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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 70.93%
Members: 29 active members (75 total)
Avg. Member Points: 11,755
Total Kills: 350,067
Total Deaths: 301,490
Avg. Kills: 12,071
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 391d 13:49:19h
Avg. Connection Time: 13d 12:03:46h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name sort-ascending.gif Rank Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.64% 14,654 0.63
2  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.01% 15,207 1.15
3  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.71% 8,932 0.67
4  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.50% 12,180 1.58
5  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.04% 38,713 1.09
6  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.69% 7,910 0.75
7  Russian federationLoony elorank 9,689 30d 15:24:42h 20,123 5.75% 22,358 0.90
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.22% 3,263 1.31
9  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.61% 18,072 0.89
10  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.30% 10,412 1.11
11  Russian federationShalfeYka elorank 11,192 2d 13:32:28h 2,258 0.65% 2,271 0.99
12  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,462 3d 15:53:43h 3,520 1.01% 3,669 0.96
13  Russian federationSprut elorank 9,375 2d 05:42:28h 1,789 0.51% 2,289 0.78
14  Russian federationStanislav752 elorank 10,301 16d 14:17:20h 13,532 3.87% 13,196 1.03
15  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.28% 5,052 0.89
16  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.12% 24,192 1.03
17  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.30% 775 1.38
18  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.23% 754 1.08
19  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 3.97% 13,456 1.03
20  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.14% 471 1.02


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 24,681 times 24,681
2 Pick up the Bomb 21,455 times 42,910
3 Round MVP 15,839 times 0
4 Drop the Bomb 12,133 times -24266
5 Double Kill (2 kills) 10,036 times 10,036
6 Plant the Bomb 4,209 times 42,090
7 Domination 3,063 times 15,315
8 Triple Kill (3 kills) 2,351 times 4,702
9 Revenge 1,579 times 4,737
10 Start Defusing the Bomb With a Defuse Kit 649 times 0
11 Defuse the Bomb 478 times 4,780
12 Domination (4 kills) 398 times 1,194
13 Start Defusing the Bomb Without a Defuse Kit 57 times 0
14 Rampage (5 kills) 44 times 176
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 4 times 20
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,522 times -12610
2 Revenge 1,796 times -5388




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,924 times 27.82%
2 Counter-Terrorist 2,290 times 21.79%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-ascending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 H&K UMP45 1.20 33 0.01% 16 0.01% 0.48
3 Fusil Automatique 1.00 43 0.01% 20 0.02% 0.47
4 Steyr Tactical Machine Pistol 1.50 54 0.02% 26 0.02% 0.48
5 Benelli/H&K M4 Super 90 XM1014 1.10 61 0.02% 21 0.02% 0.34
6 FN Five-Seven 1.50 62 0.02% 31 0.02% 0.50
7 Steyr Aug 1.00 67 0.02% 33 0.02% 0.49
8 Ingram MAC-10 1.50 78 0.02% 35 0.03% 0.45
9 Glock 18 Select Fire 1.40 95 0.03% 44 0.03% 0.46
10 H&K MP5-Navy 1.20 106 0.03% 46 0.03% 0.43
11 Galil 1.10 113 0.03% 47 0.04% 0.42
12 H&K USP .45 Tactical 1.40 128 0.04% 67 0.05% 0.52
13 Dual Beretta 96G Elite 1.40 217 0.06% 101 0.08% 0.47
14 Benelli M3 Super 90 Combat 1.20 555 0.16% 239 0.18% 0.43
15 Sig Sauer SG-552 Commando 1.00 855 0.24% 371 0.28% 0.43
16 Sig Sauer P-228 1.50 1,299 0.37% 557 0.42% 0.43
17 Bundeswehr Advanced Combat Knife 2.00 1,584 0.45% 2 0.00% 0.00
18 FN P90 1.20 1,673 0.48% 736 0.55% 0.44
19 M249 PARA Light Machine Gun 1.20 2,195 0.63% 1,051 0.79% 0.48
20 Arctic Warfare Magnum (Police) 1.00 2,210 0.63% 372 0.28% 0.17
21 High Explosive Grenade 1.80 2,339 0.67% 0 0.00% 0.00
22 Steyr Scout 1.10 5,713 1.63% 3,597 2.71% 0.63
23 Desert Eagle .50AE 1.20 6,236 1.78% 3,500 2.63% 0.56
24 Colt M4A1 Carbine 1.00 10,967 3.13% 5,011 3.77% 0.46
25 Kalashnikov AK-47 1.00 17,126 4.89% 8,773 6.60% 0.51




