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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 79.13%
Members: 30 active members (73 total)
Avg. Member Points: 11,378
Total Kills: 363,325
Total Deaths: 295,173
Avg. Kills: 12,111
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 390d 00:43:09h
Avg. Connection Time: 13d 00:01:26h
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 18.86% 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 6.86% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.96% 16,883 1.93
5  Ukrainegusenica elorank 15,368 6d 16:38:10h 6,786 1.87% 5,316 1.28
6  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.29% 12,150 1.58
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.18% 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 11.55% 38,533 1.09
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.86% 1,465 2.12
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.83% 15,207 1.15
12  Russian federationИлья190RUS elorank 11,855 3d 07:08:25h 3,457 0.95% 2,995 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 6.47% 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 9,807 5d 19:46:27h 4,430 1.22% 5,000 0.89
17  Russian federationStanislav752 elorank 9,774 13d 22:31:56h 11,503 3.17% 10,922 1.05
18  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.49% 22,106 0.90
19  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.45% 18,072 0.89
20  Russian federationShalfeYka elorank 9,052 1d 13:17:05h 1,347 0.37% 1,376 0.98


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) 2 times 10
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 59 times 236
6 Start Defusing the Bomb Without a Defuse Kit 59 times 0
7 Defuse the Bomb 482 times 4,820
8 Domination (4 kills) 520 times 1,560
9 Start Defusing the Bomb With a Defuse Kit 688 times 0
10 Revenge 1,714 times 5,142
11 Triple Kill (3 kills) 2,853 times 5,706
12 Domination 3,604 times 18,020
13 Plant the Bomb 5,704 times 57,040
14 Double Kill (2 kills) 11,124 times 11,124
15 Drop the Bomb 13,526 times -27052
16 Round MVP 17,678 times 0
17 Pick up the Bomb 25,188 times 50,376
18 Headshot 28,887 times 28,887




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,776 times -13880
2 Revenge 2,114 times -6342




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,306 times 28.71%
2 Counter-Terrorist 2,336 times 20.29%




  Weapon Usage *

Rank Weapon sort-descending.gif Points Modifier Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 27 0.02% 0.35
2 H&K USP .45 Tactical 1.40 147 0.04% 72 0.05% 0.49
3 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
4 Steyr Tactical Machine Pistol 1.50 66 0.02% 36 0.03% 0.55
5 Sig Sauer SG-552 Commando 1.00 1,043 0.29% 467 0.34% 0.45
6 Steyr Scout 1.10 6,070 1.67% 3,573 2.64% 0.59
7 FN P90 1.20 1,562 0.43% 664 0.49% 0.43
8 Sig Sauer P-228 1.50 1,154 0.32% 460 0.34% 0.40
9 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
10 Ingram MAC-10 1.50 127 0.03% 63 0.05% 0.50
11 Colt M4A1 Carbine 1.00 11,664 3.21% 5,139 3.80% 0.44
12 Benelli M3 Super 90 Combat 1.20 822 0.23% 322 0.24% 0.39
13 M249 PARA Light Machine Gun 1.20 2,092 0.58% 1,074 0.79% 0.51
14 Bundeswehr Advanced Combat Knife 2.00 1,485 0.41% 2 0.00% 0.00
15 High Explosive Grenade 1.80 2,458 0.68% 0 0.00% 0.00
16 Glock 18 Select Fire 1.40 110 0.03% 50 0.04% 0.45
17 Galil 1.10 106 0.03% 45 0.03% 0.42
18 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
19 FN Five-Seven 1.50 44 0.01% 23 0.02% 0.52
20 Fusil Automatique 1.00 30 0.01% 12 0.01% 0.40
21 Dual Beretta 96G Elite 1.40 171 0.05% 80 0.06% 0.47
22 Desert Eagle .50AE 1.20 5,684 1.56% 2,944 2.17% 0.52
23 Arctic Warfare Magnum (Police) 1.00 2,909 0.80% 460 0.34% 0.16
24 Steyr Aug 1.00 77 0.02% 36 0.03% 0.47
25 Kalashnikov AK-47 1.00 22,860 6.29% 11,368 8.40% 0.50




