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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.55%
Members: 29 active members (75 total)
Avg. Member Points: 11,659
Total Kills: 347,194
Total Deaths: 298,555
Avg. Kills: 11,972
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 388d 07:06:11h
Avg. Connection Time: 13d 09:20:54h
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 19.88% 31,407 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.10% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.18% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,586 5d 16:27:45h 6,826 1.97% 4,564 1.50
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.33% 10,412 1.11
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.54% 12,180 1.58
7  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31
8  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 12.13% 38,689 1.09
9  Russian federationИлья190RUS elorank 12,673 3d 19:17:12h 3,977 1.15% 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 5.05% 15,207 1.15
12  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.73% 12,310 1.05
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.99% 13,411 1.03
14  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.84% 2,272 1.28
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.77% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,119 3d 14:17:47h 3,430 0.99% 3,610 0.95
17  Russian federationBISON elorank 9,997 8d 15:34:32h 5,697 1.64% 8,585 0.66
18  Russian federationShalfeYka elorank 9,929 2d 00:54:08h 1,783 0.51% 1,789 1.00
19  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.28% 5,036 0.88
20  Russian federationLoony elorank 9,616 30d 09:51:43h 19,993 5.76% 22,172 0.90


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-ascending.gif
1 Drop the Bomb 12,559 times -25118
2 Kill a Hostage 18 times -270
3 Round MVP 16,910 times 0
4 Start Defusing the Bomb With a Defuse Kit 685 times 0
5 Start Defusing the Bomb Without a Defuse Kit 65 times 0
6 Touch a Hostage 4 times 0
7 Rescue a Hostage 1 times 5
8 Mega Kill (6 kills) 4 times 20
9 Rampage (5 kills) 48 times 192
10 Domination (4 kills) 450 times 1,350
11 Defuse the Bomb 496 times 4,960
12 Revenge 1,664 times 4,992
13 Triple Kill (3 kills) 2,553 times 5,106
14 Double Kill (2 kills) 10,702 times 10,702
15 Domination 3,312 times 16,560
16 Headshot 26,796 times 26,796
17 Pick up the Bomb 22,697 times 45,394
18 Plant the Bomb 4,736 times 47,360




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,669 times -13345
2 Revenge 1,947 times -5841




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 3,120 times 27.97%
2 Counter-Terrorist 2,400 times 21.52%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots sort-descending.gif Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 19,135 5.51% 9,705 7.38% 0.51
2 Colt M4A1 Carbine 1.00 11,642 3.35% 5,246 3.99% 0.45
3 Steyr Scout 1.10 5,936 1.71% 3,736 2.84% 0.63
4 Desert Eagle .50AE 1.20 6,490 1.87% 3,620 2.75% 0.56
5 M249 PARA Light Machine Gun 1.20 2,263 0.65% 1,094 0.83% 0.48
6 FN P90 1.20 1,554 0.45% 689 0.52% 0.44
7 Sig Sauer P-228 1.50 1,247 0.36% 528 0.40% 0.42
8 Sig Sauer SG-552 Commando 1.00 963 0.28% 428 0.33% 0.44
9 Arctic Warfare Magnum (Police) 1.00 2,415 0.70% 403 0.31% 0.17
10 Benelli M3 Super 90 Combat 1.20 641 0.18% 269 0.20% 0.42
11 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 0.46
12 H&K USP .45 Tactical 1.40 132 0.04% 67 0.05% 0.51
13 Ingram MAC-10 1.50 119 0.03% 59 0.04% 0.50
14 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
15 Galil 1.10 120 0.03% 50 0.04% 0.42
16 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
17 Steyr Aug 1.00 75 0.02% 37 0.03% 0.49
18 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
19 Steyr Tactical Machine Pistol 1.50 59 0.02% 30 0.02% 0.51
20 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
21 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
22 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
23 Bundeswehr Advanced Combat Knife 2.00 1,643 0.47% 2 0.00% 0.00
24 High Explosive Grenade 1.80 2,493 0.72% 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-47 579,571 69,367 2,744,628 10,133 19,664 9.3327 12.0% 39.6 29.5
2 Colt M4A1 Carbine 409,422 51,482 1,633,979 5,243 11,639 11.0009 12.6% 31.7 35.2
3 Desert Eagle .50AE 70,644 18,235 948,526 3,654 6,530 4.3533 25.8% 52.0 10.8
4 Steyr Scout 47,629 14,319 1,367,724 3,729 5,930 2.3787 30.1% 95.5 8.0
5 Arctic Warfare Magnum (Police) 10,054 3,485 469,976 410 2,423 5.0797 34.7% 134.9 4.1
6 M249 PARA Light Machine Gun 116,888 8,717 327,233 1,146 2,321 12.2158 7.5% 37.5 50.4
7 FN P90 76,879 8,792 205,929 689 1,554 10.1569 11.4% 23.4 49.5
8 Sig Sauer P-228 33,627 5,210 160,437 528 1,247 23.0926 15.5% 30.8 27.0
9 Sig Sauer SG-552 Commando 74,059 4,965 143,734 441 979 37.6538 6.7% 28.9 75.6
10 Benelli M3 Super 90 Combat 2,911 5,843 84,375 269 641 2.1155 200.7% 14.4 4.5
11 Bundeswehr Advanced Combat Knife 12,006 1,151 60,027 2 399 1.7198 9.6% 52.2 30.1
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 5,125 923 19,012 66 131 10.0769 18.0% 20.6 39.1
14 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
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 5,207 905 15,932 50 103 6.8667 17.4% 17.6 50.6
18 Steyr Aug 2,941 403 11,985 38 76 10.8571 13.7% 29.7 38.7
19 Benelli/H&K M4 Super 90 XM1014 1,344 924 10,916 28 75 15.0000 68.8% 11.8 17.9
20 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
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 69,367 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 51,482 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 18,235 26.2% 61.6% 12.2%
4 Steyr Scout 14,294 26.4% 64.9% 8.7%
5 FN P90 8,792 28.0% 56.4% 15.6%
6 M249 PARA Light Machine Gun 8,717 28.4% 57.0% 14.6%
7 Benelli M3 Super 90 Combat 5,843 29.6% 57.3% 13.1%
8 Sig Sauer P-228 5,210 28.6% 57.7% 13.7%
9 Sig Sauer SG-552 Commando 4,965 28.8% 56.0% 15.3%
10 Arctic Warfare Magnum (Police) 3,485 32.5% 57.7% 9.8%
11 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
12 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
13 H&K USP .45 Tactical 923 24.9% 62.7% 12.4%
14 H&K MP5-Navy 905 28.4% 56.8% 14.8%
15 Glock 18 Select Fire 905 26.4% 62.3% 11.3%
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 403 27.3% 57.3% 15.4%
20 FN Five-Seven 344 23.3% 62.5% 14.2%
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 / 347194 * 100, 2) AS kpercent,
			ROUND(headshots / 131525 * 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