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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 05:06:00h
Avg. Connection Time: 14d 10:57:00h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

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




  Player Actions *

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




  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 sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 12,300 5.16% 6,468 7.92% 0.53
2 Colt M4A1 Carbine 1.00 8,827 3.70% 4,055 4.97% 0.46
3 Desert Eagle .50AE 1.20 5,239 2.20% 3,036 3.72% 0.58
4 Steyr Scout 1.10 5,072 2.13% 3,177 3.89% 0.63
5 M249 PARA Light Machine Gun 1.20 1,914 0.80% 913 1.12% 0.48
6 High Explosive Grenade 1.80 1,876 0.79% 0 0.00% 0.00
7 Arctic Warfare Magnum (Police) 1.00 1,638 0.69% 281 0.34% 0.17
8 FN P90 1.20 1,570 0.66% 699 0.86% 0.45
9 Bundeswehr Advanced Combat Knife 2.00 1,323 0.55% 1 0.00% 0.00
10 Sig Sauer P-228 1.50 1,273 0.53% 556 0.68% 0.44
11 Sig Sauer SG-552 Commando 1.00 597 0.25% 252 0.31% 0.42
12 Benelli M3 Super 90 Combat 1.20 455 0.19% 196 0.24% 0.43
13 Dual Beretta 96G Elite 1.40 158 0.07% 76 0.09% 0.48
14 H&K USP .45 Tactical 1.40 93 0.04% 50 0.06% 0.54
15 Galil 1.10 92 0.04% 37 0.05% 0.40
16 Steyr Aug 1.00 45 0.02% 24 0.03% 0.53
17 Glock 18 Select Fire 1.40 44 0.02% 23 0.03% 0.52
18 Steyr Tactical Machine Pistol 1.50 39 0.02% 19 0.02% 0.49
19 FN Five-Seven 1.50 39 0.02% 16 0.02% 0.41
20 Ingram MAC-10 1.50 31 0.01% 13 0.02% 0.42
21 Fusil Automatique 1.00 30 0.01% 14 0.02% 0.47
22 H&K MP5-Navy 1.20 22 0.01% 7 0.01% 0.32
23 Benelli/H&K M4 Super 90 XM1014 1.10 13 0.01% 5 0.01% 0.38
24 H&K UMP45 1.20 7 0.00% 3 0.00% 0.43




  Weapon Stats *

Rank Weapon Shots sort-descending.gif Hits Damage Headshots Kills 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 M249 PARA Light Machine Gun 96,463 7,271 267,742 914 1,915 13.3916 7.5% 36.8 50.4
4 FN P90 68,310 8,749 205,604 699 1,570 11.2143 12.8% 23.5 43.5
5 Desert Eagle .50AE 56,583 14,464 762,132 3,032 5,235 4.0676 25.6% 52.7 10.8
6 Sig Sauer SG-552 Commando 44,216 3,024 87,147 252 598 28.4762 6.8% 28.8 73.9
7 Steyr Scout 41,656 12,329 1,155,090 3,171 5,068 2.2006 29.6% 93.7 8.2
8 Sig Sauer P-228 34,808 5,471 167,970 556 1,273 22.7321 15.7% 30.7 27.3
9 Bundeswehr Advanced Combat Knife 8,165 950 51,541 1 335 1.5581 11.6% 54.3 24.4
10 Arctic Warfare Magnum (Police) 6,711 2,303 313,896 281 1,638 5.1835 34.3% 136.3 4.1
11 Dual Beretta 96G Elite 4,211 775 21,537 76 157 157.0000 18.4% 27.8 26.8
12 H&K USP .45 Tactical 3,498 660 13,152 50 93 18.6000 18.9% 19.9 37.6
13 Glock 18 Select Fire 3,481 467 7,981 23 44 44.0000 13.4% 17.1 79.1
14 Steyr Tactical Machine Pistol 2,373 325 5,650 19 39 39.0000 13.7% 17.4 60.8
15 Galil 2,200 359 12,515 37 92 92.0000 16.3% 34.9 23.9
16 Benelli M3 Super 90 Combat 2,193 4,383 62,703 196 455 1.7433 199.9% 14.3 4.8
17 Steyr Aug 1,603 237 7,238 25 47 7.8333 14.8% 30.5 34.1
18 Ingram MAC-10 1,300 220 4,043 13 31 31.0000 16.9% 18.4 41.9
19 H&K MP5-Navy 1,180 242 3,501 7 22 22.0000 20.5% 14.5 53.6
20 FN Five-Seven 890 222 5,704 17 40 40.0000 24.9% 25.7 22.3
21 Fusil Automatique 647 122 3,930 14 30 30.0000 18.9% 32.2 21.6
22 H&K UMP45 617 77 1,492 3 7 7.0000 12.5% 19.4 88.1
23 Benelli/H&K M4 Super 90 XM1014 414 204 2,509 5 13 13.0000 49.3% 12.3 31.8
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 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