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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 76.72%
Members: 29 active members (74 total)
Avg. Member Points: 11,452
Total Kills: 359,489
Total Deaths: 292,822
Avg. Kills: 12,396
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 386d 20:06:39h
Avg. Connection Time: 13d 08:08:30h
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 33,965 46d 18:15:30h 68,825 19.15% 31,321 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.00% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.93% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 9.05% 16,883 1.93
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.22% 10,412 1.11
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.35% 12,180 1.58
7  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.19% 3,263 1.31
8  Russian federationKAZANTIP elorank 12,701 49d 21:12:27h 42,010 11.69% 38,583 1.09
9  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.86% 1,465 2.12
10  Russian federationИлья190RUS elorank 12,472 3d 12:46:10h 3,719 1.03% 3,192 1.17
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.88% 15,207 1.15
12  Russian federationStanislav752 elorank 10,708 14d 19:17:59h 12,254 3.41% 11,638 1.05
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.86% 13,411 1.03
14  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.54% 15,929 1.48
15  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,227 3d 09:51:28h 3,247 0.90% 3,410 0.95
16  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.24% 5,021 0.89
17  Russian federationShalfeYka elorank 9,799 1d 19:38:39h 1,586 0.44% 1,599 0.99
18  Russian federationYota ʚɞ elorank 9,712 2d 12:31:40h 1,472 0.41% 1,952 0.75
19  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.55% 22,106 0.90
20  Russian federation⇜Ṧ†êrvå⇝ elorank 9,404 6d 09:26:00h 4,662 1.30% 6,056 0.77


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 2,683 times 5,366
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 669 times 0
5 Round MVP 17,461 times 0
6 Revenge 1,710 times 5,130
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 52 times 208
9 Plant the Bomb 5,582 times 55,820
10 Pick up the Bomb 25,018 times 50,036
11 Mega Kill (6 kills) 2 times 10
12 Kill a Hostage 18 times -270
13 Headshot 28,266 times 28,266
14 Drop the Bomb 13,629 times -27258
15 Double Kill (2 kills) 10,782 times 10,782
16 Domination (4 kills) 483 times 1,449
17 Domination 3,405 times 17,025
18 Defuse the Bomb 457 times 4,570




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,771 times -13855
2 Revenge 2,018 times -6054




