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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 80.26%
Members: 30 active members (75 total)
Avg. Member Points: 11,784
Total Kills: 370,737
Total Deaths: 300,965
Avg. Kills: 12,358
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 396d 22:29:03h
Avg. Connection Time: 13d 05:32:58h
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 33,844 46d 17:13:18h 68,741 18.54% 31,298 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 01:42:25h 24,921 6.72% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.78% 16,883 1.93
5  Ukrainegusenica elorank 16,117 8d 01:13:28h 8,133 2.19% 6,377 1.28
6  Russian federationубивашка 62 elorank 15,361 4d 04:10:06h 4,883 1.32% 3,479 1.40
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.12% 10,412 1.11
8  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.19% 12,180 1.58
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.15% 3,263 1.31
10  Russian federationKAZANTIP elorank 12,736 49d 20:24:08h 41,967 11.32% 38,555 1.09
11  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.84% 1,465 2.12
12  Russian federationИлья190RUS elorank 12,022 3d 09:54:51h 3,603 0.97% 3,106 1.16
13  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.73% 15,207 1.15
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  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,962 3d 07:47:20h 3,154 0.85% 3,318 0.95
17  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.20% 5,021 0.89
18  Russian federationStanislav752 elorank 9,846 14d 07:31:54h 11,816 3.19% 11,194 1.06
19  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.38% 22,106 0.90
20  Russian federationShalfeYka elorank 9,407 1d 15:54:53h 1,429 0.39% 1,451 0.98


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 30,994 times 30,994
2 Pick up the Bomb 25,710 times 51,420
3 Round MVP 18,883 times 0
4 Drop the Bomb 13,893 times -27786
5 Double Kill (2 kills) 11,853 times 11,853
6 Plant the Bomb 5,819 times 58,190
7 Domination 3,759 times 18,795
8 Triple Kill (3 kills) 3,010 times 6,020
9 Revenge 1,784 times 5,352
10 Start Defusing the Bomb With a Defuse Kit 765 times 0
11 Defuse the Bomb 557 times 5,570
12 Domination (4 kills) 546 times 1,638
13 Start Defusing the Bomb Without a Defuse Kit 77 times 0
14 Rampage (5 kills) 58 times 232
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 4 times 20
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,915 times -14575
2 Revenge 2,202 times -6606




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,628 times 21.11%
2 Terrorist 3,497 times 28.09%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,197 6.26% 11,655 8.38% 0.50
2 Colt M4A1 Carbine 1.00 12,659 3.41% 5,675 4.08% 0.45
3 Desert Eagle .50AE 1.20 6,837 1.84% 3,716 2.67% 0.54
4 Steyr Scout 1.10 6,671 1.80% 4,028 2.90% 0.60
5 Arctic Warfare Magnum (Police) 1.00 3,050 0.82% 500 0.36% 0.16
6 High Explosive Grenade 1.80 2,796 0.75% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,106 0.57% 1,079 0.78% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,660 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,419 0.38% 628 0.45% 0.44
10 Sig Sauer P-228 1.50 1,183 0.32% 474 0.34% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,063 0.29% 475 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 824 0.22% 329 0.24% 0.40
13 Dual Beretta 96G Elite 1.40 179 0.05% 85 0.06% 0.47
14 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
15 Galil 1.10 125 0.03% 52 0.04% 0.42
