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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.23%
Members: 26 active members (75 total)
Avg. Member Points: 11,814
Total Kills: 303,577
Total Deaths: 261,456
Avg. Kills: 11,676
Kills per Death: 1.16
Kills per Minute: 0.63
Total Connection Time: 335d 06:52:53h
Avg. Connection Time: 12d 21:29:43h
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 22.80% 31,506 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.55% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 8.21% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,685 6d 12:41:37h 7,815 2.57% 5,330 1.47
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.81% 10,412 1.11
6  Russian federationDIM4IK elorank 14,639 16d 11:27:37h 19,248 6.34% 12,180 1.58
7  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 13.89% 38,713 1.09
8  Russian federationИлья190RUS elorank 12,920 4d 00:32:53h 4,193 1.38% 3,648 1.15
9  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 1.02% 1,465 2.12
10  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.78% 15,207 1.15
11  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.97% 8,932 0.67
12  Ukrainerimuru elorank 10,904 14d 06:21:03h 13,939 4.59% 13,480 1.03
13  Russian federationShalfeYka elorank 10,893 3d 00:37:41h 2,670 0.88% 2,745 0.97
14  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,555 3d 22:07:29h 3,816 1.26% 3,940 0.97
15  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.96% 2,272 1.28
16  Russian federationStanislav752 elorank 10,094 17d 03:42:55h 13,937 4.59% 13,621 1.02
17  Russian federationavpvovan elorank 9,984 5d 21:14:18h 4,483 1.48% 5,055 0.89
18  Russian federation⇜Ṧ†êrvå⇝ elorank 9,417 6d 14:50:02h 4,772 1.57% 6,252 0.76
19  Russian federationSprut elorank 9,297 2d 07:23:43h 1,829 0.60% 2,359 0.78
20  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 5.32% 18,072 0.89


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 22,954 times 22,954
2 Pick up the Bomb 19,327 times 38,654
3 Round MVP 14,622 times 0
4 Drop the Bomb 11,182 times -22364
5 Double Kill (2 kills) 9,223 times 9,223
6 Plant the Bomb 3,527 times 35,270
7 Domination 2,778 times 13,890
8 Triple Kill (3 kills) 2,162 times 4,324
9 Revenge 1,486 times 4,458
10 Start Defusing the Bomb With a Defuse Kit 550 times 0
11 Defuse the Bomb 457 times 4,570
12 Domination (4 kills) 368 times 1,104
13 Start Defusing the Bomb Without a Defuse Kit 56 times 0
14 Rampage (5 kills) 41 times 164
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 3 times 15
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 1,639 times -4917
2 Domination 2,336 times -11680




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,183 times 22.43%
2 Terrorist 2,636 times 27.09%




  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 28 0.01% 14 0.01% 0.50
3 Benelli/H&K M4 Super 90 XM1014 1.10 42 0.01% 14 0.01% 0.33
4 Fusil Automatique 1.00 47 0.02% 21 0.02% 0.45
5 H&K MP5-Navy 1.20 47 0.02% 20 0.02% 0.43
6 Steyr Tactical Machine Pistol 1.50 49 0.02% 22 0.02% 0.45
7 FN Five-Seven 1.50 60 0.02% 30 0.03% 0.50
8 Steyr Aug 1.00 64 0.02% 31 0.03% 0.48
9 Ingram MAC-10 1.50 66 0.02% 27 0.02% 0.41
10 Glock 18 Select Fire 1.40 81 0.03% 39 0.03% 0.48
11 Galil 1.10 111 0.04% 45 0.04% 0.41
12 H&K USP .45 Tactical 1.40 123 0.04% 64 0.06% 0.52
13 Dual Beretta 96G Elite 1.40 204 0.07% 96 0.08% 0.47
14 Benelli M3 Super 90 Combat 1.20 518 0.17% 227 0.20% 0.44
15 Sig Sauer SG-552 Commando 1.00 803 0.26% 349 0.31% 0.43
16 Sig Sauer P-228 1.50 1,304 0.43% 559 0.49% 0.43
17 Bundeswehr Advanced Combat Knife 2.00 1,491 0.49% 2 0.00% 0.00
18 FN P90 1.20 1,784 0.59% 784 0.69% 0.44
19 Arctic Warfare Magnum (Police) 1.00 2,024 0.67% 344 0.30% 0.17
20 High Explosive Grenade 1.80 2,150 0.71% 0 0.00% 0.00
21 M249 PARA Light Machine Gun 1.20 2,205 0.73% 1,047 0.93% 0.47
22 Steyr Scout 1.10 5,383 1.77% 3,385 2.99% 0.63
23 Desert Eagle .50AE 1.20 5,876 1.94% 3,369 2.98% 0.57
24 Colt M4A1 Carbine 1.00 10,262 3.38% 4,722 4.18% 0.46
25 Kalashnikov AK-47 1.00 14,873 4.90% 7,758 6.86% 0.52




