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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 80.54%
Members: 31 active members (75 total)
Avg. Member Points: 11,685
Total Kills: 371,870
Total Deaths: 302,075
Avg. Kills: 11,996
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 398d 08:16:40h
Avg. Connection Time: 12d 20:23:45h
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 8.75% 16,883 1.93
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,844 46d 17:13:18h 68,741 18.49% 31,298 2.20
3  Russian federation⇜Ṧ†êrvå⇝ elorank 9,117 6d 06:19:49h 4,551 1.22% 5,928 0.77
4  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.34% 11,872 0.42
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.32% 15,929 1.48
6  Russian federationубивашка 62 elorank 15,361 4d 04:10:06h 4,883 1.31% 3,479 1.40
7  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.84% 1,465 2.12
8  Russian federationИлья190RUS elorank 12,148 3d 11:05:39h 3,647 0.98% 3,143 1.16
9  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.90% 5,572 1.93
10  Russian federationzloy bober elorank 6,287 0d 17:49:52h 480 0.13% 471 1.02
11  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.73% 13,411 1.03
12  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
13  Ukrainegusenica elorank 16,468 8d 04:29:20h 8,261 2.22% 6,497 1.27
14  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.29% 775 1.38
15  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.70% 24,192 1.03
16  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.20% 5,021 0.89
17  Russian federationYota ʚɞ elorank 9,612 2d 11:45:02h 1,455 0.39% 1,928 0.75
18  Russian federationStanislav752 elorank 10,215 14d 11:22:30h 11,977 3.22% 11,369 1.05
19  Russian federationSprut elorank 8,728 2d 01:10:55h 1,630 0.44% 2,123 0.77
20  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,214 3d 09:23:14h 3,231 0.87% 3,387 0.95


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 31,243 times 31,243
2 Pick up the Bomb 26,060 times 52,120
3 Round MVP 19,075 times 0
4 Drop the Bomb 14,139 times -28278
5 Double Kill (2 kills) 11,939 times 11,939
6 Plant the Bomb 5,871 times 58,710
7 Domination 3,784 times 18,920
8 Triple Kill (3 kills) 3,029 times 6,058
9 Revenge 1,808 times 5,424
10 Start Defusing the Bomb With a Defuse Kit 767 times 0
11 Defuse the Bomb 558 times 5,580
12 Domination (4 kills) 549 times 1,647
13 Start Defusing the Bomb Without a Defuse Kit 77 times 0
14 Rampage (5 kills) 58 times 232
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 sort-descending.gif Points Bonus
1 Domination 2,943 times -14715
2 Revenge 2,220 times -6660




