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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.13%
Members: 29 active members (75 total)
Avg. Member Points: 11,672
Total Kills: 346,974
Total Deaths: 298,314
Avg. Kills: 11,965
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 388d 01:31:08h
Avg. Connection Time: 13d 09:09:20h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name sort-descending.gif Rank Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,787 46d 21:12:43h 69,011 19.89% 31,407 2.20
2  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.37% 6,243 0.76
3  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.44% 11,872 0.42
4  Russian federationубивашка 62 elorank 17,820 5d 15:36:42h 6,780 1.95% 4,532 1.50
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.77% 15,929 1.48
6  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.90% 1,465 2.12
7  Russian federationИлья190RUS elorank 12,673 3d 19:17:12h 3,977 1.15% 3,458 1.15
8  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.11% 5,572 1.93
9  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.84% 2,272 1.28
10  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.14% 471 1.02
11  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 4.00% 13,411 1.03
12  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.24% 754 1.08
13  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.31% 775 1.38
14  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.18% 24,192 1.03
15  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.28% 5,036 0.88
16  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.73% 12,310 1.05
17  Russian federationSprut elorank 9,306 2d 04:35:36h 1,743 0.50% 2,249 0.78
18  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,147 3d 12:31:06h 3,352 0.97% 3,521 0.95
19  Russian federationShalfeYka elorank 9,929 2d 00:54:08h 1,783 0.51% 1,789 1.00
20  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.33% 10,412 1.11


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-ascending.gif
1 Drop the Bomb 12,568 times -25136
2 Kill a Hostage 18 times -270
3 Round MVP 16,915 times 0
4 Start Defusing the Bomb With a Defuse Kit 696 times 0
5 Start Defusing the Bomb Without a Defuse Kit 65 times 0
6 Touch a Hostage 4 times 0
7 Rescue a Hostage 1 times 5
8 Mega Kill (6 kills) 4 times 20
9 Rampage (5 kills) 48 times 192
10 Domination (4 kills) 450 times 1,350
11 Revenge 1,659 times 4,977
12 Defuse the Bomb 503 times 5,030
13 Triple Kill (3 kills) 2,548 times 5,096
14 Double Kill (2 kills) 10,701 times 10,701
15 Domination 3,314 times 16,570
16 Headshot 26,780 times 26,780
17 Pick up the Bomb 22,685 times 45,370
18 Plant the Bomb 4,732 times 47,320




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,663 times -13315
2 Revenge 1,945 times -5835




