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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 79.40%
Members: 30 active members (73 total)
Avg. Member Points: 11,381
Total Kills: 363,642
Total Deaths: 295,445
Avg. Kills: 12,121
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 390d 09:03:19h
Avg. Connection Time: 13d 00:18:06h
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 34,390 46d 13:13:09h 68,524 18.84% 31,203 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.96% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.85% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.95% 16,883 1.93
5  Ukrainegusenica elorank 15,251 6d 20:41:13h 6,975 1.92% 5,448 1.28
6  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.29% 12,150 1.58
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.18% 10,412 1.11
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.18% 3,263 1.31
9  Russian federationKAZANTIP elorank 12,812 49d 19:52:15h 41,958 11.54% 38,533 1.09
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.85% 1,465 2.12
11  Russian federationИлья190RUS elorank 11,949 3d 07:27:28h 3,472 0.95% 3,010 1.15
12  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.83% 15,207 1.15
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.81% 13,411 1.03
14  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.46% 15,929 1.48
15  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,822 3d 06:39:50h 3,117 0.86% 3,278 0.95
16  Russian federationavpvovan elorank 9,783 5d 19:58:36h 4,434 1.22% 5,009 0.89
17  Russian federationStanislav752 elorank 9,667 13d 23:58:17h 11,542 3.17% 10,967 1.05
18  Russian federationLoony elorank 9,420 30d 07:20:33h 19,937 5.48% 22,106 0.90
19  Russian federationShalfeYka elorank 9,274 1d 14:17:13h 1,386 0.38% 1,397 0.99
20  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.44% 18,072 0.89


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) 2 times 10
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 59 times 236
6 Start Defusing the Bomb Without a Defuse Kit 59 times 0
7 Defuse the Bomb 483 times 4,830
8 Domination (4 kills) 523 times 1,569
9 Start Defusing the Bomb With a Defuse Kit 689 times 0
10 Revenge 1,721 times 5,163
11 Triple Kill (3 kills) 2,862 times 5,724
12 Domination 3,619 times 18,095
13 Plant the Bomb 5,733 times 57,330
14 Double Kill (2 kills) 11,187 times 11,187
15 Drop the Bomb 13,649 times -27298
16 Round MVP 17,791 times 0
17 Pick up the Bomb 25,377 times 50,754
18 Headshot 29,042 times 29,042




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,786 times -13930
2 Revenge 2,124 times -6372




