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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 77.18%
Members: 33 active members (74 total)
Avg. Member Points: 11,234
Total Kills: 379,260
Total Deaths: 308,493
Avg. Kills: 11,493
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 405d 15:13:40h
Avg. Connection Time: 12d 07:00:24h
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♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.58% 16,883 1.93
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,965 46d 18:15:30h 68,825 18.15% 31,321 2.20
3  Russian federation⇜Ṧ†êrvå⇝ elorank 9,404 6d 09:26:00h 4,662 1.23% 6,056 0.77
4  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.32% 11,872 0.42
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.20% 15,929 1.48
6  Russian federationХЗкак elorank 9,277 5d 06:29:14h 5,800 1.53% 4,395 1.32
7  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.82% 1,465 2.12
8  Russian federationИлья190RUS elorank 12,366 3d 13:24:10h 3,742 0.99% 3,210 1.17
9  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.84% 5,572 1.93
10  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.13% 471 1.02
11  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.66% 13,411 1.03
12  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
13  Ukrainegusenica elorank 16,540 8d 07:06:19h 8,372 2.21% 6,594 1.27
14  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.28% 775 1.38
15  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.57% 24,192 1.03
16  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.17% 5,021 0.89
17  Russian federationYota ʚɞ elorank 9,712 2d 12:31:40h 1,472 0.39% 1,952 0.75
18  Russian federationStanislav752 elorank 10,708 14d 19:17:59h 12,254 3.23% 11,638 1.05
19  Russian federationSprut elorank 8,728 2d 01:10:55h 1,630 0.43% 2,123 0.77
20  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,227 3d 09:51:28h 3,247 0.86% 3,410 0.95


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) 52 times 208
6 Start Defusing the Bomb Without a Defuse Kit 59 times 0
7 Defuse the Bomb 457 times 4,570
8 Domination (4 kills) 483 times 1,449
9 Start Defusing the Bomb With a Defuse Kit 669 times 0
10 Revenge 1,710 times 5,130
11 Triple Kill (3 kills) 2,683 times 5,366
12 Domination 3,407 times 17,035
13 Plant the Bomb 5,585 times 55,850
14 Double Kill (2 kills) 10,783 times 10,783
15 Drop the Bomb 13,633 times -27266
16 Round MVP 17,478 times 0
17 Pick up the Bomb 25,037 times 50,074
18 Headshot 28,276 times 28,276




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 2,018 times -6054
2 Domination 2,772 times -13860




