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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 70.93%
Members: 29 active members (75 total)
Avg. Member Points: 11,755
Total Kills: 350,247
Total Deaths: 301,672
Avg. Kills: 12,077
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 391d 17:56:09h
Avg. Connection Time: 13d 12:12:16h
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 sort-ascending.gif Kills Clan Kills % Deaths Kpd
1  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.14% 471 1.02
2  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.23% 754 1.08
3  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.30% 775 1.38
4  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.89% 1,465 2.12
5  Russian federationSprut elorank 9,375 2d 05:42:28h 1,789 0.51% 2,289 0.78
6  Russian federationShalfeYka elorank 11,272 2d 15:55:42h 2,371 0.68% 2,381 1.00
7  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.83% 2,272 1.28
8  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,549 3d 16:38:51h 3,556 1.02% 3,702 0.96
9  Russian federationИлья190RUS elorank 12,906 3d 22:53:43h 4,120 1.18% 3,596 1.15
10  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.22% 3,263 1.31
11  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.28% 5,052 0.89
12  Russian federationубивашка 62 elorank 17,725 6d 09:54:52h 7,691 2.20% 5,229 1.47
13  Russian federation⇜Ṧ†êrvå⇝ elorank 9,416 6d 14:41:22h 4,769 1.36% 6,249 0.76
14  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.08% 5,572 1.93
15  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.69% 7,910 0.75
16  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.71% 8,932 0.67
17  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.43% 11,872 0.42
18  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 3.97% 13,456 1.03
19  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.30% 10,412 1.11
20  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.64% 14,654 0.63


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 2,353 times 4,706
2 Touch a Hostage 4 times 0
3 Start Defusing the Bomb Without a Defuse Kit 58 times 0
4 Start Defusing the Bomb With a Defuse Kit 649 times 0
5 Round MVP 15,932 times 0
6 Revenge 1,589 times 4,767
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 44 times 176
9 Plant the Bomb 4,213 times 42,130
10 Pick up the Bomb 21,501 times 43,002
11 Mega Kill (6 kills) 4 times 20
12 Kill a Hostage 18 times -270
13 Headshot 24,758 times 24,758
14 Drop the Bomb 12,156 times -24312
15 Double Kill (2 kills) 10,072 times 10,072
16 Domination (4 kills) 398 times 1,194
17 Domination 3,074 times 15,370
18 Defuse the Bomb 479 times 4,790




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-ascending.gif Points Bonus
1 Revenge 1,805 times -5415
2 Domination 2,535 times -12675




