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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: 11,454
Total Kills: 370,880
Total Deaths: 300,192
Avg. Kills: 11,964
Kills per Death: 1.24
Kills per Minute: 0.65
Total Connection Time: 399d 04:49:27h
Avg. Connection Time: 12d 21:03:31h
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 14,939 16d 09:07:39h 19,111 5.15% 12,104 1.58
6  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.12% 10,412 1.11
7  Ukrainegusenica elorank 14,627 5d 17:24:37h 5,852 1.58% 4,598 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 12,812 3d 03:59:14h 3,669 0.99% 2,687 1.37
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 5.38% 22,106 0.90


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 5,429 times 54,290
2 Pick up the Bomb 24,268 times 48,536
3 Headshot 31,680 times 31,680
4 Domination 4,029 times 20,145
5 Double Kill (2 kills) 12,536 times 12,536
6 Triple Kill (3 kills) 3,250 times 6,500
7 Defuse the Bomb 648 times 6,480
8 Revenge 1,589 times 4,767
9 Domination (4 kills) 592 times 1,776
10 Rampage (5 kills) 65 times 260
11 Mega Kill (6 kills) 4 times 20
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 18 times 0
14 Start Defusing the Bomb Without a Defuse Kit 103 times 0
15 Start Defusing the Bomb With a Defuse Kit 842 times 0
16 Round MVP 19,311 times 0
17 Kill a Hostage 21 times -315
18 Drop the Bomb 12,888 times -25776




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,695 times -13475
2 Revenge 2,313 times -6939




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,703 times 25.39%
2 Counter-Terrorist 3,274 times 22.45%




  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 Fusil Automatique 1.00 37 0.01% 17 0.01% 0.46
3 H&K UMP45 1.20 37 0.01% 16 0.01% 0.43
4 FN Five-Seven 1.50 45 0.01% 24 0.02% 0.53
5 Galil 1.10 66 0.02% 26 0.02% 0.39
6 Benelli/H&K M4 Super 90 XM1014 1.10 82 0.02% 30 0.02% 0.37
7 Steyr Tactical Machine Pistol 1.50 89 0.02% 45 0.03% 0.51
8 H&K MP5-Navy 1.20 100 0.03% 43 0.03% 0.43
9 Steyr Aug 1.00 113 0.03% 48 0.03% 0.42
10 Glock 18 Select Fire 1.40 117 0.03% 50 0.04% 0.43
11 Ingram MAC-10 1.50 127 0.03% 61 0.04% 0.48
12 H&K USP .45 Tactical 1.40 161 0.04% 83 0.06% 0.52
13 Dual Beretta 96G Elite 1.40 168 0.05% 78 0.06% 0.46
14 Benelli M3 Super 90 Combat 1.20 906 0.24% 345 0.25% 0.38
15 Sig Sauer SG-552 Commando 1.00 1,066 0.29% 472 0.34% 0.44
16 Sig Sauer P-228 1.50 1,134 0.31% 443 0.32% 0.39
17 FN P90 1.20 1,474 0.40% 638 0.46% 0.43
18 Bundeswehr Advanced Combat Knife 2.00 1,723 0.46% 2 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 1,868 0.50% 976 0.70% 0.52
20 High Explosive Grenade 1.80 2,841 0.77% 0 0.00% 0.00
21 Arctic Warfare Magnum (Police) 1.00 3,094 0.83% 512 0.37% 0.17
22 Steyr Scout 1.10 5,581 1.50% 3,345 2.41% 0.60
23 Desert Eagle .50AE 1.20 6,670 1.80% 3,410 2.46% 0.51
24 Colt M4A1 Carbine 1.00 15,315 4.13% 6,902 4.98% 0.45
25 Kalashnikov AK-47 1.00 24,635 6.64% 12,227 8.82% 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 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
2 Fusil Automatique 925 175 5,359 16 35 35.0000 18.9% 30.6 26.4
3 H&K UMP45 2,077 281 5,624 16 36 18.0000 13.5% 20.0 57.7
4 FN Five-Seven 1,187 290 7,786 32 56 18.6667 24.4% 26.8 21.2
5 Galil 2,484 296 9,122 26 66 66.0000 11.9% 30.8 37.6
6 Benelli/H&K M4 Super 90 XM1014 1,458 990 11,654 30 82 16.4000 67.9% 11.8 17.8
7 Steyr Tactical Machine Pistol 4,659 713 12,803 45 89 44.5000 15.3% 18.0 52.3
8 H&K MP5-Navy 4,931 874 14,499 42 98 9.8000 17.7% 16.6 50.3
9 Steyr Aug 3,627 565 16,663 47 111 13.8750 15.6% 29.5 32.7
10 Glock 18 Select Fire 5,446 1,047 17,570 49 115 7.6667 19.2% 16.8 47.4
11 Ingram MAC-10 5,467 935 16,766 60 124 24.8000 17.1% 17.9 44.1
12 H&K USP .45 Tactical 6,082 1,148 23,486 82 160 7.6190 18.9% 20.5 38.0
13 Dual Beretta 96G Elite 4,314 822 22,904 78 168 56.0000 19.1% 27.9 25.7
14 Bundeswehr Advanced Combat Knife 18,977 1,382 74,693 2 506 2.3426 7.3% 54.0 37.5
15 Benelli M3 Super 90 Combat 3,863 8,107 116,169 344 905 2.5931 209.9% 14.3 4.3
16 Sig Sauer SG-552 Commando 76,695 5,378 157,536 485 1,081 36.0333 7.0% 29.3 70.9
17 Sig Sauer P-228 28,662 4,664 142,329 443 1,134 23.1429 16.3% 30.5 25.3
18 FN P90 68,250 8,205 192,092 638 1,474 9.8267 12.0% 23.4 46.3
19 M249 PARA Light Machine Gun 82,416 7,067 284,184 1,090 2,017 15.3969 8.6% 40.2 40.9
20 Arctic Warfare Magnum (Police) 12,244 4,397 599,965 519 3,102 5.4903 35.9% 136.4 3.9
21 Steyr Scout 40,604 13,741 1,323,198 3,394 5,666 2.7505 33.8% 96.3 7.2
22 Desert Eagle .50AE 70,214 19,334 1,006,470 3,734 7,045 4.6811 27.5% 52.1 10.0
23 Colt M4A1 Carbine 483,028 65,531 2,110,940 6,899 15,304 11.4895 13.6% 32.2 31.6
24 Kalashnikov AK-47 686,199 89,864 3,625,762 13,541 26,287 9.1085 13.1% 40.3 26.1




