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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.57%
Members: 28 active members (74 total)
Avg. Member Points: 11,653
Total Kills: 343,177
Total Deaths: 295,211
Avg. Kills: 12,256
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 384d 06:07:06h
Avg. Connection Time: 13d 17:21:40h
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 33,787 46d 21:12:43h 69,011 20.11% 31,407 2.20
2  Russian federation⇜Ṧ†êrvå⇝ elorank 9,360 6d 14:02:54h 4,753 1.38% 6,226 0.76
3  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.46% 11,872 0.42
4  Russian federationубивашка 62 elorank 17,334 5d 08:09:23h 6,366 1.86% 4,301 1.48
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.85% 15,929 1.48
6  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.91% 1,465 2.12
7  Russian federationИлья190RUS elorank 12,364 3d 17:51:46h 3,907 1.14% 3,401 1.15
8  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.14% 5,572 1.93
9  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.14% 471 1.02
10  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 4.04% 13,411 1.03
11  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.24% 754 1.08
12  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.31% 775 1.38
13  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.26% 24,192 1.03
14  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.30% 5,036 0.88
15  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.77% 12,310 1.05
16  Russian federationSprut elorank 9,306 2d 04:35:36h 1,743 0.51% 2,249 0.78
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,963 3d 12:02:46h 3,320 0.97% 3,500 0.95
18  Russian federationShalfeYka elorank 9,929 2d 00:54:08h 1,783 0.52% 1,789 1.00
19  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.37% 10,412 1.11
20  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.71% 18,072 0.89


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 2,569 times 5,138
2 Touch a Hostage 4 times 0
3 Start Defusing the Bomb Without a Defuse Kit 67 times 0
4 Start Defusing the Bomb With a Defuse Kit 696 times 0
5 Round MVP 16,904 times 0
6 Revenge 1,645 times 4,935
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 48 times 192
9 Plant the Bomb 4,731 times 47,310
10 Pick up the Bomb 22,646 times 45,292
11 Mega Kill (6 kills) 4 times 20
12 Kill a Hostage 18 times -270
13 Headshot 26,712 times 26,712
14 Drop the Bomb 12,597 times -25194
15 Double Kill (2 kills) 10,693 times 10,693
16 Domination (4 kills) 450 times 1,350
17 Domination 3,322 times 16,610
18 Defuse the Bomb 500 times 5,000




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 1,942 times -5826
2 Domination 2,655 times -13275




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,139 times 28.04%
2 Counter-Terrorist 2,399 times 21.43%