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,323 times 28.72%
2 Counter-Terrorist 2,344 times 20.26%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 22,954 6.31% 11,421 8.43% 0.50
2 Colt M4A1 Carbine 1.00 11,704 3.22% 5,155 3.80% 0.44
3 Steyr Scout 1.10 6,153 1.69% 3,617 2.67% 0.59
4 Desert Eagle .50AE 1.20 5,750 1.58% 2,979 2.20% 0.52
5 Arctic Warfare Magnum (Police) 1.00 2,911 0.80% 460 0.34% 0.16
6 High Explosive Grenade 1.80 2,469 0.68% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,092 0.58% 1,074 0.79% 0.51
8 FN P90 1.20 1,565 0.43% 665 0.49% 0.42
9 Bundeswehr Advanced Combat Knife 2.00 1,491 0.41% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,159 0.32% 464 0.34% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,043 0.29% 467 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 825 0.23% 322 0.24% 0.39
13 Dual Beretta 96G Elite 1.40 171 0.05% 80 0.06% 0.47
14 H&K USP .45 Tactical 1.40 147 0.04% 72 0.05% 0.49
15 Ingram MAC-10 1.50 127 0.03% 63 0.05% 0.50
16 Glock 18 Select Fire 1.40 110 0.03% 50 0.04% 0.45
17 Galil 1.10 110 0.03% 47 0.03% 0.43
18 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
19 Benelli/H&K M4 Super 90 XM1014 1.10 77 0.02% 27 0.02% 0.35
20 Steyr Aug 1.00 77 0.02% 36 0.03% 0.47
21 Steyr Tactical Machine Pistol 1.50 66 0.02% 36 0.03% 0.55
22 FN Five-Seven 1.50 44 0.01% 23 0.02% 0.52
23 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
24 Fusil Automatique 1.00 30 0.01% 12 0.01% 0.40
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 Kills per Death sort-descending.gif Accuracy Damage per Hit Shots per Kill
1 Steyr Tactical Machine Pistol 3,785 550 9,941 36 66 66.0000 14.5% 18.1 57.3
2 Dual Beretta 96G Elite 4,367 839 23,564 80 171 57.0000 19.2% 28.1 25.5
3 Galil 3,130 467 15,459 47 110 55.0000 14.9% 33.1 28.5
4 Sig Sauer SG-552 Commando 76,294 5,280 154,413 480 1,059 42.3600 6.9% 29.2 72.0
5 Fusil Automatique 800 152 4,489 11 28 28.0000 19.0% 29.5 28.6
6 Ingram MAC-10 5,353 903 16,563 62 124 24.8000 16.9% 18.3 43.2
7 Sig Sauer P-228 28,987 4,751 146,307 464 1,159 23.6531 16.4% 30.8 25.0
8 FN Five-Seven 1,123 297 7,685 32 56 18.6667 26.4% 25.9 20.1
9 H&K UMP45 2,083 279 5,557 16 35 17.5000 13.4% 19.9 59.5
10 Steyr Aug 2,868 391 11,842 36 77 15.4000 13.6% 30.3 37.2
11 M249 PARA Light Machine Gun 102,851 8,094 317,202 1,188 2,241 14.3654 7.9% 39.2 45.9
12 Benelli/H&K M4 Super 90 XM1014 1,428 965 11,273 27 77 12.8333 67.6% 11.7 18.5
13 Colt M4A1 Carbine 418,196 51,832 1,638,432 5,163 11,715 11.0207 12.4% 31.6 35.7
14 FN P90 77,569 8,844 204,934 665 1,565 9.8428 11.4% 23.2 49.6
15 H&K MP5-Navy 4,836 858 14,211 41 98 9.8000 17.7% 16.6 49.3
16 Kalashnikov AK-47 671,686 84,832 3,399,187 12,740 24,621 9.7432 12.6% 40.1 27.3
17 H&K USP .45 Tactical 5,286 966 20,255 71 146 7.3000 18.3% 21.0 36.2
18 Glock 18 Select Fire 5,164 957 16,278 49 108 7.2000 18.5% 17.0 47.8
19 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
20 Arctic Warfare Magnum (Police) 11,941 4,145 556,783 467 2,919 5.4765 34.7% 134.3 4.1
21 Desert Eagle .50AE 62,805 16,748 878,334 3,305 6,133 4.4571 26.7% 52.4 10.2
22 Steyr Scout 48,454 15,125 1,446,575 3,670 6,245 2.6473 31.2% 95.6 7.8
23 Benelli M3 Super 90 Combat 3,672 7,457 106,125 322 825 2.3571 203.1% 14.2 4.5
24 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
25 Bundeswehr Advanced Combat Knife 20,004 1,393 73,040 2 486 1.7737 7.0% 52.4 41.2




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 84,832 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 51,832 27.8% 58.9% 13.2%
3 Desert Eagle .50AE 16,748 26.1% 61.4% 12.5%
4 Steyr Scout 15,100 26.6% 64.9% 8.5%
5 FN P90 8,844 28.6% 56.0% 15.5%
6 M249 PARA Light Machine Gun 8,094 27.6% 58.8% 13.6%
7 Benelli M3 Super 90 Combat 7,457 29.1% 57.8% 13.1%
8 Sig Sauer SG-552 Commando 5,280 28.6% 56.2% 15.2%
9 Sig Sauer P-228 4,751 29.2% 57.1% 13.7%
10 Arctic Warfare Magnum (Police) 4,145 32.2% 58.3% 9.5%
11 H&K USP .45 Tactical 966 25.4% 61.5% 13.1%
12 Benelli/H&K M4 Super 90 XM1014 965 27.3% 55.9% 16.9%
13 Glock 18 Select Fire 957 26.1% 61.2% 12.6%
14 Ingram MAC-10 903 26.6% 59.2% 14.2%
15 H&K MP5-Navy 858 30.0% 55.8% 14.2%
16 Dual Beretta 96G Elite 839 24.9% 61.1% 13.9%
17 Steyr Tactical Machine Pistol 550 25.8% 64.4% 9.8%
18 Galil 467 27.2% 56.7% 16.1%
19 Steyr Aug 391 28.4% 55.5% 16.1%
20 FN Five-Seven 297 20.5% 66.0% 13.5%
21 H&K UMP45 279 26.2% 53.8% 20.1%
22 Fusil Automatique 152 22.4% 61.2% 16.4%
23 Bundeswehr Advanced Combat Knife 62 17.7% 75.8% 6.5%
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 / 363642 * 100, 2) AS kpercent,
			ROUND(headshots / 135539 * 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