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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: 11,757
Total Kills: 350,269
Total Deaths: 301,687
Avg. Kills: 12,078
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 391d 18:39:04h
Avg. Connection Time: 13d 12:13:45h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name sort-descending.gif Rank Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,577 47d 00:25:35h 69,203 19.76% 31,506 2.20
2  Russian federation⇜Ṧ†êrvå⇝ elorank 9,416 6d 14:41:22h 4,769 1.36% 6,249 0.76
3  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.43% 11,872 0.42
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.71% 15,929 1.48
5  Russian federationубивашка 62 elorank 17,725 6d 09:54:52h 7,691 2.20% 5,229 1.47
6  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.89% 1,465 2.12
7  Russian federationИлья190RUS elorank 12,894 3d 22:56:05h 4,123 1.18% 3,598 1.15
8  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.08% 5,572 1.93
9  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.83% 2,272 1.28
10  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.14% 471 1.02
11  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 3.97% 13,456 1.03
12  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.23% 754 1.08
13  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.30% 775 1.38
14  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.11% 24,192 1.03
15  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.28% 5,052 0.89
16  Russian federationStanislav752 elorank 10,278 16d 14:46:05h 13,548 3.87% 13,209 1.03
17  Russian federationSprut elorank 9,375 2d 05:42:28h 1,789 0.51% 2,289 0.78
18  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,549 3d 16:38:51h 3,556 1.02% 3,702 0.96
19  Russian federationShalfeYka elorank 11,334 2d 16:28:49h 2,390 0.68% 2,394 1.00
20  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.30% 10,412 1.11


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 15,941 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 4,216 times 42,160
10 Pick up the Bomb 21,512 times 43,024
11 Mega Kill (6 kills) 4 times 20
12 Kill a Hostage 18 times -270
13 Headshot 24,767 times 24,767
14 Drop the Bomb 12,160 times -24320
15 Double Kill (2 kills) 10,079 times 10,079
16 Domination (4 kills) 398 times 1,194
17 Domination 3,075 times 15,375
18 Defuse the Bomb 479 times 4,790




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-ascending.gif
1 Domination 2,535 times -12675
2 Revenge 1,806 times -5418




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,935 times 27.80%
2 Counter-Terrorist 2,300 times 21.78%




  Weapon Usage *

Rank Weapon Points Modifier sort-descending.gif Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Bundeswehr Advanced Combat Knife 2.00 1,601 0.46% 2 0.00% 0.00
2 High Explosive Grenade 1.80 2,341 0.67% 0 0.00% 0.00
3 Steyr Tactical Machine Pistol 1.50 54 0.02% 26 0.02% 0.48
4 Sig Sauer P-228 1.50 1,302 0.37% 558 0.42% 0.43
5 Ingram MAC-10 1.50 79 0.02% 35 0.03% 0.44
6 FN Five-Seven 1.50 63 0.02% 31 0.02% 0.49
7 H&K USP .45 Tactical 1.40 128 0.04% 67 0.05% 0.52
8 Glock 18 Select Fire 1.40 95 0.03% 44 0.03% 0.46
9 Dual Beretta 96G Elite 1.40 219 0.06% 102 0.08% 0.47
10 H&K UMP45 1.20 33 0.01% 16 0.01% 0.48
11 FN P90 1.20 1,693 0.48% 744 0.56% 0.44
12 H&K MP5-Navy 1.20 106 0.03% 46 0.03% 0.43
13 Benelli M3 Super 90 Combat 1.20 563 0.16% 240 0.18% 0.43
14 M249 PARA Light Machine Gun 1.20 2,221 0.63% 1,060 0.80% 0.48
15 Desert Eagle .50AE 1.20 6,244 1.78% 3,506 2.64% 0.56
16 Benelli/H&K M4 Super 90 XM1014 1.10 61 0.02% 21 0.02% 0.34
17 Steyr Scout 1.10 5,728 1.64% 3,603 2.71% 0.63
18 Galil 1.10 113 0.03% 47 0.04% 0.42
19 Sig Sauer SG-552 Commando 1.00 855 0.24% 371 0.28% 0.43
20 Colt M4A1 Carbine 1.00 11,057 3.16% 5,060 3.80% 0.46
21 Fusil Automatique 1.00 43 0.01% 20 0.02% 0.47
22 Arctic Warfare Magnum (Police) 1.00 2,210 0.63% 372 0.28% 0.17
23 Steyr Aug 1.00 67 0.02% 33 0.02% 0.49
24 Kalashnikov AK-47 1.00 17,135 4.89% 8,778 6.60% 0.51
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 380,134 48,749 1,552,815 5,057 11,054 11.5146 12.8% 31.9 34.4
3 Desert Eagle .50AE 68,174 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 82,046 9,549 223,227 744 1,693 10.9935 11.6% 23.4 48.5
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 11,429 1,096 57,819 2 382 1.6828 9.6% 52.8 29.9
12 Dual Beretta 96G Elite 5,459 1,082 30,294 102 219 73.0000 19.8% 28.0 24.9
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 2,730 364 10,917 34 68 8.5000 13.3% 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 48,749 27.8% 59.1% 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 9,549 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 1,082 25.1% 61.3% 13.6%
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 / 350269 * 100, 2) AS kpercent,
			ROUND(headshots / 132987 * 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