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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 76.80%
Members: 30 active members (74 total)
Avg. Member Points: 11,206
Total Kills: 368,760
Total Deaths: 307,494
Avg. Kills: 12,292
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 403d 04:22:12h
Avg. Connection Time: 13d 10:32:44h
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-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,965 46d 18:15:30h 68,825 18.66% 31,321 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.92% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.76% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.82% 16,883 1.93
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.13% 10,412 1.11
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.22% 12,180 1.58
7  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.16% 3,263 1.31
8  Russian federationKAZANTIP elorank 12,701 49d 21:12:27h 42,010 11.39% 38,583 1.09
9  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.84% 1,465 2.12
10  Russian federationИлья190RUS elorank 12,366 3d 13:24:10h 3,742 1.01% 3,210 1.17
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.76% 15,207 1.15
12  Russian federationStanislav752 elorank 10,708 14d 19:17:59h 12,254 3.32% 11,638 1.05
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.76% 13,411 1.03
14  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.37% 15,929 1.48
15  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,227 3d 09:51:28h 3,247 0.88% 3,410 0.95
16  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.21% 5,021 0.89
17  Russian federationShalfeYka elorank 9,799 1d 19:38:39h 1,586 0.43% 1,599 0.99
18  Russian federationYota ʚɞ elorank 9,712 2d 12:31:40h 1,472 0.40% 1,952 0.75
19  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.41% 22,106 0.90
20  Russian federation⇜Ṧ†êrvå⇝ elorank 9,404 6d 09:26:00h 4,662 1.26% 6,056 0.77


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 2,661 times 5,322
2 Touch a Hostage 4 times 0
3 Start Defusing the Bomb Without a Defuse Kit 59 times 0
4 Start Defusing the Bomb With a Defuse Kit 665 times 0
5 Round MVP 17,206 times 0
6 Revenge 1,705 times 5,115
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 52 times 208
9 Plant the Bomb 5,413 times 54,130
10 Pick up the Bomb 24,693 times 49,386
11 Mega Kill (6 kills) 2 times 10
12 Kill a Hostage 18 times -270
13 Headshot 28,057 times 28,057
14 Drop the Bomb 13,522 times -27044
15 Double Kill (2 kills) 10,726 times 10,726
16 Domination (4 kills) 477 times 1,431
17 Domination 3,366 times 16,830
18 Defuse the Bomb 454 times 4,540




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,764 times -13820
2 Revenge 1,996 times -5988




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,286 times 28.70%
2 Counter-Terrorist 2,324 times 20.30%




  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 Fusil Automatique 1.00 29 0.01% 12 0.01% 0.41
3 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
4 Steyr Tactical Machine Pistol 1.50 53 0.01% 30 0.02% 0.57
5 FN Five-Seven 1.50 57 0.02% 28 0.02% 0.49
6 Steyr Aug 1.00 73 0.02% 34 0.02% 0.47
7 Benelli/H&K M4 Super 90 XM1014 1.10 78 0.02% 28 0.02% 0.36
8 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
9 Glock 18 Select Fire 1.40 112 0.03% 53 0.04% 0.47
10 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
11 Galil 1.10 124 0.03% 52 0.04% 0.42
12 H&K USP .45 Tactical 1.40 150 0.04% 74 0.05% 0.49
13 Dual Beretta 96G Elite 1.40 194 0.05% 93 0.07% 0.48
14 Benelli M3 Super 90 Combat 1.20 791 0.21% 313 0.23% 0.40
15 Sig Sauer SG-552 Commando 1.00 1,018 0.28% 452 0.33% 0.44
16 Sig Sauer P-228 1.50 1,256 0.34% 515 0.38% 0.41
17 FN P90 1.20 1,460 0.40% 644 0.47% 0.44
18 Bundeswehr Advanced Combat Knife 2.00 1,480 0.40% 2 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 2,024 0.55% 1,009 0.74% 0.50
20 High Explosive Grenade 1.80 2,368 0.64% 0 0.00% 0.00
21 Arctic Warfare Magnum (Police) 1.00 2,697 0.73% 421 0.31% 0.16
22 Desert Eagle .50AE 1.20 5,824 1.58% 3,053 2.23% 0.52
23 Steyr Scout 1.10 6,107 1.66% 3,621 2.64% 0.59
24 Colt M4A1 Carbine 1.00 11,099 3.01% 4,894 3.57% 0.44
25 Kalashnikov AK-47 1.00 21,511 5.83% 10,698 7.81% 0.50




