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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 72.16%
Members: 30 active members (76 total)
Avg. Member Points: 11,714
Total Kills: 359,938
Total Deaths: 310,561
Avg. Kills: 11,998
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 400d 15:33:26h
Avg. Connection Time: 13d 08:31:06h
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 33,577 47d 00:25:35h 69,203 19.23% 31,506 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.99% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 6.92% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,492 6d 06:32:25h 7,498 2.08% 5,103 1.47
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.21% 10,412 1.11
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.35% 12,180 1.58
7  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 11.71% 38,713 1.09
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.19% 3,263 1.31
9  Russian federationИлья190RUS elorank 13,038 3d 22:13:54h 4,105 1.14% 3,569 1.15
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.86% 1,465 2.12
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.88% 15,207 1.15
12  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.67% 8,932 0.67
13  Russian federationShalfeYka elorank 10,888 2d 09:14:40h 2,099 0.58% 2,088 1.01
14  Russian federationslayer71 elorank 10,841 9d 15:04:09h 10,423 2.90% 9,594 1.09
15  Russian federationStanislav752 elorank 10,813 16d 11:12:15h 13,426 3.73% 13,085 1.03
16  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.85% 13,411 1.03
17  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.81% 2,272 1.28
18  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,450 3d 15:36:28h 3,502 0.97% 3,661 0.96
19  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.53% 15,929 1.48
20  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.24% 5,052 0.89


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Touch a Hostage 4 times 0
3 Mega Kill (6 kills) 5 times 25
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 45 times 180
6 Start Defusing the Bomb Without a Defuse Kit 58 times 0
7 Domination (4 kills) 420 times 1,260
8 Defuse the Bomb 492 times 4,920
9 Start Defusing the Bomb With a Defuse Kit 666 times 0
10 Revenge 1,633 times 4,899
11 Triple Kill (3 kills) 2,432 times 4,864
12 Domination 3,142 times 15,710
13 Plant the Bomb 4,304 times 43,040
14 Double Kill (2 kills) 10,331 times 10,331
15 Drop the Bomb 12,248 times -24496
16 Round MVP 16,313 times 0
17 Pick up the Bomb 21,727 times 43,454
18 Headshot 25,559 times 25,559




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,620 times -13100
2 Revenge 1,844 times -5532




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,969 times 27.53%
2 Counter-Terrorist 2,368 times 21.96%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-ascending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 H&K UMP45 1.20 33 0.01% 16 0.01% 0.48
3 Fusil Automatique 1.00 43 0.01% 20 0.01% 0.47
4 Steyr Tactical Machine Pistol 1.50 55 0.02% 27 0.02% 0.49
5 FN Five-Seven 1.50 62 0.02% 31 0.02% 0.50
6 Steyr Aug 1.00 64 0.02% 33 0.02% 0.52
7 Benelli/H&K M4 Super 90 XM1014 1.10 66 0.02% 24 0.02% 0.36
8 Ingram MAC-10 1.50 78 0.02% 35 0.03% 0.45
9 Glock 18 Select Fire 1.40 97 0.03% 45 0.03% 0.46
10 H&K MP5-Navy 1.20 106 0.03% 46 0.03% 0.43
11 Galil 1.10 113 0.03% 47 0.03% 0.42
12 H&K USP .45 Tactical 1.40 127 0.04% 67 0.05% 0.53
13 Dual Beretta 96G Elite 1.40 217 0.06% 101 0.07% 0.47
14 Benelli M3 Super 90 Combat 1.20 586 0.16% 254 0.18% 0.43
15 Sig Sauer SG-552 Commando 1.00 880 0.24% 388 0.28% 0.44
16 Sig Sauer P-228 1.50 1,300 0.36% 557 0.40% 0.43
17 Bundeswehr Advanced Combat Knife 2.00 1,618 0.45% 2 0.00% 0.00
18 FN P90 1.20 1,642 0.46% 729 0.53% 0.44
19 Arctic Warfare Magnum (Police) 1.00 2,270 0.63% 377 0.27% 0.17
20 M249 PARA Light Machine Gun 1.20 2,350 0.65% 1,148 0.83% 0.49
21 High Explosive Grenade 1.80 2,395 0.67% 0 0.00% 0.00
22 Steyr Scout 1.10 6,125 1.70% 3,899 2.81% 0.64
23 Desert Eagle .50AE 1.20 6,737 1.87% 3,833 2.76% 0.57
24 Colt M4A1 Carbine 1.00 11,017 3.06% 5,008 3.61% 0.45
25 Kalashnikov AK-47 1.00 17,416 4.84% 8,887 6.41% 0.51




