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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 76.29%
Members: 31 active members (75 total)
Avg. Member Points: 11,359
Total Kills: 374,269
Total Deaths: 311,476
Avg. Kills: 12,073
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 408d 00:21:41h
Avg. Connection Time: 13d 03:52:57h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points Activity Time Kills Clan Kills % Deaths Kpd sort-descending.gif
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,014 46d 19:33:15h 68,912 18.41% 31,355 2.20
2  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.83% 1,465 2.12
3  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.88% 5,572 1.93
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.69% 16,883 1.93
5  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.14% 12,180 1.58
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.28% 15,929 1.48
7  Russian federationубивашка 62 elorank 15,213 4d 08:15:45h 5,085 1.36% 3,602 1.41
8  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.28% 775 1.38
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.14% 3,263 1.31
10  Russian federationИлья190RUS elorank 12,385 3d 13:53:02h 3,752 1.00% 3,226 1.16
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.69% 15,207 1.15
12  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.09% 10,412 1.11
13  Russian federationKAZANTIP elorank 12,701 49d 21:12:27h 42,010 11.22% 38,583 1.09
14  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
15  Russian federationStanislav752 elorank 10,951 15d 00:03:07h 12,431 3.32% 11,777 1.06
16  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.66% 24,192 1.03
17  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.70% 13,411 1.03
18  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.13% 471 1.02
19  Russian federationShalfeYka elorank 9,799 1d 19:38:39h 1,586 0.42% 1,599 0.99
20  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,227 3d 09:51:28h 3,247 0.87% 3,410 0.95


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) 54 times 216
6 Start Defusing the Bomb Without a Defuse Kit 74 times 0
7 Domination (4 kills) 520 times 1,560
8 Defuse the Bomb 546 times 5,460
9 Start Defusing the Bomb With a Defuse Kit 748 times 0
10 Revenge 1,793 times 5,379
11 Triple Kill (3 kills) 2,885 times 5,770
12 Domination 3,657 times 18,285
13 Plant the Bomb 5,533 times 55,330
14 Double Kill (2 kills) 11,686 times 11,686
15 Drop the Bomb 13,892 times -27784
16 Round MVP 18,592 times 0
17 Pick up the Bomb 25,361 times 50,722
18 Headshot 30,487 times 30,487




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,906 times -14530
2 Revenge 2,170 times -6510




