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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 71.96%
Members: 29 active members (75 total)
Avg. Member Points: 11,707
Total Kills: 348,728
Total Deaths: 300,200
Avg. Kills: 12,025
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 390d 05:12:09h
Avg. Connection Time: 13d 10:56:16h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name sort-descending.gif Rank Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,656 46d 22:33:01h 69,099 19.81% 31,444 2.20
2  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.37% 6,243 0.76
3  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.43% 11,872 0.42
4  Russian federationубивашка 62 elorank 17,312 6d 01:12:44h 7,245 2.08% 4,875 1.49
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.74% 15,929 1.48
6  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.89% 1,465 2.12
7  Russian federationИлья190RUS elorank 13,038 3d 22:13:44h 4,105 1.18% 3,569 1.15
8  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.09% 5,572 1.93
9  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.84% 2,272 1.28
10  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.14% 471 1.02
11  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.98% 13,411 1.03
12  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.23% 754 1.08
13  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.31% 775 1.38
14  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.15% 24,192 1.03
15  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.28% 5,052 0.89
16  Russian federationStanislav752 elorank 10,669 16d 05:21:53h 13,213 3.79% 12,859 1.03
17  Russian federationSprut elorank 9,466 2d 05:32:07h 1,786 0.51% 2,281 0.78
18  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,194 3d 14:42:30h 3,449 0.99% 3,630 0.95
19  Russian federationShalfeYka elorank 10,648 2d 07:56:31h 2,047 0.59% 2,040 1.00
20  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.31% 10,412 1.11


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Mega Kill (6 kills) 4 times 20
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 44 times 176
6 Start Defusing the Bomb Without a Defuse Kit 61 times 0
7 Domination (4 kills) 426 times 1,278
8 Defuse the Bomb 477 times 4,770
9 Start Defusing the Bomb With a Defuse Kit 646 times 0
10 Revenge 1,630 times 4,890
11 Triple Kill (3 kills) 2,464 times 4,928
12 Domination 3,183 times 15,915
13 Plant the Bomb 4,445 times 44,450
14 Double Kill (2 kills) 10,405 times 10,405
15 Drop the Bomb 12,315 times -24630
16 Round MVP 16,300 times 0
17 Pick up the Bomb 22,025 times 44,050
18 Headshot 25,485 times 25,485




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 1,864 times -5592
2 Domination 2,616 times -13080




