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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 76.62%
Members: 29 active members (74 total)
Avg. Member Points: 11,814
Total Kills: 373,449
Total Deaths: 310,136
Avg. Kills: 12,878
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 406d 05:05:05h
Avg. Connection Time: 14d 00:10:31h
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 34,028 46d 20:02:00h 68,946 18.46% 31,366 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.89% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.67% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.71% 16,883 1.93
5  Russian federationубивашка 62 elorank 15,866 4d 11:36:01h 5,258 1.41% 3,684 1.43
6  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.09% 10,412 1.11
7  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.15% 12,180 1.58
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.15% 3,263 1.31
9  Russian federationKAZANTIP elorank 12,701 49d 21:12:27h 42,010 11.25% 38,583 1.09
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.83% 1,465 2.12
11  Russian federationИлья190RUS elorank 12,528 3d 16:10:37h 3,856 1.03% 3,327 1.16
12  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.70% 15,207 1.15
13  Russian federationStanislav752 elorank 10,930 15d 04:20:23h 12,589 3.37% 11,925 1.06
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.71% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.29% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,227 3d 09:51:28h 3,247 0.87% 3,410 0.95
17  Russian federationShalfeYka elorank 10,028 1d 21:52:04h 1,659 0.44% 1,677 0.99
18  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.19% 5,021 0.89
19  Russian federationBISON elorank 9,774 7d 19:10:20h 5,144 1.38% 7,757 0.66
20  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.34% 22,106 0.90


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-ascending.gif
1 Drop the Bomb 13,214 times -26428
2 Kill a Hostage 18 times -270
3 Round MVP 17,824 times 0
4 Start Defusing the Bomb With a Defuse Kit 710 times 0
5 Start Defusing the Bomb Without a Defuse Kit 71 times 0
6 Touch a Hostage 4 times 0
7 Rescue a Hostage 1 times 5
8 Mega Kill (6 kills) 4 times 20
9 Rampage (5 kills) 51 times 204
10 Domination (4 kills) 490 times 1,470
11 Revenge 1,710 times 5,130
12 Defuse the Bomb 521 times 5,210
13 Triple Kill (3 kills) 2,737 times 5,474
14 Double Kill (2 kills) 11,142 times 11,142
15 Domination 3,519 times 17,595
16 Headshot 29,266 times 29,266
17 Pick up the Bomb 24,200 times 48,400
18 Plant the Bomb 5,285 times 52,850




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,751 times -13755
2 Revenge 2,094 times -6282




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,281 times 28.24%
2 Counter-Terrorist 2,456 times 21.14%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 21,273 5.70% 10,700 7.67% 0.50
2 Colt M4A1 Carbine 1.00 12,173 3.26% 5,497 3.94% 0.45
3 Desert Eagle .50AE 1.20 6,440 1.72% 3,598 2.58% 0.56
4 Steyr Scout 1.10 5,813 1.56% 3,612 2.59% 0.62
5 Arctic Warfare Magnum (Police) 1.00 2,611 0.70% 435 0.31% 0.17
6 High Explosive Grenade 1.80 2,583 0.69% 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 1,651 0.44% 2 0.00% 0.00
9 FN P90 1.20 1,476 0.40% 655 0.47% 0.44
10 Sig Sauer P-228 1.50 1,264 0.34% 526 0.38% 0.42
11 Sig Sauer SG-552 Commando 1.00 1,007 0.27% 450 0.32% 0.45
12 Benelli M3 Super 90 Combat 1.20 780 0.21% 314 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 1.40 136 0.04% 69 0.05% 0.51
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 1.40 104 0.03% 51 0.04% 0.49
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 34 0.01% 16 0.01% 0.47
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) 10,888 3,782 508,436 442 2,619 5.2068 34.7% 134.4 4.2
3 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
4 Steyr Scout 46,897 14,204 1,360,602 3,669 5,919 2.5155 30.3% 95.8 7.9
5 Desert Eagle .50AE 71,151 18,738 990,166 3,922 6,821 4.5779 26.3% 52.8 10.4
6 Bundeswehr Advanced Combat Knife 12,813 1,286 66,162 2 438 1.7312 10.0% 51.4 29.3
7 Kalashnikov AK-47 641,970 79,271 3,175,260 12,019 22,939 9.4986 12.3% 40.1 28.0
8 M249 PARA Light Machine Gun 109,372 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 432,609 53,929 1,707,758 5,501 12,177 10.8048 12.5% 31.7 35.5
11 Sig Sauer P-228 32,168 5,147 160,210 526 1,264 22.9818 16.0% 31.1 25.4
12 Fusil Automatique 1,038 185 5,704 17 38 38.0000 17.8% 30.8 27.3
13 Steyr Aug 3,150 449 13,317 41 86 12.2857 14.3% 29.7 36.6
14 Sig Sauer SG-552 Commando 75,174 5,159 149,919 463 1,023 39.3462 6.9% 29.1 73.5
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 74,204 8,399 196,304 655 1,476 9.9730 11.3% 23.4 50.3
18 H&K USP .45 Tactical 5,255 924 19,352 68 135 10.3846 17.6% 20.9 38.9
19 H&K UMP45 2,045 267 5,399 16 33 16.5000 13.1% 20.2 62.0
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 5,116 892 15,694 50 102 6.8000 17.4% 17.6 50.2
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 3,433 7,029 100,278 314 780 2.3423 204.7% 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 79,271 26.6% 59.9% 13.5%
2 Colt M4A1 Carbine 53,929 27.7% 59.3% 13.0%
3 Desert Eagle .50AE 18,738 25.7% 62.5% 11.9%
4 Steyr Scout 14,179 26.3% 65.2% 8.6%
5 FN P90 8,399 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 7,029 29.0% 58.0% 13.0%
8 Sig Sauer SG-552 Commando 5,159 28.8% 56.1% 15.1%
9 Sig Sauer P-228 5,147 29.1% 57.1% 13.8%
10 Arctic Warfare Magnum (Police) 3,782 32.4% 57.9% 9.8%
11 Dual Beretta 96G Elite 1,099 24.9% 61.5% 13.6%
12 Benelli/H&K M4 Super 90 XM1014 976 27.5% 56.0% 16.5%
13 H&K USP .45 Tactical 924 24.8% 62.8% 12.4%
14 Glock 18 Select Fire 892 25.9% 62.6% 11.5%
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 267 25.1% 55.1% 19.9%
22 Fusil Automatique 185 18.9% 65.9% 15.1%
23 Bundeswehr Advanced Combat Knife 58 20.7% 72.4% 6.9%
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 / 373449 * 100, 2) AS kpercent,
			ROUND(headshots / 139518 * 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