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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.07%
Members: 28 active members (74 total)
Avg. Member Points: 11,680
Total Kills: 343,679
Total Deaths: 295,714
Avg. Kills: 12,274
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 384d 20:08:45h
Avg. Connection Time: 13d 17:51:44h
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 33,787 46d 21:12:43h 69,011 20.08% 31,407 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.14% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.25% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,599 5d 12:31:39h 6,602 1.92% 4,435 1.49
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.36% 10,412 1.11
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.60% 12,180 1.58
7  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.24% 3,263 1.31
8  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 12.26% 38,689 1.09
9  Russian federationИлья190RUS elorank 12,673 3d 19:17:12h 3,977 1.16% 3,458 1.15
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.90% 1,465 2.12
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.11% 15,207 1.15
12  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.77% 12,310 1.05
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 4.03% 13,411 1.03
14  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.84% 15,929 1.48
15  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,963 3d 12:02:46h 3,320 0.97% 3,500 0.95
16  Russian federationShalfeYka elorank 9,929 2d 00:54:08h 1,783 0.52% 1,789 1.00
17  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.30% 5,036 0.88
18  Russian federationBISON elorank 9,767 8d 08:40:36h 5,475 1.59% 8,287 0.66
19  Russian federationLoony elorank 9,616 30d 09:51:43h 19,993 5.82% 22,172 0.90
20  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.39% 6,243 0.76


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Mega Kill (6 kills) 4 times 20
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 48 times 192
6 Start Defusing the Bomb Without a Defuse Kit 65 times 0
7 Domination (4 kills) 450 times 1,350
8 Defuse the Bomb 491 times 4,910
9 Start Defusing the Bomb With a Defuse Kit 682 times 0
10 Revenge 1,640 times 4,920
11 Triple Kill (3 kills) 2,531 times 5,062
12 Domination 3,276 times 16,380
13 Plant the Bomb 4,702 times 47,020
14 Double Kill (2 kills) 10,588 times 10,588
15 Drop the Bomb 12,456 times -24912
16 Round MVP 16,695 times 0
17 Pick up the Bomb 22,451 times 44,902
18 Headshot 26,507 times 26,507




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 1,919 times -5757
2 Domination 2,639 times -13195




