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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.38%
Members: 26 active members (75 total)
Avg. Member Points: 11,822
Total Kills: 303,710
Total Deaths: 261,564
Avg. Kills: 11,681
Kills per Death: 1.16
Kills per Minute: 0.63
Total Connection Time: 335d 09:45:29h
Avg. Connection Time: 12d 21:36:21h
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-ascending.gif
1  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,434 13d 21:02:15h 5,015 1.65% 11,939 0.42
2  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 3.05% 14,654 0.63
3  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.97% 8,932 0.67
4  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.95% 7,910 0.75
5  Russian federation⇜Ṧ†êrvå⇝ elorank 9,453 6d 15:07:48h 4,782 1.57% 6,259 0.76
6  Russian federationSprut elorank 9,461 2d 08:05:45h 1,855 0.61% 2,393 0.78
7  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 5.32% 18,072 0.89
8  Russian federationavpvovan elorank 9,984 5d 21:14:18h 4,483 1.48% 5,055 0.89
9  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,555 3d 22:07:29h 3,816 1.26% 3,940 0.97
10  Russian federationShalfeYka elorank 10,893 3d 00:37:41h 2,670 0.88% 2,745 0.97
11  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.16% 471 1.02
12  Russian federationStanislav752 elorank 10,111 17d 03:50:33h 13,938 4.59% 13,621 1.02
13  Ukrainerimuru elorank 10,904 14d 06:21:03h 13,939 4.59% 13,480 1.03
14  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 8.21% 24,192 1.03
15  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.27% 754 1.08
16  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 13.88% 38,713 1.09
17  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.81% 10,412 1.11
18  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.78% 15,207 1.15
19  Russian federationИлья190RUS elorank 12,920 4d 00:32:53h 4,193 1.38% 3,648 1.15
20  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.96% 2,272 1.28


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 23,019 times 23,019
2 Pick up the Bomb 19,369 times 38,738
3 Round MVP 14,711 times 0
4 Drop the Bomb 11,205 times -22410
5 Double Kill (2 kills) 9,242 times 9,242
6 Plant the Bomb 3,534 times 35,340
7 Domination 2,789 times 13,945
8 Triple Kill (3 kills) 2,163 times 4,326
9 Revenge 1,488 times 4,464
10 Start Defusing the Bomb With a Defuse Kit 559 times 0
11 Defuse the Bomb 464 times 4,640
12 Domination (4 kills) 368 times 1,104
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 Times Victimized sort-descending.gif Points Bonus
1 Domination 2,341 times -11705
2 Revenge 1,647 times -4941




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 2,640 times 27.07%
2 Counter-Terrorist 2,189 times 22.45%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 14,891 4.90% 7,766 6.86% 0.52
2 Colt M4A1 Carbine 1.00 10,310 3.39% 4,746 4.19% 0.46
3 Desert Eagle .50AE 1.20 5,896 1.94% 3,382 2.99% 0.57
4 Steyr Scout 1.10 5,395 1.78% 3,394 3.00% 0.63
5 M249 PARA Light Machine Gun 1.20 2,227 0.73% 1,058 0.93% 0.48
6 High Explosive Grenade 1.80 2,157 0.71% 0 0.00% 0.00
7 Arctic Warfare Magnum (Police) 1.00 2,024 0.67% 344 0.30% 0.17
8 FN P90 1.20 1,784 0.59% 784 0.69% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,496 0.49% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,304 0.43% 559 0.49% 0.43