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,020 times 28.00%
2 Counter-Terrorist 2,334 times 21.64%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 18,059 5.18% 9,193 6.95% 0.51
2 Colt M4A1 Carbine 1.00 11,379 3.26% 5,177 3.91% 0.45
3 Desert Eagle .50AE 1.20 6,391 1.83% 3,563 2.69% 0.56
4 Steyr Scout 1.10 5,851 1.68% 3,680 2.78% 0.63
5 High Explosive Grenade 1.80 2,439 0.70% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,332 0.67% 386 0.29% 0.17
7 M249 PARA Light Machine Gun 1.20 2,195 0.63% 1,053 0.80% 0.48
8 FN P90 1.20 1,609 0.46% 720 0.54% 0.45
9 Bundeswehr Advanced Combat Knife 2.00 1,601 0.46% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,248 0.36% 529 0.40% 0.42
11 Sig Sauer SG-552 Commando 1.00 962 0.28% 428 0.32% 0.44
12 Benelli M3 Super 90 Combat 1.20 603 0.17% 262 0.20% 0.43
13 Dual Beretta 96G Elite 1.40 221 0.06% 102 0.08% 0.46
14 H&K USP .45 Tactical 1.40 130 0.04% 68 0.05% 0.52
15 Galil 1.10 117 0.03% 47 0.04% 0.40
16 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
17 Ingram MAC-10 1.50 99 0.03% 45 0.03% 0.45
18 Glock 18 Select Fire 1.40 98 0.03% 45 0.03% 0.46
19 Steyr Aug 1.00 71 0.02% 35 0.03% 0.49
20 Benelli/H&K M4 Super 90 XM1014 1.10 66 0.02% 24 0.02% 0.36
21 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
22 Steyr Tactical Machine Pistol 1.50 55 0.02% 27 0.02% 0.49
23 Fusil Automatique 1.00 43 0.01% 20 0.02% 0.47
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 sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 568,143 64,665 2,531,234 9,185 18,046 8.9736 11.4% 39.1 31.5
2 Colt M4A1 Carbine 391,619 50,189 1,598,007 5,174 11,376 11.2300 12.8% 31.8 34.4
3 Desert Eagle .50AE 69,655 17,868 925,435 3,560 6,387 4.2467 25.7% 51.8 10.9
4 Steyr Scout 47,152 14,105 1,343,912 3,673 5,845 2.3857 29.9% 95.3 8.1
5 Arctic Warfare Magnum (Police) 9,708 3,363 450,007 386 2,331 4.9914 34.6% 133.8 4.2
6 M249 PARA Light Machine Gun 115,245 8,381 310,403 1,054 2,196 12.4773 7.3% 37.0 52.5
7 FN P90 78,890 9,095 213,685 720 1,609 10.3806 11.5% 23.5 49.0
8 Sig Sauer P-228 33,518 5,260 161,783 529 1,248 23.1111 15.7% 30.8 26.9
9 Sig Sauer SG-552 Commando 73,907 4,940 141,619 428 963 40.1250 6.7% 28.7 76.7
10 Benelli M3 Super 90 Combat 2,792 5,590 80,702 262 603 2.0167 200.2% 14.4 4.6
11 Bundeswehr Advanced Combat Knife 11,686 1,113 57,804 2 384 1.6842 9.5% 51.9 30.4
12 Dual Beretta 96G Elite 5,596 1,099 30,532 102 221 73.6667 19.6% 27.8 25.3
13 H&K USP .45 Tactical 5,107 918 18,793 67 129 9.9231 18.0% 20.5 39.6
14 Galil 3,354 489 16,087 47 117 58.5000 14.6% 32.9 28.7
15 H&K MP5-Navy 4,963 908 15,225 45 103 11.4444 18.3% 16.8 48.2
16 Ingram MAC-10 3,499 654 12,215 44 96 48.0000 18.7% 18.7 36.4
17 Glock 18 Select Fire 5,110 871 14,861 44 96 6.4000 17.0% 17.1 53.2
18 Steyr Aug 2,820 390 11,516 36 72 10.2857 13.8% 29.5 39.2
19 Benelli/H&K M4 Super 90 XM1014 1,248 807 9,511 24 66 13.2000 64.7% 11.8 18.9
20 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
21 Steyr Tactical Machine Pistol 3,274 447 7,866 26 54 54.0000 13.7% 17.6 60.6
22 Fusil Automatique 1,123 192 6,107 19 41 41.0000 17.1% 31.8 27.4
23 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
24 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
25 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0




  Weapon Targets *

Rank Weapon Hits Left Middle Right sort-descending.gif
1 H&K UMP45 269 26.4% 53.5% 20.1%
2 Benelli/H&K M4 Super 90 XM1014 807 27.3% 56.0% 16.7%
3 FN P90 9,095 27.9% 56.5% 15.7%
4 Steyr Aug 390 27.9% 56.4% 15.6%
5 Galil 489 28.8% 55.6% 15.5%
6 Sig Sauer SG-552 Commando 4,940 29.0% 55.6% 15.3%
7 M249 PARA Light Machine Gun 8,381 28.6% 56.7% 14.7%
8 H&K MP5-Navy 908 28.3% 57.0% 14.6%
9 Ingram MAC-10 654 26.8% 58.9% 14.4%
10 FN Five-Seven 344 23.3% 62.5% 14.2%
11 Fusil Automatique 192 23.4% 62.5% 14.1%
12 Kalashnikov AK-47 64,665 27.3% 58.7% 14.0%
13 Sig Sauer P-228 5,260 28.6% 57.7% 13.6%
14 Dual Beretta 96G Elite 1,099 25.1% 61.2% 13.6%
15 H&K USP .45 Tactical 918 25.1% 61.8% 13.2%
16 Colt M4A1 Carbine 50,189 27.8% 59.2% 13.1%
17 Benelli M3 Super 90 Combat 5,590 29.7% 57.5% 12.8%
18 Desert Eagle .50AE 17,868 26.3% 61.5% 12.2%
19 Glock 18 Select Fire 871 26.6% 62.0% 11.4%
20 Steyr Tactical Machine Pistol 447 25.1% 63.8% 11.2%
21 Arctic Warfare Magnum (Police) 3,363 32.6% 57.5% 9.9%
22 Steyr Scout 14,080 26.4% 64.8% 8.8%
23 Bundeswehr Advanced Combat Knife 50 24.0% 68.0% 8.0%
24 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
25 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 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 / 348728 * 100, 2) AS kpercent,
			ROUND(headshots / 132244 * 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