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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 77.93%
Members: 29 active members (72 total)
Avg. Member Points: 11,519
Total Kills: 362,746
Total Deaths: 294,189
Avg. Kills: 12,508
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 388d 16:47:34h
Avg. Connection Time: 13d 09:40:57h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points sort-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,390 46d 13:13:09h 68,524 18.89% 31,203 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.97% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.87% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.97% 16,883 1.93
5  Ukrainegusenica elorank 15,433 6d 22:16:24h 7,028 1.94% 5,491 1.28
6  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.30% 12,150 1.58
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.19% 10,412 1.11
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.18% 3,263 1.31
9  Russian federationKAZANTIP elorank 12,812 49d 19:52:15h 41,958 11.57% 38,533 1.09
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.86% 1,465 2.12
11  Russian federationИлья190RUS elorank 11,949 3d 07:27:28h 3,472 0.96% 3,010 1.15
12  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.84% 15,207 1.15
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.82% 13,411 1.03
14  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.48% 15,929 1.48
15  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,822 3d 06:39:50h 3,117 0.86% 3,278 0.95
16  Russian federationavpvovan elorank 9,783 5d 19:58:36h 4,434 1.22% 5,009 0.89
17  Russian federationStanislav752 elorank 9,653 14d 00:21:59h 11,556 3.19% 10,991 1.05
18  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.50% 22,106 0.90
19  Russian federationShalfeYka elorank 9,274 1d 14:17:13h 1,386 0.38% 1,397 0.99
20  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.45% 18,072 0.89


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 28,743 times 28,743
2 Pick up the Bomb 25,007 times 50,014
3 Round MVP 17,580 times 0
4 Drop the Bomb 13,375 times -26750
5 Double Kill (2 kills) 11,032 times 11,032
6 Plant the Bomb 5,713 times 57,130
7 Domination 3,590 times 17,950
8 Triple Kill (3 kills) 2,834 times 5,668
9 Revenge 1,683 times 5,049
10 Start Defusing the Bomb With a Defuse Kit 671 times 0
11 Domination (4 kills) 520 times 1,560
12 Defuse the Bomb 473 times 4,730
13 Start Defusing the Bomb Without a Defuse Kit 59 times 0
14 Rampage (5 kills) 59 times 236
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 2 times 10
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,720 times -13600
2 Revenge 2,109 times -6327




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,271 times 20.09%
2 Terrorist 3,275 times 28.98%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 22,875 6.31% 11,393 8.42% 0.50
2 Colt M4A1 Carbine 1.00 11,632 3.21% 5,136 3.80% 0.44
3 Steyr Scout 1.10 5,712 1.57% 3,425 2.53% 0.60
4 Desert Eagle .50AE 1.20 5,595 1.54% 2,947 2.18% 0.53
5 Arctic Warfare Magnum (Police) 1.00 2,802 0.77% 448 0.33% 0.16
6 High Explosive Grenade 1.80 2,417 0.67% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,074 0.57% 1,068 0.79% 0.51
8 FN P90 1.20 1,563 0.43% 664 0.49% 0.42
9 Bundeswehr Advanced Combat Knife 2.00 1,477 0.41% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,153 0.32% 461 0.34% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,042 0.29% 467 0.35% 0.45
12 Benelli M3 Super 90 Combat 1.20 816 0.22% 320 0.24% 0.39
13 Dual Beretta 96G Elite 1.40 173 0.05% 81 0.06% 0.47
