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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 71.88%
Members: 27 active members (75 total)
Avg. Member Points: 11,840
Total Kills: 307,585
Total Deaths: 264,423
Avg. Kills: 11,392
Kills per Death: 1.16
Kills per Minute: 0.63
Total Connection Time: 340d 02:19:22h
Avg. Connection Time: 12d 14:18:29h
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-ascending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 3.01% 14,654 0.63
2  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,434 13d 21:02:15h 5,015 1.63% 11,939 0.42
3  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.92% 7,910 0.75
4  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.16% 471 1.02
5  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.27% 754 1.08
6  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.35% 775 1.38
7  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 5.25% 18,072 0.89
8  Russian federationSprut elorank 9,297 2d 07:23:43h 1,829 0.59% 2,359 0.78
9  Russian federation⇜Ṧ†êrvå⇝ elorank 9,417 6d 14:50:02h 4,772 1.55% 6,252 0.76
10  Russian federationStanislav752 elorank 9,892 17d 02:20:48h 13,888 4.52% 13,560 1.02
11  Russian federationavpvovan elorank 9,984 5d 21:14:18h 4,483 1.46% 5,055 0.89
12  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.95% 2,272 1.28
13  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,555 3d 22:07:29h 3,816 1.24% 3,940 0.97
14  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 4.52% 13,456 1.03
15  Russian federationShalfeYka elorank 10,835 2d 20:29:04h 2,519 0.82% 2,555 0.99
16  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.95% 8,932 0.67
17  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.71% 15,207 1.15
18  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 1.01% 1,465 2.12
19  Russian federationИлья190RUS elorank 12,920 4d 00:32:53h 4,193 1.36% 3,648 1.15
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.39% 3,263 1.31


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 23,011 times 23,011
2 Pick up the Bomb 19,405 times 38,810
3 Round MVP 14,606 times 0
4 Drop the Bomb 11,202 times -22404
5 Double Kill (2 kills) 9,247 times 9,247
6 Plant the Bomb 3,562 times 35,620
7 Domination 2,790 times 13,950
8 Triple Kill (3 kills) 2,182 times 4,364
9 Revenge 1,477 times 4,431
10 Start Defusing the Bomb With a Defuse Kit 542 times 0
11 Defuse the Bomb 452 times 4,520
12 Domination (4 kills) 369 times 1,107
13 Start Defusing the Bomb Without a Defuse Kit 56 times 0
14 Rampage (5 kills) 41 times 164
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 3 times 15
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action sort-ascending.gif Times Victimized Points Bonus
1 Domination 2,329 times -11645
2 Revenge 1,649 times -4947




