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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 79.35%
Members: 31 active members (74 total)
Avg. Member Points: 11,458
Total Kills: 367,831
Total Deaths: 298,507
Avg. Kills: 11,866
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 394d 00:25:38h
Avg. Connection Time: 12d 17:02:45h
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 18.63% 31,203 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.93% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.78% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.85% 16,883 1.93
5  Ukrainegusenica elorank 15,405 6d 22:33:31h 7,043 1.91% 5,508 1.28
6  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.22% 12,150 1.58
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.14% 10,412 1.11
8  Russian federationубивашка 62 elorank 13,592 3d 12:57:50h 4,103 1.12% 2,974 1.38
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.16% 3,263 1.31
10  Russian federationKAZANTIP elorank 12,812 49d 19:52:15h 41,958 11.41% 38,533 1.09
11  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.85% 1,465 2.12
12  Russian federationИлья190RUS elorank 11,949 3d 07:27:28h 3,472 0.94% 3,010 1.15
13  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.77% 15,207 1.15
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.77% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.39% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,822 3d 06:39:50h 3,117 0.85% 3,278 0.95
17  Russian federationavpvovan elorank 9,783 5d 19:58:36h 4,434 1.21% 5,009 0.89
18  Russian federationStanislav752 elorank 9,653 14d 00:21:59h 11,556 3.14% 10,991 1.05
19  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.42% 22,106 0.90
20  Russian federationShalfeYka elorank 9,274 1d 14:17:13h 1,386 0.38% 1,397 0.99


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 31,195 times 31,195
2 Pick up the Bomb 26,000 times 52,000
3 Round MVP 19,009 times 0
4 Drop the Bomb 13,949 times -27898
5 Double Kill (2 kills) 12,031 times 12,031
6 Plant the Bomb 5,884 times 58,840
7 Domination 3,868 times 19,340
8 Triple Kill (3 kills) 3,068 times 6,136
9 Revenge 1,792 times 5,376
10 Start Defusing the Bomb With a Defuse Kit 760 times 0
11 Defuse the Bomb 561 times 5,610
12 Domination (4 kills) 560 times 1,680
13 Start Defusing the Bomb Without a Defuse Kit 77 times 0
14 Rampage (5 kills) 63 times 252
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 2,911 times -14555
2 Revenge 2,270 times -6810