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots sort-ascending.gif Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0
2 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
3 Bundeswehr Advanced Combat Knife 11,510 1,092 57,512 2 381 1.7085 9.5% 52.7 30.2
4 H&K UMP45 2,049 260 5,206 16 32 16.0000 12.7% 20.0 64.0
5 Fusil Automatique 1,165 192 6,104 19 41 41.0000 16.5% 31.8 28.4
6 Benelli/H&K M4 Super 90 XM1014 1,235 798 9,431 24 66 13.2000 64.6% 11.8 18.7
7 Steyr Tactical Machine Pistol 3,216 434 7,706 26 54 54.0000 13.5% 17.8 59.6
8 FN Five-Seven 1,354 335 9,070 32 63 31.5000 24.7% 27.1 21.5
9 Steyr Aug 2,714 354 10,572 34 65 9.2857 13.0% 29.9 41.8
10 Ingram MAC-10 2,663 478 8,849 34 75 75.0000 17.9% 18.5 35.5
11 Glock 18 Select Fire 5,092 878 14,870 44 95 6.3333 17.2% 16.9 53.6
12 H&K MP5-Navy 5,041 915 15,355 45 104 10.4000 18.2% 16.8 48.5
13 Galil 3,035 461 15,563 47 113 56.5000 15.2% 33.8 26.9
14 H&K USP .45 Tactical 5,027 920 18,777 66 126 9.6923 18.3% 20.4 39.9
15 Dual Beretta 96G Elite 5,423 1,075 30,055 101 217 72.3333 19.8% 28.0 25.0
16 Benelli M3 Super 90 Combat 2,734 5,432 78,730 254 586 2.0068 198.7% 14.5 4.7
17 Arctic Warfare Magnum (Police) 9,513 3,274 438,237 377 2,269 4.9113 34.4% 133.9 4.2
18 Sig Sauer SG-552 Commando 66,978 4,443 128,212 388 881 38.3043 6.6% 28.9 76.0
19 Sig Sauer P-228 35,033 5,528 169,562 557 1,300 21.3115 15.8% 30.7 26.9
20 FN P90 80,118 9,221 216,377 729 1,642 10.8026 11.5% 23.5 48.8
21 M249 PARA Light Machine Gun 119,128 8,893 331,842 1,149 2,351 13.3580 7.5% 37.3 50.7
22 Desert Eagle .50AE 72,546 18,817 982,114 3,830 6,733 4.2722 25.9% 52.2 10.8
23 Steyr Scout 49,590 14,746 1,407,649 3,892 6,119 2.3187 29.7% 95.5 8.1
24 Colt M4A1 Carbine 379,575 48,626 1,547,367 5,005 11,014 11.4729 12.8% 31.8 34.5
25 Kalashnikov AK-47 556,892 62,633 2,447,440 8,879 17,405 8.8261 11.2% 39.1 32.0




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 0.0%
2 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
3 Bundeswehr Advanced Combat Knife 52 25.0% 65.4% 9.6%
4 Fusil Automatique 192 23.4% 62.5% 14.1%
5 H&K UMP45 260 25.0% 54.2% 20.8%
6 FN Five-Seven 335 23.6% 62.7% 13.7%
7 Steyr Aug 354 27.4% 56.2% 16.4%
8 Steyr Tactical Machine Pistol 434 25.1% 64.1% 10.8%
9 Galil 461 28.9% 56.4% 14.8%
10 Ingram MAC-10 478 25.5% 60.5% 14.0%
11 Benelli/H&K M4 Super 90 XM1014 798 27.4% 56.0% 16.5%
12 Glock 18 Select Fire 878 26.7% 61.8% 11.5%
13 H&K MP5-Navy 915 28.3% 57.0% 14.6%
14 H&K USP .45 Tactical 920 25.5% 61.4% 13.0%
15 Dual Beretta 96G Elite 1,075 25.0% 61.3% 13.7%
16 Arctic Warfare Magnum (Police) 3,274 32.9% 57.3% 9.9%
17 Sig Sauer SG-552 Commando 4,443 29.2% 55.5% 15.3%
18 Benelli M3 Super 90 Combat 5,432 29.9% 57.4% 12.7%
19 Sig Sauer P-228 5,528 28.8% 57.7% 13.6%
20 M249 PARA Light Machine Gun 8,893 28.0% 57.1% 14.9%
21 FN P90 9,221 28.0% 56.3% 15.7%
22 Steyr Scout 14,721 26.4% 65.0% 8.7%
23 Desert Eagle .50AE 18,817 26.2% 61.9% 12.0%
24 Colt M4A1 Carbine 48,626 27.8% 59.1% 13.1%
25 Kalashnikov AK-47 62,633 27.3% 58.7% 14.0%


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 / 359938 * 100, 2) AS kpercent,
			ROUND(headshots / 138710 * 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