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill sort-ascending.gif
1 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 Arctic Warfare Magnum (Police) 8,599 2,933 393,213 344 2,025 4.9270 34.1% 134.1 4.2
3 Benelli M3 Super 90 Combat 2,480 4,927 71,080 227 518 1.8304 198.7% 14.4 4.8
4 Steyr Scout 44,524 13,159 1,233,891 3,378 5,377 2.2330 29.6% 93.8 8.3
5 Desert Eagle .50AE 63,904 16,286 854,228 3,366 5,872 4.0977 25.5% 52.5 10.9
6 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0
7 Benelli/H&K M4 Super 90 XM1014 826 525 6,089 14 42 8.4000 63.6% 11.6 19.7
8 FN Five-Seven 1,363 337 9,023 31 61 30.5000 24.7% 26.8 22.3
9 Bundeswehr Advanced Combat Knife 9,267 1,042 55,529 2 368 1.6502 11.2% 53.3 25.2
10 Dual Beretta 96G Elite 5,155 1,015 28,387 96 204 102.0000 19.7% 28.0 25.3
11 Fusil Automatique 1,142 191 6,089 20 45 45.0000 16.7% 31.9 25.4
12 Galil 2,908 452 15,227 45 111 55.5000 15.5% 33.7 26.2
13 Sig Sauer P-228 35,339 5,590 170,981 559 1,304 21.0323 15.8% 30.6 27.1
14 Kalashnikov AK-47 505,934 53,728 2,097,557 7,750 14,863 8.8313 10.6% 39.0 34.0
15 Colt M4A1 Carbine 357,218 45,320 1,441,516 4,719 10,259 11.9291 12.7% 31.8 34.8
16 Ingram MAC-10 2,377 425 7,582 26 63 63.0000 17.9% 17.8 37.7
17 H&K USP .45 Tactical 4,743 903 18,118 63 122 8.7143 19.0% 20.1 38.9
18 Steyr Aug 2,582 344 10,458 32 65 8.1250 13.3% 30.4 39.7
19 FN P90 84,235 10,064 234,776 784 1,784 10.5562 11.9% 23.3 47.2
20 H&K MP5-Navy 2,161 476 7,371 19 45 9.0000 22.0% 15.5 48.0
21 M249 PARA Light Machine Gun 112,599 8,395 309,061 1,048 2,206 12.9006 7.5% 36.8 51.0
22 Glock 18 Select Fire 4,671 745 12,663 38 79 5.2667 15.9% 17.0 59.1
23 Steyr Tactical Machine Pistol 2,938 379 6,594 21 48 48.0000 12.9% 17.4 61.2
24 H&K UMP45 1,772 221 4,457 14 27 13.5000 12.5% 20.2 65.6
25 Sig Sauer SG-552 Commando 60,325 4,062 117,512 349 804 34.9565 6.7% 28.9 75.0




  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 53 26.4% 67.9% 5.7%
4 Fusil Automatique 191 23.6% 62.8% 13.6%
5 H&K UMP45 221 24.4% 53.8% 21.7%
6 FN Five-Seven 337 23.7% 61.7% 14.5%
7 Steyr Aug 344 28.5% 57.3% 14.2%
8 Steyr Tactical Machine Pistol 379 26.4% 62.5% 11.1%
9 Ingram MAC-10 425 25.9% 60.7% 13.4%
10 Galil 452 27.2% 58.2% 14.6%
11 H&K MP5-Navy 476 27.9% 56.7% 15.3%
12 Benelli/H&K M4 Super 90 XM1014 525 29.9% 52.0% 18.1%
13 Glock 18 Select Fire 745 26.0% 62.7% 11.3%
14 H&K USP .45 Tactical 903 25.8% 61.4% 12.8%
15 Dual Beretta 96G Elite 1,015 25.0% 61.2% 13.8%
16 Arctic Warfare Magnum (Police) 2,933 33.0% 57.0% 10.0%
17 Sig Sauer SG-552 Commando 4,062 29.5% 55.7% 14.8%
18 Benelli M3 Super 90 Combat 4,927 29.5% 57.5% 13.0%
19 Sig Sauer P-228 5,590 28.8% 57.6% 13.7%
20 M249 PARA Light Machine Gun 8,395 28.3% 56.6% 15.1%
21 FN P90 10,064 28.1% 56.1% 15.8%
22 Steyr Scout 13,134 26.7% 64.4% 8.9%
23 Desert Eagle .50AE 16,286 26.1% 61.9% 12.0%
24 Colt M4A1 Carbine 45,320 27.9% 59.0% 13.1%
25 Kalashnikov AK-47 53,728 27.2% 58.8% 14.1%


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 / 303577 * 100, 2) AS kpercent,
			ROUND(headshots / 113101 * 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