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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 77.16%
Members: 30 active members (75 total)
Avg. Member Points: 11,736
Total Kills: 374,858
Total Deaths: 312,023
Avg. Kills: 12,495
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 408d 15:44:21h
Avg. Connection Time: 13d 14:55:28h
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 18.39% 31,366 2.20
2  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.83% 1,465 2.12
3  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.87% 5,572 1.93
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.68% 16,883 1.93
5  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.13% 12,180 1.58
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.27% 15,929 1.48
7  Russian federationубивашка 62 elorank 15,754 4d 11:09:17h 5,238 1.40% 3,672 1.43
8  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.28% 775 1.38
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.14% 3,263 1.31
10  Russian federationИлья190RUS elorank 12,528 3d 16:10:37h 3,856 1.03% 3,327 1.16
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.68% 15,207 1.15
12  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.08% 10,412 1.11
13  Russian federationKAZANTIP elorank 12,701 49d 21:12:27h 42,010 11.21% 38,583 1.09
14  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
15  Russian federationStanislav752 elorank 10,874 15d 03:18:13h 12,560 3.35% 11,886 1.06
16  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.65% 24,192 1.03
17  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.70% 13,411 1.03
18  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.13% 471 1.02
19  Russian federationShalfeYka elorank 9,965 1d 21:28:34h 1,645 0.44% 1,663 0.99
20  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,227 3d 09:51:28h 3,247 0.87% 3,410 0.95


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 29,752 times 29,752
2 Pick up the Bomb 24,677 times 49,354
3 Round MVP 18,156 times 0
4 Drop the Bomb 13,542 times -27084
5 Double Kill (2 kills) 11,365 times 11,365
6 Plant the Bomb 5,322 times 53,220
7 Domination 3,558 times 17,790
8 Triple Kill (3 kills) 2,780 times 5,560
9 Revenge 1,764 times 5,292
10 Start Defusing the Bomb With a Defuse Kit 734 times 0
11 Defuse the Bomb 533 times 5,330
12 Domination (4 kills) 496 times 1,488
13 Start Defusing the Bomb Without a Defuse Kit 71 times 0
14 Rampage (5 kills) 51 times 204
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 4 times 20
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-descending.gif
1 Revenge 2,116 times -6348
2 Domination 2,848 times -14240