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,585 times 21.03%
2 Terrorist 3,472 times 28.24%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,919 6.50% 11,999 8.71% 0.50
2 Colt M4A1 Carbine 1.00 12,865 3.50% 5,762 4.18% 0.45
3 Steyr Scout 1.10 6,577 1.79% 3,950 2.87% 0.60
4 Desert Eagle .50AE 1.20 6,553 1.78% 3,513 2.55% 0.54
5 Arctic Warfare Magnum (Police) 1.00 3,121 0.85% 512 0.37% 0.16
6 High Explosive Grenade 1.80 2,739 0.74% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,118 0.58% 1,090 0.79% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,657 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,568 0.43% 669 0.49% 0.43
10 Sig Sauer P-228 1.50 1,155 0.31% 462 0.34% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,062 0.29% 474 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 846 0.23% 335 0.24% 0.40
13 Dual Beretta 96G Elite 1.40 176 0.05% 82 0.06% 0.47
14 H&K USP .45 Tactical 1.40 150 0.04% 73 0.05% 0.49
15 Ingram MAC-10 1.50 126 0.03% 62 0.05% 0.49
16 Galil 1.10 115 0.03% 48 0.03% 0.42
17 Glock 18 Select Fire 1.40 110 0.03% 51 0.04% 0.46
18 H&K MP5-Navy 1.20 103 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 93 0.03% 44 0.03% 0.47
20 Benelli/H&K M4 Super 90 XM1014 1.10 79 0.02% 28 0.02% 0.35
21 Steyr Tactical Machine Pistol 1.50 68 0.02% 37 0.03% 0.54
22 FN Five-Seven 1.50 45 0.01% 23 0.02% 0.51
23 Fusil Automatique 1.00 40 0.01% 19 0.01% 0.48
24 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
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-47 692,480 88,171 3,536,385 13,316 25,583 9.4263 12.7% 40.1 27.1
2 Colt M4A1 Carbine 444,069 56,557 1,795,751 5,766 12,869 11.0464 12.7% 31.8 34.5
3 Desert Eagle .50AE 71,281 19,015 999,819 3,837 6,934 4.5951 26.7% 52.6 10.3
4 Steyr Scout 51,399 16,165 1,548,246 3,999 6,665 2.6076 31.5% 95.8 7.7
5 Arctic Warfare Magnum (Police) 12,602 4,435 601,630 519 3,129 5.3579 35.2% 135.7 4.0
6 M249 PARA Light Machine Gun 103,843 8,185 320,264 1,204 2,267 14.5321 7.9% 39.1 45.8
7 FN P90 77,656 8,865 205,390 669 1,568 9.8000 11.4% 23.2 49.5
8 Sig Sauer P-228 28,883 4,714 145,282 462 1,155 24.0625 16.3% 30.8 25.0
9 Sig Sauer SG-552 Commando 76,723 5,387 157,619 487 1,078 38.5000 7.0% 29.3 71.2
10 Benelli M3 Super 90 Combat 3,763 7,672 109,238 335 846 2.3831 203.9% 14.2 4.4
11 Bundeswehr Advanced Combat Knife 20,240 1,422 75,028 2 500 1.8248 7.0% 52.8 40.5
12 Dual Beretta 96G Elite 4,447 862 24,320 82 176 58.6667 19.4% 28.2 25.3
13 H&K USP .45 Tactical 5,790 1,045 21,463 72 149 7.4500 18.0% 20.5 38.9
14 Ingram MAC-10 5,281 891 16,344 61 123 24.6000 16.9% 18.3 42.9
15 Galil 3,261 489 16,037 48 115 57.5000 15.0% 32.8 28.4
16 Glock 18 Select Fire 5,326 967 16,463 50 108 7.2000 18.2% 17.0 49.3
17 H&K MP5-Navy 5,036 897 14,865 43 101 10.1000 17.8% 16.6 49.9
18 Steyr Aug 3,341 478 14,271 44 93 11.6250 14.3% 29.9 35.9
19 Benelli/H&K M4 Super 90 XM1014 1,451 979 11,467 28 79 13.1667 67.5% 11.7 18.4
20 Steyr Tactical Machine Pistol 4,124 573 10,292 37 68 68.0000 13.9% 18.0 60.6
21 FN Five-Seven 1,176 307 7,866 32 57 19.0000 26.1% 25.6 20.6
22 Fusil Automatique 1,008 190 5,831 18 38 38.0000 18.8% 30.7 26.5
23 H&K UMP45 2,094 279 5,557 16 35 17.5000 13.3% 19.9 59.8
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 Middle sort-descending.gif 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 64 17.2% 76.6% 6.3%
4 FN Five-Seven 307 21.2% 65.8% 13.0%
5 Steyr Scout 16,140 26.5% 65.0% 8.5%
6 Steyr Tactical Machine Pistol 573 25.3% 64.2% 10.5%
7 Fusil Automatique 190 21.1% 62.6% 16.3%
8 Desert Eagle .50AE 19,015 25.9% 62.0% 12.1%
9 H&K USP .45 Tactical 1,045 25.7% 61.9% 12.3%
10 Dual Beretta 96G Elite 862 24.9% 61.3% 13.8%
11 Glock 18 Select Fire 967 26.4% 61.0% 12.6%
12 Kalashnikov AK-47 88,171 26.8% 59.8% 13.5%
13 Colt M4A1 Carbine 56,557 27.6% 59.3% 13.0%
14 Ingram MAC-10 891 26.7% 59.1% 14.1%
15 M249 PARA Light Machine Gun 8,185 27.5% 58.9% 13.6%
16 Arctic Warfare Magnum (Police) 4,435 32.1% 58.3% 9.6%
17 Benelli M3 Super 90 Combat 7,672 29.0% 58.0% 13.0%
18 Sig Sauer P-228 4,714 29.2% 57.0% 13.8%
19 Galil 489 27.0% 56.6% 16.4%
20 Sig Sauer SG-552 Commando 5,387 28.6% 56.3% 15.1%
21 Steyr Aug 478 28.5% 56.3% 15.3%
22 H&K MP5-Navy 897 28.9% 56.2% 14.9%
23 Benelli/H&K M4 Super 90 XM1014 979 27.2% 56.1% 16.8%
24 FN P90 8,865 28.5% 56.0% 15.4%
25 H&K UMP45 279 26.2% 53.8% 20.1%


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 / 367831 * 100, 2) AS kpercent,
			ROUND(headshots / 137737 * 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