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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.96%
Members: 28 active members (74 total)
Avg. Member Points: 11,687
Total Kills: 342,924
Total Deaths: 294,971
Avg. Kills: 12,247
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 383d 23:07:13h
Avg. Connection Time: 13d 17:06:41h
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 33,787 46d 21:12:43h 69,011 20.12% 31,407 2.20
2  Russian federation⇜Ṧ†êrvå⇝ elorank 9,360 6d 14:02:54h 4,753 1.39% 6,226 0.76
3  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.46% 11,872 0.42
4  Russian federationубивашка 62 elorank 17,385 5d 06:55:18h 6,314 1.84% 4,269 1.48
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.85% 15,929 1.48
6  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.91% 1,465 2.12
7  Russian federationИлья190RUS elorank 12,492 3d 16:48:32h 3,873 1.13% 3,363 1.15
8  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.14% 5,572 1.93
9  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.14% 471 1.02
10  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 4.04% 13,411 1.03
11  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.24% 754 1.08
12  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.31% 775 1.38
13  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.27% 24,192 1.03
14  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.30% 5,036 0.88
15  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.78% 12,310 1.05
16  Russian federationSprut elorank 9,350 2d 04:11:57h 1,728 0.50% 2,235 0.77
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,292 3d 10:16:59h 3,267 0.95% 3,432 0.95
18  Russian federationShalfeYka elorank 10,238 1d 22:48:31h 1,696 0.49% 1,717 0.99
19  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.37% 10,412 1.11
20  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.71% 18,072 0.89


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) 48 times 192
6 Start Defusing the Bomb Without a Defuse Kit 65 times 0
7 Domination (4 kills) 452 times 1,356
8 Defuse the Bomb 500 times 5,000
9 Start Defusing the Bomb With a Defuse Kit 697 times 0
10 Revenge 1,644 times 4,932
11 Triple Kill (3 kills) 2,563 times 5,126
12 Domination 3,321 times 16,605
13 Plant the Bomb 4,742 times 47,420
14 Double Kill (2 kills) 10,684 times 10,684
15 Drop the Bomb 12,644 times -25288
16 Round MVP 16,924 times 0
17 Pick up the Bomb 22,710 times 45,420
18 Headshot 26,692 times 26,692




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,651 times -13255
2 Revenge 1,944 times -5832




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,140 times 28.12%
2 Counter-Terrorist 2,383 times 21.34%




  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 34 0.01% 16 0.01% 0.47
3 Fusil Automatique 1.00 45 0.01% 22 0.02% 0.49
4 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
5 Steyr Tactical Machine Pistol 1.50 60 0.02% 30 0.02% 0.50
6 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 28 0.02% 0.36
7 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
8 Glock 18 Select Fire 1.40 104 0.03% 51 0.04% 0.49
9 H&K MP5-Navy 1.20 105 0.03% 45 0.03% 0.43
10 Ingram MAC-10 1.50 118 0.03% 59 0.05% 0.50
11 Galil 1.10 120 0.03% 50 0.04% 0.42
12 H&K USP .45 Tactical 1.40 134 0.04% 68 0.05% 0.51
13 Dual Beretta 96G Elite 1.40 222 0.06% 101 0.08% 0.45
14 Benelli M3 Super 90 Combat 1.20 635 0.19% 266 0.21% 0.42
15 Sig Sauer SG-552 Commando 1.00 977 0.28% 436 0.34% 0.45
16 Sig Sauer P-228 1.50 1,268 0.37% 535 0.41% 0.42
17 FN P90 1.20 1,498 0.44% 664 0.51% 0.44
18 Bundeswehr Advanced Combat Knife 2.00 1,680 0.49% 2 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 2,118 0.62% 1,036 0.80% 0.49
20 Arctic Warfare Magnum (Police) 1.00 2,375 0.69% 386 0.30% 0.16
21 High Explosive Grenade 1.80 2,474 0.72% 0 0.00% 0.00
22 Steyr Scout 1.10 5,741 1.67% 3,602 2.78% 0.63
23 Desert Eagle .50AE 1.20 6,357 1.85% 3,559 2.75% 0.56
24 Colt M4A1 Carbine 1.00 11,499 3.35% 5,186 4.01% 0.45
25 Kalashnikov AK-47 1.00 19,626 5.72% 9,948 7.69% 0.51




