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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.38%
Members: 31 active members (75 total)
Avg. Member Points: 11,389
Total Kills: 374,788
Total Deaths: 311,958
Avg. Kills: 12,090
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 408d 13:56:37h
Avg. Connection Time: 13d 04:19:14h
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 34,028 46d 20:02:00h 68,946 18.40% 31,366 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.88% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.65% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.68% 16,883 1.93
5  Russian federationубивашка 62 elorank 15,667 4d 10:38:55h 5,212 1.39% 3,661 1.42
6  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.08% 10,412 1.11
7  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.14% 12,180 1.58
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.14% 3,263 1.31
9  Russian federationKAZANTIP elorank 12,701 49d 21:12:27h 42,010 11.21% 38,583 1.09
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.83% 1,465 2.12
11  Russian federationИлья190RUS elorank 12,528 3d 16:10:37h 3,856 1.03% 3,327 1.16
12  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.68% 15,207 1.15
13  Russian federationStanislav752 elorank 10,881 15d 02:34:40h 12,532 3.34% 11,860 1.06
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.70% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.27% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,227 3d 09:51:28h 3,247 0.87% 3,410 0.95
17  Russian federationShalfeYka elorank 9,965 1d 21:28:34h 1,645 0.44% 1,663 0.99
18  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.19% 5,021 0.89
19  Russian federationBISON elorank 9,781 7d 18:19:32h 5,119 1.37% 7,718 0.66
20  Russian federationYota ʚɞ elorank 9,712 2d 12:31:40h 1,472 0.39% 1,952 0.75


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 30,102 times 30,102
2 Pick up the Bomb 25,008 times 50,016
3 Round MVP 18,382 times 0
4 Drop the Bomb 13,675 times -27350
5 Double Kill (2 kills) 11,539 times 11,539
6 Plant the Bomb 5,444 times 54,440
7 Domination 3,614 times 18,070
8 Triple Kill (3 kills) 2,822 times 5,644
9 Revenge 1,783 times 5,349
10 Start Defusing the Bomb With a Defuse Kit 739 times 0
11 Defuse the Bomb 539 times 5,390
12 Domination (4 kills) 503 times 1,509
13 Start Defusing the Bomb Without a Defuse Kit 74 times 0
14 Rampage (5 kills) 53 times 212
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 Points Bonus sort-descending.gif
1 Revenge 2,149 times -6447
2 Domination 2,883 times -14415




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,589 times 21.37%
2 Terrorist 3,390 times 27.98%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-ascending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
3 Fusil Automatique 1.00 40 0.01% 18 0.01% 0.45
4 FN Five-Seven 1.50 58 0.02% 28 0.02% 0.48
5 Steyr Tactical Machine Pistol 1.50 59 0.02% 31 0.02% 0.53
6 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 29 0.02% 0.36
7 Steyr Aug 1.00 86 0.02% 41 0.03% 0.48
8 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
9 Glock 18 Select Fire 1.40 114 0.03% 54 0.04% 0.47
10 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
11 Galil 1.10 125 0.03% 52 0.04% 0.42
12 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
13 Dual Beretta 96G Elite 1.40 222 0.06% 101 0.07% 0.45
14 Benelli M3 Super 90 Combat 1.20 797 0.21% 320 0.23% 0.40
15 Sig Sauer SG-552 Commando 1.00 1,028 0.27% 455 0.33% 0.44
16 Sig Sauer P-228 1.50 1,263 0.34% 524 0.37% 0.41
17 FN P90 1.20 1,471 0.39% 654 0.47% 0.44
18 Bundeswehr Advanced Combat Knife 2.00 1,672 0.45% 2 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 2,086 0.56% 1,037 0.74% 0.50
20 High Explosive Grenade 1.80 2,706 0.72% 0 0.00% 0.00
21 Arctic Warfare Magnum (Police) 1.00 2,841 0.76% 464 0.33% 0.16
22 Steyr Scout 1.10 6,599 1.76% 4,012 2.87% 0.61
23 Desert Eagle .50AE 1.20 6,789 1.81% 3,696 2.64% 0.54
24 Colt M4A1 Carbine 1.00 12,410 3.31% 5,584 3.99% 0.45
25 Kalashnikov AK-47 1.00 21,711 5.79% 10,906 7.79% 0.50




