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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 72.06%
Members: 30 active members (76 total)
Avg. Member Points: 11,709
Total Kills: 359,808
Total Deaths: 310,447
Avg. Kills: 11,994
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 400d 12:37:22h
Avg. Connection Time: 13d 08:25:14h
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 6.93% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,595 6d 04:54:30h 7,420 2.06% 5,037 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 11.72% 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 federationslayer71 elorank 10,841 9d 15:04:09h 10,423 2.90% 9,594 1.09
14  Russian federationStanislav752 elorank 10,813 16d 11:12:15h 13,426 3.73% 13,085 1.03
15  Russian federationShalfeYka elorank 10,648 2d 07:56:31h 2,047 0.57% 2,040 1.00
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 490 times 4,900
9 Start Defusing the Bomb With a Defuse Kit 664 times 0
10 Revenge 1,631 times 4,893
11 Triple Kill (3 kills) 2,430 times 4,860
12 Domination 3,135 times 15,675
13 Plant the Bomb 4,302 times 43,020
14 Double Kill (2 kills) 10,300 times 10,300
15 Drop the Bomb 12,240 times -24480
16 Round MVP 16,270 times 0
17 Pick up the Bomb 21,712 times 43,424
18 Headshot 25,500 times 25,500




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,616 times -13080
2 Revenge 1,838 times -5514




  Team Selection *

Rank Team sort-ascending.gif Joined Percentage of Times %
1 Counter-Terrorist 2,359 times 21.92%
2 Terrorist 2,968 times 27.57%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 17,413 4.84% 8,886 6.41% 0.51
2 Colt M4A1 Carbine 1.00 10,960 3.05% 4,982 3.59% 0.45
3 Desert Eagle .50AE 1.20 6,726 1.87% 3,826 2.76% 0.57
4 Steyr Scout 1.10 6,109 1.70% 3,887 2.80% 0.64
5 High Explosive Grenade 1.80 2,393 0.67% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 2,350 0.65% 1,148 0.83% 0.49
7 Arctic Warfare Magnum (Police) 1.00 2,270 0.63% 377 0.27% 0.17
8 Bundeswehr Advanced Combat Knife 2.00 1,618 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,601 0.44% 716 0.52% 0.45
10 Sig Sauer P-228 1.50 1,300 0.36% 557 0.40% 0.43
11 Sig Sauer SG-552 Commando 1.00 880 0.24% 388 0.28% 0.44
12 Benelli M3 Super 90 Combat 1.20 586 0.16% 254 0.18% 0.43
13 Dual Beretta 96G Elite 1.40 217 0.06% 101 0.07% 0.47
14 H&K USP .45 Tactical 1.40 127 0.04% 67 0.05% 0.53
15 Galil 1.10 113 0.03% 47 0.03% 0.42
16 H&K MP5-Navy 1.20 106 0.03% 46 0.03% 0.43
17 Glock 18 Select Fire 1.40 97 0.03% 45 0.03% 0.46
18 Ingram MAC-10 1.50 78 0.02% 35 0.03% 0.45
19 Benelli/H&K M4 Super 90 XM1014 1.10 66 0.02% 24 0.02% 0.36
20 Steyr Aug 1.00 64 0.02% 33 0.02% 0.52
21 FN Five-Seven 1.50 62 0.02% 31 0.02% 0.50
22 Steyr Tactical Machine Pistol 1.50 55 0.02% 27 0.02% 0.49
23 Fusil Automatique 1.00 43 0.01% 20 0.01% 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 sort-descending.gif Shots Hits Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Benelli/H&K M4 Super 90 XM1014 1,235 798 9,431 24 66 13.2000 64.6% 11.8 18.7
2 H&K USP .45 Tactical 5,026 920 18,777 66 126 9.6923 18.3% 20.4 39.9
3 H&K UMP45 2,049 260 5,206 16 32 16.0000 12.7% 20.0 64.0
4 Steyr Tactical Machine Pistol 3,216 434 7,706 26 54 54.0000 13.5% 17.8 59.6
5 Sig Sauer SG-552 Commando 66,978 4,443 128,212 388 881 38.3043 6.6% 28.9 76.0
6 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
7 Steyr Scout 49,501 14,719 1,404,244 3,880 6,103 2.3214 29.7% 95.4 8.1
8 FN P90 78,757 9,027 212,207 716 1,601 10.6026 11.5% 23.5 49.2
9 Sig Sauer P-228 35,033 5,528 169,562 557 1,300 21.3115 15.8% 30.7 26.9
10 H&K MP5-Navy 5,041 915 15,355 45 104 10.4000 18.2% 16.8 48.5
11 Ingram MAC-10 2,663 478 8,849 34 75 75.0000 17.9% 18.5 35.5
12 Colt M4A1 Carbine 378,026 48,357 1,538,934 4,979 10,957 11.4374 12.8% 31.8 34.5
13 Benelli M3 Super 90 Combat 2,734 5,432 78,730 254 586 2.0068 198.7% 14.5 4.7
14 M249 PARA Light Machine Gun 119,128 8,893 331,842 1,149 2,351 13.3580 7.5% 37.3 50.7
15 Bundeswehr Advanced Combat Knife 11,506 1,092 57,512 2 381 1.7085 9.5% 52.7 30.2
16 Glock 18 Select Fire 5,092 878 14,870 44 95 6.3333 17.2% 16.9 53.6
17 Galil 3,035 461 15,563 47 113 56.5000 15.2% 33.8 26.9
18 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0
19 FN Five-Seven 1,354 335 9,070 32 63 31.5000 24.7% 27.1 21.5
20 Fusil Automatique 1,165 192 6,104 19 41 41.0000 16.5% 31.8 28.4
21 Dual Beretta 96G Elite 5,423 1,075 30,055 101 217 72.3333 19.8% 28.0 25.0
22 Desert Eagle .50AE 72,379 18,787 980,632 3,823 6,722 4.2843 26.0% 52.2 10.8
23 Arctic Warfare Magnum (Police) 9,513 3,274 438,237 377 2,269 4.9113 34.4% 133.9 4.2
24 Steyr Aug 2,714 354 10,572 34 65 9.2857 13.0% 29.9 41.8
25 Kalashnikov AK-47 556,809 62,627 2,447,190 8,878 17,402 8.8335 11.2% 39.1 32.0




