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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 80.75%
Members: 29 active members (72 total)
Avg. Member Points: 11,302
Total Kills: 343,887
Total Deaths: 280,981
Avg. Kills: 11,858
Kills per Death: 1.22
Kills per Minute: 0.64
Total Connection Time: 373d 15:24:32h
Avg. Connection Time: 12d 21:13:15h
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 34,758 46d 02:35:43h 67,940 19.76% 30,966 2.19
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.13% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:11:12h 24,921 7.25% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 9.46% 16,883 1.93
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.36% 10,412 1.11
6  Russian federationKAZANTIP elorank 13,929 49d 14:39:26h 41,790 12.15% 38,342 1.09
7  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.24% 3,263 1.31
8  Russian federationубивашка 62 elorank 12,903 2d 17:14:47h 3,224 0.94% 2,320 1.39
9  PolandПопугайчик Тоша elorank 12,490 2d 00:35:28h 2,999 0.87% 1,411 2.13
10  Ukrainegusenica elorank 12,323 3d 08:04:42h 3,305 0.96% 2,801 1.18
11  Russian federationИлья190RUS elorank 12,302 2d 20:07:15h 3,003 0.87% 2,605 1.15
12  Russian federationAnapskiy elorank 12,093 19d 03:25:27h 17,470 5.08% 15,141 1.15
13  Azerbaijan☣฿ Ř ₳ ฿ U Š☣ elorank 11,195 13d 23:52:19h 9,770 2.84% 10,235 0.95
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 4.03% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.84% 15,929 1.48
16  Russian federationLoony elorank 9,816 29d 16:37:35h 19,566 5.69% 21,652 0.90
17  Russian federationavpvovan elorank 9,802 5d 19:15:12h 4,409 1.28% 4,984 0.88
18  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,661 2d 21:43:29h 2,758 0.80% 2,903 0.95
19  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.70% 18,072 0.89
20  Russian federation⇜Ṧ†êrvå⇝ elorank 9,014 5d 14:49:30h 4,085 1.19% 5,337 0.77


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 5,396 times 53,960
2 Pick up the Bomb 23,713 times 47,426
3 Headshot 31,255 times 31,255
4 Domination 4,139 times 20,695
5 Double Kill (2 kills) 12,682 times 12,682
6 Triple Kill (3 kills) 3,336 times 6,672
7 Defuse the Bomb 664 times 6,640
8 Revenge 1,548 times 4,644
9 Domination (4 kills) 597 times 1,791
10 Rampage (5 kills) 65 times 260
11 Mega Kill (6 kills) 5 times 25
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 18 times 0
14 Start Defusing the Bomb Without a Defuse Kit 97 times 0
15 Start Defusing the Bomb With a Defuse Kit 870 times 0
16 Round MVP 19,495 times 0
17 Kill a Hostage 21 times -315
18 Drop the Bomb 12,391 times -24782




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,646 times -13230
2 Revenge 2,338 times -7014




