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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 79.65%
Members: 29 active members (72 total)
Avg. Member Points: 11,489
Total Kills: 361,935
Total Deaths: 293,487
Avg. Kills: 12,481
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 387d 20:06:28h
Avg. Connection Time: 13d 08:58:09h
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 18.93% 31,203 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.98% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.89% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.99% 16,883 1.93
5  Ukrainegusenica elorank 14,861 6d 10:31:50h 6,526 1.80% 5,128 1.27
6  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.31% 12,150 1.58
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.19% 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 11.59% 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 4.84% 15,181 1.15
12  Russian federationИлья190RUS elorank 11,855 3d 07:08:25h 3,457 0.96% 2,995 1.15
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.83% 13,411 1.03
14  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.49% 15,929 1.48
15  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,000 3d 05:05:16h 3,064 0.85% 3,201 0.96
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 3.18% 10,922 1.05
18  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.51% 22,106 0.90
19  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.46% 18,072 0.89
20  Russian federation⇜Ṧ†êrvå⇝ elorank 9,025 6d 00:35:54h 4,374 1.21% 5,717 0.77


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 2,881 times 5,762
2 Touch a Hostage 4 times 0
3 Start Defusing the Bomb Without a Defuse Kit 58 times 0
4 Start Defusing the Bomb With a Defuse Kit 685 times 0
5 Round MVP 17,671 times 0
6 Revenge 1,686 times 5,058
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 25,054 times 50,108
11 Mega Kill (6 kills) 2 times 10
12 Kill a Hostage 18 times -270
13 Headshot 28,942 times 28,942
14 Drop the Bomb 13,352 times -26704
15 Double Kill (2 kills) 11,138 times 11,138
16 Domination (4 kills) 522 times 1,566
17 Domination 3,634 times 18,170
18 Defuse the Bomb 479 times 4,790




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,725 times -13625
2 Revenge 2,139 times -6417