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,168 times 22.28%
2 Terrorist 2,646 times 27.20%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 15,050 4.89% 7,840 6.86% 0.52
2 Colt M4A1 Carbine 1.00 10,221 3.32% 4,699 4.11% 0.46
3 Desert Eagle .50AE 1.20 5,890 1.91% 3,373 2.95% 0.57
4 Steyr Scout 1.10 5,422 1.76% 3,401 2.98% 0.63
5 M249 PARA Light Machine Gun 1.20 2,209 0.72% 1,049 0.92% 0.47
6 High Explosive Grenade 1.80 2,154 0.70% 0 0.00% 0.00
7 Arctic Warfare Magnum (Police) 1.00 2,025 0.66% 344 0.30% 0.17
8 FN P90 1.20 1,722 0.56% 759 0.66% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,483 0.48% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,301 0.42% 558 0.49% 0.43
11 Sig Sauer SG-552 Commando 1.00 802 0.26% 349 0.31% 0.44
12 Benelli M3 Super 90 Combat 1.20 516 0.17% 225 0.20% 0.44
13 Dual Beretta 96G Elite 1.40 204 0.07% 96 0.08% 0.47
14 H&K USP .45 Tactical 1.40 122 0.04% 65 0.06% 0.53
15 Galil 1.10 111 0.04% 45 0.04% 0.41
16 Glock 18 Select Fire 1.40 82 0.03% 40 0.04% 0.49
17 Ingram MAC-10 1.50 66 0.02% 27 0.02% 0.41
18 Steyr Aug 1.00 66 0.02% 32 0.03% 0.48
19 FN Five-Seven 1.50 60 0.02% 30 0.03% 0.50
20 Steyr Tactical Machine Pistol 1.50 49 0.02% 22 0.02% 0.45
21 H&K MP5-Navy 1.20 47 0.02% 20 0.02% 0.43
22 Fusil Automatique 1.00 47 0.02% 21 0.02% 0.45
23 Benelli/H&K M4 Super 90 XM1014 1.10 43 0.01% 15 0.01% 0.35
24 H&K UMP45 1.20 28 0.01% 14 0.01% 0.50
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 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-47 507,196 54,284 2,121,688 7,832 15,040 8.7799 10.7% 39.1 33.7
2 Colt M4A1 Carbine 354,877 45,073 1,434,515 4,696 10,218 11.8814 12.7% 31.8 34.7
3 Desert Eagle .50AE 64,132 16,336 855,921 3,370 5,886 4.1334 25.5% 52.4 10.9
4 Steyr Scout 44,790 13,260 1,243,032 3,394 5,416 2.2427 29.6% 93.7 8.3
5 M249 PARA Light Machine Gun 112,928 8,404 309,542 1,050 2,210 12.9240 7.4% 36.8 51.1
6 Arctic Warfare Magnum (Police) 8,614 2,934 393,321 344 2,026 4.9175 34.1% 134.1 4.3
7 FN P90 82,227 9,729 226,811 759 1,722 11.1097 11.8% 23.3 47.8
8 Sig Sauer P-228 35,261 5,571 170,408 558 1,301 20.9839 15.8% 30.6 27.1
9 Sig Sauer SG-552 Commando 60,302 4,057 117,397 349 803 34.9130 6.7% 28.9 75.1
10 Benelli M3 Super 90 Combat 2,474 4,912 70,788 225 516 1.8363 198.5% 14.4 4.8
11 Bundeswehr Advanced Combat Knife 9,229 1,029 54,846 2 363 1.6351 11.1% 53.3 25.4
12 Dual Beretta 96G Elite 5,155 1,015 28,387 96 204 102.0000 19.7% 28.0 25.3
13 H&K USP .45 Tactical 4,687 882 17,886 64 121 9.3077 18.8% 20.3 38.7
14 Galil 2,908 452 15,227 45 111 55.5000 15.5% 33.7 26.2
15 Glock 18 Select Fire 4,719 756 12,822 39 80 5.3333 16.0% 17.0 59.0
16 Steyr Aug 2,616 355 10,736 33 67 8.3750 13.6% 30.2 39.0
17 Ingram MAC-10 2,377 425 7,582 26 63 63.0000 17.9% 17.8 37.7
18 FN Five-Seven 1,344 335 8,987 31 61 30.5000 24.9% 26.8 22.0
19 Steyr Tactical Machine Pistol 2,938 379 6,594 21 48 48.0000 12.9% 17.4 61.2
20 H&K MP5-Navy 2,161 476 7,371 19 45 9.0000 22.0% 15.5 48.0
21 Fusil Automatique 1,149 195 6,161 20 45 45.0000 17.0% 31.6 25.5
22 Benelli/H&K M4 Super 90 XM1014 861 546 6,337 15 43 8.6000 63.4% 11.6 20.0
23 H&K UMP45 1,856 222 4,509 14 27 13.5000 12.0% 20.3 68.7
24 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
25 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0




  Weapon Targets *

Rank Weapon Hits Left Middle Right sort-descending.gif
1 H&K UMP45 222 24.3% 54.1% 21.6%
2 Benelli/H&K M4 Super 90 XM1014 546 29.5% 52.9% 17.6%
3 FN P90 9,729 28.2% 56.0% 15.8%
4 Steyr Aug 355 27.9% 56.6% 15.5%
5 H&K MP5-Navy 476 27.9% 56.7% 15.3%
6 M249 PARA Light Machine Gun 8,404 28.3% 56.7% 15.0%
7 Sig Sauer SG-552 Commando 4,057 29.5% 55.7% 14.8%
8 Galil 452 27.2% 58.2% 14.6%
9 FN Five-Seven 335 23.9% 61.8% 14.3%
10 Kalashnikov AK-47 54,284 27.2% 58.8% 14.0%
11 Dual Beretta 96G Elite 1,015 25.0% 61.2% 13.8%
12 Sig Sauer P-228 5,571 28.8% 57.5% 13.7%
13 Ingram MAC-10 425 25.9% 60.7% 13.4%
14 Fusil Automatique 195 23.1% 63.6% 13.3%
15 Colt M4A1 Carbine 45,073 27.9% 59.1% 13.1%
16 H&K USP .45 Tactical 882 25.6% 61.3% 13.0%
17 Benelli M3 Super 90 Combat 4,912 29.6% 57.4% 13.0%
18 Desert Eagle .50AE 16,336 26.2% 61.8% 12.0%
19 Glock 18 Select Fire 756 26.2% 62.6% 11.2%
20 Steyr Tactical Machine Pistol 379 26.4% 62.5% 11.1%
21 Arctic Warfare Magnum (Police) 2,934 33.0% 57.0% 10.0%
22 Steyr Scout 13,235 26.7% 64.4% 8.9%
23 Bundeswehr Advanced Combat Knife 52 25.0% 69.2% 5.8%
24 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
25 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 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 / 307585 * 100, 2) AS kpercent,
			ROUND(headshots / 114275 * 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