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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 80.40%
Members: 30 active members (73 total)
Avg. Member Points: 11,184
Total Kills: 348,363
Total Deaths: 285,010
Avg. Kills: 11,612
Kills per Death: 1.22
Kills per Minute: 0.64
Total Connection Time: 378d 21:08:39h
Avg. Connection Time: 12d 15:06:17h
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 34,741 46d 05:54:14h 68,110 19.55% 31,030 2.19
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.09% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 7.15% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 9.34% 16,883 1.93
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.32% 10,412 1.11
6  Ukrainegusenica elorank 14,110 5d 00:49:11h 5,104 1.47% 4,064 1.26
7  Russian federationKAZANTIP elorank 13,147 49d 17:00:19h 41,879 12.02% 38,440 1.09
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31
9  Russian federationубивашка 62 elorank 12,722 3d 00:41:18h 3,535 1.01% 2,601 1.36
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.89% 1,465 2.12
11  Russian federationAnapskiy elorank 12,093 19d 03:25:27h 17,470 5.01% 15,141 1.15
12  Russian federationИлья190RUS elorank 11,983 2d 23:51:07h 3,163 0.91% 2,736 1.16
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.98% 13,411 1.03
14  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.75% 15,929 1.48
15  Azerbaijan☣฿ Ř ₳ ฿ U Š☣ elorank 10,414 14d 14:16:01h 10,193 2.93% 10,639 0.96
16  Russian federationLoony elorank 9,947 29d 18:19:46h 19,614 5.63% 21,693 0.90
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,875 3d 02:53:32h 2,974 0.85% 3,112 0.96
18  Russian federationavpvovan elorank 9,802 5d 19:15:12h 4,409 1.27% 4,984 0.88
19  Russian federationStanislav752 elorank 9,397 13d 16:40:59h 11,249 3.23% 10,732 1.05
20  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.64% 18,072 0.89


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Mega Kill (6 kills) 5 times 25
3 Touch a Hostage 18 times 0
4 Kill a Hostage 21 times -315
5 Rampage (5 kills) 66 times 264
6 Start Defusing the Bomb Without a Defuse Kit 98 times 0
7 Domination (4 kills) 593 times 1,779
8 Defuse the Bomb 654 times 6,540
9 Start Defusing the Bomb With a Defuse Kit 857 times 0
10 Revenge 1,565 times 4,695
11 Triple Kill (3 kills) 3,278 times 6,556
12 Domination 4,059 times 20,295
13 Plant the Bomb 5,456 times 54,560
14 Double Kill (2 kills) 12,618 times 12,618
15 Drop the Bomb 12,709 times -25418
16 Round MVP 19,233 times 0
17 Pick up the Bomb 24,119 times 48,238
18 Headshot 31,354 times 31,354




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,685 times -13425
2 Revenge 2,296 times -6888




