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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.29%
Members: 27 active members (73 total)
Avg. Member Points: 11,465
Total Kills: 336,699
Total Deaths: 290,788
Avg. Kills: 12,470
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 378d 18:40:52h
Avg. Connection Time: 14d 00:41:30h
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 20.50% 31,407 2.20
2  Russian federation⇜Ṧ†êrvå⇝ elorank 9,360 6d 14:02:54h 4,753 1.41% 6,226 0.76
3  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.48% 11,872 0.42
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.98% 15,929 1.48
5  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.92% 1,465 2.12
6  Russian federationИлья190RUS elorank 12,498 3d 17:00:53h 3,876 1.15% 3,367 1.15
7  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.20% 5,572 1.93
8  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.14% 471 1.02
9  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 4.12% 13,411 1.03
10  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.24% 754 1.08
11  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.32% 775 1.38
12  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.40% 24,192 1.03
13  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.32% 5,036 0.88
14  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.85% 12,310 1.05
15  Russian federationSprut elorank 9,350 2d 04:11:57h 1,728 0.51% 2,235 0.77
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,038 3d 11:25:37h 3,296 0.98% 3,476 0.95
17  Russian federationShalfeYka elorank 10,203 1d 23:56:29h 1,753 0.52% 1,755 1.00
18  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.43% 10,412 1.11
19  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.80% 18,072 0.89
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.27% 3,263 1.31


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 23,552 times 23,552
2 Pick up the Bomb 21,713 times 43,426
3 Round MVP 14,976 times 0
4 Drop the Bomb 12,184 times -24368
5 Double Kill (2 kills) 9,418 times 9,418
6 Plant the Bomb 4,451 times 44,510
7 Domination 2,907 times 14,535
8 Triple Kill (3 kills) 2,247 times 4,494
9 Revenge 1,544 times 4,632
10 Start Defusing the Bomb With a Defuse Kit 590 times 0
11 Domination (4 kills) 393 times 1,179
12 Defuse the Bomb 391 times 3,910
13 Start Defusing the Bomb Without a Defuse Kit 48 times 0
14 Rampage (5 kills) 43 times 172
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 2 times 10
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-ascending.gif Points Bonus
1 Revenge 1,693 times -5079
2 Domination 2,495 times -12475




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,950 times 28.94%
2 Counter-Terrorist 2,055 times 20.16%




  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 Fusil Automatique 1.00 23 0.01% 9 0.01% 0.39
3 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
4 Steyr Tactical Machine Pistol 1.50 50 0.01% 27 0.02% 0.54
5 FN Five-Seven 1.50 57 0.02% 28 0.02% 0.49
6 Steyr Aug 1.00 64 0.02% 31 0.02% 0.48
7 Benelli/H&K M4 Super 90 XM1014 1.10 74 0.02% 27 0.02% 0.36
8 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
9 Glock 18 Select Fire 1.40 103 0.03% 50 0.04% 0.49
10 Ingram MAC-10 1.50 118 0.04% 59 0.05% 0.50
11 Galil 1.10 119 0.04% 50 0.04% 0.42
12 H&K USP .45 Tactical 1.40 128 0.04% 65 0.05% 0.51
13 Dual Beretta 96G Elite 1.40 219 0.07% 100 0.08% 0.46
14 Benelli M3 Super 90 Combat 1.20 602 0.18% 251 0.20% 0.42
15 Sig Sauer SG-552 Commando 1.00 958 0.28% 429 0.34% 0.45
16 Sig Sauer P-228 1.50 1,268 0.38% 535 0.42% 0.42
17 Bundeswehr Advanced Combat Knife 2.00 1,423 0.42% 2 0.00% 0.00
18 FN P90 1.20 1,494 0.44% 660 0.52% 0.44
19 High Explosive Grenade 1.80 1,982 0.59% 0 0.00% 0.00
20 M249 PARA Light Machine Gun 1.20 2,064 0.61% 1,014 0.80% 0.49
21 Arctic Warfare Magnum (Police) 1.00 2,127 0.63% 325 0.26% 0.15
22 Steyr Scout 1.10 5,048 1.50% 3,048 2.41% 0.60
23 Desert Eagle .50AE 1.20 5,124 1.52% 2,771 2.19% 0.54
24 Colt M4A1 Carbine 1.00 9,718 2.89% 4,286 3.39% 0.44
25 Kalashnikov AK-47 1.00 18,284 5.43% 9,180 7.27% 0.50




