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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: 11,661
Total Kills: 346,868
Total Deaths: 298,228
Avg. Kills: 11,961
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 387d 23:10:40h
Avg. Connection Time: 13d 09:04:30h
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 19.90% 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 17,734 5d 14:26:26h 6,706 1.93% 4,492 1.49
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.78% 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 sort-descending.gif Points Bonus
1 Headshot 26,729 times 26,729
2 Pick up the Bomb 22,652 times 45,304
3 Round MVP 16,883 times 0
4 Drop the Bomb 12,551 times -25102
5 Double Kill (2 kills) 10,680 times 10,680
6 Plant the Bomb 4,725 times 47,250
7 Domination 3,305 times 16,525
8 Triple Kill (3 kills) 2,540 times 5,080
9 Revenge 1,654 times 4,962
10 Start Defusing the Bomb With a Defuse Kit 692 times 0
11 Defuse the Bomb 499 times 4,990
12 Domination (4 kills) 450 times 1,350
13 Start Defusing the Bomb Without a Defuse Kit 65 times 0
14 Rampage (5 kills) 48 times 192
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 4 times 20
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-descending.gif
1 Revenge 1,939 times -5817
2 Domination 2,658 times -13290




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,406 times 21.51%
2 Terrorist 3,128 times 27.96%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 19,145 5.52% 9,707 7.39% 0.51
2 Colt M4A1 Carbine 1.00 11,667 3.36% 5,266 4.01% 0.45
3 Desert Eagle .50AE 1.20 6,448 1.86% 3,599 2.74% 0.56
4 Steyr Scout 1.10 5,902 1.70% 3,708 2.82% 0.63
5 High Explosive Grenade 1.80 2,487 0.72% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,400 0.69% 397 0.30% 0.17
7 M249 PARA Light Machine Gun 1.20 2,176 0.63% 1,062 0.81% 0.49
8 Bundeswehr Advanced Combat Knife 2.00 1,652 0.48% 2 0.00% 0.00
9 FN P90 1.20 1,554 0.45% 689 0.52% 0.44
10 Sig Sauer P-228 1.50 1,250 0.36% 529 0.40% 0.42
11 Sig Sauer SG-552 Commando 1.00 965 0.28% 428 0.33% 0.44
12 Benelli M3 Super 90 Combat 1.20 638 0.18% 268 0.20% 0.42
13 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 0.46
14 H&K USP .45 Tactical 1.40 134 0.04% 67 0.05% 0.50
15 Galil 1.10 120 0.03% 50 0.04% 0.42
16 Ingram MAC-10 1.50 119 0.03% 59 0.04% 0.50
17 H&K MP5-Navy 1.20 105 0.03% 46 0.04% 0.44
18 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
19 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
20 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
21 Steyr Tactical Machine Pistol 1.50 59 0.02% 30 0.02% 0.51
22 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
23 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
24 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
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 Kills per Death Accuracy Damage per Hit Shots per Kill sort-descending.gif
1 Sig Sauer SG-552 Commando 74,133 4,978 143,947 441 981 37.7308 6.7% 28.9 75.6
2 Steyr Tactical Machine Pistol 4,010 502 8,977 29 58 58.0000 12.5% 17.9 69.1
3 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
4 M249 PARA Light Machine Gun 113,208 8,393 315,999 1,114 2,234 13.2189 7.4% 37.7 50.7
5 Glock 18 Select Fire 5,194 901 15,897 50 103 6.8667 17.3% 17.6 50.4
6 FN P90 76,882 8,789 205,959 689 1,554 10.1569 11.4% 23.4 49.5
7 H&K MP5-Navy 4,960 905 15,133 45 103 11.4444 18.2% 16.7 48.2
8 Ingram MAC-10 5,038 844 15,369 58 116 29.0000 16.8% 18.2 43.4
9 H&K USP .45 Tactical 5,128 930 19,158 66 133 10.2308 18.1% 20.6 38.6
10 Steyr Aug 3,010 428 12,647 40 81 11.5714 14.2% 29.5 37.2
11 Colt M4A1 Carbine 413,466 51,596 1,637,881 5,263 11,664 10.9316 12.5% 31.7 35.4
12 Bundeswehr Advanced Combat Knife 12,054 1,158 60,557 2 403 1.7446 9.6% 52.3 29.9
13 Kalashnikov AK-47 582,815 69,434 2,746,435 10,135 19,674 9.3419 11.9% 39.6 29.6
14 Galil 3,410 500 16,691 50 120 60.0000 14.7% 33.4 28.4
15 Sig Sauer P-228 33,771 5,229 160,866 529 1,250 23.1481 15.5% 30.8 27.0
16 Fusil Automatique 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
17 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
18 FN Five-Seven 1,360 334 8,810 29 60 30.0000 24.6% 26.4 22.7
19 Benelli/H&K M4 Super 90 XM1014 1,346 924 10,916 28 75 15.0000 68.6% 11.8 17.9
20 Desert Eagle .50AE 70,212 18,118 943,087 3,633 6,488 4.3602 25.8% 52.1 10.8
21 Steyr Scout 47,335 14,221 1,358,697 3,701 5,896 2.3967 30.0% 95.5 8.0
22 Benelli M3 Super 90 Combat 2,875 5,800 83,874 268 638 2.1267 201.7% 14.5 4.5
23 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
24 Arctic Warfare Magnum (Police) 10,029 3,468 466,604 404 2,408 5.0695 34.6% 134.5 4.2
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 69,434 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 51,596 27.8% 59.1% 13.0%
3 Desert Eagle .50AE 18,118 26.2% 61.7% 12.2%
4 Steyr Scout 14,196 26.4% 64.9% 8.7%
5 FN P90 8,789 28.0% 56.4% 15.6%
6 M249 PARA Light Machine Gun 8,393 28.3% 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 / 346868 * 100, 2) AS kpercent,
			ROUND(headshots / 131371 * 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