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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 79.58%
Members: 29 active members (74 total)
Avg. Member Points: 11,646
Total Kills: 364,886
Total Deaths: 296,597
Avg. Kills: 12,582
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 391d 14:54:30h
Avg. Connection Time: 13d 12:06:01h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points sort-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,390 46d 13:13:09h 68,524 18.78% 31,203 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.95% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.83% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.92% 16,883 1.93
5  Ukrainegusenica elorank 16,381 7d 17:00:37h 7,809 2.14% 6,110 1.28
6  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.17% 10,412 1.11
7  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.28% 12,180 1.58
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.17% 3,263 1.31
9  Russian federationKAZANTIP elorank 12,736 49d 20:24:08h 41,967 11.50% 38,555 1.09
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.85% 1,465 2.12
11  Russian federationИлья190RUS elorank 12,022 3d 09:54:51h 3,603 0.99% 3,106 1.16
12  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.81% 15,207 1.15
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.80% 13,411 1.03
14  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.44% 15,929 1.48
15  Russian federationStanislav752 elorank 9,912 14d 07:12:47h 11,813 3.24% 11,184 1.06
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,822 3d 06:39:57h 3,117 0.85% 3,278 0.95
17  Russian federationavpvovan elorank 9,783 5d 19:58:36h 4,434 1.22% 5,009 0.89
18  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.46% 22,106 0.90
19  Russian federationShalfeYka elorank 9,274 1d 14:17:13h 1,386 0.38% 1,397 0.99
20  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.43% 18,072 0.89


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 2,792 times 5,584
2 Touch a Hostage 4 times 0
3 Start Defusing the Bomb Without a Defuse Kit 59 times 0
4 Start Defusing the Bomb With a Defuse Kit 685 times 0
5 Round MVP 17,891 times 0
6 Revenge 1,736 times 5,208
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 58 times 232
9 Plant the Bomb 5,713 times 57,130
10 Pick up the Bomb 25,502 times 51,004
11 Mega Kill (6 kills) 2 times 10
12 Kill a Hostage 18 times -270
13 Headshot 28,904 times 28,904
14 Drop the Bomb 13,806 times -27612
15 Double Kill (2 kills) 11,077 times 11,077
16 Domination (4 kills) 503 times 1,509
17 Domination 3,562 times 17,810
18 Defuse the Bomb 473 times 4,730




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,804 times -14020
2 Revenge 2,096 times -6288