  Weapon Targets *

Rank Weapon sort-descending.gif Hits Left Middle Right
1 Benelli/H&K M4 Super 90 XM1014 798 27.4% 56.0% 16.5%
2 H&K USP .45 Tactical 920 25.5% 61.4% 13.0%
3 H&K UMP45 260 25.0% 54.2% 20.8%
4 Steyr Tactical Machine Pistol 434 25.1% 64.1% 10.8%
5 Sig Sauer SG-552 Commando 4,443 29.2% 55.5% 15.3%
6 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
7 Steyr Scout 14,694 26.4% 65.0% 8.7%
8 FN P90 9,027 27.9% 56.5% 15.7%
9 Sig Sauer P-228 5,528 28.8% 57.7% 13.6%
10 H&K MP5-Navy 915 28.3% 57.0% 14.6%
11 Ingram MAC-10 478 25.5% 60.5% 14.0%
12 Colt M4A1 Carbine 48,357 27.8% 59.1% 13.1%
13 Benelli M3 Super 90 Combat 5,432 29.9% 57.4% 12.7%
14 M249 PARA Light Machine Gun 8,893 28.0% 57.1% 14.9%
15 Bundeswehr Advanced Combat Knife 52 25.0% 65.4% 9.6%
16 Glock 18 Select Fire 878 26.7% 61.8% 11.5%
17 Galil 461 28.9% 56.4% 14.8%
18 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 0.0%
19 FN Five-Seven 335 23.6% 62.7% 13.7%
20 Fusil Automatique 192 23.4% 62.5% 14.1%
21 Dual Beretta 96G Elite 1,075 25.0% 61.3% 13.7%
22 Desert Eagle .50AE 18,787 26.2% 61.9% 12.0%
23 Arctic Warfare Magnum (Police) 3,274 32.9% 57.3% 9.9%
24 Steyr Aug 354 27.4% 56.2% 16.4%
25 Kalashnikov AK-47 62,627 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 / 359808 * 100, 2) AS kpercent,
			ROUND(headshots / 138651 * 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