  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 0.49% 2 0.00% 0.00
2 High Explosive Grenade 1.80 2,487 0.72% 0 0.00% 0.00
3 Steyr Tactical Machine Pistol 1.50 60 0.02% 30 0.02% 0.50
4 Sig Sauer P-228 1.50 1,266 0.37% 534 0.41% 0.42
5 Ingram MAC-10 1.50 118 0.03% 59 0.05% 0.50
6 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
7 H&K USP .45 Tactical 1.40 134 0.04% 68 0.05% 0.51
8 Glock 18 Select Fire 1.40 102 0.03% 50 0.04% 0.49
9 Dual Beretta 96G Elite 1.40 223 0.06% 102 0.08% 0.46
10 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
11 FN P90 1.20 1,503 0.44% 667 0.51% 0.44
12 H&K MP5-Navy 1.20 105 0.03% 45 0.03% 0.43
13 Benelli M3 Super 90 Combat 1.20 629 0.18% 263 0.20% 0.42
14 M249 PARA Light Machine Gun 1.20 2,148 0.63% 1,050 0.81% 0.49
15 Desert Eagle .50AE 1.20 6,357 1.85% 3,557 2.75% 0.56
16 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 28 0.02% 0.36
17 Steyr Scout 1.10 5,749 1.68% 3,609 2.79% 0.63
18 Galil 1.10 120 0.03% 50 0.04% 0.42
19 Sig Sauer SG-552 Commando 1.00 978 0.28% 437 0.34% 0.45
20 Colt M4A1 Carbine 1.00 11,584 3.38% 5,220 4.03% 0.45
21 Fusil Automatique 1.00 45 0.01% 22 0.02% 0.49
22 Arctic Warfare Magnum (Police) 1.00 2,397 0.70% 394 0.30% 0.16
23 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
24 Kalashnikov AK-47 1.00 19,563 5.70% 9,907 7.65% 0.51
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-47 595,291 70,869 2,805,619 10,335 20,091 9.1531 11.9% 39.6 29.6
2 Colt M4A1 Carbine 415,097 51,250 1,626,011 5,217 11,581 10.9773 12.3% 31.7 35.8
3 Desert Eagle .50AE 68,803 17,837 930,895 3,591 6,397 4.3695 25.9% 52.2 10.8
4 Steyr Scout 46,066 13,848 1,325,506 3,602 5,743 2.4120 30.1% 95.7 8.0
5 Arctic Warfare Magnum (Police) 10,030 3,468 465,437 401 2,405 5.0525 34.6% 134.2 4.2
6 M249 PARA Light Machine Gun 111,804 8,256 311,847 1,102 2,206 13.2892 7.4% 37.8 50.7
7 FN P90 75,337 8,529 199,615 667 1,503 10.1554 11.3% 23.4 50.1
8 Sig Sauer P-228 34,055 5,258 162,300 534 1,266 23.8868 15.4% 30.9 26.9
9 Sig Sauer SG-552 Commando 74,554 5,047 146,166 450 994 38.2308 6.8% 29.0 75.0
10 Benelli M3 Super 90 Combat 2,831 5,717 82,695 263 629 2.1178 201.9% 14.5 4.5
11 Bundeswehr Advanced Combat Knife 12,252 1,187 61,972 2 415 1.7585 9.7% 52.2 29.5
12 Dual Beretta 96G Elite 5,620 1,113 30,820 102 223 74.3333 19.8% 27.7 25.2
13 H&K USP .45 Tactical 5,146 929 19,232 67 133 10.2308 18.1% 20.7 38.7
14 Galil 3,367 498 16,652 50 120 60.0000 14.8% 33.4 28.1
15 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
16 H&K MP5-Navy 4,946 901 15,000 44 103 11.4444 18.2% 16.6 48.0
17 Glock 18 Select Fire 5,039 882 15,577 49 100 6.6667 17.5% 17.7 50.4
18 Steyr Aug 3,030 429 12,653 40 81 11.5714 14.2% 29.5 37.4
19 Benelli/H&K M4 Super 90 XM1014 1,356 947 11,129 28 77 15.4000 69.8% 11.8 17.6
20 FN Five-Seven 1,289 334 8,810 29 60 30.0000 25.9% 26.4 21.5
21 Steyr Tactical Machine Pistol 4,000 503 8,982 29 59 59.0000 12.6% 17.9 67.8
22 Fusil Automatique 1,149 203 6,396 21 43 43.0000 17.7% 31.5 26.7
23 H&K UMP45 2,045 267 5,399 16 33 16.5000 13.1% 20.2 62.0
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 70,869 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 51,250 27.8% 59.1% 13.0%
3 Desert Eagle .50AE 17,837 26.2% 61.8% 12.0%
4 Steyr Scout 13,823 26.4% 64.9% 8.7%
5 FN P90 8,529 28.0% 56.4% 15.6%
6 M249 PARA Light Machine Gun 8,256 28.2% 57.4% 14.4%
7 Benelli M3 Super 90 Combat 5,717 29.4% 57.6% 13.0%
8 Sig Sauer P-228 5,258 28.8% 57.4% 13.8%
9 Sig Sauer SG-552 Commando 5,047 28.8% 55.9% 15.2%
10 Arctic Warfare Magnum (Police) 3,468 32.7% 57.5% 9.8%
11 Dual Beretta 96G Elite 1,113 24.9% 61.7% 13.4%
12 Benelli/H&K M4 Super 90 XM1014 947 27.0% 56.5% 16.5%
13 H&K USP .45 Tactical 929 25.1% 62.5% 12.4%
14 H&K MP5-Navy 901 28.6% 56.6% 14.8%
15 Glock 18 Select Fire 882 26.1% 62.6% 11.3%
16 Ingram MAC-10 826 26.6% 59.0% 14.4%
17 Steyr Tactical Machine Pistol 503 25.8% 63.0% 11.1%
18 Galil 498 28.7% 55.6% 15.7%
19 Steyr Aug 429 28.0% 56.6% 15.4%
20 FN Five-Seven 334 23.7% 62.0% 14.4%
21 H&K UMP45 267 25.1% 55.1% 19.9%
22 Fusil Automatique 203 22.2% 64.5% 13.3%
23 Bundeswehr Advanced Combat Knife 55 23.6% 69.1% 7.3%
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 / 343177 * 100, 2) AS kpercent,
			ROUND(headshots / 129545 * 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