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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 80.00%
Members: 33 active members (75 total)
Avg. Member Points: 11,395
Total Kills: 382,221
Total Deaths: 310,127
Avg. Kills: 11,582
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 407d 12:06:56h
Avg. Connection Time: 12d 08:22:01h
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-ascending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federationILYA MYAU elorank 1,038 0d 00:16:59h 9 0.00% 11 0.82
2  Russian federation!? elorank 5,148 0d 08:24:38h 351 0.09% 345 1.02
3  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.31% 11,872 0.42
4  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.55% 7,910 0.75
5  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.21% 754 1.08
6  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.28% 775 1.38
7  Russian federation-=(ROMBIK)=-=(DDR)=- elorank 7,763 4d 20:28:50h 5,225 1.37% 4,319 1.21
8  Russian federationBISON elorank 8,204 7d 05:58:21h 4,755 1.24% 7,245 0.66
9  Russian federationSprut elorank 8,728 2d 01:10:55h 1,630 0.43% 2,123 0.77
10  Russian federation⇜Ṧ†êrvå⇝ elorank 9,117 6d 06:19:49h 4,551 1.19% 5,928 0.77
11  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.23% 18,072 0.89
12  Russian federationХЗкак elorank 9,277 5d 06:29:14h 5,800 1.52% 4,395 1.32
13  Russian federationYota ʚɞ elorank 9,406 2d 10:22:16h 1,413 0.37% 1,877 0.75
14  Russian federationShalfeYka elorank 9,407 1d 15:54:53h 1,429 0.37% 1,451 0.98
15  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.22% 22,106 0.90
16  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.16% 5,021 0.89
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,962 3d 07:47:20h 3,154 0.83% 3,318 0.95
18  Russian federationStanislav752 elorank 9,978 14d 09:04:04h 11,899 3.11% 11,276 1.06
19  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.15% 15,929 1.48
20  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.63% 13,411 1.03


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 5,823 times 58,230
2 Pick up the Bomb 25,837 times 51,674
3 Headshot 31,048 times 31,048
4 Domination 3,762 times 18,810
5 Double Kill (2 kills) 11,862 times 11,862
6 Triple Kill (3 kills) 3,011 times 6,022
7 Defuse the Bomb 558 times 5,580
8 Revenge 1,787 times 5,361
9 Domination (4 kills) 546 times 1,638
10 Rampage (5 kills) 58 times 232
11 Mega Kill (6 kills) 4 times 20
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 77 times 0
15 Start Defusing the Bomb With a Defuse Kit 766 times 0
16 Round MVP 18,959 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 14,012 times -28024




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,918 times -14590
2 Revenge 2,205 times -6615