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,355 times 27.90%
2 Counter-Terrorist 2,578 times 21.44%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 21,321 5.69% 10,712 7.65% 0.50
2 Colt M4A1 Carbine 1.00 12,259 3.27% 5,518 3.94% 0.45
3 Desert Eagle .50AE 1.20 6,724 1.79% 3,670 2.62% 0.55
4 Steyr Scout 1.10 6,537 1.74% 3,969 2.83% 0.61
5 Arctic Warfare Magnum (Police) 1.00 2,757 0.74% 451 0.32% 0.16
6 High Explosive Grenade 1.80 2,660 0.71% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,084 0.56% 1,036 0.74% 0.50
8 Bundeswehr Advanced Combat Knife 2.00 1,671 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,468 0.39% 652 0.47% 0.44
10 Sig Sauer P-228 1.50 1,262 0.34% 526 0.38% 0.42
11 Sig Sauer SG-552 Commando 1.00 1,008 0.27% 450 0.32% 0.45
12 Benelli M3 Super 90 Combat 1.20 790 0.21% 318 0.23% 0.40
13 Dual Beretta 96G Elite 1.40 222 0.06% 101 0.07% 0.45
14 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
15 Galil 1.10 125 0.03% 52 0.04% 0.42
16 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
17 Glock 18 Select Fire 1.40 114 0.03% 54 0.04% 0.47
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 86 0.02% 41 0.03% 0.48
20 Benelli/H&K M4 Super 90 XM1014 1.10 80 0.02% 29 0.02% 0.36
21 Steyr Tactical Machine Pistol 1.50 59 0.02% 31 0.02% 0.53
22 FN Five-Seven 1.50 58 0.02% 28 0.02% 0.48
23 Fusil Automatique 1.00 40 0.01% 18 0.01% 0.45
24 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
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 Kills per Death Accuracy Damage per Hit sort-descending.gif Shots per Kill
1 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
2 Arctic Warfare Magnum (Police) 11,450 3,961 533,101 458 2,765 5.3173 34.6% 134.6 4.1
3 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
4 Steyr Scout 53,803 16,034 1,532,092 4,025 6,642 2.5429 29.8% 95.6 8.1
5 Desert Eagle .50AE 74,637 19,608 1,027,305 3,994 7,105 4.5025 26.3% 52.4 10.5
6 Bundeswehr Advanced Combat Knife 21,565 1,309 67,767 2 448 1.5610 6.1% 51.8 48.1
7 Kalashnikov AK-47 641,173 79,480 3,182,277 12,031 22,987 9.4093 12.4% 40.0 27.9
8 M249 PARA Light Machine Gun 109,380 8,243 315,429 1,150 2,233 13.7840 7.5% 38.3 49.0
9 Galil 3,713 534 17,592 52 125 62.5000 14.4% 32.9 29.7
10 Colt M4A1 Carbine 434,854 54,331 1,719,099 5,522 12,263 10.6914 12.5% 31.6 35.5
11 Sig Sauer P-228 32,017 5,138 159,973 526 1,262 22.9455 16.0% 31.1 25.4
12 Fusil Automatique 1,081 192 5,897 17 38 38.0000 17.8% 30.7 28.4
13 Steyr Aug 3,150 449 13,317 41 86 12.2857 14.3% 29.7 36.6
14 Sig Sauer SG-552 Commando 75,188 5,163 150,019 463 1,024 39.3846 6.9% 29.1 73.4
15 Dual Beretta 96G Elite 5,481 1,099 30,508 101 222 74.0000 20.1% 27.8 24.7
16 FN Five-Seven 1,383 381 10,110 37 70 35.0000 27.5% 26.5 19.8
17 FN P90 74,063 8,376 195,651 652 1,468 9.9189 11.3% 23.4 50.5
18 H&K USP .45 Tactical 5,636 1,007 20,954 72 147 10.5000 17.9% 20.8 38.3
19 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
20 Ingram MAC-10 5,114 864 15,804 60 119 29.7500 16.9% 18.3 43.0
21 Steyr Tactical Machine Pistol 3,871 492 8,827 31 59 59.0000 12.7% 17.9 65.6
22 Glock 18 Select Fire 5,448 985 17,083 53 112 7.4667 18.1% 17.3 48.6
23 H&K MP5-Navy 4,887 886 14,719 43 100 11.1111 18.1% 16.6 48.9
24 Benelli M3 Super 90 Combat 3,488 7,131 101,666 318 790 2.3235 204.4% 14.3 4.4
25 Benelli/H&K M4 Super 90 XM1014 1,418 976 11,452 29 80 16.0000 68.8% 11.7 17.7




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 79,480 26.6% 59.8% 13.5%
2 Colt M4A1 Carbine 54,331 27.7% 59.2% 13.0%
3 Desert Eagle .50AE 19,608 25.8% 62.1% 12.1%
4 Steyr Scout 16,009 26.3% 65.0% 8.7%
5 FN P90 8,376 28.1% 56.4% 15.5%
6 M249 PARA Light Machine Gun 8,243 28.0% 57.9% 14.1%
7 Benelli M3 Super 90 Combat 7,131 29.1% 57.9% 13.0%
8 Sig Sauer SG-552 Commando 5,163 28.8% 56.1% 15.1%
9 Sig Sauer P-228 5,138 29.1% 57.1% 13.8%
10 Arctic Warfare Magnum (Police) 3,961 32.4% 57.6% 10.0%
11 Dual Beretta 96G Elite 1,099 24.9% 61.5% 13.6%
12 H&K USP .45 Tactical 1,007 24.3% 62.9% 12.8%
13 Glock 18 Select Fire 985 26.1% 61.5% 12.4%
14 Benelli/H&K M4 Super 90 XM1014 976 27.5% 56.0% 16.5%
15 H&K MP5-Navy 886 28.6% 56.5% 14.9%
16 Ingram MAC-10 864 26.7% 58.9% 14.4%
17 Galil 534 27.9% 55.4% 16.7%
18 Steyr Tactical Machine Pistol 492 25.4% 63.0% 11.6%
19 Steyr Aug 449 28.3% 56.8% 14.9%
20 FN Five-Seven 381 21.0% 65.6% 13.4%
21 H&K UMP45 270 24.8% 55.2% 20.0%
22 Fusil Automatique 192 20.3% 64.1% 15.6%
23 Bundeswehr Advanced Combat Knife 63 22.2% 73.0% 4.8%
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 / 374858 * 100, 2) AS kpercent,
			ROUND(headshots / 140004 * 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