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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: 350,274
Total Deaths: 301,692
Avg. Kills: 12,078
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 391d 19:02:48h
Avg. Connection Time: 13d 12:14:34h
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 10,286 16d 15:00:25h 13,551 3.87% 13,211 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 11,323 2d 16:38:13h 2,392 0.68% 2,397 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 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) 44 times 176
6 Start Defusing the Bomb Without a Defuse Kit 58 times 0
7 Domination (4 kills) 398 times 1,194
8 Defuse the Bomb 479 times 4,790
9 Start Defusing the Bomb With a Defuse Kit 649 times 0
10 Revenge 1,589 times 4,767
11 Triple Kill (3 kills) 2,353 times 4,706
12 Domination 3,075 times 15,375
13 Plant the Bomb 4,216 times 42,160
14 Double Kill (2 kills) 10,079 times 10,079
15 Drop the Bomb 12,168 times -24336
16 Round MVP 15,945 times 0
17 Pick up the Bomb 21,520 times 43,040
18 Headshot 24,767 times 24,767




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
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 27.79%
2 Counter-Terrorist 2,301 times 21.79%




  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 11,057 3.16% 5,060 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 1,693 0.48% 744 0.56% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,606 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 1.40 219 0.06% 102 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 380,134 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 35,239 5,553 170,234 558 1,302 21.3443 15.8% 30.7 27.1
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 11,450 1,108 58,517 2 386 1.6856 9.7% 52.8 29.7
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 4,958 923 18,721 66 127 9.7692 18.6% 20.3 39.0
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 Left Middle Right sort-descending.gif
1 H&K UMP45 260 25.0% 54.2% 20.8%
2 Benelli/H&K M4 Super 90 XM1014 747 26.8% 56.1% 17.1%
3 Steyr Aug 364 28.0% 55.8% 16.2%
4 FN P90 9,549 28.1% 56.1% 15.8%
5 Sig Sauer SG-552 Commando 4,289 29.3% 55.6% 15.1%
6 M249 PARA Light Machine Gun 8,411 28.5% 56.5% 15.0%
7 Galil 461 28.9% 56.4% 14.8%
8 H&K MP5-Navy 915 28.3% 57.0% 14.6%
9 FN Five-Seven 341 23.2% 62.8% 14.1%
10 Fusil Automatique 192 23.4% 62.5% 14.1%
11 Ingram MAC-10 484 25.4% 60.5% 14.0%
12 Kalashnikov AK-47 61,623 27.3% 58.7% 14.0%
13 Sig Sauer P-228 5,553 28.8% 57.6% 13.6%
14 Dual Beretta 96G Elite 1,082 25.1% 61.3% 13.6%
15 H&K USP .45 Tactical 923 25.1% 61.6% 13.2%
16 Colt M4A1 Carbine 48,749 27.8% 59.1% 13.0%
17 Benelli M3 Super 90 Combat 5,356 30.1% 57.0% 12.9%
18 Desert Eagle .50AE 17,468 26.5% 61.4% 12.1%
19 Glock 18 Select Fire 856 26.3% 61.9% 11.8%
20 Steyr Tactical Machine Pistol 421 25.4% 63.7% 10.9%
21 Arctic Warfare Magnum (Police) 3,195 32.8% 57.3% 10.0%
22 Bundeswehr Advanced Combat Knife 51 23.5% 66.7% 9.8%
23 Steyr Scout 13,865 26.5% 64.7% 8.8%
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 / 350274 * 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