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,333 times 20.24%
2 Terrorist 3,310 times 28.72%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 21,719 6.04% 10,807 8.13% 0.50
2 Colt M4A1 Carbine 1.00 11,181 3.11% 4,922 3.70% 0.44
3 Steyr Scout 1.10 6,199 1.72% 3,655 2.75% 0.59
4 Desert Eagle .50AE 1.20 5,877 1.63% 3,082 2.32% 0.52
5 Arctic Warfare Magnum (Police) 1.00 2,715 0.76% 425 0.32% 0.16
6 High Explosive Grenade 1.80 2,386 0.66% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,028 0.56% 1,013 0.76% 0.50
8 Bundeswehr Advanced Combat Knife 2.00 1,494 0.42% 2 0.00% 0.00
9 FN P90 1.20 1,456 0.41% 642 0.48% 0.44
10 Sig Sauer P-228 1.50 1,258 0.35% 515 0.39% 0.41
11 Sig Sauer SG-552 Commando 1.00 1,022 0.28% 454 0.34% 0.44
12 Benelli M3 Super 90 Combat 1.20 796 0.22% 317 0.24% 0.40
13 Dual Beretta 96G Elite 1.40 189 0.05% 90 0.07% 0.48
14 H&K USP .45 Tactical 1.40 148 0.04% 74 0.06% 0.50
15 Galil 1.10 124 0.03% 52 0.04% 0.42
16 Ingram MAC-10 1.50 122 0.03% 61 0.05% 0.50
17 Glock 18 Select Fire 1.40 112 0.03% 53 0.04% 0.47
18 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
19 Benelli/H&K M4 Super 90 XM1014 1.10 78 0.02% 28 0.02% 0.36
20 Steyr Aug 1.00 73 0.02% 34 0.03% 0.47
21 FN Five-Seven 1.50 57 0.02% 28 0.02% 0.49
22 Steyr Tactical Machine Pistol 1.50 53 0.01% 30 0.02% 0.57
23 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
24 Fusil Automatique 1.00 29 0.01% 12 0.01% 0.41
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 sort-descending.gif Accuracy Damage per Hit Shots per Kill
1 Dual Beretta 96G Elite 4,814 929 26,008 90 189 63.0000 19.3% 28.0 25.5
2 Galil 3,693 530 17,452 52 124 62.0000 14.4% 32.9 29.8
3 Steyr Tactical Machine Pistol 3,391 452 8,135 30 53 53.0000 13.3% 18.0 64.0
4 Sig Sauer SG-552 Commando 75,638 5,189 151,223 467 1,038 41.5200 6.9% 29.1 72.9
5 FN Five-Seven 1,330 371 9,929 37 69 34.5000 27.9% 26.8 19.3
6 Ingram MAC-10 5,173 864 15,804 60 119 29.7500 16.7% 18.3 43.5
7 Fusil Automatique 780 147 4,388 11 27 27.0000 18.8% 29.9 28.9
8 Sig Sauer P-228 31,543 5,173 160,062 515 1,258 22.4643 16.4% 30.9 25.1
9 H&K UMP45 2,041 270 5,449 16 34 17.0000 13.2% 20.2 60.0
10 Benelli/H&K M4 Super 90 XM1014 1,436 986 11,456 28 78 15.6000 68.7% 11.6 18.4
11 Steyr Aug 2,722 373 11,319 34 73 14.6000 13.7% 30.3 37.3
12 M249 PARA Light Machine Gun 106,575 7,996 307,220 1,127 2,177 13.7785 7.5% 38.4 49.0
13 H&K MP5-Navy 4,812 855 14,170 41 98 10.8889 17.8% 16.6 49.1
14 Colt M4A1 Carbine 412,220 50,046 1,571,024 4,930 11,192 10.7100 12.1% 31.4 36.8
15 Kalashnikov AK-47 643,473 80,385 3,223,640 12,127 23,387 9.8930 12.5% 40.1 27.5
16 FN P90 74,313 8,352 194,796 642 1,456 9.8378 11.2% 23.3 51.0
17 H&K USP .45 Tactical 5,346 974 20,439 73 147 7.7368 18.2% 21.0 36.4
18 Glock 18 Select Fire 5,437 989 17,013 52 110 7.3333 18.2% 17.2 49.4
19 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
20 Arctic Warfare Magnum (Police) 11,406 3,899 518,230 432 2,723 5.4243 34.2% 132.9 4.2
21 Desert Eagle .50AE 64,620 17,109 895,843 3,408 6,260 4.4147 26.5% 52.4 10.3
22 Steyr Scout 50,915 15,197 1,450,773 3,715 6,308 2.6460 29.8% 95.5 8.1
23 Benelli M3 Super 90 Combat 3,525 7,135 101,879 317 796 2.3620 202.4% 14.3 4.4
24 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
25 Bundeswehr Advanced Combat Knife 21,575 1,285 66,522 2 444 1.6087 6.0% 51.8 48.6




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 80,385 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 50,046 28.0% 58.7% 13.3%
3 Desert Eagle .50AE 17,109 26.0% 61.5% 12.6%
4 Steyr Scout 15,172 26.4% 64.8% 8.8%
5 FN P90 8,352 28.2% 56.1% 15.8%
6 M249 PARA Light Machine Gun 7,996 28.0% 57.9% 14.1%
7 Benelli M3 Super 90 Combat 7,135 29.2% 57.8% 13.0%
8 Sig Sauer SG-552 Commando 5,189 28.8% 56.0% 15.1%
9 Sig Sauer P-228 5,173 29.1% 57.0% 13.9%
10 Arctic Warfare Magnum (Police) 3,899 32.6% 57.7% 9.7%
11 Glock 18 Select Fire 989 26.0% 61.5% 12.5%
12 Benelli/H&K M4 Super 90 XM1014 986 27.2% 56.3% 16.5%
13 H&K USP .45 Tactical 974 23.8% 62.8% 13.3%
14 Dual Beretta 96G Elite 929 24.5% 61.5% 14.0%
15 Ingram MAC-10 864 26.7% 58.9% 14.4%
16 H&K MP5-Navy 855 29.4% 56.3% 14.4%
17 Galil 530 28.1% 55.5% 16.4%
18 Steyr Tactical Machine Pistol 452 26.8% 62.8% 10.4%
19 Steyr Aug 373 28.2% 56.0% 15.8%
20 FN Five-Seven 371 20.5% 65.8% 13.7%
21 H&K UMP45 270 24.8% 55.2% 20.0%
22 Fusil Automatique 147 21.1% 61.9% 17.0%
23 Bundeswehr Advanced Combat Knife 62 24.2% 71.0% 4.8%
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 / 359489 * 100, 2) AS kpercent,
			ROUND(headshots / 132992 * 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