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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.60%
Members: 28 active members (74 total)
Avg. Member Points: 11,676
Total Kills: 343,405
Total Deaths: 295,419
Avg. Kills: 12,264
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 384d 11:34:42h
Avg. Connection Time: 13d 17:33:22h
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 20.10% 31,407 2.20
2  Russian federation⇜Ṧ†êrvå⇝ elorank 9,405 6d 14:16:27h 4,762 1.39% 6,234 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 17,691 5d 10:24:19h 6,503 1.89% 4,370 1.49
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 12,448 3d 18:35:26h 3,931 1.14% 3,427 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 4.70% 18,072 0.89


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 4,750 times 47,500
2 Pick up the Bomb 22,729 times 45,458
3 Headshot 26,825 times 26,825
4 Domination 3,338 times 16,690
5 Double Kill (2 kills) 10,736 times 10,736
6 Triple Kill (3 kills) 2,581 times 5,162
7 Defuse the Bomb 506 times 5,060
8 Revenge 1,653 times 4,959
9 Domination (4 kills) 451 times 1,353
10 Rampage (5 kills) 48 times 192
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 67 times 0
15 Start Defusing the Bomb With a Defuse Kit 702 times 0
16 Round MVP 16,978 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 12,645 times -25290




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,666 times -13330
2 Revenge 1,952 times -5856




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 3,146 times 28.04%
2 Counter-Terrorist 2,406 times 21.44%




  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 1,684 0.49% 2 0.00% 0.00
2 High Explosive Grenade 1.80 2,494 0.73% 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 1.50 121 0.04% 60 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 1.40 224 0.07% 102 0.08% 0.46
10 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
11 FN P90 1.20 1,519 0.44% 671 0.52% 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 2,159 0.63% 1,056 0.81% 0.49
15 Desert Eagle .50AE 1.20 6,398 1.86% 3,578 2.76% 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 5,782 1.68% 3,635 2.80% 0.63
18 Galil 1.10 120 0.03% 50 0.04% 0.42
19 Sig Sauer SG-552 Commando 1.00 980 0.29% 437 0.34% 0.45
20 Colt M4A1 Carbine 1.00 11,639 3.39% 5,249 4.05% 0.45
21 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
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 19,614 5.71% 9,932 7.66% 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-47 596,460 71,035 2,812,237 10,360 20,142 9.1555 11.9% 39.6 29.6
2 Colt M4A1 Carbine 416,330 51,469 1,633,864 5,246 11,636 11.0085 12.4% 31.7 35.8
3 Desert Eagle .50AE 69,284 17,936 936,185 3,612 6,437 4.3730 25.9% 52.2 10.8
4 Steyr Scout 46,356 13,940 1,333,862 3,628 5,776 2.4097 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 112,382 8,308 313,634 1,108 2,217 13.3554 7.4% 37.8 50.7
7 FN P90 76,011 8,618 201,538 671 1,519 9.9281 11.3% 23.4 50.0
8 Sig Sauer P-228 34,062 5,258 162,300 534 1,266 23.8868 15.4% 30.9 26.9
9 Sig Sauer SG-552 Commando 74,592 5,062 146,497 450 996 38.3077 6.8% 28.9 74.9
10 Benelli M3 Super 90 Combat 2,836 5,730 82,840 263 629 2.1037 202.0% 14.5 4.5
11 Bundeswehr Advanced Combat Knife 12,261 1,192 62,245 2 416 1.7479 9.7% 52.2 29.5
12 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
13 H&K USP .45 Tactical 5,149 929 19,232 67 133 10.2308 18.0% 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 5,055 854 15,560 59 118 29.5000 16.9% 18.2 42.8
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 5,043 882 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 1,360 334 8,810 29 60 30.0000 24.6% 26.4 22.7
21 Steyr Tactical Machine Pistol 4,000 503 8,982 29 59 59.0000 12.6% 17.9 67.8
22 Fusil Automatique 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
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 71,035 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 51,469 27.8% 59.1% 13.0%
3 Desert Eagle .50AE 17,936 26.2% 61.8% 12.0%
4 Steyr Scout 13,915 26.4% 64.9% 8.7%
5 FN P90 8,618 28.0% 56.3% 15.7%
6 M249 PARA Light Machine Gun 8,308 28.2% 57.4% 14.4%
7 Benelli M3 Super 90 Combat 5,730 29.5% 57.5% 13.0%
8 Sig Sauer P-228 5,258 28.8% 57.4% 13.8%
9 Sig Sauer SG-552 Commando 5,062 28.9% 55.9% 15.2%
10 Arctic Warfare Magnum (Police) 3,468 32.7% 57.5% 9.8%
11 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
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-10 854 26.7% 58.4% 14.9%
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 214 22.0% 63.6% 14.5%
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 / 343405 * 100, 2) AS kpercent,
			ROUND(headshots / 129658 * 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