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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 82.51%
Members: 31 active members (74 total)
Avg. Member Points: 11,445
Total Kills: 370,931
Total Deaths: 300,232
Avg. Kills: 11,966
Kills per Death: 1.24
Kills per Minute: 0.65
Total Connection Time: 399d 05:48:08h
Avg. Connection Time: 12d 21:05:25h
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 34,405 46d 08:53:52h 68,271 18.41% 31,102 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.91% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.72% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.77% 16,883 1.93
5  Russian federationDiM4iK elorank 14,895 16d 09:33:01h 19,143 5.16% 12,118 1.58
6  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.12% 10,412 1.11
7  Ukrainegusenica elorank 14,413 5d 17:50:00h 5,868 1.58% 4,618 1.27
8  Russian federationKAZANTIP elorank 13,147 49d 17:00:19h 41,879 11.29% 38,440 1.09
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.15% 3,263 1.31
10  Russian federationубивашка 62 elorank 12,801 3d 04:07:10h 3,672 0.99% 2,693 1.36
11  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.84% 1,465 2.12
12  Russian federationAnapskiy elorank 12,185 19d 03:44:27h 17,491 4.72% 15,149 1.15
13  Russian federationИлья190RUS elorank 11,999 3d 04:30:33h 3,375 0.91% 2,907 1.16
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.74% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.34% 15,929 1.48
16  Azerbaijan☣฿ Ř ₳ ฿ U Š☣ elorank 10,408 15d 07:45:04h 10,679 2.88% 11,147 0.96
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,876 3d 03:41:49h 2,999 0.81% 3,155 0.95
18  Russian federationavpvovan elorank 9,793 5d 19:32:04h 4,423 1.19% 4,992 0.89
19  Russian federationStanislav752 elorank 9,774 13d 22:31:56h 11,503 3.10% 10,922 1.05
20  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.37% 22,106 0.90


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) 4 times 20
3 Touch a Hostage 18 times 0
4 Kill a Hostage 21 times -315
5 Rampage (5 kills) 65 times 260
6 Start Defusing the Bomb Without a Defuse Kit 103 times 0
7 Domination (4 kills) 593 times 1,779
8 Defuse the Bomb 648 times 6,480
9 Start Defusing the Bomb With a Defuse Kit 842 times 0
10 Revenge 1,590 times 4,770
11 Triple Kill (3 kills) 3,252 times 6,504
12 Domination 4,030 times 20,150
13 Plant the Bomb 5,434 times 54,340
14 Double Kill (2 kills) 12,550 times 12,550
15 Drop the Bomb 12,905 times -25810
16 Round MVP 19,327 times 0
17 Pick up the Bomb 24,303 times 48,606
18 Headshot 31,708 times 31,708




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-descending.gif
1 Revenge 2,315 times -6945
2 Domination 2,696 times -13480