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,516 times 28.16%
2 Counter-Terrorist 2,634 times 21.09%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,302 6.27% 11,710 8.38% 0.50
2 Colt M4A1 Carbine 1.00 12,737 3.43% 5,727 4.10% 0.45
3 Desert Eagle .50AE 1.20 6,907 1.86% 3,748 2.68% 0.54
4 Steyr Scout 1.10 6,750 1.82% 4,073 2.92% 0.60
5 Arctic Warfare Magnum (Police) 1.00 3,060 0.82% 502 0.36% 0.16
6 High Explosive Grenade 1.80 2,815 0.76% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,163 0.58% 1,103 0.79% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,675 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,455 0.39% 644 0.46% 0.44
10 Sig Sauer P-228 1.50 1,226 0.33% 492 0.35% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,063 0.29% 475 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 829 0.22% 331 0.24% 0.40
13 Dual Beretta 96G Elite 1.40 180 0.05% 86 0.06% 0.48
14 H&K USP .45 Tactical 1.40 149 0.04% 74 0.05% 0.50
15 Galil 1.10 125 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 1.40 111 0.03% 51 0.04% 0.46
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 89 0.02% 42 0.03% 0.47
20 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 29 0.02% 0.36
21 Steyr Tactical Machine Pistol 1.50 57 0.02% 33 0.02% 0.58
22 FN Five-Seven 1.50 56 0.02% 26 0.02% 0.46
23 Fusil Automatique 1.00 45 0.01% 21 0.02% 0.47
24 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
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 sort-descending.gif Damage per Hit Shots per Kill
1 Benelli M3 Super 90 Combat 3,677 7,441 106,510 331 829 2.3822 202.4% 14.3 4.4
2 Benelli/H&K M4 Super 90 XM1014 1,465 1,007 11,716 29 81 16.2000 68.7% 11.6 18.1
3 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
4 Arctic Warfare Magnum (Police) 12,455 4,355 589,517 509 3,068 5.3636 35.0% 135.4 4.1
5 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
6 Steyr Scout 54,515 16,620 1,587,287 4,129 6,856 2.5862 30.5% 95.5 8.0
7 FN Five-Seven 1,343 365 9,741 35 68 34.0000 27.2% 26.7 19.8
8 Desert Eagle .50AE 75,324 19,986 1,051,076 4,072 7,288 4.5865 26.5% 52.6 10.3
9 Dual Beretta 96G Elite 4,580 875 24,887 86 180 60.0000 19.1% 28.4 25.4
10 Fusil Automatique 1,129 211 6,476 20 43 43.0000 18.7% 30.7 26.3
11 H&K USP .45 Tactical 5,825 1,044 21,426 73 148 7.7895 17.9% 20.5 39.4
12 H&K MP5-Navy 4,977 886 14,719 43 100 11.1111 17.8% 16.6 49.8
13 Glock 18 Select Fire 5,573 988 16,746 50 109 7.2667 17.7% 16.9 51.1
14 Ingram MAC-10 5,185 864 15,804 60 119 29.7500 16.7% 18.3 43.6
15 Sig Sauer P-228 30,446 4,986 154,314 492 1,226 25.0204 16.4% 30.9 24.8
16 Galil 3,722 534 17,592 52 125 62.5000 14.3% 32.9 29.8
17 Steyr Aug 3,256 466 13,841 42 89 11.1250 14.3% 29.7 36.6
18 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
19 Colt M4A1 Carbine 444,861 56,091 1,779,129 5,731 12,741 10.7975 12.6% 31.7 34.9
20 Kalashnikov AK-47 687,547 86,108 3,453,532 13,029 24,968 9.4361 12.5% 40.1 27.5
21 Steyr Tactical Machine Pistol 4,093 487 8,783 33 57 57.0000 11.9% 18.0 71.8
22 FN P90 74,104 8,357 194,899 644 1,456 9.5789 11.3% 23.3 50.9
23 M249 PARA Light Machine Gun 109,284 8,418 326,876 1,217 2,312 13.8443 7.7% 38.8 47.3
24 Sig Sauer SG-552 Commando 76,760 5,393 157,772 488 1,079 38.5357 7.0% 29.3 71.1
25 Bundeswehr Advanced Combat Knife 21,996 1,355 71,030 2 473 1.6773 6.2% 52.4 46.5




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 86,108 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 56,091 27.6% 59.4% 13.0%
3 Desert Eagle .50AE 19,986 25.7% 62.2% 12.1%
4 Steyr Scout 16,595 26.4% 64.9% 8.6%
5 M249 PARA Light Machine Gun 8,418 27.7% 58.5% 13.8%
6 FN P90 8,357 28.1% 56.2% 15.6%
7 Benelli M3 Super 90 Combat 7,441 29.1% 57.9% 13.0%
8 Sig Sauer SG-552 Commando 5,393 28.6% 56.3% 15.1%
9 Sig Sauer P-228 4,986 29.3% 57.1% 13.7%
10 Arctic Warfare Magnum (Police) 4,355 32.4% 57.7% 9.9%
11 H&K USP .45 Tactical 1,044 24.4% 62.9% 12.6%
12 Benelli/H&K M4 Super 90 XM1014 1,007 27.3% 56.3% 16.4%
13 Glock 18 Select Fire 988 26.7% 60.7% 12.6%
14 H&K MP5-Navy 886 28.6% 56.5% 14.9%
15 Dual Beretta 96G Elite 875 24.6% 61.6% 13.8%
16 Ingram MAC-10 864 26.7% 58.9% 14.4%
17 Galil 534 27.9% 55.4% 16.7%
18 Steyr Tactical Machine Pistol 487 25.5% 62.8% 11.7%
19 Steyr Aug 466 28.3% 56.7% 15.0%
20 FN Five-Seven 365 21.1% 64.9% 14.0%
21 H&K UMP45 270 24.8% 55.2% 20.0%
22 Fusil Automatique 211 20.4% 64.5% 15.2%
23 Bundeswehr Advanced Combat Knife 67 22.4% 71.6% 6.0%
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 / 371870 * 100, 2) AS kpercent,
			ROUND(headshots / 139672 * 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