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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: 11,679
Total Kills: 343,672
Total Deaths: 295,714
Avg. Kills: 12,274
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 384d 20:04:41h
Avg. Connection Time: 13d 17:51:35h
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 17,558 5d 12:27:35h 6,595 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) 10,586 times 10,586
15 Drop the Bomb 12,456 times -24912
16 Round MVP 16,692 times 0
17 Pick up the Bomb 22,450 times 44,900
18 Headshot 26,502 times 26,502




  Victims of Player-Player Actions *

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




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,103 times 28.00%
2 Counter-Terrorist 2,378 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 19,072 5.55% 9,668 7.45% 0.51
2 Colt M4A1 Carbine 1.00 11,529 3.35% 5,203 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 5,797 1.69% 3,645 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 Shots Hits Damage Headshots Kills sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 581,037 69,185 2,736,549 10,095 19,600 9.3289 11.9% 39.6 29.6
2 Colt M4A1 Carbine 410,205 51,025 1,619,477 5,200 11,526 10.9148 12.4% 31.7 35.6
3 Desert Eagle .50AE 69,458 17,956 935,793 3,609 6,433 4.3881 25.9% 52.1 10.8
4 Steyr Scout 46,633 13,983 1,336,863 3,638 5,791 2.3969 30.0% 95.6 8.1
5 Arctic Warfare Magnum (Police) 10,029 3,468 466,604 404 2,408 5.0695 34.6% 134.5 4.2
6 M249 PARA Light Machine Gun 112,481 8,308 312,606 1,102 2,212 13.3253 7.4% 37.6 50.9
7 FN P90 76,012 8,625 201,701 672 1,520 9.9346 11.3% 23.4 50.0
8 Sig Sauer P-228 33,771 5,229 160,866 529 1,250 23.1481 15.5% 30.8 27.0
9 Sig Sauer SG-552 Commando 74,045 4,951 143,106 437 975 37.5000 6.7% 28.9 75.9
10 Benelli M3 Super 90 Combat 2,828 5,725 82,872 264 630 2.1356 202.4% 14.5 4.5
11 Bundeswehr Advanced Combat Knife 12,039 1,153 60,282 2 402 1.7555 9.6% 52.3 29.9
12 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
13 H&K USP .45 Tactical 5,115 926 19,109 66 132 10.1538 18.1% 20.6 38.8
14 Galil 3,410 500 16,691 50 120 60.0000 14.7% 33.4 28.4
15 Ingram MAC-10 5,038 844 15,369 58 116 29.0000 16.8% 18.2 43.4
16 H&K MP5-Navy 4,960 905 15,133 45 103 11.4444 18.2% 16.7 48.2
17 Glock 18 Select Fire 5,185 898 15,794 49 102 6.8000 17.3% 17.6 50.8
18 Steyr Aug 3,010 428 12,647 40 81 11.5714 14.2% 29.5 37.2
19 Benelli/H&K M4 Super 90 XM1014 1,346 924 10,916 28 75 15.0000 68.6% 11.8 17.9
20 FN Five-Seven 1,360 334 8,810 29 60 30.0000 24.6% 26.4 22.7
21 Steyr Tactical Machine Pistol 4,010 502 8,977 29 58 58.0000 12.5% 17.9 69.1
22 Fusil Automatique 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
23 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
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 sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 69,185 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 51,025 27.9% 59.1% 13.1%
3 Desert Eagle .50AE 17,956 26.2% 61.7% 12.1%
4 Steyr Scout 13,958 26.4% 64.9% 8.7%
5 FN P90 8,625 28.0% 56.3% 15.7%
6 M249 PARA Light Machine Gun 8,308 28.2% 57.3% 14.5%
7 Benelli M3 Super 90 Combat 5,725 29.4% 57.5% 13.1%
8 Sig Sauer P-228 5,229 28.6% 57.7% 13.7%
9 Sig Sauer SG-552 Commando 4,951 28.8% 55.9% 15.3%
10 Arctic Warfare Magnum (Police) 3,468 32.6% 57.6% 9.8%
11 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
12 H&K USP .45 Tactical 926 25.1% 62.6% 12.3%
13 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
14 H&K MP5-Navy 905 28.4% 56.8% 14.8%
15 Glock 18 Select Fire 898 26.6% 62.1% 11.2%
16 Ingram MAC-10 844 26.4% 58.4% 15.2%
17 Steyr Tactical Machine Pistol 502 25.7% 63.1% 11.2%
18 Galil 500 28.8% 55.6% 15.6%
19 Steyr Aug 428 27.8% 57.2% 15.0%
20 FN Five-Seven 334 23.7% 62.0% 14.4%
21 H&K UMP45 269 26.4% 53.5% 20.1%
22 Fusil Automatique 214 22.0% 63.6% 14.5%
23 Bundeswehr Advanced Combat Knife 53 24.5% 67.9% 7.5%
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 / 343672 * 100, 2) AS kpercent,
			ROUND(headshots / 129784 * 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