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,568 times 24.71%
2 Counter-Terrorist 3,336 times 23.11%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 24,326 7.07% 11,867 9.48% 0.49
2 Colt M4A1 Carbine 1.00 15,972 4.64% 7,196 5.75% 0.45
3 Desert Eagle .50AE 1.20 6,572 1.91% 3,251 2.60% 0.49
4 Steyr Scout 1.10 5,181 1.51% 3,030 2.42% 0.58
5 Arctic Warfare Magnum (Police) 1.00 3,246 0.94% 530 0.42% 0.16
6 High Explosive Grenade 1.80 2,969 0.86% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 1,941 0.56% 1,040 0.83% 0.54
8 Bundeswehr Advanced Combat Knife 2.00 1,714 0.50% 4 0.00% 0.00
9 FN P90 1.20 1,482 0.43% 635 0.51% 0.43
10 Sig Sauer SG-552 Commando 1.00 1,223 0.36% 546 0.44% 0.45
11 Sig Sauer P-228 1.50 1,017 0.30% 398 0.32% 0.39
12 Benelli M3 Super 90 Combat 1.20 941 0.27% 351 0.28% 0.37
13 Ingram MAC-10 1.50 186 0.05% 82 0.07% 0.44
14 H&K USP .45 Tactical 1.40 141 0.04% 73 0.06% 0.52
15 Steyr Aug 1.00 130 0.04% 54 0.04% 0.42
16 Dual Beretta 96G Elite 1.40 121 0.04% 53 0.04% 0.44
17 Glock 18 Select Fire 1.40 108 0.03% 46 0.04% 0.43
18 Steyr Tactical Machine Pistol 1.50 105 0.03% 54 0.04% 0.51
19 H&K MP5-Navy 1.20 101 0.03% 43 0.03% 0.43
20 Benelli/H&K M4 Super 90 XM1014 1.10 82 0.02% 31 0.02% 0.38
21 Galil 1.10 72 0.02% 28 0.02% 0.39
22 FN Five-Seven 1.50 43 0.01% 23 0.02% 0.53
23 H&K UMP45 1.20 40 0.01% 18 0.01% 0.45
24 Fusil Automatique 1.00 34 0.01% 15 0.01% 0.44
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-47 686,157 89,355 3,585,039 13,182 25,978 9.2383 13.0% 40.1 26.4
2 Colt M4A1 Carbine 501,330 68,126 2,197,470 7,193 15,961 11.8055 13.6% 32.3 31.4
3 Desert Eagle .50AE 68,922 19,104 984,156 3,574 6,946 4.9403 27.7% 51.5 9.9
4 Steyr Scout 36,199 12,935 1,221,502 3,079 5,265 2.9137 35.7% 94.4 6.9
5 Arctic Warfare Magnum (Police) 12,800 4,664 631,458 537 3,255 5.5641 36.4% 135.4 3.9
6 M249 PARA Light Machine Gun 84,723 7,245 294,181 1,154 2,090 14.7183 8.6% 40.6 40.5
7 FN P90 70,098 8,370 192,507 635 1,482 9.4395 11.9% 23.0 47.3
8 Sig Sauer SG-552 Commando 79,457 5,959 177,370 559 1,238 38.6875 7.5% 29.8 64.2
9 Sig Sauer P-228 26,619 4,208 126,819 398 1,017 24.2143 15.8% 30.1 26.2
10 Benelli M3 Super 90 Combat 4,007 8,527 120,772 350 940 2.6331 212.8% 14.2 4.3
11 Bundeswehr Advanced Combat Knife 12,008 1,496 81,348 4 550 2.7500 12.5% 54.4 21.8
12 Ingram MAC-10 7,233 1,333 24,198 81 183 36.6000 18.4% 18.2 39.5
13 H&K USP .45 Tactical 5,626 1,028 20,876 72 140 6.6667 18.3% 20.3 40.2
14 Steyr Aug 3,852 631 18,493 53 128 21.3333 16.4% 29.3 30.1
15 Dual Beretta 96G Elite 3,128 605 16,720 53 121 40.3333 19.3% 27.6 25.9
16 Glock 18 Select Fire 4,854 924 15,689 45 106 7.0667 19.0% 17.0 45.8
17 Steyr Tactical Machine Pistol 4,931 804 14,696 54 105 52.5000 16.3% 18.3 47.0
18 H&K MP5-Navy 4,881 868 14,558 42 99 9.9000 17.8% 16.8 49.3
19 Benelli/H&K M4 Super 90 XM1014 1,432 992 11,486 31 82 16.4000 69.3% 11.6 17.5
20 Galil 2,615 325 9,903 28 72 72.0000 12.4% 30.5 36.3
21 FN Five-Seven 1,136 272 7,230 31 54 18.0000 23.9% 26.6 21.0
22 H&K UMP45 2,234 317 6,283 18 39 19.5000 14.2% 19.8 57.3
23 Fusil Automatique 807 155 4,616 14 32 32.0000 19.2% 29.8 25.2
24 H&K G3/SG1 Sniper Rifle 38 10 1,742 6 7 7.0000 26.3% 174.2 5.4




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 89,355 26.7% 59.7% 13.6%
2 Colt M4A1 Carbine 68,126 27.2% 59.8% 13.1%
3 Desert Eagle .50AE 19,104 26.2% 61.2% 12.6%
4 Steyr Scout 12,935 26.8% 65.1% 8.1%
5 Benelli M3 Super 90 Combat 8,527 28.7% 58.0% 13.3%
6 FN P90 8,370 28.9% 55.5% 15.6%
7 M249 PARA Light Machine Gun 7,245 27.2% 59.6% 13.2%
8 Sig Sauer SG-552 Commando 5,959 28.0% 57.0% 15.0%
9 Arctic Warfare Magnum (Police) 4,664 32.4% 58.6% 9.1%
10 Sig Sauer P-228 4,208 29.8% 56.2% 14.0%
11 Ingram MAC-10 1,333 27.4% 59.6% 13.0%
12 H&K USP .45 Tactical 1,028 25.6% 62.2% 12.3%
13 Benelli/H&K M4 Super 90 XM1014 992 26.7% 55.9% 17.3%
14 Glock 18 Select Fire 924 26.4% 61.1% 12.4%
15 H&K MP5-Navy 868 28.9% 56.3% 14.7%
16 Steyr Tactical Machine Pistol 804 25.1% 64.1% 10.8%
17 Steyr Aug 631 26.9% 56.9% 16.2%
18 Dual Beretta 96G Elite 605 25.6% 59.5% 14.9%
19 Galil 325 32.3% 50.5% 17.2%
20 H&K UMP45 317 25.9% 53.9% 20.2%
21 FN Five-Seven 272 20.2% 65.4% 14.3%
22 Fusil Automatique 155 21.3% 63.9% 14.8%
23 Bundeswehr Advanced Combat Knife 73 19.2% 74.0% 6.8%
24 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 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 / 343887 * 100, 2) AS kpercent,
			ROUND(headshots / 125202 * 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