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
3 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
4 Fusil Automatique 1,081 192 5,897 17 38 38.0000 17.8% 30.7 28.4
5 Steyr Tactical Machine Pistol 3,871 492 8,827 31 59 59.0000 12.7% 17.9 65.6
6 FN Five-Seven 1,383 381 10,110 37 70 35.0000 27.5% 26.5 19.8
7 Benelli/H&K M4 Super 90 XM1014 1,430 1,000 11,659 29 81 16.2000 69.9% 11.7 17.7
8 Steyr Aug 3,150 449 13,317 41 86 12.2857 14.3% 29.7 36.6
9 H&K MP5-Navy 4,887 886 14,719 43 100 11.1111 18.1% 16.6 48.9
10 Glock 18 Select Fire 5,469 985 17,083 53 112 7.4667 18.0% 17.3 48.8
11 Ingram MAC-10 5,114 864 15,804 60 119 29.7500 16.9% 18.3 43.0
12 Galil 3,713 534 17,592 52 125 62.5000 14.4% 32.9 29.7
13 H&K USP .45 Tactical 5,636 1,004 20,904 72 147 10.5000 17.8% 20.8 38.3
14 Dual Beretta 96G Elite 5,457 1,095 30,427 101 222 74.0000 20.1% 27.8 24.6
15 Bundeswehr Advanced Combat Knife 21,610 1,313 68,095 2 451 1.5825 6.1% 51.9 47.9
16 Benelli M3 Super 90 Combat 3,530 7,220 102,641 320 797 2.3372 204.5% 14.2 4.4
17 Sig Sauer SG-552 Commando 75,795 5,246 152,579 468 1,044 37.2857 6.9% 29.1 72.6
18 Sig Sauer P-228 32,054 5,151 160,096 524 1,263 22.9636 16.1% 31.1 25.4
19 FN P90 74,448 8,415 196,513 654 1,471 9.9392 11.3% 23.4 50.6
20 M249 PARA Light Machine Gun 109,656 8,262 315,868 1,151 2,235 13.7963 7.5% 38.2 49.1
21 Arctic Warfare Magnum (Police) 11,731 4,081 548,150 471 2,849 5.3153 34.8% 134.3 4.1
22 Steyr Scout 54,122 16,180 1,548,047 4,068 6,704 2.5588 29.9% 95.7 8.1
23 Desert Eagle .50AE 75,159 19,783 1,036,113 4,020 7,170 4.5237 26.3% 52.4 10.5
24 Colt M4A1 Carbine 439,439 54,950 1,738,551 5,588 12,414 10.6925 12.5% 31.6 35.4
25 Kalashnikov AK-47 646,055 80,739 3,236,204 12,225 23,377 9.4874 12.5% 40.1 27.6




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle 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 63 22.2% 73.0% 4.8%
4 Fusil Automatique 192 20.3% 64.1% 15.6%
5 H&K UMP45 270 24.8% 55.2% 20.0%
6 FN Five-Seven 381 21.0% 65.6% 13.4%
7 Steyr Aug 449 28.3% 56.8% 14.9%
8 Steyr Tactical Machine Pistol 492 25.4% 63.0% 11.6%
9 Galil 534 27.9% 55.4% 16.7%
10 Ingram MAC-10 864 26.7% 58.9% 14.4%
11 H&K MP5-Navy 886 28.6% 56.5% 14.9%
12 Glock 18 Select Fire 985 26.1% 61.5% 12.4%
13 Benelli/H&K M4 Super 90 XM1014 1,000 27.1% 56.6% 16.3%
14 H&K USP .45 Tactical 1,004 24.3% 63.0% 12.6%
15 Dual Beretta 96G Elite 1,095 24.9% 61.5% 13.6%
16 Arctic Warfare Magnum (Police) 4,081 32.4% 57.7% 9.9%
17 Sig Sauer P-228 5,151 29.1% 57.1% 13.8%
18 Sig Sauer SG-552 Commando 5,246 28.8% 56.0% 15.1%
19 Benelli M3 Super 90 Combat 7,220 29.1% 58.0% 13.0%
20 M249 PARA Light Machine Gun 8,262 28.0% 57.9% 14.1%
21 FN P90 8,415 28.1% 56.4% 15.5%
22 Steyr Scout 16,155 26.3% 65.0% 8.8%
23 Desert Eagle .50AE 19,783 25.8% 62.0% 12.1%
24 Colt M4A1 Carbine 54,950 27.7% 59.2% 13.0%
25 Kalashnikov AK-47 80,740 26.6% 59.8% 13.5%


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 / 374788 * 100, 2) AS kpercent,
			ROUND(headshots / 139973 * 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