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,650 times 25.15%
2 Counter-Terrorist 3,293 times 22.69%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 24,434 7.01% 11,989 9.42% 0.49
2 Colt M4A1 Carbine 1.00 15,339 4.40% 6,895 5.42% 0.45
3 Desert Eagle .50AE 1.20 6,641 1.91% 3,280 2.58% 0.49
4 Steyr Scout 1.10 5,579 1.60% 3,288 2.58% 0.59
5 Arctic Warfare Magnum (Police) 1.00 3,350 0.96% 556 0.44% 0.17
6 High Explosive Grenade 1.80 2,880 0.83% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 1,914 0.55% 1,021 0.80% 0.53
8 Bundeswehr Advanced Combat Knife 2.00 1,690 0.49% 3 0.00% 0.00
9 FN P90 1.20 1,477 0.42% 634 0.50% 0.43
10 Sig Sauer SG-552 Commando 1.00 1,198 0.34% 535 0.42% 0.45
11 Sig Sauer P-228 1.50 1,019 0.29% 398 0.31% 0.39
12 Benelli M3 Super 90 Combat 1.20 913 0.26% 349 0.27% 0.38
13 Ingram MAC-10 1.50 180 0.05% 81 0.06% 0.45
14 Dual Beretta 96G Elite 1.40 144 0.04% 63 0.05% 0.44
15 H&K USP .45 Tactical 1.40 140 0.04% 70 0.05% 0.50
16 Steyr Aug 1.00 117 0.03% 48 0.04% 0.41
17 Glock 18 Select Fire 1.40 114 0.03% 48 0.04% 0.42
18 Steyr Tactical Machine Pistol 1.50 104 0.03% 53 0.04% 0.51
19 H&K MP5-Navy 1.20 100 0.03% 44 0.03% 0.44
20 Benelli/H&K M4 Super 90 XM1014 1.10 80 0.02% 30 0.02% 0.38
21 Galil 1.10 67 0.02% 26 0.02% 0.39
22 FN Five-Seven 1.50 43 0.01% 23 0.02% 0.53
23 H&K UMP45 1.20 39 0.01% 18 0.01% 0.46
24 Fusil Automatique 1.00 34 0.01% 15 0.01% 0.44
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-47 685,500 89,498 3,597,130 13,304 26,086 9.1434 13.1% 40.2 26.3
2 Colt M4A1 Carbine 486,150 65,782 2,110,475 6,892 15,328 11.6209 13.5% 32.1 31.7
3 Desert Eagle .50AE 70,443 19,314 992,534 3,603 7,015 4.8081 27.4% 51.4 10.0
4 Steyr Scout 40,584 13,974 1,315,405 3,337 5,663 2.7611 34.4% 94.1 7.2
5 Arctic Warfare Magnum (Police) 13,385 4,793 650,863 563 3,358 5.3471 35.8% 135.8 4.0
6 M249 PARA Light Machine Gun 84,263 7,172 291,022 1,135 2,063 15.0584 8.5% 40.6 40.8
7 FN P90 70,542 8,327 192,550 634 1,477 9.2893 11.8% 23.1 47.8
8 Sig Sauer SG-552 Commando 79,096 5,895 174,802 548 1,213 37.9063 7.5% 29.7 65.2
9 Sig Sauer P-228 26,893 4,236 127,778 398 1,019 24.2619 15.8% 30.2 26.4
10 Benelli M3 Super 90 Combat 3,929 8,193 117,097 348 912 2.5546 208.5% 14.3 4.3
11 Bundeswehr Advanced Combat Knife 17,653 1,440 78,285 3 529 2.4491 8.2% 54.4 33.4
12 Ingram MAC-10 7,119 1,302 23,465 80 177 35.4000 18.3% 18.0 40.2
13 Dual Beretta 96G Elite 3,820 707 19,710 63 144 48.0000 18.5% 27.9 26.5
14 H&K USP .45 Tactical 5,705 1,026 20,469 69 139 6.6190 18.0% 20.0 41.0
15 Steyr Aug 3,785 587 17,093 47 115 14.3750 15.5% 29.1 32.9
16 Glock 18 Select Fire 5,255 1,004 16,753 47 112 7.4667 19.1% 16.7 46.9
17 Steyr Tactical Machine Pistol 4,979 811 14,682 53 104 52.0000 16.3% 18.1 47.9
18 H&K MP5-Navy 4,910 865 14,486 43 98 9.8000 17.6% 16.7 50.1
19 Benelli/H&K M4 Super 90 XM1014 1,437 979 11,342 30 80 16.0000 68.1% 11.6 18.0
20 Galil 2,528 303 9,213 26 67 67.0000 12.0% 30.4 37.7
21 FN Five-Seven 1,139 274 7,264 31 54 18.0000 24.1% 26.5 21.1
22 H&K UMP45 2,228 313 6,107 18 38 19.0000 14.0% 19.5 58.6
23 Fusil Automatique 832 161 4,772 14 32 32.0000 19.4% 29.6 26.0
24 H&K G3/SG1 Sniper Rifle 38 10 1,742 6 7 7.0000 26.3% 174.2 5.4




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 89,498 26.7% 59.8% 13.5%
2 Colt M4A1 Carbine 65,782 27.3% 59.6% 13.1%
3 Desert Eagle .50AE 19,314 26.1% 61.2% 12.7%
4 Steyr Scout 13,974 26.6% 65.0% 8.4%
5 FN P90 8,327 28.8% 55.7% 15.6%
6 Benelli M3 Super 90 Combat 8,193 28.6% 58.2% 13.2%
7 M249 PARA Light Machine Gun 7,172 27.3% 59.5% 13.2%
8 Sig Sauer SG-552 Commando 5,895 28.0% 56.9% 15.1%
9 Arctic Warfare Magnum (Police) 4,793 32.1% 58.6% 9.3%
10 Sig Sauer P-228 4,236 29.6% 56.4% 14.0%
11 Ingram MAC-10 1,302 27.4% 59.6% 13.0%
12 H&K USP .45 Tactical 1,026 25.5% 61.9% 12.6%
13 Glock 18 Select Fire 1,004 26.7% 60.5% 12.8%
14 Benelli/H&K M4 Super 90 XM1014 979 27.0% 56.1% 17.0%
15 H&K MP5-Navy 865 29.0% 56.3% 14.7%
16 Steyr Tactical Machine Pistol 811 25.2% 64.1% 10.7%
17 Dual Beretta 96G Elite 707 24.9% 60.3% 14.9%
18 Steyr Aug 587 27.4% 56.2% 16.4%
19 H&K UMP45 313 25.9% 54.0% 20.1%
20 Galil 303 31.4% 50.8% 17.8%
21 FN Five-Seven 274 20.4% 65.3% 14.2%
22 Fusil Automatique 161 23.0% 61.5% 15.5%
23 Bundeswehr Advanced Combat Knife 67 17.9% 77.6% 4.5%
24 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 / 348363 * 100, 2) AS kpercent,
			ROUND(headshots / 127302 * 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