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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.90%
Members: 31 active members (75 total)
Avg. Member Points: 11,356
Total Kills: 374,385
Total Deaths: 311,564
Avg. Kills: 12,077
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 408d 02:58:18h
Avg. Connection Time: 13d 03:58:00h
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 18.42% 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 6.66% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.69% 16,883 1.93
5  Russian federationубивашка 62 elorank 15,246 4d 08:45:20h 5,105 1.36% 3,613 1.41
6  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.09% 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 11.22% 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 12,358 3d 14:05:41h 3,759 1.00% 3,235 1.16
12  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.69% 15,207 1.15
13  Russian federationStanislav752 elorank 10,804 15d 00:38:50h 12,469 3.33% 11,801 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 6.28% 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 federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.19% 5,021 0.89
18  Russian federationShalfeYka elorank 9,799 1d 19:38:39h 1,586 0.42% 1,599 0.99
19  Russian federationYota ʚɞ elorank 9,712 2d 12:31:40h 1,472 0.39% 1,952 0.75
20  Russian federationBISON elorank 9,604 7d 15:47:27h 5,060 1.35% 7,620 0.66


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) 513 times 1,539
8 Defuse the Bomb 545 times 5,450
9 Start Defusing the Bomb With a Defuse Kit 747 times 0
10 Revenge 1,788 times 5,364
11 Triple Kill (3 kills) 2,864 times 5,728
12 Domination 3,635 times 18,175
13 Plant the Bomb 5,513 times 55,130
14 Double Kill (2 kills) 11,632 times 11,632
15 Drop the Bomb 13,802 times -27604
16 Round MVP 18,529 times 0
17 Pick up the Bomb 25,217 times 50,434
18 Headshot 30,318 times 30,318




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 2,158 times -6474
2 Domination 2,896 times -14480




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,413 times 28.04%
2 Counter-Terrorist 2,593 times 21.31%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots sort-descending.gif Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 22,115 5.91% 11,075 7.92% 0.50
2 Colt M4A1 Carbine 1.00 12,422 3.32% 5,600 4.01% 0.45
3 Steyr Scout 1.10 6,651 1.78% 4,049 2.90% 0.61
4 Desert Eagle .50AE 1.20 6,800 1.82% 3,701 2.65% 0.54
5 M249 PARA Light Machine Gun 1.20 2,068 0.55% 1,029 0.74% 0.50
6 FN P90 1.20 1,445 0.39% 641 0.46% 0.44
7 Sig Sauer P-228 1.50 1,263 0.34% 524 0.37% 0.41
8 Arctic Warfare Magnum (Police) 1.00 2,901 0.77% 473 0.34% 0.16
9 Sig Sauer SG-552 Commando 1.00 1,032 0.28% 457 0.33% 0.44
10 Benelli M3 Super 90 Combat 1.20 816 0.22% 323 0.23% 0.40
11 Dual Beretta 96G Elite 1.40 197 0.05% 94 0.07% 0.48
12 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
13 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
14 Glock 18 Select Fire 1.40 112 0.03% 53 0.04% 0.47
15 Galil 1.10 125 0.03% 52 0.04% 0.42
16 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
17 Steyr Aug 1.00 86 0.02% 41 0.03% 0.48
18 Steyr Tactical Machine Pistol 1.50 61 0.02% 33 0.02% 0.54
19 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 29 0.02% 0.36
20 FN Five-Seven 1.50 58 0.02% 28 0.02% 0.48
21 Fusil Automatique 1.00 44 0.01% 20 0.01% 0.45
22 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
23 Bundeswehr Advanced Combat Knife 2.00 1,669 0.45% 2 0.00% 0.00
24 High Explosive Grenade 1.80 2,730 0.73% 0 0.00% 0.00
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-47 651,025 82,098 3,290,421 12,394 23,781 9.4519 12.6% 40.1 27.4
2 Colt M4A1 Carbine 439,853 55,028 1,740,798 5,604 12,426 10.7584 12.5% 31.6 35.4
3 Desert Eagle .50AE 75,066 19,786 1,037,348 4,025 7,181 4.5363 26.4% 52.4 10.5
4 Steyr Scout 54,288 16,301 1,560,892 4,105 6,756 2.5678 30.0% 95.8 8.0
5 Arctic Warfare Magnum (Police) 11,909 4,151 558,672 480 2,909 5.2891 34.9% 134.6 4.1
6 M249 PARA Light Machine Gun 108,671 8,178 313,273 1,143 2,217 13.7702 7.5% 38.3 49.0
7 FN P90 74,071 8,282 193,284 641 1,445 9.7635 11.2% 23.3 51.3
8 Sig Sauer P-228 31,929 5,149 160,024 524 1,263 22.9636 16.1% 31.1 25.3
9 Sig Sauer SG-552 Commando 75,923 5,260 153,103 470 1,048 37.4286 6.9% 29.1 72.4
10 Benelli M3 Super 90 Combat 3,641 7,379 104,615 323 816 2.4142 202.7% 14.2 4.5
11 Bundeswehr Advanced Combat Knife 21,618 1,301 67,512 2 449 1.5866 6.0% 51.9 48.1
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 5,694 1,013 21,047 72 147 10.5000 17.8% 20.8 38.7
14 Galil 3,721 534 17,592 52 125 62.5000 14.4% 32.9 29.8
15 Ingram MAC-10 5,114 864 15,804 60 119 29.7500 16.9% 18.3 43.0
16 Glock 18 Select Fire 5,468 978 16,868 52 110 7.3333 17.9% 17.2 49.7
17 H&K MP5-Navy 4,887 886 14,719 43 100 11.1111 18.1% 16.6 48.9
18 Steyr Aug 3,150 449 13,317 41 86 12.2857 14.3% 29.7 36.6
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 sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 82,098 26.7% 59.7% 13.6%
2 Colt M4A1 Carbine 55,028 27.7% 59.3% 13.0%
3 Desert Eagle .50AE 19,786 25.8% 62.1% 12.2%
4 Steyr Scout 16,276 26.3% 65.0% 8.7%
5 FN P90 8,282 28.2% 56.2% 15.6%
6 M249 PARA Light Machine Gun 8,178 27.9% 58.0% 14.1%
7 Benelli M3 Super 90 Combat 7,379 29.3% 57.5% 13.2%
8 Sig Sauer SG-552 Commando 5,260 28.8% 56.1% 15.1%
9 Sig Sauer P-228 5,149 29.1% 57.1% 13.8%
10 Arctic Warfare Magnum (Police) 4,151 32.5% 57.7% 9.8%
11 H&K USP .45 Tactical 1,013 24.0% 63.4% 12.6%
12 Benelli/H&K M4 Super 90 XM1014 1,007 27.3% 56.3% 16.4%
13 Dual Beretta 96G Elite 981 25.7% 60.7% 13.7%
14 Glock 18 Select Fire 978 26.2% 61.3% 12.5%
15 H&K MP5-Navy 886 28.6% 56.5% 14.9%
16 Ingram MAC-10 864 26.7% 58.9% 14.4%
17 Galil 534 27.9% 55.4% 16.7%
18 Steyr Tactical Machine Pistol 514 25.1% 62.8% 12.1%
19 Steyr Aug 449 28.3% 56.8% 14.9%
20 FN Five-Seven 381 21.0% 65.6% 13.4%
21 H&K UMP45 270 24.8% 55.2% 20.0%
22 Fusil Automatique 207 19.8% 65.2% 15.0%
23 Bundeswehr Advanced Combat Knife 63 22.2% 73.0% 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 / 374385 * 100, 2) AS kpercent,
			ROUND(headshots / 139800 * 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