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,500 times 28.09%
2 Counter-Terrorist 2,631 times 21.11%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,223 6.08% 11,673 8.07% 0.50
2 Colt M4A1 Carbine 1.00 12,669 3.31% 5,683 3.93% 0.45
3 Desert Eagle .50AE 1.20 6,848 1.79% 3,718 2.57% 0.54
4 Steyr Scout 1.10 6,685 1.75% 4,037 2.79% 0.60
5 Arctic Warfare Magnum (Police) 1.00 3,050 0.80% 500 0.35% 0.16
6 High Explosive Grenade 1.80 2,799 0.73% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,106 0.55% 1,079 0.75% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,668 0.44% 2 0.00% 0.00
9 FN P90 1.20 1,419 0.37% 628 0.43% 0.44
10 Sig Sauer P-228 1.50 1,219 0.32% 491 0.34% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,063 0.28% 475 0.33% 0.45
12 Benelli M3 Super 90 Combat 1.20 824 0.22% 329 0.23% 0.40
13 Dual Beretta 96G Elite 1.40 179 0.05% 85 0.06% 0.47
14 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
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 1.40 111 0.03% 51 0.04% 0.46
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 89 0.02% 42 0.03% 0.47
20 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 29 0.02% 0.36
21 Steyr Tactical Machine Pistol 1.50 57 0.01% 33 0.02% 0.58
22 FN Five-Seven 1.50 56 0.01% 26 0.02% 0.46
23 Fusil Automatique 1.00 45 0.01% 21 0.01% 0.47
24 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
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-47 680,868 85,766 3,441,882 12,991 24,888 9.4273 12.6% 40.1 27.4
2 Colt M4A1 Carbine 443,903 55,853 1,771,244 5,687 12,673 10.7764 12.6% 31.7 35.0
3 Desert Eagle .50AE 74,554 19,798 1,042,660 4,042 7,229 4.6310 26.6% 52.7 10.3
4 Steyr Scout 53,979 16,477 1,573,968 4,093 6,790 2.5857 30.5% 95.5 7.9
5 Arctic Warfare Magnum (Police) 12,415 4,342 587,548 507 3,058 5.3649 35.0% 135.3 4.1
6 M249 PARA Light Machine Gun 104,705 8,184 318,635 1,193 2,255 14.1824 7.8% 38.9 46.4
7 FN P90 72,733 8,169 190,551 628 1,419 9.3355 11.2% 23.3 51.3
8 Sig Sauer P-228 30,175 4,960 153,500 491 1,219 24.8776 16.4% 30.9 24.8
9 Sig Sauer SG-552 Commando 76,762 5,396 157,838 488 1,079 38.5357 7.0% 29.3 71.1
10 Benelli M3 Super 90 Combat 3,664 7,391 105,751 329 824 2.3953 201.7% 14.3 4.4
11 Bundeswehr Advanced Combat Knife 21,910 1,359 71,248 2 474 1.6809 6.2% 52.4 46.2
12 Dual Beretta 96G Elite 4,563 871 24,753 85 179 59.6667 19.1% 28.4 25.5
13 H&K USP .45 Tactical 5,771 1,035 21,277 72 147 7.7368 17.9% 20.6 39.3
14 Galil 3,722 534 17,592 52 125 62.5000 14.3% 32.9 29.8
15 Ingram MAC-10 5,185 864 15,804 60 119 29.7500 16.7% 18.3 43.6
16 Glock 18 Select Fire 5,561 988 16,764 50 109 7.2667 17.8% 17.0 51.0
17 H&K MP5-Navy 4,977 886 14,719 43 100 11.1111 17.8% 16.6 49.8
18 Steyr Aug 3,256 466 13,841 42 89 11.1250 14.3% 29.7 36.6
19 Benelli/H&K M4 Super 90 XM1014 1,465 1,007 11,716 29 81 16.2000 68.7% 11.6 18.1
20 FN Five-Seven 1,343 365 9,741 35 68 34.0000 27.2% 26.7 19.8
21 Steyr Tactical Machine Pistol 4,093 487 8,783 33 57 57.0000 11.9% 18.0 71.8
22 Fusil Automatique 1,129 211 6,476 20 43 43.0000 18.7% 30.7 26.3
23 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
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 sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 85,766 26.8% 59.8% 13.5%
2 Colt M4A1 Carbine 55,853 27.7% 59.4% 13.0%
3 Desert Eagle .50AE 19,798 25.7% 62.2% 12.1%
4 Steyr Scout 16,452 26.5% 65.0% 8.6%
5 M249 PARA Light Machine Gun 8,184 27.7% 58.6% 13.6%
6 FN P90 8,169 28.1% 56.3% 15.5%
7 Benelli M3 Super 90 Combat 7,391 29.0% 57.9% 13.1%
8 Sig Sauer SG-552 Commando 5,396 28.6% 56.3% 15.2%
9 Sig Sauer P-228 4,960 29.2% 57.2% 13.6%
10 Arctic Warfare Magnum (Police) 4,342 32.4% 57.7% 9.9%
11 H&K USP .45 Tactical 1,035 24.3% 63.0% 12.7%
12 Benelli/H&K M4 Super 90 XM1014 1,007 27.3% 56.3% 16.4%
13 Glock 18 Select Fire 988 26.8% 60.7% 12.4%
14 H&K MP5-Navy 886 28.6% 56.5% 14.9%
15 Dual Beretta 96G Elite 871 24.5% 61.7% 13.9%
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 487 25.5% 62.8% 11.7%
19 Steyr Aug 466 28.3% 56.7% 15.0%
20 FN Five-Seven 365 21.1% 64.9% 14.0%
21 H&K UMP45 270 24.8% 55.2% 20.0%
22 Fusil Automatique 211 20.4% 64.5% 15.2%
23 Bundeswehr Advanced Combat Knife 67 22.4% 71.6% 6.0%
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 / 382221 * 100, 2) AS kpercent,
			ROUND(headshots / 144656 * 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