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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.25%
Members: 28 active members (73 total)
Avg. Member Points: 11,700
Total Kills: 368,744
Total Deaths: 307,067
Avg. Kills: 13,169
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 402d 10:10:06h
Avg. Connection Time: 14d 08:56:04h
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 2.51% 14,654 0.63
2  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.36% 11,872 0.42
3  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.60% 7,910 0.75
4  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.13% 471 1.02
5  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
6  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.29% 775 1.38
7  Russian federationSprut elorank 9,060 2d 03:06:42h 1,688 0.46% 2,193 0.77
8  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.38% 18,072 0.89
9  Russian federation⇜Ṧ†êrvå⇝ elorank 9,374 6d 12:51:11h 4,734 1.28% 6,186 0.77
10  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.41% 22,106 0.90
11  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.21% 5,036 0.88
12  Russian federationBISON elorank 10,010 7d 22:42:28h 5,230 1.42% 7,894 0.66
13  Russian federationShalfeYka elorank 10,238 1d 22:48:31h 1,696 0.46% 1,717 0.99
14  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,292 3d 10:16:59h 3,267 0.89% 3,432 0.95
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.37% 15,929 1.48
16  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.76% 13,411 1.03
17  Russian federationStanislav752 elorank 10,974 15d 08:22:52h 12,733 3.45% 12,058 1.06
18  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.76% 15,207 1.15
19  Russian federationИлья190RUS elorank 12,528 3d 16:10:37h 3,856 1.05% 3,327 1.16
20  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.84% 1,465 2.12


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Mega Kill (6 kills) 2 times 10
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 44 times 176
6 Start Defusing the Bomb Without a Defuse Kit 50 times 0
7 Domination (4 kills) 400 times 1,200
8 Defuse the Bomb 401 times 4,010
9 Start Defusing the Bomb With a Defuse Kit 600 times 0
10 Revenge 1,559 times 4,677
11 Triple Kill (3 kills) 2,308 times 4,616
12 Domination 3,002 times 15,010
13 Plant the Bomb 4,617 times 46,170
14 Double Kill (2 kills) 9,598 times 9,598
15 Drop the Bomb 12,359 times -24718
16 Round MVP 15,345 times 0
17 Pick up the Bomb 22,166 times 44,332
18 Headshot 24,609 times 24,609




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,512 times -12560
2 Revenge 1,770 times -5310




