18.9% 19.9 37.6
14 Galil 2,200 359 12,515 37 92 92.0000 16.3% 34.9 23.9
15 Steyr Aug 1,603 237 7,238 25 47 7.8333 14.8% 30.5 34.1
16 Glock 18 Select Fire 3,481 467 7,981 23 44 44.0000 13.4% 17.1 79.1
17 FN Five-Seven 890 222 5,704 17 40 40.0000 24.9% 25.7 22.3
18 Steyr Tactical Machine Pistol 2,373 325 5,650 19 39 39.0000 13.7% 17.4 60.8
19 Ingram MAC-10 1,300 220 4,043 13 31 31.0000 16.9% 18.4 41.9
20 Fusil Automatique 647 122 3,930 14 30 30.0000 18.9% 32.2 21.6
21 H&K MP5-Navy 1,180 242 3,501 7 22 22.0000 20.5% 14.5 53.6
22 Benelli/H&K M4 Super 90 XM1014 414 204 2,509 5 13 13.0000 49.3% 12.3 31.8
23 H&K UMP45 617 77 1,492 3 7 7.0000 12.5% 19.4 88.1
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 44,950 27.4% 58.5% 14.1%
2 Colt M4A1 Carbine 38,477 28.0% 58.9% 13.1%
3 Desert Eagle .50AE 14,464 26.2% 62.0% 11.8%
4 Steyr Scout 12,304 26.8% 64.1% 9.0%
5 FN P90 8,749 27.6% 56.7% 15.8%
6 M249 PARA Light Machine Gun 7,271 28.5% 56.2% 15.3%
7 Sig Sauer P-228 5,471 28.6% 57.7% 13.7%
8 Benelli M3 Super 90 Combat 4,383 30.0% 57.0% 13.0%
9 Sig Sauer SG-552 Commando 3,024 29.2% 55.4% 15.4%
10 Arctic Warfare Magnum (Police) 2,303 32.5% 56.8% 10.7%
11 Dual Beretta 96G Elite 775 25.0% 62.3% 12.6%
12 H&K USP .45 Tactical 660 23.0% 63.9% 13.0%
13 Glock 18 Select Fire 467 25.3% 63.0% 11.8%
14 Galil 359 25.9% 59.6% 14.5%
15 Steyr Tactical Machine Pistol 325 22.8% 64.9% 12.3%
16 H&K MP5-Navy 242 28.5% 56.2% 15.3%
17 Steyr Aug 237 28.3% 59.1% 12.7%
18 FN Five-Seven 222 22.5% 62.6% 14.9%
19 Ingram MAC-10 220 24.5% 61.4% 14.1%
20 Benelli/H&K M4 Super 90 XM1014 204 30.9% 52.5% 16.7%
21 Fusil Automatique 122 23.0% 64.8% 12.3%
22 H&K UMP45 77 33.8% 41.6% 24.7%
23 Bundeswehr Advanced Combat Knife 48 29.2% 64.6% 6.3%
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 / 238515 * 100, 2) AS kpercent,
			ROUND(headshots / 81668 * 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