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,931 times 27.81%
2 Counter-Terrorist 2,297 times 21.80%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 17,135 4.89% 8,778 6.60% 0.51
2 Colt M4A1 Carbine 1.00 11,050 3.15% 5,056 3.80% 0.46
3 Desert Eagle .50AE 1.20 6,244 1.78% 3,506 2.64% 0.56
4 Steyr Scout 1.10 5,728 1.64% 3,603 2.71% 0.63
5 High Explosive Grenade 1.80 2,341 0.67% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 2,221 0.63% 1,060 0.80% 0.48
7 Arctic Warfare Magnum (Police) 1.00 2,210 0.63% 372 0.28% 0.17
8 FN P90 1.20 1,680 0.48% 740 0.56% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,601 0.46% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,302 0.37% 558 0.42% 0.43
11 Sig Sauer SG-552 Commando 1.00 855 0.24% 371 0.28% 0.43
12 Benelli M3 Super 90 Combat 1.20 563 0.16% 240 0.18% 0.43
13 Dual Beretta 96G Elite 1.40 217 0.06% 101 0.08% 0.47
14 H&K USP .45 Tactical 1.40 128 0.04% 67 0.05% 0.52
15 Galil 1.10 113 0.03% 47 0.04% 0.42
16 H&K MP5-Navy 1.20 106 0.03% 46 0.03% 0.43
17 Glock 18 Select Fire 1.40 95 0.03% 44 0.03% 0.46
18 Ingram MAC-10 1.50 79 0.02% 35 0.03% 0.44
19 Steyr Aug 1.00 67 0.02% 33 0.02% 0.49
20 FN Five-Seven 1.50 63 0.02% 31 0.02% 0.49
21 Benelli/H&K M4 Super 90 XM1014 1.10 61 0.02% 21 0.02% 0.34
22 Steyr Tactical Machine Pistol 1.50 54 0.02% 26 0.02% 0.48
23 Fusil Automatique 1.00 43 0.01% 20 0.02% 0.47
24 H&K UMP45 1.20 33 0.01% 16 0.01% 0.48
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-47 553,645 61,623 2,410,224 8,770 17,124 8.8864 11.1% 39.1 32.3
2 Colt M4A1 Carbine 380,003 48,723 1,551,863 5,053 11,047 11.5193 12.8% 31.9 34.4
3 Desert Eagle .50AE 68,165 17,468 906,157 3,503 6,240 4.1907 25.6% 51.9 10.9
4 Steyr Scout 46,714 13,890 1,314,787 3,596 5,722 2.3138 29.7% 94.7 8.2
5 M249 PARA Light Machine Gun 115,991 8,411 311,635 1,061 2,222 12.6971 7.3% 37.1 52.2
6 Arctic Warfare Magnum (Police) 9,257 3,195 428,227 372 2,209 4.9308 34.5% 134.0 4.2
7 FN P90 81,634 9,483 221,703 740 1,680 10.9804 11.6% 23.4 48.6
8 Sig Sauer P-228 35,176 5,551 170,180 558 1,302 21.3443 15.8% 30.7 27.0
9 Sig Sauer SG-552 Commando 63,533 4,289 123,679 371 856 37.2174 6.8% 28.8 74.2
10 Benelli M3 Super 90 Combat 2,681 5,356 76,486 240 563 1.9150 199.8% 14.3 4.8
11 Bundeswehr Advanced Combat Knife 11,422 1,096 57,819 2 382 1.6828 9.6% 52.8 29.9
12 Dual Beretta 96G Elite 5,418 1,075 30,055 101 217 72.3333 19.8% 28.0 25.0
13 H&K USP .45 Tactical 4,918 918 18,623 66 127 9.7692 18.7% 20.3 38.7
14 Galil 3,035 461 15,563 47 113 56.5000 15.2% 33.8 26.9
15 H&K MP5-Navy 5,041 915 15,355 45 104 10.4000 18.2% 16.8 48.5
16 Glock 18 Select Fire 5,079 856 14,561 43 93 6.2000 16.9% 17.0 54.6
17 Ingram MAC-10 2,749 484 9,012 34 76 76.0000 17.6% 18.6 36.2
18 Steyr Aug 2,726 364 10,917 34 68 8.5000 13.4% 30.0 40.1
19 FN Five-Seven 1,374 341 9,175 32 64 32.0000 24.8% 26.9 21.5
20 Benelli/H&K M4 Super 90 XM1014 1,150 747 8,781 21 61 12.2000 65.0% 11.8 18.9
21 Steyr Tactical Machine Pistol 3,144 421 7,532 25 53 53.0000 13.4% 17.9 59.3
22 Fusil Automatique 1,161 192 6,104 19 41 41.0000 16.5% 31.8 28.3
23 H&K UMP45 2,049 260 5,206 16 32 16.0000 12.7% 20.0 64.0
24 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
25 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 61,623 27.3% 58.7% 14.0%
2 Colt M4A1 Carbine 48,723 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 17,468 26.5% 61.4% 12.1%
4 Steyr Scout 13,865 26.5% 64.7% 8.8%
5 FN P90 9,483 28.1% 56.1% 15.8%
6 M249 PARA Light Machine Gun 8,411 28.5% 56.5% 15.0%
7 Sig Sauer P-228 5,551 28.8% 57.6% 13.6%
8 Benelli M3 Super 90 Combat 5,356 30.1% 57.0% 12.9%
9 Sig Sauer SG-552 Commando 4,289 29.3% 55.6% 15.1%
10 Arctic Warfare Magnum (Police) 3,195 32.8% 57.3% 10.0%
11 Dual Beretta 96G Elite 1,075 25.0% 61.3% 13.7%
12 H&K USP .45 Tactical 918 25.1% 61.8% 13.2%
13 H&K MP5-Navy 915 28.3% 57.0% 14.6%
14 Glock 18 Select Fire 856 26.3% 61.9% 11.8%
15 Benelli/H&K M4 Super 90 XM1014 747 26.8% 56.1% 17.1%
16 Ingram MAC-10 484 25.4% 60.5% 14.0%
17 Galil 461 28.9% 56.4% 14.8%
18 Steyr Tactical Machine Pistol 421 25.4% 63.7% 10.9%
19 Steyr Aug 364 28.0% 55.8% 16.2%
20 FN Five-Seven 341 23.2% 62.8% 14.1%
21 H&K UMP45 260 25.0% 54.2% 20.8%
22 Fusil Automatique 192 23.4% 62.5% 14.1%
23 Bundeswehr Advanced Combat Knife 51 23.5% 66.7% 9.8%
24 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
25 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 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 / 350247 * 100, 2) AS kpercent,
			ROUND(headshots / 132978 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map asc,
			kills asc