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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 81.33%
Members: 30 active members (74 total)
Avg. Member Points: 11,700
Total Kills: 368,404
Total Deaths: 298,995
Avg. Kills: 12,280
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 394d 09:10:52h
Avg. Connection Time: 13d 03:30:21h
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 8.83% 16,883 1.93
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,390 46d 13:13:09h 68,524 18.60% 31,203 2.20
3  Russian federation⇜Ṧ†êrvå⇝ elorank 9,051 6d 02:07:09h 4,429 1.20% 5,770 0.77
4  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.36% 11,872 0.42
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.38% 15,929 1.48
6  Russian federationубивашка 62 elorank 14,827 3d 18:23:48h 4,388 1.19% 3,152 1.39
7  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.84% 1,465 2.12
8  Russian federationИлья190RUS elorank 12,006 3d 09:53:12h 3,601 0.98% 3,106 1.16
9  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.93% 5,572 1.93
10  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.76% 13,411 1.03
11  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
12  Ukrainegusenica elorank 15,910 7d 09:14:58h 7,465 2.03% 5,888 1.27
13  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.29% 775 1.38
14  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.76% 24,192 1.03
15  Russian federationavpvovan elorank 9,783 5d 19:58:36h 4,434 1.20% 5,009 0.89
16  Russian federationYota >ヮ< elorank 7,874 1d 21:38:00h 1,045 0.28% 1,454 0.72
17  Russian federationStanislav752 elorank 9,653 14d 00:21:59h 11,556 3.14% 10,991 1.05
18  Russian federationSprut elorank 8,442 1d 23:17:18h 1,568 0.43% 2,047 0.77
19  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,822 3d 06:39:57h 3,117 0.85% 3,278 0.95
20  Russian federationShalfeYka elorank 9,274 1d 14:17:13h 1,386 0.38% 1,397 0.99


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 30,930 times 30,930
2 Pick up the Bomb 25,833 times 51,666
3 Round MVP 18,978 times 0
4 Drop the Bomb 13,897 times -27794
5 Double Kill (2 kills) 11,873 times 11,873
6 Plant the Bomb 5,838 times 58,380
7 Domination 3,801 times 19,005
8 Triple Kill (3 kills) 3,004 times 6,008
9 Revenge 1,791 times 5,373
10 Start Defusing the Bomb With a Defuse Kit 755 times 0
11 Defuse the Bomb 556 times 5,560
12 Domination (4 kills) 543 times 1,629
13 Start Defusing the Bomb Without a Defuse Kit 77 times 0
14 Rampage (5 kills) 62 times 248
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 2,896 times -14480
2 Revenge 2,238 times -6714




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 3,441 times 28.14%
2 Counter-Terrorist 2,580 times 21.10%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-ascending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
3 Fusil Automatique 1.00 46 0.01% 21 0.02% 0.46
4 FN Five-Seven 1.50 57 0.02% 27 0.02% 0.47
5 Steyr Tactical Machine Pistol 1.50 67 0.02% 36 0.03% 0.54
6 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 28 0.02% 0.35
7 Steyr Aug 1.00 91 0.02% 43 0.03% 0.47
8 H&K MP5-Navy 1.20 103 0.03% 44 0.03% 0.43
9 Glock 18 Select Fire 1.40 113 0.03% 52 0.04% 0.46
10 Galil 1.10 122 0.03% 50 0.04% 0.41
11 Ingram MAC-10 1.50 125 0.03% 62 0.04% 0.50
12 H&K USP .45 Tactical 1.40 149 0.04% 73 0.05% 0.49
13 Dual Beretta 96G Elite 1.40 180 0.05% 85 0.06% 0.47
14 Benelli M3 Super 90 Combat 1.20 835 0.23% 329 0.24% 0.39
15 Sig Sauer SG-552 Commando 1.00 1,067 0.29% 478 0.35% 0.45
16 Sig Sauer P-228 1.50 1,167 0.32% 469 0.34% 0.40
17 FN P90 1.20 1,486 0.40% 642 0.47% 0.43
18 Bundeswehr Advanced Combat Knife 2.00 1,649 0.45% 2 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 2,079 0.56% 1,063 0.77% 0.51
20 High Explosive Grenade 1.80 2,740 0.74% 0 0.00% 0.00
21 Arctic Warfare Magnum (Police) 1.00 3,023 0.82% 495 0.36% 0.16
22 Steyr Scout 1.10 6,518 1.77% 3,915 2.84% 0.60
23 Desert Eagle .50AE 1.20 6,652 1.81% 3,613 2.62% 0.54
24 Colt M4A1 Carbine 1.00 12,809 3.48% 5,726 4.15% 0.45
25 Kalashnikov AK-47 1.00 23,442 6.36% 11,761 8.52% 0.50