  Weapon Stats *

Rank Weapon Shots Hits sort-ascending.gif Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
3 Fusil Automatique 780 147 4,388 11 27 27.0000 18.8% 29.9 28.9
4 H&K UMP45 2,041 270 5,449 16 34 17.0000 13.2% 20.2 60.0
5 FN Five-Seven 1,330 371 9,929 37 69 34.5000 27.9% 26.8 19.3
6 Steyr Aug 2,722 373 11,319 34 73 14.6000 13.7% 30.3 37.3
7 Steyr Tactical Machine Pistol 3,391 452 8,135 30 53 53.0000 13.3% 18.0 64.0
8 Galil 3,693 530 17,452 52 124 62.0000 14.4% 32.9 29.8
9 H&K MP5-Navy 4,812 855 14,170 41 98 10.8889 17.8% 16.6 49.1
10 Ingram MAC-10 5,173 864 15,804 60 119 29.7500 16.7% 18.3 43.5
11 Dual Beretta 96G Elite 5,013 972 26,820 93 194 64.6667 19.4% 27.6 25.8
12 H&K USP .45 Tactical 5,358 982 20,597 73 149 7.8421 18.3% 21.0 36.0
13 Benelli/H&K M4 Super 90 XM1014 1,436 986 11,456 28 78 15.6000 68.7% 11.6 18.4
14 Glock 18 Select Fire 5,429 987 16,998 52 110 7.3333 18.2% 17.2 49.4
15 Bundeswehr Advanced Combat Knife 21,502 1,265 65,419 2 437 1.5949 5.9% 51.7 49.2
16 Arctic Warfare Magnum (Police) 11,366 3,877 514,496 428 2,705 5.4208 34.1% 132.7 4.2
17 Sig Sauer P-228 31,460 5,151 159,628 515 1,256 22.4286 16.4% 31.0 25.0
18 Sig Sauer SG-552 Commando 75,592 5,175 150,609 465 1,034 41.3600 6.8% 29.1 73.1
19 Benelli M3 Super 90 Combat 3,523 7,116 101,237 313 791 2.3683 202.0% 14.2 4.5
20 M249 PARA Light Machine Gun 106,515 7,984 306,598 1,123 2,173 13.7532 7.5% 38.4 49.0
21 FN P90 74,442 8,370 195,216 644 1,460 9.8649 11.2% 23.3 51.0
22 Steyr Scout 50,440 14,990 1,431,884 3,681 6,216 2.6317 29.7% 95.5 8.1
23 Desert Eagle .50AE 64,024 16,958 887,922 3,379 6,207 4.4084 26.5% 52.4 10.3
24 Colt M4A1 Carbine 409,379 49,681 1,559,599 4,902 11,110 10.7136 12.1% 31.4 36.8
25 Kalashnikov AK-47 636,118 79,659 3,194,311 12,018 23,179 9.8676 12.5% 40.1 27.4




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
2 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
3 Bundeswehr Advanced Combat Knife 62 24.2% 71.0% 4.8%
4 Fusil Automatique 147 21.1% 61.9% 17.0%
5 H&K UMP45 270 24.8% 55.2% 20.0%
6 FN Five-Seven 371 20.5% 65.8% 13.7%
7 Steyr Aug 373 28.2% 56.0% 15.8%
8 Steyr Tactical Machine Pistol 452 26.8% 62.8% 10.4%
9 Galil 530 28.1% 55.5% 16.4%
10 H&K MP5-Navy 855 29.4% 56.3% 14.4%
11 Ingram MAC-10 864 26.7% 58.9% 14.4%
12 Dual Beretta 96G Elite 972 25.8% 60.4% 13.8%
13 H&K USP .45 Tactical 982 23.7% 62.8% 13.4%
14 Benelli/H&K M4 Super 90 XM1014 986 27.2% 56.3% 16.5%
15 Glock 18 Select Fire 987 25.9% 61.5% 12.6%
16 Arctic Warfare Magnum (Police) 3,877 32.6% 57.7% 9.7%
17 Sig Sauer P-228 5,151 29.1% 57.1% 13.8%
18 Sig Sauer SG-552 Commando 5,175 28.9% 56.0% 15.2%
19 Benelli M3 Super 90 Combat 7,116 29.3% 57.6% 13.1%
20 M249 PARA Light Machine Gun 7,984 28.0% 57.9% 14.1%
21 FN P90 8,370 28.2% 56.1% 15.8%
22 Steyr Scout 14,965 26.3% 64.9% 8.8%
23 Desert Eagle .50AE 16,958 25.9% 61.5% 12.6%
24 Colt M4A1 Carbine 49,681 28.0% 58.8% 13.3%
25 Kalashnikov AK-47 79,659 26.8% 59.7% 13.5%


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 / 368760 * 100, 2) AS kpercent,
			ROUND(headshots / 136931 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map asc,
			kills asc