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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 82.13%
Members: 30 active members (73 total)
Avg. Member Points: 11,191
Total Kills: 348,580
Total Deaths: 285,183
Avg. Kills: 11,619
Kills per Death: 1.22
Kills per Minute: 0.64
Total Connection Time: 379d 01:56:21h
Avg. Connection Time: 12d 15:15:52h
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 19.54% 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 9.33% 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 14,213 5d 04:01:58h 5,249 1.51% 4,165 1.26
7  Russian federationKAZANTIP elorank 13,147 49d 17:00:19h 41,879 12.01% 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 11,973 3d 00:33:39h 3,204 0.92% 2,768 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 6.74% 15,929 1.48
15  Azerbaijan☣฿ Ř ₳ ฿ U Š☣ elorank 10,414 14d 14:16:01h 10,193 2.92% 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 1.26% 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 4.63% 18,072 0.89


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 31,476 times 31,476
2 Pick up the Bomb 24,270 times 48,540
3 Round MVP 19,332 times 0
4 Drop the Bomb 12,778 times -25556
5 Double Kill (2 kills) 12,660 times 12,660
6 Plant the Bomb 5,489 times 54,890
7 Domination 4,072 times 20,360
8 Triple Kill (3 kills) 3,282 times 6,564
9 Revenge 1,569 times 4,707
10 Start Defusing the Bomb With a Defuse Kit 858 times 0
11 Defuse the Bomb 655 times 6,550
12 Domination (4 kills) 594 times 1,782
13 Start Defusing the Bomb Without a Defuse Kit 98 times 0
14 Rampage (5 kills) 66 times 264
15 Kill a Hostage 21 times -315
16 Touch a Hostage 18 times 0
17 Mega Kill (6 kills) 5 times 25
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,691 times -13455
2 Revenge 2,308 times -6924




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,674 times 25.20%
2 Counter-Terrorist 3,303 times 22.65%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 24,567 7.05% 12,079 9.48% 0.49
2 Colt M4A1 Carbine 1.00 15,344 4.40% 6,898 5.41% 0.45
3 Desert Eagle .50AE 1.20 6,659 1.91% 3,287 2.58% 0.49
4 Steyr Scout 1.10 5,602 1.61% 3,301 2.59% 0.59
5 Arctic Warfare Magnum (Police) 1.00 3,350 0.96% 556 0.44% 0.17
6 High Explosive Grenade 1.80 2,890 0.83% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 1,919 0.55% 1,022 0.80% 0.53
8 Bundeswehr Advanced Combat Knife 2.00 1,693 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 1,023 0.29% 399 0.31% 0.39
12 Benelli M3 Super 90 Combat 1.20 919 0.26% 352 0.28% 0.38
13 Ingram MAC-10 1.50 180 0.05% 81 0.06% 0.45
14 Dual Beretta 96G Elite 1.40 152 0.04% 67 0.05% 0.44
15 H&K USP .45 Tactical 1.40 142 0.04% 70 0.05% 0.49
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-47 687,555 89,887 3,614,892 13,394 26,219 9.1515 13.1% 40.2 26.2
2 Colt M4A1 Carbine 486,245 65,814 2,111,434 6,895 15,333 11.6159 13.5% 32.1 31.7
3 Desert Eagle .50AE 70,660 19,379 995,475 3,610 7,033 4.8040 27.4% 51.4 10.0
4 Steyr Scout 40,752 14,016 1,320,486 3,350 5,686 2.7642 34.4% 94.2 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 84,401 7,196 291,775 1,136 2,068 15.0949 8.5% 40.5 40.8
7 FN P90 70,545 8,327 192,550 634 1,477 9.2893 11.8% 23.1 47.8
8 Sig Sauer SG-552 Commando 79,099 5,896 174,813 548 1,213 37.9063 7.5% 29.6 65.2
9 Sig Sauer P-228 26,962 4,257 128,393 399 1,023 23.7907 15.8% 30.2 26.4
10 Benelli M3 Super 90 Combat 3,953 8,247 117,903 351 918 2.5429 208.6% 14.3 4.3
11 Bundeswehr Advanced Combat Knife 17,841 1,445 78,508 3 531 2.4583 8.1% 54.3 33.6
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 3,933 741 20,865 67 152 50.6667 18.8% 28.2 25.9
14 H&K USP .45 Tactical 5,801 1,043 20,845 69 141 6.7143 18.0% 20.0 41.1
15 Steyr Aug 3,785 587 17,093 47 115 14.3750 15.5% 29.1 32.9
16 Glock 18 Select Fire 5,312 1,005 16,837 47 112 7.4667 18.9% 16.8 47.4
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 Left sort-descending.gif Middle Right
1 Arctic Warfare Magnum (Police) 4,793 32.1% 58.6% 9.3%
2 Galil 303 31.4% 50.8% 17.8%
3 Sig Sauer P-228 4,257 29.6% 56.4% 14.1%
4 H&K MP5-Navy 865 29.0% 56.3% 14.7%
5 FN P90 8,327 28.8% 55.7% 15.6%
6 Benelli M3 Super 90 Combat 8,247 28.6% 58.2% 13.2%
7 Sig Sauer SG-552 Commando 5,896 28.0% 56.9% 15.1%
8 Ingram MAC-10 1,302 27.4% 59.6% 13.0%
9 Steyr Aug 587 27.4% 56.2% 16.4%
10 Colt M4A1 Carbine 65,814 27.3% 59.6% 13.1%
11 M249 PARA Light Machine Gun 7,196 27.3% 59.5% 13.2%
12 Benelli/H&K M4 Super 90 XM1014 979 27.0% 56.1% 17.0%
13 Glock 18 Select Fire 1,005 26.7% 60.5% 12.8%
14 Kalashnikov AK-47 89,887 26.7% 59.9% 13.5%
15 Steyr Scout 14,016 26.6% 65.0% 8.4%
16 Desert Eagle .50AE 19,379 26.1% 61.2% 12.7%
17 H&K UMP45 313 25.9% 54.0% 20.1%
18 H&K USP .45 Tactical 1,043 25.7% 61.7% 12.6%
19 Steyr Tactical Machine Pistol 811 25.2% 64.1% 10.7%
20 Dual Beretta 96G Elite 741 24.7% 60.9% 14.4%
21 Fusil Automatique 161 23.0% 61.5% 15.5%
22 FN Five-Seven 274 20.4% 65.3% 14.2%
23 Bundeswehr Advanced Combat Knife 69 20.3% 75.4% 4.3%
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 / 348580 * 100, 2) AS kpercent,
			ROUND(headshots / 127424 * 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