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
2 Bundeswehr Advanced Combat Knife 66 19.7% 75.8% 4.5%
3 Fusil Automatique 175 21.7% 62.3% 16.0%
4 H&K UMP45 281 26.3% 53.7% 19.9%
5 FN Five-Seven 290 20.0% 66.6% 13.4%
6 Galil 296 31.4% 50.7% 17.9%
7 Steyr Aug 565 26.7% 57.0% 16.3%
8 Steyr Tactical Machine Pistol 713 24.7% 64.8% 10.5%
9 Dual Beretta 96G Elite 822 24.6% 61.3% 14.1%
10 H&K MP5-Navy 874 29.2% 55.9% 14.9%
11 Ingram MAC-10 935 26.7% 59.7% 13.6%
12 Benelli/H&K M4 Super 90 XM1014 990 26.9% 56.6% 16.6%
13 Glock 18 Select Fire 1,047 26.6% 60.3% 13.2%
14 H&K USP .45 Tactical 1,148 25.7% 62.0% 12.3%
15 Arctic Warfare Magnum (Police) 4,397 31.9% 58.7% 9.3%
16 Sig Sauer P-228 4,664 29.3% 56.9% 13.8%
17 Sig Sauer SG-552 Commando 5,378 28.5% 56.4% 15.1%
18 M249 PARA Light Machine Gun 7,067 27.4% 59.3% 13.3%
19 Benelli M3 Super 90 Combat 8,107 28.3% 58.4% 13.3%
20 FN P90 8,205 28.3% 56.4% 15.3%
21 Steyr Scout 13,741 26.4% 65.3% 8.3%
22 Desert Eagle .50AE 19,334 26.0% 61.6% 12.4%
23 Colt M4A1 Carbine 65,531 27.2% 59.8% 13.0%
24 Kalashnikov AK-47 89,864 26.7% 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 / 370880 * 100, 2) AS kpercent,
			ROUND(headshots / 138590 * 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