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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.57%
Members: 28 active members (73 total)
Avg. Member Points: 11,690
Total Kills: 368,894
Total Deaths: 307,271
Avg. Kills: 13,175
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 402d 15:00:51h
Avg. Connection Time: 14d 09:06:27h
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♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.82% 16,883 1.93
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,787 46d 21:12:43h 69,011 18.71% 31,407 2.20
3  Russian federation⇜Ṧ†êrvå⇝ elorank 9,371 6d 13:35:27h 4,746 1.29% 6,212 0.76
4  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.36% 11,872 0.42
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.37% 15,929 1.48
6  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.84% 1,465 2.12
7  Russian federationИлья190RUS elorank 12,501 3d 16:45:26h 3,873 1.05% 3,361 1.15
8  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.92% 5,572 1.93
9  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.13% 471 1.02
10  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.76% 13,411 1.03
11  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
12  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.29% 775 1.38
13  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.76% 24,192 1.03
14  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.21% 5,036 0.88
15  Russian federationStanislav752 elorank 10,732 15d 11:54:32h 12,854 3.48% 12,202 1.05
16  Russian federationSprut elorank 9,060 2d 03:06:42h 1,688 0.46% 2,193 0.77
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,292 3d 10:16:59h 3,267 0.89% 3,432 0.95
18  Russian federationShalfeYka elorank 10,238 1d 22:48:31h 1,696 0.46% 1,717 0.99
19  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.13% 10,412 1.11
20  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.38% 18,072 0.89


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 23,854 times 23,854
2 Pick up the Bomb 21,926 times 43,852
3 Round MVP 15,176 times 0
4 Drop the Bomb 12,297 times -24594
5 Double Kill (2 kills) 9,540 times 9,540
6 Plant the Bomb 4,515 times 45,150
7 Domination 2,962 times 14,810
8 Triple Kill (3 kills) 2,287 times 4,574
9 Revenge 1,555 times 4,665
10 Start Defusing the Bomb With a Defuse Kit 598 times 0
11 Domination (4 kills) 398 times 1,194
12 Defuse the Bomb 398 times 3,980
13 Start Defusing the Bomb Without a Defuse Kit 48 times 0
14 Rampage (5 kills) 44 times 176
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-descending.gif Points Bonus
1 Domination 2,507 times -12535
2 Revenge 1,719 times -5157