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,129 times 27.96%
2 Counter-Terrorist 2,407 times 21.51%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots sort-descending.gif Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 19,176 5.53% 9,721 7.40% 0.51
2 Colt M4A1 Carbine 1.00 11,694 3.37% 5,279 4.02% 0.45
3 Steyr Scout 1.10 5,914 1.70% 3,717 2.83% 0.63
4 Desert Eagle .50AE 1.20 6,471 1.86% 3,612 2.75% 0.56
5 M249 PARA Light Machine Gun 1.20 2,180 0.63% 1,064 0.81% 0.49
6 FN P90 1.20 1,554 0.45% 689 0.52% 0.44
7 Sig Sauer P-228 1.50 1,250 0.36% 529 0.40% 0.42
8 Sig Sauer SG-552 Commando 1.00 965 0.28% 428 0.33% 0.44
9 Arctic Warfare Magnum (Police) 1.00 2,400 0.69% 397 0.30% 0.17
10 Benelli M3 Super 90 Combat 1.20 638 0.18% 268 0.20% 0.42
11 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 0.46
12 H&K USP .45 Tactical 1.40 134 0.04% 67 0.05% 0.50
13 Ingram MAC-10 1.50 119 0.03% 59 0.04% 0.50
14 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
15 Galil 1.10 120 0.03% 50 0.04% 0.42
16 H&K MP5-Navy 1.20 105 0.03% 46 0.04% 0.44
17 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
18 Steyr Tactical Machine Pistol 1.50 59 0.02% 30 0.02% 0.51
19 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
20 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
21 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
22 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
23 Bundeswehr Advanced Combat Knife 2.00 1,654 0.48% 2 0.00% 0.00
24 High Explosive Grenade 1.80 2,495 0.72% 0 0.00% 0.00
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-47 583,712 69,553 2,750,643 10,148 19,704 9.3428 11.9% 39.5 29.6
2 Colt M4A1 Carbine 414,128 51,704 1,641,409 5,276 11,691 10.9569 12.5% 31.7 35.4
3 Desert Eagle .50AE 70,382 18,168 945,929 3,646 6,511 4.3523 25.8% 52.1 10.8
4 Steyr Scout 47,445 14,255 1,361,558 3,710 5,908 2.3871 30.0% 95.5 8.0
5 Arctic Warfare Magnum (Police) 10,029 3,468 466,604 404 2,408 5.0695 34.6% 134.5 4.2
6 M249 PARA Light Machine Gun 113,339 8,410 316,597 1,116 2,238 13.2426 7.4% 37.6 50.6
7 FN P90 76,882 8,789 205,959 689 1,554 10.1569 11.4% 23.4 49.5
8 Sig Sauer P-228 33,771 5,229 160,866 529 1,250 23.1481 15.5% 30.8 27.0
9 Sig Sauer SG-552 Commando 74,133 4,978 143,947 441 981 37.7308 6.7% 28.9 75.6
10 Benelli M3 Super 90 Combat 2,875 5,800 83,874 268 638 2.1267 201.7% 14.5 4.5
11 Bundeswehr Advanced Combat Knife 12,054 1,158 60,557 2 403 1.7446 9.6% 52.3 29.9
12 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
13 H&K USP .45 Tactical 5,130 930 19,158 66 133 10.2308 18.1% 20.6 38.6
14 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
15 Ingram MAC-10 5,038 844 15,369 58 116 29.0000 16.8% 18.2 43.4
16 H&K MP5-Navy 4,960 905 15,133 45 103 11.4444 18.2% 16.7 48.2
17 Glock 18 Select Fire 5,194 901 15,897 50 103 6.8667 17.3% 17.6 50.4
18 Steyr Aug 3,010 428 12,647 40 81 11.5714 14.2% 29.5 37.2
19 Benelli/H&K M4 Super 90 XM1014 1,346 924 10,916 28 75 15.0000 68.6% 11.8 17.9
20 FN Five-Seven 1,360 334 8,810 29 60 30.0000 24.6% 26.4 22.7
21 Steyr Tactical Machine Pistol 4,010 502 8,977 29 58 58.0000 12.5% 17.9 69.1
22 Fusil Automatique 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
23 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
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 69,553 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 51,704 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 18,168 26.2% 61.7% 12.2%
4 Steyr Scout 14,230 26.4% 64.9% 8.7%
5 FN P90 8,789 28.0% 56.4% 15.6%
6 M249 PARA Light Machine Gun 8,410 28.2% 57.3% 14.5%
7 Benelli M3 Super 90 Combat 5,800 29.7% 57.3% 13.0%
8 Sig Sauer P-228 5,229 28.6% 57.7% 13.7%
9 Sig Sauer SG-552 Commando 4,978 28.7% 56.0% 15.3%
10 Arctic Warfare Magnum (Police) 3,468 32.6% 57.6% 9.8%
11 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
12 H&K USP .45 Tactical 930 25.1% 62.7% 12.3%
13 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
14 H&K MP5-Navy 905 28.4% 56.8% 14.8%
15 Glock 18 Select Fire 901 26.5% 62.2% 11.3%
16 Ingram MAC-10 844 26.4% 58.4% 15.2%
17 Steyr Tactical Machine Pistol 502 25.7% 63.1% 11.2%
18 Galil 500 28.8% 55.6% 15.6%
19 Steyr Aug 428 27.8% 57.2% 15.0%
20 FN Five-Seven 334 23.7% 62.0% 14.4%
21 H&K UMP45 269 26.4% 53.5% 20.1%
22 Fusil Automatique 214 22.0% 63.6% 14.5%
23 Bundeswehr Advanced Combat Knife 53 24.5% 67.9% 7.5%
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 / 346974 * 100, 2) AS kpercent,
			ROUND(headshots / 131421 * 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