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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 79.63%
Members: 30 active members (73 total)
Avg. Member Points: 11,375
Total Kills: 363,175
Total Deaths: 295,036
Avg. Kills: 12,106
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 389d 20:36:47h
Avg. Connection Time: 12d 23:53:13h
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 18.87% 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 15,082 6d 14:21:22h 6,696 1.84% 5,256 1.27
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 11,990 19d 04:38:57h 17,523 4.82% 15,181 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 9,913 3d 06:12:33h 3,107 0.86% 3,258 0.95
16  Russian federationavpvovan elorank 9,819 5d 19:44:18h 4,430 1.22% 4,998 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 federation⇜Ṧ†êrvå⇝ elorank 9,032 6d 00:38:01h 4,375 1.20% 5,718 0.77


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 2,894 times 5,788
2 Touch a Hostage 4 times 0
3 Start Defusing the Bomb Without a Defuse Kit 59 times 0
4 Start Defusing the Bomb With a Defuse Kit 698 times 0
5 Round MVP 17,777 times 0
6 Revenge 1,718 times 5,154
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 60 times 240
9 Plant the Bomb 5,718 times 57,180
10 Pick up the Bomb 25,271 times 50,542
11 Mega Kill (6 kills) 2 times 10
12 Kill a Hostage 18 times -270
13 Headshot 29,111 times 29,111
14 Drop the Bomb 13,561 times -27122
15 Double Kill (2 kills) 11,213 times 11,213
16 Domination (4 kills) 527 times 1,581
17 Domination 3,640 times 18,200
18 Defuse the Bomb 488 times 4,880




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,788 times -13940
2 Revenge 2,134 times -6402




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,325 times 28.70%
2 Counter-Terrorist 2,349 times 20.28%




  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 30 0.01% 12 0.01% 0.40
3 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
4 FN Five-Seven 1.50 51 0.01% 25 0.02% 0.49
5 Steyr Tactical Machine Pistol 1.50 66 0.02% 36 0.03% 0.55
6 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 27 0.02% 0.35
7 Steyr Aug 1.00 79 0.02% 37 0.03% 0.47
8 Galil 1.10 96 0.03% 43 0.03% 0.45
9 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
10 Glock 18 Select Fire 1.40 111 0.03% 51 0.04% 0.46
11 Ingram MAC-10 1.50 127 0.03% 63 0.05% 0.50
12 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
13 Dual Beretta 96G Elite 1.40 171 0.05% 80 0.06% 0.47
14 Benelli M3 Super 90 Combat 1.20 828 0.23% 325 0.24% 0.39
15 Sig Sauer SG-552 Commando 1.00 1,043 0.29% 467 0.35% 0.45
16 Sig Sauer P-228 1.50 1,154 0.32% 460 0.34% 0.40
17 Bundeswehr Advanced Combat Knife 2.00 1,489 0.41% 2 0.00% 0.00
18 FN P90 1.20 1,612 0.44% 688 0.51% 0.43
19 M249 PARA Light Machine Gun 1.20 2,177 0.60% 1,120 0.83% 0.51
20 High Explosive Grenade 1.80 2,474 0.68% 0 0.00% 0.00
21 Arctic Warfare Magnum (Police) 1.00 2,986 0.82% 476 0.35% 0.16
22 Desert Eagle .50AE 1.20 5,682 1.56% 2,938 2.17% 0.52
23 Steyr Scout 1.10 6,113 1.68% 3,605 2.66% 0.59
24 Colt M4A1 Carbine 1.00 11,753 3.24% 5,182 3.83% 0.44
25 Kalashnikov AK-47 1.00 23,027 6.34% 11,431 8.45% 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 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
3 Fusil Automatique 800 152 4,489 11 28 28.0000 19.0% 29.5 28.6
4 H&K UMP45 2,083 279 5,557 16 35 17.5000 13.4% 19.9 59.5
5 FN Five-Seven 1,232 326 8,382 34 63 21.0000 26.5% 25.7 19.6
6 Steyr Tactical Machine Pistol 3,785 550 9,941 36 66 66.0000 14.5% 18.1 57.3
7 Benelli/H&K M4 Super 90 XM1014 1,428 965 11,273 27 77 12.8333 67.6% 11.7 18.5
8 Steyr Aug 2,904 402 12,112 37 79 15.8000 13.8% 30.1 36.8
9 Galil 2,960 410 13,404 43 96 48.0000 13.9% 32.7 30.8
10 H&K MP5-Navy 4,836 858 14,211 41 98 9.8000 17.7% 16.6 49.3
11 Glock 18 Select Fire 5,143 952 16,252 50 109 7.2667 18.5% 17.1 47.2
12 Ingram MAC-10 5,329 902 16,555 62 124 24.8000 16.9% 18.4 43.0
13 H&K USP .45 Tactical 5,312 969 20,322 72 147 7.3500 18.2% 21.0 36.1
14 Dual Beretta 96G Elite 4,367 839 23,564 80 171 57.0000 19.2% 28.1 25.5
15 Bundeswehr Advanced Combat Knife 19,539 1,395 73,108 2 486 1.7868 7.1% 52.4 40.2
16 Benelli M3 Super 90 Combat 3,686 7,476 106,584 325 828 2.3657 202.8% 14.3 4.5
17 Sig Sauer SG-552 Commando 76,304 5,283 154,483 480 1,059 42.3600 6.9% 29.2 72.1
18 Sig Sauer P-228 28,792 4,729 145,532 460 1,154 23.5510 16.4% 30.8 24.9
19 FN P90 78,895 9,089 210,964 688 1,612 9.6527 11.5% 23.2 48.9
20 M249 PARA Light Machine Gun 104,534 8,371 328,862 1,234 2,326 14.8153 8.0% 39.3 44.9
21 Arctic Warfare Magnum (Police) 12,262 4,255 572,229 483 2,994 5.4936 34.7% 134.5 4.1
22 Desert Eagle .50AE 62,196 16,562 868,978 3,264 6,064 4.4457 26.6% 52.5 10.3
23 Steyr Scout 47,860 15,034 1,439,180 3,658 6,205 2.6608 31.4% 95.7 7.7
24 Colt M4A1 Carbine 419,539 52,047 1,645,204 5,190 11,764 10.9944 12.4% 31.6 35.7
25 Kalashnikov AK-47 669,323 85,036 3,407,031 12,750 24,694 9.7643 12.7% 40.1 27.1