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,312 times 28.71%
2 Counter-Terrorist 2,335 times 20.24%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 21,719 5.73% 10,807 7.56% 0.50
2 Colt M4A1 Carbine 1.00 11,184 2.95% 4,923 3.44% 0.44
3 Steyr Scout 1.10 6,207 1.64% 3,659 2.56% 0.59
4 Desert Eagle .50AE 1.20 5,877 1.55% 3,082 2.15% 0.52
5 Arctic Warfare Magnum (Police) 1.00 2,715 0.72% 425 0.30% 0.16
6 High Explosive Grenade 1.80 2,387 0.63% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,028 0.53% 1,013 0.71% 0.50
8 Bundeswehr Advanced Combat Knife 2.00 1,494 0.39% 2 0.00% 0.00
9 FN P90 1.20 1,460 0.38% 644 0.45% 0.44
10 Sig Sauer P-228 1.50 1,258 0.33% 515 0.36% 0.41
11 Sig Sauer SG-552 Commando 1.00 1,022 0.27% 454 0.32% 0.44
12 Benelli M3 Super 90 Combat 1.20 796 0.21% 317 0.22% 0.40
13 Dual Beretta 96G Elite 1.40 194 0.05% 93 0.07% 0.48
14 H&K USP .45 Tactical 1.40 150 0.04% 74 0.05% 0.49
15 Galil 1.10 124 0.03% 52 0.04% 0.42
16 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
17 Glock 18 Select Fire 1.40 112 0.03% 53 0.04% 0.47
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 78 0.02% 28 0.02% 0.36
20 Steyr Aug 1.00 73 0.02% 34 0.02% 0.47
21 FN Five-Seven 1.50 57 0.02% 28 0.02% 0.49
22 Steyr Tactical Machine Pistol 1.50 53 0.01% 30 0.02% 0.57
23 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
24 Fusil Automatique 1.00 29 0.01% 12 0.01% 0.41
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-47 643,514 80,387 3,223,694 12,127 23,387 9.8930 12.5% 40.1 27.5
2 Colt M4A1 Carbine 412,271 50,060 1,571,434 4,931 11,195 10.7027 12.1% 31.4 36.8
3 Steyr Scout 50,958 15,209 1,452,223 3,719 6,316 2.6471 29.8% 95.5 8.1
4 Desert Eagle .50AE 64,620 17,109 895,843 3,408 6,260 4.4147 26.5% 52.4 10.3
5 Arctic Warfare Magnum (Police) 11,406 3,899 518,230 432 2,723 5.4243 34.2% 132.9 4.2
6 M249 PARA Light Machine Gun 106,575 7,996 307,220 1,127 2,177 13.7785 7.5% 38.4 49.0
7 FN P90 74,442 8,370 195,216 644 1,460 9.8649 11.2% 23.3 51.0
8 Sig Sauer P-228 31,548 5,173 160,062 515 1,258 22.4643 16.4% 30.9 25.1
9 Sig Sauer SG-552 Commando 75,638 5,189 151,223 467 1,038 41.5200 6.9% 29.1 72.9
10 Benelli M3 Super 90 Combat 3,539 7,152 102,010 317 796 2.3620 202.1% 14.3 4.4
11 Bundeswehr Advanced Combat Knife 21,576 1,285 66,522 2 444 1.6087 6.0% 51.8 48.6
12 Dual Beretta 96G Elite 5,013 972 26,820 93 194 64.6667 19.4% 27.6 25.8
13 H&K USP .45 Tactical 5,374 984 20,622 73 149 7.8421 18.3% 21.0 36.1
14 Galil 3,693 530 17,452 52 124 62.0000 14.4% 32.9 29.8
15 Ingram MAC-10 5,173 864 15,804 60 119 29.7500 16.7% 18.3 43.5
16 Glock 18 Select Fire 5,438 989 17,013 52 110 7.3333 18.2% 17.2 49.4
17 H&K MP5-Navy 4,812 855 14,170 41 98 10.8889 17.8% 16.6 49.1
18 Benelli/H&K M4 Super 90 XM1014 1,436 986 11,456 28 78 15.6000 68.7% 11.6 18.4
19 Steyr Aug 2,722 373 11,319 34 73 14.6000 13.7% 30.3 37.3
20 FN Five-Seven 1,330 371 9,929 37 69 34.5000 27.9% 26.8 19.3
21 Steyr Tactical Machine Pistol 3,391 452 8,135 30 53 53.0000 13.3% 18.0 64.0
22 H&K UMP45 2,041 270 5,449 16 34 17.0000 13.2% 20.2 60.0
23 Fusil Automatique 780 147 4,388 11 27 27.0000 18.8% 29.9 28.9
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 80,387 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 50,060 28.0% 58.7% 13.3%
3 Desert Eagle .50AE 17,109 26.0% 61.5% 12.6%
4 Steyr Scout 15,184 26.4% 64.8% 8.8%
5 FN P90 8,370 28.2% 56.1% 15.8%
6 M249 PARA Light Machine Gun 7,996 28.0% 57.9% 14.1%
7 Benelli M3 Super 90 Combat 7,152 29.2% 57.8% 13.0%
8 Sig Sauer SG-552 Commando 5,189 28.8% 56.0% 15.1%
9 Sig Sauer P-228 5,173 29.1% 57.0% 13.9%
10 Arctic Warfare Magnum (Police) 3,899 32.6% 57.7% 9.7%
11 Glock 18 Select Fire 989 26.0% 61.5% 12.5%
12 Benelli/H&K M4 Super 90 XM1014 986 27.2% 56.3% 16.5%
13 H&K USP .45 Tactical 984 23.8% 62.8% 13.4%
14 Dual Beretta 96G Elite 972 25.8% 60.4% 13.8%
15 Ingram MAC-10 864 26.7% 58.9% 14.4%
16 H&K MP5-Navy 855 29.4% 56.3% 14.4%
17 Galil 530 28.1% 55.5% 16.4%
18 Steyr Tactical Machine Pistol 452 26.8% 62.8% 10.4%
19 Steyr Aug 373 28.2% 56.0% 15.8%
20 FN Five-Seven 371 20.5% 65.8% 13.7%
21 H&K UMP45 270 24.8% 55.2% 20.0%
22 Fusil Automatique 147 21.1% 61.9% 17.0%
23 Bundeswehr Advanced Combat Knife 62 24.2% 71.0% 4.8%
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 / 379260 * 100, 2) AS kpercent,
			ROUND(headshots / 143018 * 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