  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) 9,222 3,108 407,591 332 2,135 5.1820 33.7% 131.1 4.3
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 2,692 5,397 78,945 251 602 2.0546 200.5% 14.6 4.5
5 Steyr Scout 41,330 12,122 1,153,962 3,045 5,046 2.4567 29.3% 95.2 8.2
6 Desert Eagle .50AE 55,172 14,315 744,611 2,808 5,167 4.1502 25.9% 52.0 10.7
7 Benelli/H&K M4 Super 90 XM1014 1,324 917 10,783 27 74 14.8000 69.3% 11.8 17.9
8 FN Five-Seven 1,214 319 8,515 29 58 29.0000 26.3% 26.7 20.9
9 Dual Beretta 96G Elite 5,451 1,094 30,182 100 219 73.0000 20.1% 27.6 24.9
10 Sig Sauer P-228 34,059 5,259 162,467 535 1,268 23.9245 15.4% 30.9 26.9
11 Galil 3,338 494 16,512 50 119 59.5000 14.8% 33.4 28.1
12 Bundeswehr Advanced Combat Knife 11,997 1,154 59,810 2 400 1.7094 9.6% 51.8 30.0
13 Kalashnikov AK-47 569,774 66,288 2,620,196 9,609 18,814 9.6285 11.6% 39.5 30.3
14 Fusil Automatique 670 115 3,484 8 21 21.0000 17.2% 30.3 31.9
15 H&K USP .45 Tactical 4,495 813 17,422 64 127 9.7692 18.1% 21.4 35.4
16 Colt M4A1 Carbine 372,558 43,751 1,374,378 4,287 9,722 10.8022 11.7% 31.4 38.3
17 Steyr Aug 2,534 341 10,211 32 65 16.2500 13.5% 29.9 39.0
18 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
19 H&K MP5-Navy 4,722 855 14,170 41 98 10.8889 18.1% 16.6 48.2
20 Glock 18 Select Fire 4,973 881 15,544 49 101 6.7333 17.7% 17.6 49.2
21 FN P90 74,992 8,468 198,160 660 1,494 10.1633 11.3% 23.4 50.2
22 M249 PARA Light Machine Gun 108,790 7,935 301,158 1,066 2,122 12.8606 7.3% 38.0 51.3
23 Steyr Tactical Machine Pistol 2,992 422 7,507 26 49 49.0000 14.1% 17.8 61.1
24 H&K UMP45 2,034 267 5,399 16 33 16.5000 13.1% 20.2 61.6
25 Sig Sauer SG-552 Commando 74,092 4,936 142,800 442 974 42.3478 6.7% 28.9 76.1




  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 53 24.5% 67.9% 7.5%
4 Fusil Automatique 115 20.0% 64.3% 15.7%
5 H&K UMP45 267 25.1% 55.1% 19.9%
6 FN Five-Seven 319 23.2% 61.8% 15.0%
7 Steyr Aug 341 27.9% 55.7% 16.4%
8 Steyr Tactical Machine Pistol 422 27.5% 63.0% 9.5%
9 Galil 494 28.9% 55.7% 15.4%
10 H&K USP .45 Tactical 813 24.6% 62.2% 13.2%
11 Ingram MAC-10 826 26.6% 59.0% 14.4%
12 H&K MP5-Navy 855 29.4% 56.3% 14.4%
13 Glock 18 Select Fire 881 26.1% 62.5% 11.4%
14 Benelli/H&K M4 Super 90 XM1014 917 26.8% 56.6% 16.6%
15 Dual Beretta 96G Elite 1,094 25.0% 61.3% 13.6%
16 Arctic Warfare Magnum (Police) 3,108 32.8% 57.4% 9.8%
17 Sig Sauer SG-552 Commando 4,936 28.9% 55.8% 15.3%
18 Sig Sauer P-228 5,259 28.8% 57.4% 13.7%
19 Benelli M3 Super 90 Combat 5,397 29.7% 57.5% 12.8%
20 M249 PARA Light Machine Gun 7,935 28.0% 57.5% 14.5%
21 FN P90 8,468 28.1% 56.3% 15.6%
22 Steyr Scout 12,097 26.5% 64.7% 8.9%
23 Desert Eagle .50AE 14,315 26.4% 61.0% 12.6%
24 Colt M4A1 Carbine 43,751 28.2% 58.5% 13.3%
25 Kalashnikov AK-47 66,288 27.2% 59.0% 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 / 336699 * 100, 2) AS kpercent,
			ROUND(headshots / 126279 * 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