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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.75%
Members: 28 active members (73 total)
Avg. Member Points: 11,665
Total Kills: 368,148
Total Deaths: 306,399
Avg. Kills: 13,148
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 401d 16:03:24h
Avg. Connection Time: 14d 08:17:15h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points Activity Time Kills Clan Kills % Deaths Kpd sort-descending.gif
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,028 46d 20:02:00h 68,946 18.73% 31,366 2.20
2  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.84% 1,465 2.12
3  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.93% 5,572 1.93
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.84% 16,883 1.93
5  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.23% 12,180 1.58
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.39% 15,929 1.48
7  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.29% 775 1.38
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.16% 3,263 1.31
9  Russian federationИлья190RUS elorank 12,528 3d 16:10:37h 3,856 1.05% 3,327 1.16
10  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.77% 15,207 1.15
11  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.14% 10,412 1.11
12  Russian federationKAZANTIP elorank 12,701 49d 21:12:27h 42,010 11.41% 38,583 1.09
13  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
14  Russian federationStanislav752 elorank 10,874 15d 03:18:13h 12,560 3.41% 11,886 1.06
15  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.77% 24,192 1.03
16  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.77% 13,411 1.03
17  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.13% 471 1.02
18  Russian federationShalfeYka elorank 9,965 1d 21:28:34h 1,645 0.45% 1,663 0.99
19  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,227 3d 09:51:28h 3,247 0.88% 3,410 0.95
20  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.42% 22,106 0.90


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 26,549 times 26,549
2 Pick up the Bomb 23,317 times 46,634
3 Round MVP 16,211 times 0
4 Drop the Bomb 12,786 times -25572
5 Double Kill (2 kills) 10,079 times 10,079
6 Plant the Bomb 5,048 times 50,480
7 Domination 3,187 times 15,935
8 Triple Kill (3 kills) 2,468 times 4,936
9 Revenge 1,619 times 4,857
10 Start Defusing the Bomb With a Defuse Kit 620 times 0
11 Domination (4 kills) 442 times 1,326
12 Defuse the Bomb 424 times 4,240
13 Start Defusing the Bomb Without a Defuse Kit 53 times 0
14 Rampage (5 kills) 47 times 188
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 Points Bonus sort-descending.gif
1 Revenge 1,897 times -5691
2 Domination 2,603 times -13015




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,103 times 28.94%
2 Counter-Terrorist 2,160 times 20.14%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots sort-descending.gif Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 20,067 5.45% 9,991 7.30% 0.50
2 Colt M4A1 Carbine 1.00 10,683 2.90% 4,717 3.45% 0.44
3 Steyr Scout 1.10 5,261 1.43% 3,176 2.32% 0.60
4 Desert Eagle .50AE 1.20 5,426 1.47% 2,932 2.14% 0.54
5 M249 PARA Light Machine Gun 1.20 2,032 0.55% 1,011 0.74% 0.50
6 FN P90 1.20 1,463 0.40% 647 0.47% 0.44
7 Sig Sauer P-228 1.50 1,260 0.34% 525 0.38% 0.42
8 Sig Sauer SG-552 Commando 1.00 988 0.27% 443 0.32% 0.45
9 Arctic Warfare Magnum (Police) 1.00 2,374 0.64% 376 0.27% 0.16
10 Benelli M3 Super 90 Combat 1.20 752 0.20% 302 0.22% 0.40
11 Dual Beretta 96G Elite 1.40 219 0.06% 100 0.07% 0.46