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
2 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
3 Bundeswehr Advanced Combat Knife 61 18.0% 75.4% 6.6%
4 Fusil Automatique 152 22.4% 61.2% 16.4%
5 H&K UMP45 279 26.2% 53.8% 20.1%
6 FN Five-Seven 326 21.2% 65.0% 13.8%
7 Steyr Aug 402 28.1% 55.7% 16.2%
8 Galil 410 28.0% 54.6% 17.3%
9 Steyr Tactical Machine Pistol 550 25.8% 64.4% 9.8%
10 Dual Beretta 96G Elite 839 24.9% 61.1% 13.9%
11 H&K MP5-Navy 858 30.0% 55.8% 14.2%
12 Ingram MAC-10 902 26.6% 59.2% 14.2%
13 Glock 18 Select Fire 952 25.9% 61.3% 12.7%
14 Benelli/H&K M4 Super 90 XM1014 965 27.3% 55.9% 16.9%
15 H&K USP .45 Tactical 969 25.4% 61.5% 13.1%
16 Arctic Warfare Magnum (Police) 4,255 32.2% 58.4% 9.4%
17 Sig Sauer P-228 4,729 29.2% 57.0% 13.8%
18 Sig Sauer SG-552 Commando 5,283 28.6% 56.2% 15.2%
19 Benelli M3 Super 90 Combat 7,476 29.1% 57.8% 13.1%
20 M249 PARA Light Machine Gun 8,371 27.4% 58.9% 13.6%
21 FN P90 9,089 28.5% 56.0% 15.5%
22 Steyr Scout 15,009 26.6% 64.9% 8.5%
23 Desert Eagle .50AE 16,562 26.1% 61.4% 12.5%
24 Colt M4A1 Carbine 52,047 27.8% 59.0% 13.3%
25 Kalashnikov AK-47 85,036 26.8% 59.7% 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 / 363175 * 100, 2) AS kpercent,
			ROUND(headshots / 135316 * 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