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,082 times 20.21%
2 Terrorist 2,977 times 28.90%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 18,680 5.06% 9,367 6.83% 0.50
2 Colt M4A1 Carbine 1.00 9,891 2.68% 4,364 3.18% 0.44
3 Desert Eagle .50AE 1.20 5,162 1.40% 2,801 2.04% 0.54
4 Steyr Scout 1.10 5,059 1.37% 3,051 2.23% 0.60
5 Arctic Warfare Magnum (Police) 1.00 2,157 0.58% 330 0.24% 0.15
6 M249 PARA Light Machine Gun 1.20 2,039 0.55% 1,003 0.73% 0.49
7 High Explosive Grenade 1.80 2,015 0.55% 0 0.00% 0.00
8 FN P90 1.20 1,499 0.41% 660 0.48% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,423 0.39% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,265 0.34% 530 0.39% 0.42
11 Sig Sauer SG-552 Commando 1.00 966 0.26% 433 0.32% 0.45
12 Benelli M3 Super 90 Combat 1.20 608 0.16% 253 0.18% 0.42
13 Dual Beretta 96G Elite 1.40 219 0.06% 100 0.07% 0.46
14 H&K USP .45 Tactical 1.40 131 0.04% 68 0.05% 0.52
15 Galil 1.10 123 0.03% 53 0.04% 0.43
16 Ingram MAC-10 1.50 118 0.03% 59 0.04% 0.50
17 Glock 18 Select Fire 1.40 103 0.03% 50 0.04% 0.49
18 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
19 Benelli/H&K M4 Super 90 XM1014 1.10 76 0.02% 27 0.02% 0.36
20 Steyr Aug 1.00 70 0.02% 34 0.02% 0.49
21 FN Five-Seven 1.50 57 0.02% 28 0.02% 0.49
22 Steyr Tactical Machine Pistol 1.50 50 0.01% 27 0.02% 0.54
23 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
24 Fusil Automatique 1.00 23 0.01% 9 0.01% 0.39
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 578,376 67,605 2,673,234 9,796 19,210 9.6050 11.7% 39.5 30.1
2 Colt M4A1 Carbine 376,113 44,478 1,398,342 4,365 9,895 10.7321 11.8% 31.4 38.0
3 Desert Eagle .50AE 55,354 14,386 750,396 2,838 5,205 4.1540 26.0% 52.2 10.6
4 Steyr Scout 41,261 12,144 1,155,759 3,048 5,057 2.4765 29.4% 95.2 8.2
5 Arctic Warfare Magnum (Police) 9,326 3,153 413,329 337 2,165 5.2043 33.8% 131.1 4.3
6 M249 PARA Light Machine Gun 107,663 7,866 298,216 1,055 2,097 12.7866 7.3% 37.9 51.3
7 FN P90 75,001 8,486 198,481 660 1,499 10.1973 11.3% 23.4 50.0
8 Sig Sauer P-228 33,269 5,178 160,423 530 1,265 23.4259 15.6% 31.0 26.3
9 Sig Sauer SG-552 Commando 74,235 4,962 143,677 446 982 42.6957 6.7% 29.0 75.6
10 Benelli M3 Super 90 Combat 2,712 5,465 79,762 253 608 2.0403 201.5% 14.6 4.5
11 Bundeswehr Advanced Combat Knife 12,097 1,166 60,313 2 402 1.7034 9.6% 51.7 30.1
12 Dual Beretta 96G Elite 5,443 1,090 30,085 100 219 73.0000 20.0% 27.6 24.9
13 H&K USP .45 Tactical 4,592 827 17,804 67 130 10.0000 18.0% 21.5 35.3
14 Galil 3,649 523 17,323 53 123 61.5000 14.3% 33.1 29.7
15 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
16 Glock 18 Select Fire 4,993 884 15,560 49 101 6.7333 17.7% 17.6 49.4
17 H&K MP5-Navy 4,722 855 14,170 41 98 10.8889 18.1% 16.6 48.2
18 Benelli/H&K M4 Super 90 XM1014 1,349 936 11,044 27 76 15.2000 69.4% 11.8 17.8
19 Steyr Aug 2,653 361 10,931 35 71 17.7500 13.6% 30.3 37.4
20 FN Five-Seven 1,210 319 8,515 29 58 29.0000 26.4% 26.7 20.9
21 Steyr Tactical Machine Pistol 3,012 427 7,557 26 49 49.0000 14.2% 17.7 61.5
22 H&K UMP45 2,034 267 5,399 16 33 16.5000 13.1% 20.2 61.6
23 Fusil Automatique 670 115 3,484 8 21 21.0000 17.2% 30.3 31.9
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
25 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 67,605 27.2% 59.0% 13.8%
2 Colt M4A1 Carbine 44,478 28.1% 58.6% 13.3%
3 Desert Eagle .50AE 14,386 26.4% 61.0% 12.6%
4 Steyr Scout 12,119 26.5% 64.6% 8.8%
5 FN P90 8,486 28.1% 56.3% 15.6%
6 M249 PARA Light Machine Gun 7,866 28.3% 57.3% 14.5%
7 Benelli M3 Super 90 Combat 5,465 29.6% 57.6% 12.8%
8 Sig Sauer P-228 5,178 28.8% 57.5% 13.7%
9 Sig Sauer SG-552 Commando 4,962 28.9% 55.8% 15.3%
10 Arctic Warfare Magnum (Police) 3,153 32.8% 57.4% 9.8%
11 Dual Beretta 96G Elite 1,090 25.0% 61.3% 13.7%
12 Benelli/H&K M4 Super 90 XM1014 936 27.1% 56.4% 16.5%
13 Glock 18 Select Fire 884 26.1% 62.4% 11.4%
14 H&K MP5-Navy 855 29.4% 56.3% 14.4%
15 H&K USP .45 Tactical 827 24.4% 62.5% 13.1%
16 Ingram MAC-10 826 26.6% 59.0% 14.4%
17 Galil 523 28.5% 55.3% 16.3%
18 Steyr Tactical Machine Pistol 427 27.9% 62.5% 9.6%
19 Steyr Aug 361 27.7% 56.2% 16.1%
20 FN Five-Seven 319 23.2% 61.8% 15.0%
21 H&K UMP45 267 25.1% 55.1% 19.9%
22 Fusil Automatique 115 20.0% 64.3% 15.7%
23 Bundeswehr Advanced Combat Knife 57 22.8% 70.2% 7.0%
24 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
25 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%


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 / 368894 * 100, 2) AS kpercent,
			ROUND(headshots / 137103 * 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