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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 78.93%
Members: 30 active members (73 total)
Avg. Member Points: 11,399
Total Kills: 363,934
Total Deaths: 295,743
Avg. Kills: 12,131
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 390d 17:28:46h
Avg. Connection Time: 13d 00:34:57h
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 18.83% 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 8.94% 16,883 1.93
5  Ukrainegusenica elorank 15,473 7d 01:17:45h 7,153 1.97% 5,600 1.28
6  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.28% 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 12,736 49d 20:24:08h 41,967 11.53% 38,555 1.09
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.85% 1,465 2.12
11  Russian federationИлья190RUS elorank 12,002 3d 08:15:39h 3,512 0.97% 3,038 1.16
12  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.82% 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 9,653 14d 00:21:59h 11,556 3.18% 10,991 1.05
18  Russian federationLoony elorank 9,420 30d 07:20:54h 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 484 times 4,840
8 Domination (4 kills) 524 times 1,572
9 Start Defusing the Bomb With a Defuse Kit 691 times 0
10 Revenge 1,724 times 5,172
11 Triple Kill (3 kills) 2,870 times 5,740
12 Domination 3,628 times 18,140
13 Plant the Bomb 5,755 times 57,550
14 Double Kill (2 kills) 11,228 times 11,228
15 Drop the Bomb 13,702 times -27404
16 Round MVP 17,862 times 0
17 Pick up the Bomb 25,481 times 50,962
18 Headshot 29,160 times 29,160




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,795 times -13975
2 Revenge 2,130 times -6390




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,340 times 28.74%
2 Counter-Terrorist 2,352 times 20.24%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,004 6.32% 11,449 8.44% 0.50
2 Colt M4A1 Carbine 1.00 11,708 3.22% 5,156 3.80% 0.44
3 Steyr Scout 1.10 6,226 1.71% 3,664 2.70% 0.59
4 Desert Eagle .50AE 1.20 5,817 1.60% 3,019 2.22% 0.52
5 Arctic Warfare Magnum (Police) 1.00 2,912 0.80% 460 0.34% 0.16
6 High Explosive Grenade 1.80 2,479 0.68% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,075 0.57% 1,068 0.79% 0.51
8 FN P90 1.20 1,566 0.43% 665 0.49% 0.42
9 Bundeswehr Advanced Combat Knife 2.00 1,496 0.41% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,158 0.32% 463 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 1.20 828 0.23% 325 0.24% 0.39
13 Dual Beretta 96G Elite 1.40 177 0.05% 84 0.06% 0.47
14 H&K USP .45 Tactical 1.40 147 0.04% 72 0.05% 0.49
15 Ingram MAC-10 1.50 126 0.03% 62 0.05% 0.49
16 Galil 1.10 116 0.03% 49 0.04% 0.42
17 Glock 18 Select Fire 1.40 113 0.03% 52 0.04% 0.46
18 H&K MP5-Navy 1.20 101 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 68 0.02% 37 0.03% 0.54
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 3,819 559 10,184 37 68 68.0000 14.6% 18.2 56.2
2 Dual Beretta 96G Elite 4,544 869 24,431 84 177 59.0000 19.1% 28.1 25.7
3 Galil 3,284 491 16,077 49 116 58.0000 15.0% 32.7 28.3
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 5,281 891 16,344 61 123 24.6000 16.9% 18.3 42.9
7 Sig Sauer P-228 28,910 4,732 145,719 463 1,158 24.1250 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 102,326 8,022 314,602 1,182 2,224 14.3484 7.8% 39.2 46.0
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 418,250 51,842 1,638,626 5,164 11,719 11.0557 12.4% 31.6 35.7
14 H&K MP5-Navy 4,874 867 14,367 41 99 9.9000 17.8% 16.6 49.2
15 FN P90 77,619 8,862 205,289 665 1,566 9.8491 11.4% 23.2 49.6
16 Kalashnikov AK-47 674,081 85,022 3,405,875 12,768 24,671 9.7437 12.6% 40.1 27.3
17 Glock 18 Select Fire 5,335 979 16,642 51 111 7.4000 18.4% 17.0 48.1
18 H&K USP .45 Tactical 5,327 970 20,292 71 146 7.3000 18.2% 20.9 36.5
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) 11,949 4,146 556,901 467 2,920 5.4682 34.7% 134.3 4.1
21 Desert Eagle .50AE 63,509 16,935 887,884 3,345 6,200 4.4381 26.7% 52.4 10.2
22 Steyr Scout 49,134 15,284 1,463,137 3,717 6,318 2.6491 31.1% 95.7 7.8
23 Benelli M3 Super 90 Combat 3,686 7,477 106,542 325 828 2.3590 202.8% 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 20,418 1,393 73,118 2 489 1.8111 6.8% 52.5 41.8




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 85,022 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 51,842 27.8% 58.9% 13.3%
3 Desert Eagle .50AE 16,935 26.2% 61.4% 12.4%
4 Steyr Scout 15,259 26.6% 64.9% 8.5%
5 FN P90 8,862 28.5% 56.1% 15.4%
6 M249 PARA Light Machine Gun 8,022 27.5% 58.9% 13.6%
7 Benelli M3 Super 90 Combat 7,477 29.0% 57.8% 13.2%
8 Sig Sauer SG-552 Commando 5,280 28.6% 56.2% 15.2%
9 Sig Sauer P-228 4,732 29.2% 57.1% 13.8%
10 Arctic Warfare Magnum (Police) 4,146 32.2% 58.3% 9.5%
11 Glock 18 Select Fire 979 26.4% 61.1% 12.6%
12 H&K USP .45 Tactical 970 25.4% 61.6% 13.0%
13 Benelli/H&K M4 Super 90 XM1014 965 27.3% 55.9% 16.9%
14 Ingram MAC-10 891 26.7% 59.1% 14.1%
15 Dual Beretta 96G Elite 869 24.9% 61.2% 13.9%
16 H&K MP5-Navy 867 29.6% 55.9% 14.4%
17 Steyr Tactical Machine Pistol 559 25.4% 64.8% 9.8%
18 Galil 491 27.1% 56.6% 16.3%
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 / 363934 * 100, 2) AS kpercent,
			ROUND(headshots / 135692 * 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