  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-47 666,862 84,465 3,385,255 12,687 24,527 9.7329 12.7% 40.1 27.2
2 Colt M4A1 Carbine 417,464 51,676 1,633,562 5,147 11,675 11.0038 12.4% 31.6 35.8
3 Steyr Scout 47,794 14,930 1,428,884 3,626 6,162 2.6515 31.2% 95.7 7.8
4 Desert Eagle .50AE 62,222 16,562 869,359 3,270 6,067 4.4414 26.6% 52.5 10.3
5 Arctic Warfare Magnum (Police) 11,934 4,143 556,544 467 2,917 5.4831 34.7% 134.3 4.1
6 M249 PARA Light Machine Gun 102,851 8,094 317,202 1,188 2,241 14.3654 7.9% 39.2 45.9
7 FN P90 77,486 8,832 204,684 664 1,562 9.8239 11.4% 23.2 49.6
8 Sig Sauer P-228 28,792 4,729 145,532 460 1,154 23.5510 16.4% 30.8 24.9
9 Sig Sauer SG-552 Commando 76,294 5,280 154,413 480 1,059 42.3600 6.9% 29.2 72.0
10 Benelli M3 Super 90 Combat 3,663 7,428 105,742 322 822 2.3621 202.8% 14.2 4.5
11 Bundeswehr Advanced Combat Knife 19,594 1,390 72,871 2 485 1.7897 7.1% 52.4 40.4
12 Dual Beretta 96G Elite 4,367 839 23,564 80 171 57.0000 19.2% 28.1 25.5
13 H&K USP .45 Tactical 5,285 966 20,255 71 146 7.3000 18.3% 21.0 36.2
14 Ingram MAC-10 5,329 902 16,555 62 124 24.8000 16.9% 18.4 43.0
15 Glock 18 Select Fire 5,130 951 16,203 49 108 7.2000 18.5% 17.0 47.5
16 Galil 3,025 453 14,792 45 106 53.0000 15.0% 32.7 28.5
17 H&K MP5-Navy 4,836 858 14,211 41 98 9.8000 17.7% 16.6 49.3
18 Benelli/H&K M4 Super 90 XM1014 1,428 965 11,273 27 77 12.8333 67.6% 11.7 18.5
19 Steyr Aug 2,868 391 11,842 36 77 15.4000 13.6% 30.3 37.2
20 Steyr Tactical Machine Pistol 3,785 550 9,941 36 66 66.0000 14.5% 18.1 57.3
21 FN Five-Seven 1,123 297 7,685 32 56 18.6667 26.4% 25.9 20.1
22 H&K UMP45 2,083 279 5,557 16 35 17.5000 13.4% 19.9 59.5
23 Fusil Automatique 800 152 4,489 11 28 28.0000 19.0% 29.5 28.6
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
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 84,465 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 51,676 27.8% 59.0% 13.3%
3 Desert Eagle .50AE 16,562 26.1% 61.4% 12.5%
4 Steyr Scout 14,905 26.6% 64.9% 8.5%
5 FN P90 8,832 28.5% 56.0% 15.5%
6 M249 PARA Light Machine Gun 8,094 27.6% 58.8% 13.6%
7 Benelli M3 Super 90 Combat 7,428 29.1% 57.8% 13.1%
8 Sig Sauer SG-552 Commando 5,280 28.6% 56.2% 15.2%
9 Sig Sauer P-228 4,729 29.2% 57.0% 13.8%
10 Arctic Warfare Magnum (Police) 4,143 32.2% 58.3% 9.5%
11 H&K USP .45 Tactical 966 25.4% 61.5% 13.1%
12 Benelli/H&K M4 Super 90 XM1014 965 27.3% 55.9% 16.9%
13 Glock 18 Select Fire 951 26.0% 61.3% 12.7%
14 Ingram MAC-10 902 26.6% 59.2% 14.2%
15 H&K MP5-Navy 858 30.0% 55.8% 14.2%
16 Dual Beretta 96G Elite 839 24.9% 61.1% 13.9%
17 Steyr Tactical Machine Pistol 550 25.8% 64.4% 9.8%
18 Galil 453 28.0% 55.6% 16.3%
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 279 26.2% 53.8% 20.1%
22 Fusil Automatique 152 22.4% 61.2% 16.4%
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 / 363325 * 100, 2) AS kpercent,
			ROUND(headshots / 135384 * 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