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,105 times 28.01%
2 Counter-Terrorist 2,379 times 21.46%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 19,076 5.55% 9,671 7.45% 0.51
2 Colt M4A1 Carbine 1.00 11,531 3.36% 5,204 4.01% 0.45
3 Desert Eagle .50AE 1.20 6,393 1.86% 3,575 2.75% 0.56
4 Steyr Scout 1.10 5,798 1.69% 3,646 2.81% 0.63
5 High Explosive Grenade 1.80 2,468 0.72% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,400 0.70% 397 0.31% 0.17
7 M249 PARA Light Machine Gun 1.20 2,154 0.63% 1,050 0.81% 0.49
8 Bundeswehr Advanced Combat Knife 2.00 1,645 0.48% 2 0.00% 0.00
9 FN P90 1.20 1,520 0.44% 672 0.52% 0.44
10 Sig Sauer P-228 1.50 1,250 0.36% 529 0.41% 0.42
11 Sig Sauer SG-552 Commando 1.00 959 0.28% 424 0.33% 0.44
12 Benelli M3 Super 90 Combat 1.20 630 0.18% 264 0.20% 0.42
13 Dual Beretta 96G Elite 1.40 224 0.07% 102 0.08% 0.46
14 H&K USP .45 Tactical 1.40 133 0.04% 67 0.05% 0.50
15 Galil 1.10 120 0.03% 50 0.04% 0.42
16 Ingram MAC-10 1.50 119 0.03% 59 0.05% 0.50
17 H&K MP5-Navy 1.20 105 0.03% 46 0.04% 0.44
18 Glock 18 Select Fire 1.40 104 0.03% 50 0.04% 0.48
19 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
20 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
21 Steyr Tactical Machine Pistol 1.50 59 0.02% 30 0.02% 0.51
22 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
23 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
24 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon sort-descending.gif Shots Hits Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Benelli/H&K M4 Super 90 XM1014 1,346 924 10,916 28 75 15.0000 68.6% 11.8 17.9
2 H&K USP .45 Tactical 5,115 926 19,109 66 132 10.1538 18.1% 20.6 38.8
3 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
4 Steyr Tactical Machine Pistol 4,010 502 8,977 29 58 58.0000 12.5% 17.9 69.1
5 Sig Sauer SG-552 Commando 74,045 4,951 143,106 437 975 37.5000 6.7% 28.9 75.9
6 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
7 Steyr Scout 46,634 13,984 1,337,087 3,639 5,792 2.3974 30.0% 95.6 8.1
8 FN P90 76,012 8,625 201,701 672 1,520 9.9346 11.3% 23.4 50.0
9 Sig Sauer P-228 33,771 5,229 160,866 529 1,250 23.1481 15.5% 30.8 27.0
10 H&K MP5-Navy 4,960 905 15,133 45 103 11.4444 18.2% 16.7 48.2
11 Ingram MAC-10 5,038 844 15,369 58 116 29.0000 16.8% 18.2 43.4
12 Colt M4A1 Carbine 410,219 51,030 1,619,652 5,201 11,528 10.9167 12.4% 31.7 35.6
13 Benelli M3 Super 90 Combat 2,828 5,725 82,872 264 630 2.1356 202.4% 14.5 4.5
14 M249 PARA Light Machine Gun 112,481 8,308 312,606 1,102 2,212 13.3253 7.4% 37.6 50.9
15 Bundeswehr Advanced Combat Knife 12,039 1,153 60,282 2 402 1.7555 9.6% 52.3 29.9
16 Glock 18 Select Fire 5,185 898 15,794 49 102 6.8000 17.3% 17.6 50.8
17 Galil 3,410 500 16,691 50 120 60.0000 14.7% 33.4 28.4
18 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
19 FN Five-Seven 1,360 334 8,810 29 60 30.0000 24.6% 26.4 22.7
20 Fusil Automatique 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
21 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
22 Desert Eagle .50AE 69,465 17,958 935,844 3,609 6,433 4.3881 25.9% 52.1 10.8
23 Arctic Warfare Magnum (Police) 10,029 3,468 466,604 404 2,408 5.0695 34.6% 134.5 4.2
24 Steyr Aug 3,010 428 12,647 40 81 11.5714 14.2% 29.5 37.2
25 Kalashnikov AK-47 581,087 69,196 2,737,217 10,099 19,605 9.3268 11.9% 39.6 29.6




  Weapon Targets *

Rank Weapon sort-descending.gif Hits Left Middle Right
1 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
2 H&K USP .45 Tactical 926 25.1% 62.6% 12.3%
3 H&K UMP45 269 26.4% 53.5% 20.1%
4 Steyr Tactical Machine Pistol 502 25.7% 63.1% 11.2%
5 Sig Sauer SG-552 Commando 4,951 28.8% 55.9% 15.3%
6 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
7 Steyr Scout 13,959 26.4% 64.9% 8.7%
8 FN P90 8,625 28.0% 56.3% 15.7%
9 Sig Sauer P-228 5,229 28.6% 57.7% 13.7%
10 H&K MP5-Navy 905 28.4% 56.8% 14.8%
11 Ingram MAC-10 844 26.4% 58.4% 15.2%
12 Colt M4A1 Carbine 51,030 27.9% 59.1% 13.1%
13 Benelli M3 Super 90 Combat 5,725 29.4% 57.5% 13.1%
14 M249 PARA Light Machine Gun 8,308 28.2% 57.3% 14.5%
15 Bundeswehr Advanced Combat Knife 53 24.5% 67.9% 7.5%
16 Glock 18 Select Fire 898 26.6% 62.1% 11.2%
17 Galil 500 28.8% 55.6% 15.6%
18 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
19 FN Five-Seven 334 23.7% 62.0% 14.4%
20 Fusil Automatique 214 22.0% 63.6% 14.5%
21 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
22 Desert Eagle .50AE 17,958 26.2% 61.7% 12.1%
23 Arctic Warfare Magnum (Police) 3,468 32.6% 57.6% 9.8%
24 Steyr Aug 428 27.8% 57.2% 15.0%
25 Kalashnikov AK-47 69,196 27.1% 59.1% 13.8%


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 / 343679 * 100, 2) AS kpercent,
			ROUND(headshots / 129789 * 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