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,704 times 25.39%
2 Counter-Terrorist 3,275 times 22.45%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 24,644 6.64% 12,232 8.82% 0.50
2 Colt M4A1 Carbine 1.00 15,317 4.13% 6,903 4.98% 0.45
3 Desert Eagle .50AE 1.20 6,692 1.80% 3,420 2.47% 0.51
4 Steyr Scout 1.10 5,595 1.51% 3,354 2.42% 0.60
5 Arctic Warfare Magnum (Police) 1.00 3,094 0.83% 512 0.37% 0.17
6 High Explosive Grenade 1.80 2,842 0.77% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 1,868 0.50% 976 0.70% 0.52
8 Bundeswehr Advanced Combat Knife 2.00 1,724 0.46% 2 0.00% 0.00
9 FN P90 1.20 1,474 0.40% 638 0.46% 0.43
10 Sig Sauer P-228 1.50 1,139 0.31% 446 0.32% 0.39
11 Sig Sauer SG-552 Commando 1.00 1,066 0.29% 472 0.34% 0.44
12 Benelli M3 Super 90 Combat 1.20 906 0.24% 345 0.25% 0.38
13 Dual Beretta 96G Elite 1.40 168 0.05% 78 0.06% 0.46
14 H&K USP .45 Tactical 1.40 161 0.04% 83 0.06% 0.52
15 Ingram MAC-10 1.50 127 0.03% 61 0.04% 0.48
16 Glock 18 Select Fire 1.40 117 0.03% 50 0.04% 0.43
17 Steyr Aug 1.00 113 0.03% 48 0.03% 0.42
18 H&K MP5-Navy 1.20 100 0.03% 43 0.03% 0.43
19 Steyr Tactical Machine Pistol 1.50 89 0.02% 45 0.03% 0.51
20 Benelli/H&K M4 Super 90 XM1014 1.10 82 0.02% 30 0.02% 0.37
21 Galil 1.10 66 0.02% 26 0.02% 0.39
22 FN Five-Seven 1.50 45 0.01% 24 0.02% 0.53
23 H&K UMP45 1.20 37 0.01% 16 0.01% 0.43
24 Fusil Automatique 1.00 37 0.01% 17 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 sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 686,351 89,900 3,627,216 13,547 26,297 9.1119 13.1% 40.3 26.1
2 Colt M4A1 Carbine 483,171 65,546 2,111,317 6,900 15,306 11.4910 13.6% 32.2 31.6
3 Desert Eagle .50AE 70,381 19,389 1,009,349 3,744 7,064 4.6875 27.5% 52.1 10.0
4 Steyr Scout 40,698 13,768 1,326,070 3,403 5,680 2.7519 33.8% 96.3 7.2
5 Arctic Warfare Magnum (Police) 12,244 4,397 599,965 519 3,102 5.4903 35.9% 136.4 3.9
6 M249 PARA Light Machine Gun 82,416 7,067 284,184 1,090 2,017 15.3969 8.6% 40.2 40.9
7 FN P90 68,250 8,205 192,092 638 1,474 9.8267 12.0% 23.4 46.3
8 Sig Sauer P-228 28,705 4,675 142,727 446 1,139 23.2449 16.3% 30.5 25.2
9 Sig Sauer SG-552 Commando 76,695 5,378 157,536 485 1,081 36.0333 7.0% 29.3 70.9
10 Benelli M3 Super 90 Combat 3,867 8,117 116,265 344 905 2.5857 209.9% 14.3 4.3
11 Bundeswehr Advanced Combat Knife 18,983 1,382 74,693 2 506 2.3426 7.3% 54.0 37.5
12 Dual Beretta 96G Elite 4,314 822 22,904 78 168 56.0000 19.1% 27.9 25.7
13 H&K USP .45 Tactical 6,082 1,148 23,486 82 160 7.6190 18.9% 20.5 38.0
14 Ingram MAC-10 5,467 935 16,766 60 124 24.8000 17.1% 17.9 44.1
15 Glock 18 Select Fire 5,446 1,047 17,570 49 115 7.6667 19.2% 16.8 47.4
16 Steyr Aug 3,627 565 16,663 47 111 13.8750 15.6% 29.5 32.7
17 H&K MP5-Navy 4,931 874 14,499 42 98 9.8000 17.7% 16.6 50.3
18 Steyr Tactical Machine Pistol 4,659 713 12,803 45 89 44.5000 15.3% 18.0 52.3
19 Benelli/H&K M4 Super 90 XM1014 1,458 990 11,654 30 82 16.4000 67.9% 11.8 17.8
20 Galil 2,484 296 9,122 26 66 66.0000 11.9% 30.8 37.6
21 FN Five-Seven 1,187 290 7,786 32 56 18.6667 24.4% 26.8 21.2
22 H&K UMP45 2,077 281 5,624 16 36 18.0000 13.5% 20.0 57.7
23 Fusil Automatique 925 175 5,359 16 35 35.0000 18.9% 30.6 26.4
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 89,900 26.7% 59.8% 13.5%
2 Colt M4A1 Carbine 65,546 27.2% 59.7% 13.0%
3 Desert Eagle .50AE 19,389 26.0% 61.6% 12.4%
4 Steyr Scout 13,768 26.4% 65.3% 8.3%
5 FN P90 8,205 28.3% 56.4% 15.3%
6 Benelli M3 Super 90 Combat 8,117 28.3% 58.4% 13.3%
7 M249 PARA Light Machine Gun 7,067 27.4% 59.3% 13.3%
8 Sig Sauer SG-552 Commando 5,378 28.5% 56.4% 15.1%
9 Sig Sauer P-228 4,675 29.3% 56.9% 13.8%
10 Arctic Warfare Magnum (Police) 4,397 31.9% 58.7% 9.3%
11 H&K USP .45 Tactical 1,148 25.7% 62.0% 12.3%
12 Glock 18 Select Fire 1,047 26.6% 60.3% 13.2%
13 Benelli/H&K M4 Super 90 XM1014 990 26.9% 56.6% 16.6%
14 Ingram MAC-10 935 26.7% 59.7% 13.6%
15 H&K MP5-Navy 874 29.2% 55.9% 14.9%
16 Dual Beretta 96G Elite 822 24.6% 61.3% 14.1%
17 Steyr Tactical Machine Pistol 713 24.7% 64.8% 10.5%
18 Steyr Aug 565 26.7% 57.0% 16.3%
19 Galil 296 31.4% 50.7% 17.9%
20 FN Five-Seven 290 20.0% 66.6% 13.4%
21 H&K UMP45 281 26.3% 53.7% 19.9%
22 Fusil Automatique 175 21.7% 62.3% 16.0%
23 Bundeswehr Advanced Combat Knife 66 19.7% 75.8% 4.5%
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 / 370931 * 100, 2) AS kpercent,
			ROUND(headshots / 138617 * 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