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,441 times 28.12%
2 Counter-Terrorist 2,598 times 21.23%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 22,390 5.98% 11,238 8.04% 0.50
2 Colt M4A1 Carbine 1.00 12,448 3.33% 5,607 4.01% 0.45
3 Desert Eagle .50AE 1.20 6,801 1.82% 3,702 2.65% 0.54
4 Steyr Scout 1.10 6,640 1.77% 4,041 2.89% 0.61
5 Arctic Warfare Magnum (Police) 1.00 2,908 0.78% 475 0.34% 0.16
6 High Explosive Grenade 1.80 2,744 0.73% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,064 0.55% 1,025 0.73% 0.50
8 Bundeswehr Advanced Combat Knife 2.00 1,680 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,453 0.39% 645 0.46% 0.44
10 Sig Sauer P-228 1.50 1,268 0.34% 524 0.37% 0.41
11 Sig Sauer SG-552 Commando 1.00 1,037 0.28% 459 0.33% 0.44
12 Benelli M3 Super 90 Combat 1.20 819 0.22% 324 0.23% 0.40
13 Dual Beretta 96G Elite 1.40 197 0.05% 94 0.07% 0.48
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 1.40 112 0.03% 53 0.04% 0.47
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 88 0.02% 42 0.03% 0.48
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 61 0.02% 33 0.02% 0.54
22 FN Five-Seven 1.50 58 0.02% 28 0.02% 0.48
23 Fusil Automatique 1.00 44 0.01% 20 0.01% 0.45
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-47 661,734 83,060 3,328,232 12,557 24,056 9.4523 12.6% 40.1 27.5
2 Colt M4A1 Carbine 441,054 55,132 1,743,701 5,611 12,452 10.7903 12.5% 31.6 35.4
3 Desert Eagle .50AE 75,111 19,794 1,037,777 4,026 7,182 4.5227 26.4% 52.4 10.5
4 Steyr Scout 54,265 16,285 1,558,361 4,097 6,745 2.5666 30.0% 95.7 8.0
5 Arctic Warfare Magnum (Police) 11,964 4,165 560,536 482 2,916 5.2635 34.8% 134.6 4.1
6 M249 PARA Light Machine Gun 108,302 8,152 312,044 1,139 2,213 13.6605 7.5% 38.3 48.9
7 FN P90 74,369 8,324 194,309 645 1,453 9.8176 11.2% 23.3 51.2
8 Sig Sauer P-228 32,042 5,169 160,587 524 1,268 22.6429 16.1% 31.1 25.3
9 Sig Sauer SG-552 Commando 76,024 5,280 153,777 472 1,053 37.6071 6.9% 29.1 72.2
10 Benelli M3 Super 90 Combat 3,660 7,418 105,127 324 819 2.4018 202.7% 14.2 4.5
11 Bundeswehr Advanced Combat Knife 21,701 1,301 67,576 2 449 1.5866 6.0% 51.9 48.3
12 Dual Beretta 96G Elite 5,051 981 27,243 94 197 65.6667 19.4% 27.8 25.6
13 H&K USP .45 Tactical 5,686 1,010 20,996 72 147 10.5000 17.8% 20.8 38.7
14 Galil 3,722 534 17,592 52 125 62.5000 14.3% 32.9 29.8
15 Ingram MAC-10 5,173 864 15,804 60 119 29.7500 16.7% 18.3 43.5
16 Glock 18 Select Fire 5,503 983 17,014 52 110 7.3333 17.9% 17.3 50.0
17 H&K MP5-Navy 4,887 886 14,719 43 100 11.1111 18.1% 16.6 48.9
18 Steyr Aug 3,167 455 13,635 42 88 11.0000 14.4% 30.0 36.0
19 Benelli/H&K M4 Super 90 XM1014 1,463 1,007 11,716 29 81 16.2000 68.8% 11.6 18.1
20 FN Five-Seven 1,383 381 10,110 37 70 35.0000 27.5% 26.5 19.8
21 Steyr Tactical Machine Pistol 4,193 514 9,241 33 61 61.0000 12.3% 18.0 68.7
22 Fusil Automatique 1,120 207 6,347 19 42 42.0000 18.5% 30.7 26.7
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 Middle Right sort-descending.gif
1 H&K UMP45 270 24.8% 55.2% 20.0%
2 Galil 534 27.9% 55.4% 16.7%
3 Benelli/H&K M4 Super 90 XM1014 1,007 27.3% 56.3% 16.4%
4 FN P90 8,324 28.2% 56.2% 15.7%
5 Sig Sauer SG-552 Commando 5,280 28.8% 56.1% 15.1%
6 Fusil Automatique 207 19.8% 65.2% 15.0%
7 H&K MP5-Navy 886 28.6% 56.5% 14.9%
8 Steyr Aug 455 28.1% 56.9% 14.9%
9 Ingram MAC-10 864 26.7% 58.9% 14.4%
10 M249 PARA Light Machine Gun 8,152 28.0% 57.9% 14.1%
11 Sig Sauer P-228 5,169 29.2% 57.1% 13.8%
12 Dual Beretta 96G Elite 981 25.7% 60.7% 13.7%
13 Kalashnikov AK-47 83,060 26.7% 59.7% 13.6%
14 FN Five-Seven 381 21.0% 65.6% 13.4%
15 Benelli M3 Super 90 Combat 7,418 29.3% 57.5% 13.2%
16 Colt M4A1 Carbine 55,132 27.7% 59.3% 13.0%
17 H&K USP .45 Tactical 1,010 24.0% 63.5% 12.6%
18 Glock 18 Select Fire 983 26.2% 61.3% 12.4%
19 Desert Eagle .50AE 19,794 25.8% 62.1% 12.2%
20 Steyr Tactical Machine Pistol 514 25.1% 62.8% 12.1%
21 Arctic Warfare Magnum (Police) 4,165 32.5% 57.7% 9.8%
22 Steyr Scout 16,260 26.3% 65.0% 8.7%
23 Bundeswehr Advanced Combat Knife 63 22.2% 73.0% 4.8%
24 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
25 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 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 / 374269 * 100, 2) AS kpercent,
			ROUND(headshots / 139739 * 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