16 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
17 Glock 18 Select Fire 1.40 111 0.03% 51 0.04% 0.46
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 89 0.02% 42 0.03% 0.47
20 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 29 0.02% 0.36
21 Steyr Tactical Machine Pistol 1.50 57 0.02% 33 0.02% 0.58
22 FN Five-Seven 1.50 56 0.02% 26 0.02% 0.46
23 Fusil Automatique 1.00 45 0.01% 21 0.02% 0.47
24 H&K UMP45 1.20 35 0.01% 16 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-47 678,230 85,639 3,437,054 12,973 24,862 9.4174 12.6% 40.1 27.3
2 Colt M4A1 Carbine 441,987 55,771 1,769,114 5,679 12,663 10.7770 12.6% 31.7 34.9
3 Desert Eagle .50AE 74,412 19,759 1,041,222 4,040 7,218 4.6269 26.6% 52.7 10.3
4 Steyr Scout 53,862 16,445 1,570,753 4,084 6,776 2.5843 30.5% 95.5 7.9
5 Arctic Warfare Magnum (Police) 12,415 4,342 587,548 507 3,058 5.3649 35.0% 135.3 4.1
6 M249 PARA Light Machine Gun 104,705 8,184 318,635 1,193 2,255 14.1824 7.8% 38.9 46.4
7 FN P90 72,733 8,169 190,551 628 1,419 9.3355 11.2% 23.3 51.3
8 Sig Sauer P-228 29,418 4,813 148,927 474 1,183 25.1702 16.4% 30.9 24.9
9 Sig Sauer SG-552 Commando 76,762 5,396 157,838 488 1,079 38.5357 7.0% 29.3 71.1
10 Benelli M3 Super 90 Combat 3,664 7,391 105,751 329 824 2.3953 201.7% 14.3 4.4
11 Bundeswehr Advanced Combat Knife 21,848 1,346 70,596 2 470 1.6906 6.2% 52.4 46.5
12 Dual Beretta 96G Elite 4,563 871 24,753 85 179 59.6667 19.1% 28.4 25.5
13 H&K USP .45 Tactical 5,771 1,035 21,277 72 147 7.7368 17.9% 20.6 39.3
14 Galil 3,722 534 17,592 52 125 62.5000 14.3% 32.9 29.8
15 Ingram MAC-10 5,185 864 15,804 60 119 29.7500 16.7% 18.3 43.6
16 Glock 18 Select Fire 5,561 988 16,764 50 109 7.2667 17.8% 17.0 51.0
17 H&K MP5-Navy 4,977 886 14,719 43 100 11.1111 17.8% 16.6 49.8
18 Steyr Aug 3,256 466 13,841 42 89 11.1250 14.3% 29.7 36.6
19 Benelli/H&K M4 Super 90 XM1014 1,465 1,007 11,716 29 81 16.2000 68.7% 11.6 18.1
20 FN Five-Seven 1,343 365 9,741 35 68 34.0000 27.2% 26.7 19.8
21 Steyr Tactical Machine Pistol 4,093 487 8,783 33 57 57.0000 11.9% 18.0 71.8
22 Fusil Automatique 1,129 211 6,476 20 43 43.0000 18.7% 30.7 26.3
23 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
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 Left sort-descending.gif Middle Right
1 Arctic Warfare Magnum (Police) 4,342 32.4% 57.7% 9.9%
2 Sig Sauer P-228 4,813 29.2% 57.2% 13.6%
3 Benelli M3 Super 90 Combat 7,391 29.0% 57.9% 13.1%
4 Sig Sauer SG-552 Commando 5,396 28.6% 56.3% 15.2%
5 H&K MP5-Navy 886 28.6% 56.5% 14.9%
6 Steyr Aug 466 28.3% 56.7% 15.0%
7 FN P90 8,169 28.1% 56.3% 15.5%
8 Galil 534 27.9% 55.4% 16.7%
9 Colt M4A1 Carbine 55,771 27.7% 59.4% 13.0%
10 M249 PARA Light Machine Gun 8,184 27.7% 58.6% 13.6%
11 Benelli/H&K M4 Super 90 XM1014 1,007 27.3% 56.3% 16.4%
12 Glock 18 Select Fire 988 26.8% 60.7% 12.4%
13 Ingram MAC-10 864 26.7% 58.9% 14.4%
14 Kalashnikov AK-47 85,639 26.7% 59.8% 13.5%
15 Steyr Scout 16,420 26.5% 65.0% 8.6%
16 Desert Eagle .50AE 19,759 25.7% 62.2% 12.1%
17 Steyr Tactical Machine Pistol 487 25.5% 62.8% 11.7%
18 H&K UMP45 270 24.8% 55.2% 20.0%
19 Dual Beretta 96G Elite 871 24.5% 61.7% 13.9%
20 H&K USP .45 Tactical 1,035 24.3% 63.0% 12.7%
21 FN Five-Seven 365 21.1% 64.9% 14.0%
22 Fusil Automatique 211 20.4% 64.5% 15.2%
23 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
24 Bundeswehr Advanced Combat Knife 64 18.8% 75.0% 6.3%
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 / 370737 * 100, 2) AS kpercent,
			ROUND(headshots / 139122 * 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