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,992 times 28.88%
2 Counter-Terrorist 2,093 times 20.20%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 18,878 5.12% 9,448 6.89% 0.50
2 Colt M4A1 Carbine 1.00 9,960 2.70% 4,397 3.21% 0.44
3 Desert Eagle .50AE 1.20 5,205 1.41% 2,821 2.06% 0.54
4 Steyr Scout 1.10 5,122 1.39% 3,089 2.25% 0.60
5 Arctic Warfare Magnum (Police) 1.00 2,157 0.58% 330 0.24% 0.15
6 M249 PARA Light Machine Gun 1.20 2,044 0.55% 1,007 0.73% 0.49
7 High Explosive Grenade 1.80 2,041 0.55% 0 0.00% 0.00
8 FN P90 1.20 1,496 0.41% 657 0.48% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,417 0.38% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,242 0.34% 521 0.38% 0.42
11 Sig Sauer SG-552 Commando 1.00 966 0.26% 433 0.32% 0.45
12 Benelli M3 Super 90 Combat 1.20 622 0.17% 258 0.19% 0.41
13 Dual Beretta 96G Elite 1.40 219 0.06% 100 0.07% 0.46
14 H&K USP .45 Tactical 1.40 132 0.04% 68 0.05% 0.52
15 Galil 1.10 125 0.03% 53 0.04% 0.42
16 Ingram MAC-10 1.50 118 0.03% 59 0.04% 0.50
17 Glock 18 Select Fire 1.40 103 0.03% 50 0.04% 0.49
18 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
19 Benelli/H&K M4 Super 90 XM1014 1.10 76 0.02% 27 0.02% 0.36
20 Steyr Aug 1.00 66 0.02% 32 0.02% 0.48
21 FN Five-Seven 1.50 57 0.02% 28 0.02% 0.49
22 Steyr Tactical Machine Pistol 1.50 49 0.01% 27 0.02% 0.55
23 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
24 Fusil Automatique 1.00 23 0.01% 9 0.01% 0.39
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-47 583,134 69,461 2,762,684 10,279 19,924 9.9471 11.9% 39.8 29.3
2 Colt M4A1 Carbine 379,072 44,811 1,409,074 4,398 9,964 10.7371 11.8% 31.4 38.0
3 Desert Eagle .50AE 56,659 14,863 779,300 2,995 5,410 4.2465 26.2% 52.4 10.5
4 Steyr Scout 41,796 12,338 1,173,692 3,093 5,138 2.5051 29.5% 95.1 8.1
5 Arctic Warfare Magnum (Police) 9,326 3,153 413,329 337 2,165 5.2043 33.8% 131.1 4.3
6 M249 PARA Light Machine Gun 107,735 7,886 299,558 1,065 2,108 12.8537 7.3% 38.0 51.1
7 FN P90 74,952 8,476 198,051 657 1,496 10.1769 11.3% 23.4 50.1
8 Sig Sauer P-228 31,877 5,072 157,540 521 1,242 23.0000 15.9% 31.1 25.7
9 Sig Sauer SG-552 Commando 74,256 4,962 143,677 446 982 42.6957 6.7% 29.0 75.6
10 Benelli M3 Super 90 Combat 2,791 5,647 81,762 258 622 2.0596 202.3% 14.5 4.5
11 Bundeswehr Advanced Combat Knife 12,252 1,210 61,612 2 411 1.7197 9.9% 50.9 29.8
12 Dual Beretta 96G Elite 5,443 1,090 30,085 100 219 73.0000 20.0% 27.6 24.9
13 H&K USP .45 Tactical 4,610 834 17,895 67 131 10.0769 18.1% 21.5 35.2
14 Galil 3,684 529 17,485 53 125 62.5000 14.4% 33.1 29.5
15 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
16 Glock 18 Select Fire 4,980 883 15,549 49 101 6.7333 17.7% 17.6 49.3
17 H&K MP5-Navy 4,722 855 14,170 41 98 10.8889 18.1% 16.6 48.2
18 Benelli/H&K M4 Super 90 XM1014 1,349 936 11,044 27 76 15.2000 69.4% 11.8 17.8
19 Steyr Aug 2,617 349 10,412 33 67 16.7500 13.3% 29.8 39.1
20 FN Five-Seven 1,210 319 8,515 29 58 29.0000 26.4% 26.7 20.9
21 Steyr Tactical Machine Pistol 2,986 412 7,361 26 48 48.0000 13.8% 17.9 62.2
22 H&K UMP45 2,034 267 5,399 16 33 16.5000 13.1% 20.2 61.6
23 Fusil Automatique 670 115 3,484 8 21 21.0000 17.2% 30.3 31.9
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
25 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 69,461 26.9% 59.4% 13.7%
2 Colt M4A1 Carbine 44,811 28.1% 58.6% 13.3%
3 Desert Eagle .50AE 14,863 26.1% 61.5% 12.5%
4 Steyr Scout 12,313 26.6% 64.6% 8.8%
5 FN P90 8,476 28.2% 56.2% 15.6%
6 M249 PARA Light Machine Gun 7,886 28.2% 57.3% 14.5%
7 Benelli M3 Super 90 Combat 5,647 29.7% 57.5% 12.8%
8 Sig Sauer P-228 5,072 28.9% 57.2% 13.8%
9 Sig Sauer SG-552 Commando 4,962 28.9% 55.8% 15.3%
10 Arctic Warfare Magnum (Police) 3,153 32.8% 57.4% 9.8%
11 Dual Beretta 96G Elite 1,090 25.0% 61.3% 13.7%
12 Benelli/H&K M4 Super 90 XM1014 936 27.1% 56.4% 16.5%
13 Glock 18 Select Fire 883 26.0% 62.5% 11.4%
14 H&K MP5-Navy 855 29.4% 56.3% 14.4%
15 H&K USP .45 Tactical 834 24.3% 62.6% 13.1%
16 Ingram MAC-10 826 26.6% 59.0% 14.4%
17 Galil 529 28.2% 55.4% 16.4%
18 Steyr Tactical Machine Pistol 412 27.2% 63.1% 9.7%
19 Steyr Aug 349 28.4% 55.3% 16.3%
20 FN Five-Seven 319 23.2% 61.8% 15.0%
21 H&K UMP45 267 25.1% 55.1% 19.9%
22 Fusil Automatique 115 20.0% 64.3% 15.7%
23 Bundeswehr Advanced Combat Knife 57 22.8% 70.2% 7.0%
24 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
25 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 / 368744 * 100, 2) AS kpercent,
			ROUND(headshots / 137043 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map asc,
			kills asc