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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 81.44%
Members: 29 active members (72 total)
Avg. Member Points: 11,344
Total Kills: 347,707
Total Deaths: 284,048
Avg. Kills: 11,990
Kills per Death: 1.22
Kills per Minute: 0.64
Total Connection Time: 377d 14:29:08h
Avg. Connection Time: 13d 00:29:58h
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 19.59% 31,030 2.19
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.10% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 7.17% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 9.36% 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 14,111 5d 02:29:48h 5,158 1.48% 4,117 1.25
7  Russian federationKAZANTIP elorank 13,147 49d 17:00:19h 41,879 12.04% 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 1.02% 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 5.02% 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 3.99% 13,411 1.03
14  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.76% 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 5.64% 21,693 0.90
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,875 3d 02:53:32h 2,974 0.86% 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 3.24% 10,732 1.05
20  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.65% 18,072 0.89


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 31,159 times 31,159
2 Pick up the Bomb 23,917 times 47,834
3 Round MVP 19,115 times 0
4 Drop the Bomb 12,543 times -25086
5 Double Kill (2 kills) 12,516 times 12,516
6 Plant the Bomb 5,455 times 54,550
7 Domination 4,042 times 20,210
8 Triple Kill (3 kills) 3,258 times 6,516
9 Revenge 1,540 times 4,620
10 Start Defusing the Bomb With a Defuse Kit 842 times 0
11 Defuse the Bomb 647 times 6,470
12 Domination (4 kills) 590 times 1,770
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 2,635 times -13175
2 Revenge 2,287 times -6861




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,625 times 25.29%
2 Counter-Terrorist 3,245 times 22.64%




  Weapon Usage *

Rank Weapon Points Modifier sort-descending.gif Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Bundeswehr Advanced Combat Knife 2.00 1,677 0.48% 3 0.00% 0.00
2 High Explosive Grenade 1.80 2,845 0.82% 0 0.00% 0.00
3 Steyr Tactical Machine Pistol 1.50 104 0.03% 53 0.04% 0.51
4 Sig Sauer P-228 1.50 1,017 0.29% 397 0.31% 0.39
5 Ingram MAC-10 1.50 180 0.05% 81 0.06% 0.45
6 FN Five-Seven 1.50 43 0.01% 23 0.02% 0.53
7 H&K USP .45 Tactical 1.40 134 0.04% 68 0.05% 0.51
8 Glock 18 Select Fire 1.40 106 0.03% 47 0.04% 0.44
9 Dual Beretta 96G Elite 1.40 144 0.04% 63 0.05% 0.44
10 H&K UMP45 1.20 38 0.01% 18 0.01% 0.47
11 FN P90 1.20 1,477 0.42% 634 0.50% 0.43
12 H&K MP5-Navy 1.20 100 0.03% 44 0.03% 0.44
13 Benelli M3 Super 90 Combat 1.20 910 0.26% 348 0.27% 0.38
14 M249 PARA Light Machine Gun 1.20 1,914 0.55% 1,021 0.80% 0.53
15 Desert Eagle .50AE 1.20 6,514 1.87% 3,248 2.56% 0.50
16 Benelli/H&K M4 Super 90 XM1014 1.10 80 0.02% 30 0.02% 0.38
17 Steyr Scout 1.10 5,280 1.52% 3,147 2.48% 0.60
18 Galil 1.10 67 0.02% 26 0.02% 0.39
19 Sig Sauer SG-552 Commando 1.00 1,197 0.34% 535 0.42% 0.45
20 Colt M4A1 Carbine 1.00 15,274 4.39% 6,880 5.41% 0.45
21 Fusil Automatique 1.00 34 0.01% 15 0.01% 0.44
22 Arctic Warfare Magnum (Police) 1.00 3,271 0.94% 547 0.43% 0.17
23 Steyr Aug 1.00 117 0.03% 48 0.04% 0.41
24 Kalashnikov AK-47 1.00 24,417 7.02% 11,998 9.44% 0.49
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-47 684,712 89,361 3,594,231 13,311 26,067 9.1980 13.1% 40.2 26.3
2 Colt M4A1 Carbine 484,362 65,466 2,101,888 6,877 15,263 11.7048 13.5% 32.1 31.7
3 Desert Eagle .50AE 68,828 18,921 975,620 3,571 6,888 4.8575 27.5% 51.6 10.0
4 Steyr Scout 37,341 13,140 1,242,073 3,196 5,364 2.8010 35.2% 94.5 7.0
5 Arctic Warfare Magnum (Police) 13,049 4,694 637,482 554 3,279 5.3058 36.0% 135.8 4.0
6 M249 PARA Light Machine Gun 84,255 7,172 291,022 1,135 2,063 15.0584 8.5% 40.6 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 79,082 5,891 174,702 548 1,212 37.8750 7.4% 29.7 65.2
9 Sig Sauer P-228 26,867 4,231 127,578 397 1,017 24.2143 15.7% 30.2 26.4
10 Benelli M3 Super 90 Combat 3,911 8,161 116,720 347 909 2.5534 208.7% 14.3 4.3
11 Bundeswehr Advanced Combat Knife 11,930 1,424 77,106 3 521 2.6050 11.9% 54.1 22.9
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 5,545 995 19,817 67 133 6.6500 17.9% 19.9 41.7
15 Steyr Aug 3,785 587 17,093 47 115 14.3750 15.5% 29.1 32.9
16 Steyr Tactical Machine Pistol 4,979 811 14,682 53 104 52.0000 16.3% 18.1 47.9
17 Glock 18 Select Fire 4,969 920 15,750 46 104 6.9333 18.5% 17.1 47.8
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 2,221 310 6,057 18 37 18.5000 14.0% 19.5 60.0
23 Fusil Automatique 789 154 4,579 14 32 32.0000 19.5% 29.7 24.7
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 89,361 26.6% 59.9% 13.5%
2 Colt M4A1 Carbine 65,466 27.2% 59.7% 13.1%
3 Desert Eagle .50AE 18,921 26.0% 61.3% 12.6%
4 Steyr Scout 13,140 26.6% 65.2% 8.2%
5 FN P90 8,327 28.8% 55.7% 15.6%
6 Benelli M3 Super 90 Combat 8,161 28.5% 58.3% 13.2%
7 M249 PARA Light Machine Gun 7,172 27.3% 59.5% 13.2%
8 Sig Sauer SG-552 Commando 5,891 28.0% 56.9% 15.1%
9 Arctic Warfare Magnum (Police) 4,694 32.1% 58.8% 9.1%
10 Sig Sauer P-228 4,231 29.6% 56.4% 14.0%
11 Ingram MAC-10 1,302 27.4% 59.6% 13.0%
12 H&K USP .45 Tactical 995 25.5% 62.0% 12.5%
13 Benelli/H&K M4 Super 90 XM1014 979 27.0% 56.1% 17.0%
14 Glock 18 Select Fire 920 26.4% 61.5% 12.1%
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 310 26.1% 53.9% 20.0%
20 Galil 303 31.4% 50.8% 17.8%
21 FN Five-Seven 274 20.4% 65.3% 14.2%
22 Fusil Automatique 154 21.4% 63.6% 14.9%
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 / 347707 * 100, 2) AS kpercent,
			ROUND(headshots / 127109 * 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