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,281 times 28.99%
2 Counter-Terrorist 2,280 times 20.14%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,137 6.39% 11,479 8.51% 0.50
2 Colt M4A1 Carbine 1.00 11,672 3.22% 5,173 3.84% 0.44
3 Steyr Scout 1.10 5,761 1.59% 3,468 2.57% 0.60
4 Desert Eagle .50AE 1.20 5,519 1.52% 2,895 2.15% 0.52
5 Arctic Warfare Magnum (Police) 1.00 2,885 0.80% 466 0.35% 0.16
6 High Explosive Grenade 1.80 2,416 0.67% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,174 0.60% 1,120 0.83% 0.52
8 FN P90 1.20 1,595 0.44% 685 0.51% 0.43
9 Bundeswehr Advanced Combat Knife 2.00 1,488 0.41% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,152 0.32% 459 0.34% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,048 0.29% 469 0.35% 0.45
12 Benelli M3 Super 90 Combat 1.20 824 0.23% 323 0.24% 0.39
13 Dual Beretta 96G Elite 1.40 171 0.05% 80 0.06% 0.47
14 H&K USP .45 Tactical 1.40 137 0.04% 70 0.05% 0.51
15 Ingram MAC-10 1.50 127 0.04% 63 0.05% 0.50
16 Glock 18 Select Fire 1.40 101 0.03% 48 0.04% 0.48
17 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
18 Steyr Aug 1.00 82 0.02% 38 0.03% 0.46
19 Steyr Tactical Machine Pistol 1.50 81 0.02% 42 0.03% 0.52
20 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 27 0.02% 0.35
21 Galil 1.10 71 0.02% 28 0.02% 0.39
22 FN Five-Seven 1.50 51 0.01% 25 0.02% 0.49
23 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
24 Fusil Automatique 1.00 30 0.01% 12 0.01% 0.40
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 Kills per Death Accuracy Damage per Hit sort-descending.gif 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 Arctic Warfare Magnum (Police) 11,872 4,136 555,868 473 2,893 5.4176 34.8% 134.4 4.1
3 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
4 Steyr Scout 43,737 14,066 1,355,293 3,521 5,853 2.6714 32.2% 96.4 7.5
5 Desert Eagle .50AE 60,202 16,081 848,346 3,221 5,901 4.4637 26.7% 52.8 10.2
6 Bundeswehr Advanced Combat Knife 12,223 1,396 72,772 2 484 1.8980 11.4% 52.1 25.3
7 Kalashnikov AK-47 670,381 85,351 3,421,135 12,798 24,804 9.8468 12.7% 40.1 27.0
8 M249 PARA Light Machine Gun 104,488 8,358 328,296 1,234 2,323 15.0844 8.0% 39.3 45.0
9 Colt M4A1 Carbine 416,910 51,669 1,635,431 5,181 11,683 11.1161 12.4% 31.7 35.7
10 Sig Sauer P-228 28,766 4,724 145,332 459 1,152 23.5102 16.4% 30.8 25.0
11 Galil 2,607 316 9,741 28 71 71.0000 12.1% 30.8 36.7
12 Steyr Aug 2,939 412 12,442 38 82 16.4000 14.0% 30.2 35.8
13 Fusil Automatique 757 145 4,296 11 28 28.0000 19.2% 29.6 27.0
14 Sig Sauer SG-552 Commando 76,542 5,308 155,125 482 1,064 42.5600 6.9% 29.2 71.9
15 Dual Beretta 96G Elite 4,367 839 23,564 80 171 57.0000 19.2% 28.1 25.5
16 FN Five-Seven 1,232 326 8,382 34 63 21.0000 26.5% 25.7 19.6
17 FN P90 78,254 9,023 209,162 685 1,595 10.0314 11.5% 23.2 49.1
18 H&K USP .45 Tactical 5,065 911 19,133 69 136 7.1579 18.0% 21.0 37.2
19 H&K UMP45 2,076 276 5,507 16 34 17.0000 13.3% 20.0 61.1
20 Ingram MAC-10 5,362 908 16,632 62 124 24.8000 16.9% 18.3 43.2
21 Steyr Tactical Machine Pistol 4,068 635 11,490 42 81 81.0000 15.6% 18.1 50.2
22 Glock 18 Select Fire 4,839 863 15,099 47 99 6.6000 17.8% 17.5 48.9
23 H&K MP5-Navy 4,840 858 14,211 41 98 9.8000 17.7% 16.6 49.4
24 Benelli M3 Super 90 Combat 3,662 7,424 106,128 323 824 2.3678 202.7% 14.3 4.4
25 Benelli/H&K M4 Super 90 XM1014 1,425 960 11,221 27 77 12.8333 67.4% 11.7 18.5




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 85,351 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 51,669 27.7% 59.1% 13.2%
3 Desert Eagle .50AE 16,081 26.0% 61.6% 12.4%
4 Steyr Scout 14,041 26.4% 65.2% 8.4%
5 FN P90 9,023 28.5% 56.0% 15.5%
6 M249 PARA Light Machine Gun 8,358 27.4% 58.9% 13.7%
7 Benelli M3 Super 90 Combat 7,424 29.0% 57.8% 13.1%
8 Sig Sauer SG-552 Commando 5,308 28.6% 56.1% 15.3%
9 Sig Sauer P-228 4,724 29.2% 57.0% 13.8%
10 Arctic Warfare Magnum (Police) 4,136 32.2% 58.6% 9.2%
11 Benelli/H&K M4 Super 90 XM1014 960 27.1% 55.9% 17.0%
12 H&K USP .45 Tactical 911 25.0% 61.9% 13.1%
13 Ingram MAC-10 908 26.7% 59.0% 14.3%
14 Glock 18 Select Fire 863 25.7% 62.6% 11.7%
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 635 24.9% 65.0% 10.1%
18 Steyr Aug 412 27.7% 55.8% 16.5%
19 FN Five-Seven 326 21.2% 65.0% 13.8%
20 Galil 316 30.4% 51.9% 17.7%
21 H&K UMP45 276 26.4% 53.6% 19.9%
22 Fusil Automatique 145 20.7% 63.4% 15.9%
23 Bundeswehr Advanced Combat Knife 63 17.5% 76.2% 6.3%
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 / 361935 * 100, 2) AS kpercent,
			ROUND(headshots / 134878 * 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