11 Sig Sauer SG-552 Commando 1.00 803 0.26% 349 0.31% 0.43
12 Benelli M3 Super 90 Combat 1.20 519 0.17% 227 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 1.40 123 0.04% 64 0.06% 0.52
15 Galil 1.10 111 0.04% 45 0.04% 0.41
16 Glock 18 Select Fire 1.40 81 0.03% 39 0.03% 0.48
17 Ingram MAC-10 1.50 66 0.02% 27 0.02% 0.41
18 Steyr Aug 1.00 64 0.02% 31 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 42 0.01% 14 0.01% 0.33
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-47 506,515 53,817 2,100,546 7,758 14,881 8.8210 10.6% 39.0 34.0
2 Colt M4A1 Carbine 358,256 45,509 1,448,090 4,743 10,307 11.8881 12.7% 31.8 34.8
3 Desert Eagle .50AE 64,139 16,341 857,141 3,379 5,892 4.0945 25.5% 52.5 10.9
4 Steyr Scout 44,635 13,197 1,237,448 3,387 5,389 2.2305 29.6% 93.8 8.3
5 M249 PARA Light Machine Gun 113,250 8,461 312,062 1,059 2,228 13.0292 7.5% 36.9 50.8
6 Arctic Warfare Magnum (Police) 8,599 2,933 393,213 344 2,025 4.9270 34.1% 134.1 4.2
7 FN P90 84,235 10,064 234,776 784 1,784 10.5562 11.9% 23.3 47.2
8 Sig Sauer P-228 35,345 5,590 170,981 559 1,304 21.0323 15.8% 30.6 27.1
9 Sig Sauer SG-552 Commando 60,325 4,062 117,512 349 804 34.9565 6.7% 28.9 75.0
10 Benelli M3 Super 90 Combat 2,484 4,941 71,273 227 519 1.8339 198.9% 14.4 4.8
11 Bundeswehr Advanced Combat Knife 9,273 1,043 55,589 2 368 1.6429 11.2% 53.3 25.2
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 4,744 903 18,118 63 122 8.7143 19.0% 20.1 38.9
14 Galil 2,908 452 15,227 45 111 55.5000 15.5% 33.7 26.2
15 Glock 18 Select Fire 4,678 745 12,663 38 79 5.2667 15.9% 17.0 59.2
16 Steyr Aug 2,582 344 10,458 32 65 8.1250 13.3% 30.4 39.7
17 Ingram MAC-10 2,377 425 7,582 26 63 63.0000 17.9% 17.8 37.7
18 FN Five-Seven 1,363 337 9,023 31 61 30.5000 24.7% 26.8 22.3
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 2,185 483 7,447 19 45 9.0000 22.1% 15.4 48.6
21 Fusil Automatique 1,142 191 6,089 20 45 45.0000 16.7% 31.9 25.4
22 Benelli/H&K M4 Super 90 XM1014 826 525 6,089 14 42 8.4000 63.6% 11.6 19.7
23 H&K UMP45 1,772 221 4,457 14 27 13.5000 12.5% 20.2 65.6
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 221 24.4% 53.8% 21.7%
2 Benelli/H&K M4 Super 90 XM1014 525 29.9% 52.0% 18.1%
3 FN P90 10,064 28.1% 56.1% 15.8%
4 H&K MP5-Navy 483 28.2% 56.5% 15.3%
5 M249 PARA Light Machine Gun 8,461 28.4% 56.6% 15.0%
6 Sig Sauer SG-552 Commando 4,062 29.5% 55.7% 14.8%
7 Galil 452 27.2% 58.2% 14.6%
8 FN Five-Seven 337 23.7% 61.7% 14.5%
9 Steyr Aug 344 28.5% 57.3% 14.2%
10 Kalashnikov AK-47 53,817 27.2% 58.7% 14.1%
11 Dual Beretta 96G Elite 1,015 25.0% 61.2% 13.8%
12 Sig Sauer P-228 5,590 28.8% 57.6% 13.7%
13 Fusil Automatique 191 23.6% 62.8% 13.6%
14 Ingram MAC-10 425 25.9% 60.7% 13.4%
15 Colt M4A1 Carbine 45,509 27.9% 59.0% 13.1%
16 Benelli M3 Super 90 Combat 4,941 29.5% 57.5% 13.0%
17 H&K USP .45 Tactical 903 25.8% 61.4% 12.8%
18 Desert Eagle .50AE 16,341 26.1% 61.9% 12.0%
19 Glock 18 Select Fire 745 26.0% 62.7% 11.3%
20 Steyr Tactical Machine Pistol 379 26.4% 62.5% 11.1%
21 Arctic Warfare Magnum (Police) 2,933 33.0% 57.0% 10.0%
22 Steyr Scout 13,172 26.7% 64.4% 8.9%
23 Bundeswehr Advanced Combat Knife 53 26.4% 67.9% 5.7%
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 / 303710 * 100, 2) AS kpercent,
			ROUND(headshots / 113166 * 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