12 H&K USP .45 Tactical 1.40 132 0.04% 68 0.05% 0.52
13 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
14 Galil 1.10 124 0.03% 52 0.04% 0.42
15 Glock 18 Select Fire 1.40 103 0.03% 50 0.04% 0.49
16 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
17 Steyr Aug 1.00 70 0.02% 33 0.02% 0.47
18 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 28 0.02% 0.36
19 Steyr Tactical Machine Pistol 1.50 51 0.01% 28 0.02% 0.55
20 FN Five-Seven 1.50 57 0.02% 28 0.02% 0.49
21 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
22 Fusil Automatique 1.00 24 0.01% 9 0.01% 0.38
23 Bundeswehr Advanced Combat Knife 2.00 1,441 0.39% 2 0.00% 0.00
24 High Explosive Grenade 1.80 2,162 0.59% 0 0.00% 0.00
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-47 614,542 75,008 3,000,075 11,311 21,735 9.9111 12.2% 40.0 28.3
2 Colt M4A1 Carbine 398,292 47,901 1,504,182 4,725 10,694 10.7262 12.0% 31.4 37.2
3 Desert Eagle .50AE 60,013 15,845 836,048 3,258 5,809 4.4242 26.4% 52.8 10.3
4 Steyr Scout 43,109 12,851 1,227,233 3,237 5,371 2.5748 29.8% 95.5 8.0
5 Arctic Warfare Magnum (Police) 10,152 3,460 457,893 383 2,382 5.3408 34.1% 132.3 4.3
6 M249 PARA Light Machine Gun 107,494 8,037 308,583 1,125 2,181 13.5466 7.5% 38.4 49.3
7 FN P90 73,931 8,349 194,958 647 1,463 9.9524 11.3% 23.4 50.5
8 Sig Sauer P-228 31,976 5,130 159,701 525 1,260 22.9091 16.0% 31.1 25.4
9 Sig Sauer SG-552 Commando 74,745 5,052 146,713 456 1,004 43.6522 6.8% 29.0 74.4
10 Benelli M3 Super 90 Combat 3,298 6,719 96,292 302 752 2.3210 203.7% 14.3 4.4
11 Bundeswehr Advanced Combat Knife 12,554 1,238 63,291 2 420 1.6935 9.9% 51.1 29.9
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 4,701 836 17,957 67 131 10.0769 17.8% 21.5 35.9
14 Galil 3,684 530 17,452 52 124 62.0000 14.4% 32.9 29.7
15 Ingram MAC-10 5,114 864 15,804 60 119 29.7500 16.9% 18.3 43.0
16 Glock 18 Select Fire 5,029 887 15,568 49 101 6.7333 17.6% 17.6 49.8
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 1,391 955 11,192 28 77 15.4000 68.7% 11.7 18.1
19 Steyr Aug 2,654 361 10,875 33 70 17.5000 13.6% 30.1 37.9
20 FN Five-Seven 1,330 371 9,929 37 69 34.5000 27.9% 26.8 19.3
21 Steyr Tactical Machine Pistol 3,069 430 7,721 28 51 51.0000 14.0% 18.0 60.2
22 H&K UMP45 2,034 267 5,399 16 33 16.5000 13.1% 20.2 61.6
23 Fusil Automatique 687 121 3,616 8 22 22.0000 17.6% 29.9 31.2
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 75,008 26.7% 59.8% 13.6%
2 Colt M4A1 Carbine 47,901 28.0% 58.7% 13.2%
3 Desert Eagle .50AE 15,845 25.8% 61.9% 12.3%
4 Steyr Scout 12,826 26.3% 65.0% 8.7%
5 FN P90 8,349 28.1% 56.3% 15.5%
6 M249 PARA Light Machine Gun 8,037 27.9% 57.9% 14.2%
7 Benelli M3 Super 90 Combat 6,719 29.0% 58.0% 13.0%
8 Sig Sauer P-228 5,130 29.1% 57.1% 13.8%
9 Sig Sauer SG-552 Commando 5,052 28.9% 56.0% 15.2%
10 Arctic Warfare Magnum (Police) 3,460 32.5% 57.9% 9.7%
11 Dual Beretta 96G Elite 1,090 25.0% 61.3% 13.7%
12 Benelli/H&K M4 Super 90 XM1014 955 27.3% 56.0% 16.6%
13 Glock 18 Select Fire 887 25.8% 62.6% 11.6%
14 Ingram MAC-10 864 26.7% 58.9% 14.4%
15 H&K MP5-Navy 855 29.4% 56.3% 14.4%
16 H&K USP .45 Tactical 836 24.3% 62.7% 13.0%
17 Galil 530 28.1% 55.5% 16.4%
18 Steyr Tactical Machine Pistol 430 27.2% 63.0% 9.8%
19 FN Five-Seven 371 20.5% 65.8% 13.7%
20 Steyr Aug 361 28.3% 56.0% 15.8%
21 H&K UMP45 267 25.1% 55.1% 19.9%
22 Fusil Automatique 121 19.0% 63.6% 17.4%
23 Bundeswehr Advanced Combat Knife 54 22.2% 72.2% 5.6%
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 / 368148 * 100, 2) AS kpercent,
			ROUND(headshots / 136789 * 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