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0
2 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
3 H&K UMP45 2,049 260 5,206 16 32 16.0000 12.7% 20.0 64.0
4 Fusil Automatique 1,161 192 6,104 19 41 41.0000 16.5% 31.8 28.3
5 Steyr Tactical Machine Pistol 3,144 421 7,532 25 53 53.0000 13.4% 17.9 59.3
6 Benelli/H&K M4 Super 90 XM1014 1,150 747 8,781 21 61 12.2000 65.0% 11.8 18.9
7 FN Five-Seven 1,354 335 9,070 32 63 31.5000 24.7% 27.1 21.5
8 Steyr Aug 2,726 364 10,917 34 68 8.5000 13.4% 30.0 40.1
9 Ingram MAC-10 2,663 478 8,849 34 75 75.0000 17.9% 18.5 35.5
10 Glock 18 Select Fire 4,988 841 14,361 43 93 6.2000 16.9% 17.1 53.6
11 H&K MP5-Navy 5,041 915 15,355 45 104 10.4000 18.2% 16.8 48.5
12 Galil 3,035 461 15,563 47 113 56.5000 15.2% 33.8 26.9
13 H&K USP .45 Tactical 4,898 911 18,557 66 127 9.7692 18.6% 20.4 38.6
14 Dual Beretta 96G Elite 5,418 1,075 30,055 101 217 72.3333 19.8% 28.0 25.0
15 Bundeswehr Advanced Combat Knife 11,338 1,077 56,634 2 375 1.7045 9.5% 52.6 30.2
16 Benelli M3 Super 90 Combat 2,628 5,234 75,125 239 555 1.9474 199.2% 14.4 4.7
17 Sig Sauer SG-552 Commando 63,533 4,289 123,679 371 856 37.2174 6.8% 28.8 74.2
18 Sig Sauer P-228 35,133 5,542 169,950 557 1,299 21.2951 15.8% 30.7 27.0
19 FN P90 81,452 9,448 220,893 736 1,673 10.9346 11.6% 23.4 48.7
20 M249 PARA Light Machine Gun 114,793 8,321 308,862 1,052 2,196 12.6207 7.2% 37.1 52.3
21 Arctic Warfare Magnum (Police) 9,257 3,195 428,227 372 2,209 4.9308 34.5% 134.0 4.2
22 Steyr Scout 46,576 13,845 1,311,183 3,590 5,707 2.3180 29.7% 94.7 8.2
23 Desert Eagle .50AE 68,081 17,438 904,559 3,497 6,232 4.2051 25.6% 51.9 10.9
24 Colt M4A1 Carbine 377,619 48,326 1,539,927 5,008 10,964 11.4566 12.8% 31.9 34.4
25 Kalashnikov AK-47 553,310 61,595 2,409,025 8,765 17,115 8.8817 11.1% 39.1 32.3




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 0.0%
2 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
3 Bundeswehr Advanced Combat Knife 51 23.5% 66.7% 9.8%
4 Fusil Automatique 192 23.4% 62.5% 14.1%
5 H&K UMP45 260 25.0% 54.2% 20.8%
6 FN Five-Seven 335 23.6% 62.7% 13.7%
7 Steyr Aug 364 28.0% 55.8% 16.2%
8 Steyr Tactical Machine Pistol 421 25.4% 63.7% 10.9%
9 Galil 461 28.9% 56.4% 14.8%
10 Ingram MAC-10 478 25.5% 60.5% 14.0%
11 Benelli/H&K M4 Super 90 XM1014 747 26.8% 56.1% 17.1%
12 Glock 18 Select Fire 841 26.8% 61.7% 11.5%
13 H&K USP .45 Tactical 911 25.1% 61.8% 13.1%
14 H&K MP5-Navy 915 28.3% 57.0% 14.6%
15 Dual Beretta 96G Elite 1,075 25.0% 61.3% 13.7%
16 Arctic Warfare Magnum (Police) 3,195 32.8% 57.3% 10.0%
17 Sig Sauer SG-552 Commando 4,289 29.3% 55.6% 15.1%
18 Benelli M3 Super 90 Combat 5,234 30.0% 57.0% 12.9%
19 Sig Sauer P-228 5,542 28.8% 57.6% 13.6%
20 M249 PARA Light Machine Gun 8,321 28.5% 56.5% 15.0%
21 FN P90 9,448 28.1% 56.2% 15.8%
22 Steyr Scout 13,820 26.5% 64.7% 8.8%
23 Desert Eagle .50AE 17,438 26.5% 61.4% 12.1%
24 Colt M4A1 Carbine 48,326 27.8% 59.2% 13.0%
25 Kalashnikov AK-47 61,595 27.3% 58.7% 14.0%


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 / 350067 * 100, 2) AS kpercent,
			ROUND(headshots / 132901 * 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