14 H&K USP .45 Tactical 1.40 139 0.04% 70 0.05% 0.50
15 Ingram MAC-10 1.50 126 0.03% 62 0.05% 0.49
16 Galil 1.10 110 0.03% 47 0.03% 0.43
17 H&K MP5-Navy 1.20 101 0.03% 42 0.03% 0.42
18 Glock 18 Select Fire 1.40 101 0.03% 49 0.04% 0.49
19 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 27 0.02% 0.35
20 Steyr Aug 1.00 77 0.02% 36 0.03% 0.47
21 Steyr Tactical Machine Pistol 1.50 66 0.02% 36 0.03% 0.55
22 FN Five-Seven 1.50 44 0.01% 23 0.02% 0.52
23 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
24 Fusil Automatique 1.00 30 0.01% 12 0.01% 0.40
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 76,280 5,276 154,313 480 1,058 42.3200 6.9% 29.2 72.1
2 H&K UMP45 2,076 276 5,507 16 34 17.0000 13.3% 20.0 61.1
3 Steyr Tactical Machine Pistol 3,785 550 9,941 36 66 66.0000 14.5% 18.1 57.3
4 Glock 18 Select Fire 4,942 874 15,177 48 99 6.6000 17.7% 17.4 49.9
5 FN P90 77,524 8,838 204,697 664 1,563 9.8302 11.4% 23.2 49.6
6 H&K MP5-Navy 4,874 867 14,367 41 99 9.9000 17.8% 16.6 49.2
7 M249 PARA Light Machine Gun 102,210 8,015 314,430 1,182 2,223 14.3419 7.8% 39.2 46.0
8 Ingram MAC-10 5,281 891 16,344 61 123 24.6000 16.9% 18.3 42.9
9 Steyr Aug 2,868 391 11,842 36 77 15.4000 13.6% 30.3 37.2
10 H&K USP .45 Tactical 5,081 922 19,324 69 138 7.2632 18.1% 21.0 36.8
11 Colt M4A1 Carbine 416,093 51,481 1,628,673 5,144 11,643 11.1844 12.4% 31.6 35.7
12 Galil 3,130 467 15,459 47 110 55.0000 14.9% 33.1 28.5
13 Kalashnikov AK-47 671,418 84,527 3,387,952 12,712 24,542 9.8050 12.6% 40.1 27.4
14 Fusil Automatique 757 145 4,296 11 28 28.0000 19.2% 29.6 27.0
15 Bundeswehr Advanced Combat Knife 12,509 1,373 71,719 2 479 1.9237 11.0% 52.2 26.1
16 Dual Beretta 96G Elite 4,409 853 23,897 81 173 57.6667 19.3% 28.0 25.5
17 Sig Sauer P-228 28,842 4,706 145,010 461 1,153 24.0208 16.3% 30.8 25.0
18 FN Five-Seven 1,123 297 7,685 32 56 18.6667 26.4% 25.9 20.1
19 Benelli/H&K M4 Super 90 XM1014 1,428 965 11,273 27 77 12.8333 67.6% 11.7 18.5
20 Desert Eagle .50AE 60,781 16,271 858,320 3,273 5,978 4.5083 26.8% 52.8 10.2
21 Steyr Scout 43,856 13,950 1,343,156 3,478 5,804 2.6502 31.8% 96.3 7.6
22 Benelli M3 Super 90 Combat 3,624 7,368 105,022 320 816 2.3652 203.3% 14.3 4.4
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) 11,506 4,010 538,324 455 2,810 5.4038 34.9% 134.2 4.1
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 84,527 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 51,481 27.8% 59.0% 13.2%
3 Desert Eagle .50AE 16,271 26.1% 61.7% 12.3%
4 Steyr Scout 13,925 26.5% 65.1% 8.3%
5 FN P90 8,838 28.6% 56.0% 15.5%
6 M249 PARA Light Machine Gun 8,015 27.5% 58.9% 13.6%
7 Benelli M3 Super 90 Combat 7,368 29.0% 57.9% 13.1%
8 Sig Sauer SG-552 Commando 5,276 28.6% 56.2% 15.2%
9 Sig Sauer P-228 4,706 29.2% 57.0% 13.8%
10 Arctic Warfare Magnum (Police) 4,010 32.2% 58.6% 9.3%
11 Benelli/H&K M4 Super 90 XM1014 965 27.3% 55.9% 16.9%
12 H&K USP .45 Tactical 922 25.2% 61.9% 12.9%
13 Ingram MAC-10 891 26.7% 59.1% 14.1%
14 Glock 18 Select Fire 874 26.1% 62.1% 11.8%
15 H&K MP5-Navy 867 29.6% 55.9% 14.4%
16 Dual Beretta 96G Elite 853 25.1% 61.0% 14.0%
17 Steyr Tactical Machine Pistol 550 25.8% 64.4% 9.8%
18 Galil 467 27.2% 56.7% 16.1%
19 Steyr Aug 391 28.4% 55.5% 16.1%
20 FN Five-Seven 297 20.5% 66.0% 13.5%
21 H&K UMP45 276 26.4% 53.6% 19.9%
22 Fusil Automatique 145 20.7% 63.4% 15.9%
23 Bundeswehr Advanced Combat Knife 62 17.7% 75.8% 6.5%
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 / 362746 * 100, 2) AS kpercent,
			ROUND(headshots / 135273 * 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