  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) 9,982 3,445 460,463 393 2,383 5.0381 34.5% 133.7 4.2
3 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
4 Benelli M3 Super 90 Combat 2,852 5,763 83,602 266 635 2.1026 202.1% 14.5 4.5
5 Steyr Scout 45,989 13,827 1,323,011 3,595 5,735 2.4188 30.1% 95.7 8.0
6 Desert Eagle .50AE 68,679 17,817 930,445 3,593 6,397 4.3905 25.9% 52.2 10.7
7 Benelli/H&K M4 Super 90 XM1014 1,356 947 11,129 28 77 15.4000 69.8% 11.8 17.6
8 FN Five-Seven 1,285 334 8,810 29 60 30.0000 26.0% 26.4 21.4
9 Dual Beretta 96G Elite 5,489 1,103 30,605 101 222 74.0000 20.1% 27.7 24.7
10 Fusil Automatique 1,149 203 6,396 21 43 43.0000 17.7% 31.5 26.7
11 Sig Sauer P-228 34,074 5,262 162,539 535 1,268 23.9245 15.4% 30.9 26.9
12 Galil 3,367 498 16,652 50 120 60.0000 14.8% 33.4 28.1
13 Bundeswehr Advanced Combat Knife 12,278 1,196 62,468 2 418 1.7563 9.7% 52.2 29.4
14 Kalashnikov AK-47 598,432 71,066 2,814,881 10,376 20,154 9.1443 11.9% 39.6 29.7
15 Colt M4A1 Carbine 413,280 50,930 1,615,919 5,183 11,496 10.9278 12.3% 31.7 35.9
16 Steyr Aug 3,030 429 12,653 40 81 11.5714 14.2% 29.5 37.4
17 H&K USP .45 Tactical 5,130 922 19,133 67 133 10.2308 18.0% 20.8 38.6
18 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
19 H&K MP5-Navy 4,946 901 15,000 44 103 11.4444 18.2% 16.6 48.0
20 Glock 18 Select Fire 5,059 886 15,670 50 102 6.8000 17.5% 17.7 49.6
21 FN P90 75,020 8,489 198,704 664 1,498 10.1216 11.3% 23.4 50.1
22 M249 PARA Light Machine Gun 110,599 8,150 307,977 1,088 2,176 13.1084 7.4% 37.8 50.8
23 H&K UMP45 2,045 267 5,399 16 33 16.5000 13.1% 20.2 62.0
24 Steyr Tactical Machine Pistol 4,000 503 8,982 29 59 59.0000 12.6% 17.9 67.8
25 Sig Sauer SG-552 Commando 74,521 5,043 146,006 449 993 38.1923 6.8% 29.0 75.0




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
2 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
3 Bundeswehr Advanced Combat Knife 55 23.6% 69.1% 7.3%
4 Fusil Automatique 203 22.2% 64.5% 13.3%
5 H&K UMP45 267 25.1% 55.1% 19.9%
6 FN Five-Seven 334 23.7% 62.0% 14.4%
7 Steyr Aug 429 28.0% 56.6% 15.4%
8 Galil 498 28.7% 55.6% 15.7%
9 Steyr Tactical Machine Pistol 503 25.8% 63.0% 11.1%
10 Ingram MAC-10 826 26.6% 59.0% 14.4%
11 Glock 18 Select Fire 886 26.2% 62.5% 11.3%
12 H&K MP5-Navy 901 28.6% 56.6% 14.8%
13 H&K USP .45 Tactical 922 25.3% 62.5% 12.3%
14 Benelli/H&K M4 Super 90 XM1014 947 27.0% 56.5% 16.5%
15 Dual Beretta 96G Elite 1,103 24.9% 61.6% 13.5%
16 Arctic Warfare Magnum (Police) 3,445 32.7% 57.4% 9.9%
17 Sig Sauer SG-552 Commando 5,043 28.9% 55.9% 15.2%
18 Sig Sauer P-228 5,262 28.8% 57.4% 13.7%
19 Benelli M3 Super 90 Combat 5,763 29.5% 57.5% 13.0%
20 M249 PARA Light Machine Gun 8,150 28.2% 57.4% 14.5%
21 FN P90 8,489 28.0% 56.3% 15.6%
22 Steyr Scout 13,802 26.3% 65.0% 8.7%
23 Desert Eagle .50AE 17,817 26.2% 61.8% 12.0%
24 Colt M4A1 Carbine 50,930 27.8% 59.2% 13.0%
25 Kalashnikov AK-47 71,066 27.1% 59.1% 13.8%


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 / 342924 * 100, 2) AS kpercent,
			ROUND(headshots / 129431 * 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