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
3 H&K UMP45 2,094 279 5,557 16 35 17.5000 13.3% 19.9 59.8
4 Fusil Automatique 1,149 216 6,577 20 44 44.0000 18.8% 30.4 26.1
5 Steyr Tactical Machine Pistol 4,073 560 10,043 36 67 67.0000 13.7% 17.9 60.8
6 FN Five-Seven 1,363 372 9,904 36 69 23.0000 27.3% 26.6 19.8
7 Benelli/H&K M4 Super 90 XM1014 1,476 1,017 11,775 28 81 13.5000 68.9% 11.6 18.2
8 Steyr Aug 3,286 472 14,065 43 91 11.3750 14.4% 29.8 36.1
9 H&K MP5-Navy 5,021 891 14,769 43 101 10.1000 17.7% 16.6 49.7
10 Glock 18 Select Fire 5,491 990 16,800 51 111 7.4000 18.0% 17.0 49.5
11 Galil 3,479 516 16,977 50 122 61.0000 14.8% 32.9 28.5
12 Ingram MAC-10 5,220 874 16,065 61 122 24.4000 16.7% 18.4 42.8
13 H&K USP .45 Tactical 5,747 1,032 21,183 72 148 7.4000 18.0% 20.5 38.8
14 Dual Beretta 96G Elite 4,591 878 24,854 85 180 60.0000 19.1% 28.3 25.5
15 Bundeswehr Advanced Combat Knife 20,891 1,383 72,709 2 482 1.7591 6.6% 52.6 43.3
16 Benelli M3 Super 90 Combat 3,740 7,549 107,399 329 835 2.3389 201.8% 14.2 4.5
17 Sig Sauer SG-552 Commando 76,869 5,412 158,419 491 1,083 38.6786 7.0% 29.3 71.0
18 Sig Sauer P-228 29,041 4,771 147,268 469 1,167 24.3125 16.4% 30.9 24.9
19 FN P90 74,471 8,452 196,431 642 1,486 9.7763 11.3% 23.2 50.1
20 M249 PARA Light Machine Gun 103,725 8,099 314,640 1,177 2,228 14.8533 7.8% 38.8 46.6
21 Arctic Warfare Magnum (Police) 12,231 4,285 581,100 502 3,031 5.3551 35.0% 135.6 4.0
22 Steyr Scout 51,697 16,057 1,532,929 3,963 6,605 2.5730 31.1% 95.5 7.8
23 Desert Eagle .50AE 72,311 19,238 1,015,812 3,937 7,033 4.6331 26.6% 52.8 10.3
24 Colt M4A1 Carbine 442,518 56,231 1,784,585 5,730 12,813 10.9513 12.7% 31.7 34.5
25 Kalashnikov AK-47 685,562 86,626 3,470,129 13,078 25,106 9.4065 12.6% 40.1 27.3




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
2 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
3 Bundeswehr Advanced Combat Knife 67 16.4% 77.6% 6.0%
4 Fusil Automatique 216 21.3% 63.9% 14.8%
5 H&K UMP45 279 26.2% 53.8% 20.1%
6 FN Five-Seven 372 21.0% 65.1% 14.0%
7 Steyr Aug 472 28.4% 56.4% 15.3%
8 Galil 516 27.7% 55.4% 16.9%
9 Steyr Tactical Machine Pistol 560 25.9% 63.8% 10.4%
10 Ingram MAC-10 874 26.5% 59.0% 14.4%
11 Dual Beretta 96G Elite 878 24.7% 61.5% 13.8%
12 H&K MP5-Navy 891 28.7% 56.5% 14.8%
13 Glock 18 Select Fire 990 26.6% 60.8% 12.6%
14 Benelli/H&K M4 Super 90 XM1014 1,017 27.2% 56.2% 16.5%
15 H&K USP .45 Tactical 1,032 25.7% 62.0% 12.3%
16 Arctic Warfare Magnum (Police) 4,285 32.2% 58.2% 9.6%
17 Sig Sauer P-228 4,771 29.3% 57.1% 13.6%
18 Sig Sauer SG-552 Commando 5,412 28.5% 56.3% 15.2%
19 Benelli M3 Super 90 Combat 7,549 28.9% 57.9% 13.1%
20 M249 PARA Light Machine Gun 8,099 27.6% 58.7% 13.7%
21 FN P90 8,452 28.3% 56.3% 15.4%
22 Steyr Scout 16,032 26.5% 65.0% 8.5%
23 Desert Eagle .50AE 19,238 25.7% 62.3% 12.0%
24 Colt M4A1 Carbine 56,231 27.6% 59.3% 13.0%
25 Kalashnikov AK-47 86,626 26.8% 59.8% 13.5%


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 / 368404 * 100, 2) AS kpercent,
			ROUND(headshots / 138045 * 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