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,340 times 28.66%
2 Counter-Terrorist 2,358 times 20.24%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 22,588 6.19% 11,232 8.25% 0.50
2 Colt M4A1 Carbine 1.00 11,500 3.15% 5,040 3.70% 0.44
3 Steyr Scout 1.10 6,235 1.71% 3,673 2.70% 0.59
4 Desert Eagle .50AE 1.20 5,959 1.63% 3,131 2.30% 0.53
5 Arctic Warfare Magnum (Police) 1.00 2,846 0.78% 449 0.33% 0.16
6 High Explosive Grenade 1.80 2,447 0.67% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,037 0.56% 1,043 0.77% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,504 0.41% 2 0.00% 0.00
9 FN P90 1.20 1,484 0.41% 638 0.47% 0.43
10 Sig Sauer P-228 1.50 1,194 0.33% 476 0.35% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,048 0.29% 471 0.35% 0.45
12 Benelli M3 Super 90 Combat 1.20 815 0.22% 320 0.24% 0.39
13 Dual Beretta 96G Elite 1.40 177 0.05% 84 0.06% 0.47
14 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
15 Ingram MAC-10 1.50 125 0.03% 62 0.05% 0.50
16 Galil 1.10 122 0.03% 50 0.04% 0.41
17 Glock 18 Select Fire 1.40 114 0.03% 53 0.04% 0.46
18 H&K MP5-Navy 1.20 101 0.03% 42 0.03% 0.42
19 Benelli/H&K M4 Super 90 XM1014 1.10 79 0.02% 28 0.02% 0.35
20 Steyr Aug 1.00 75 0.02% 35 0.03% 0.47
21 Steyr Tactical Machine Pistol 1.50 65 0.02% 35 0.03% 0.54
22 FN Five-Seven 1.50 56 0.02% 27 0.02% 0.48
23 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
24 Fusil Automatique 1.00 30 0.01% 12 0.01% 0.40
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-47 678,992 83,712 3,347,686 12,551 24,255 9.7684 12.3% 40.0 28.0
2 Colt M4A1 Carbine 414,661 51,085 1,609,409 5,048 11,511 10.8594 12.3% 31.5 36.0
3 Desert Eagle .50AE 64,791 17,287 909,944 3,457 6,342 4.4883 26.7% 52.6 10.2
4 Steyr Scout 49,950 15,281 1,462,546 3,725 6,326 2.6249 30.6% 95.7 7.9
5 Arctic Warfare Magnum (Police) 11,726 4,046 543,055 456 2,854 5.5203 34.5% 134.2 4.1
6 M249 PARA Light Machine Gun 102,072 7,933 309,326 1,157 2,186 14.5733 7.8% 39.0 46.7
7 FN P90 74,469 8,445 196,160 638 1,484 9.8278 11.3% 23.2 50.2
8 Sig Sauer P-228 29,714 4,852 149,796 476 1,194 24.8750 16.3% 30.9 24.9
9 Sig Sauer SG-552 Commando 76,502 5,305 155,213 484 1,064 42.5600 6.9% 29.3 71.9
10 Benelli M3 Super 90 Combat 3,638 7,326 104,614 320 815 2.3219 201.4% 14.3 4.5
11 Bundeswehr Advanced Combat Knife 21,404 1,368 71,589 2 479 1.7046 6.4% 52.3 44.7
12 Dual Beretta 96G Elite 4,553 869 24,431 84 177 59.0000 19.1% 28.1 25.7
13 H&K USP .45 Tactical 5,398 982 20,429 72 147 7.3500 18.2% 20.8 36.7
14 Ingram MAC-10 5,220 874 16,065 61 122 24.4000 16.7% 18.4 42.8
15 Galil 3,599 521 17,116 50 122 61.0000 14.5% 32.9 29.5
16 Glock 18 Select Fire 5,489 994 17,002 52 112 7.4667 18.1% 17.1 49.0
17 H&K MP5-Navy 4,859 861 14,271 41 99 9.9000 17.7% 16.6 49.1
18 Benelli/H&K M4 Super 90 XM1014 1,452 1,004 11,619 28 79 13.1667 69.1% 11.6 18.4
19 Steyr Aug 2,807 384 11,623 35 75 15.0000 13.7% 30.3 37.4
20 FN Five-Seven 1,310 362 9,723 36 68 22.6667 27.6% 26.9 19.3
21 Steyr Tactical Machine Pistol 3,734 537 9,692 35 65 65.0000 14.4% 18.0 57.4
22 H&K UMP45 2,083 279 5,557 16 35 17.5000 13.4% 19.9 59.5
23 Fusil Automatique 800 152 4,489 11 28 28.0000 19.0% 29.5 28.6
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 Left Middle Right sort-descending.gif
1 H&K UMP45 279 26.2% 53.8% 20.1%
2 Benelli/H&K M4 Super 90 XM1014 1,004 27.3% 56.2% 16.5%
3 Fusil Automatique 152 22.4% 61.2% 16.4%
4 Galil 521 28.4% 55.3% 16.3%
5 Steyr Aug 384 28.4% 55.5% 16.1%
6 FN P90 8,445 28.3% 56.2% 15.5%
7 Sig Sauer SG-552 Commando 5,305 28.6% 56.2% 15.2%
8 Ingram MAC-10 874 26.5% 59.0% 14.4%
9 FN Five-Seven 362 20.4% 65.2% 14.4%
10 H&K MP5-Navy 861 29.5% 56.2% 14.3%
11 Dual Beretta 96G Elite 869 24.9% 61.2% 13.9%
12 M249 PARA Light Machine Gun 7,933 27.7% 58.6% 13.7%
13 Sig Sauer P-228 4,852 29.3% 57.1% 13.6%
14 Kalashnikov AK-47 83,712 26.8% 59.6% 13.5%
15 H&K USP .45 Tactical 982 24.6% 62.0% 13.3%
16 Colt M4A1 Carbine 51,085 27.9% 58.9% 13.2%
17 Benelli M3 Super 90 Combat 7,326 29.1% 57.8% 13.2%
18 Glock 18 Select Fire 994 26.5% 60.8% 12.8%
19 Desert Eagle .50AE 17,287 25.9% 61.6% 12.5%
20 Steyr Tactical Machine Pistol 537 26.4% 63.9% 9.7%
21 Arctic Warfare Magnum (Police) 4,046 32.4% 58.0% 9.6%
22 Steyr Scout 15,256 26.4% 65.1% 8.6%
23 Bundeswehr Advanced Combat Knife 63 17.5% 76.2% 6.3%
24 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
25 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 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 / 364886 * 100, 2) AS kpercent,
			ROUND(headshots / 136170 * 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