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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 80.70%
Members: 30 active members (75 total)
Avg. Member Points: 11,731
Total Kills: 368,705
Total Deaths: 299,220
Avg. Kills: 12,290
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 394d 17:13:50h
Avg. Connection Time: 13d 03:46:27h
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 18.59% 31,203 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 01:32:04h 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  Ukrainegusenica elorank 16,377 7d 12:07:16h 7,593 2.06% 5,957 1.27
6  Russian federationубивашка 62 elorank 14,827 3d 18:23:48h 4,388 1.19% 3,152 1.39
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.13% 10,412 1.11
8  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.22% 12,180 1.58
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.16% 3,263 1.31
10  Russian federationKAZANTIP elorank 12,736 49d 20:24:08h 41,967 11.38% 38,555 1.09
11  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.84% 1,465 2.12
12  Russian federationИлья190RUS elorank 12,022 3d 09:54:38h 3,603 0.98% 3,106 1.16
13  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.76% 15,207 1.15
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.76% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.38% 15,929 1.48
16  Russian federationStanislav752 elorank 10,005 14d 03:45:36h 11,672 3.17% 11,084 1.05
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,822 3d 06:39:57h 3,117 0.85% 3,278 0.95
18  Russian federationavpvovan elorank 9,783 5d 19:58:36h 4,434 1.20% 5,009 0.89
19  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.41% 22,106 0.90
20  Russian federationShalfeYka elorank 9,274 1d 14:17:13h 1,386 0.38% 1,397 0.99


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 31,059 times 31,059
2 Pick up the Bomb 26,027 times 52,054
3 Round MVP 19,093 times 0
4 Drop the Bomb 14,034 times -28068
5 Double Kill (2 kills) 11,911 times 11,911
6 Plant the Bomb 5,866 times 58,660
7 Domination 3,811 times 19,055
8 Triple Kill (3 kills) 3,005 times 6,010
9 Revenge 1,795 times 5,385
10 Start Defusing the Bomb With a Defuse Kit 756 times 0
11 Defuse the Bomb 555 times 5,550
12 Domination (4 kills) 543 times 1,629
13 Start Defusing the Bomb Without a Defuse Kit 77 times 0
14 Rampage (5 kills) 62 times 248
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 4 times 20
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-ascending.gif Points Bonus
1 Revenge 2,242 times -6726
2 Domination 2,908 times -14540




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,467 times 28.21%
2 Counter-Terrorist 2,592 times 21.09%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,536 6.38% 11,813 8.55% 0.50
2 Colt M4A1 Carbine 1.00 12,816 3.48% 5,742 4.16% 0.45
3 Desert Eagle .50AE 1.20 6,709 1.82% 3,648 2.64% 0.54
4 Steyr Scout 1.10 6,559 1.78% 3,943 2.85% 0.60
5 Arctic Warfare Magnum (Police) 1.00 3,022 0.82% 496 0.36% 0.16
6 High Explosive Grenade 1.80 2,753 0.75% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,067 0.56% 1,057 0.76% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,660 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,487 0.40% 643 0.47% 0.43
10 Sig Sauer P-228 1.50 1,181 0.32% 472 0.34% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,067 0.29% 478 0.35% 0.45
12 Benelli M3 Super 90 Combat 1.20 833 0.23% 328 0.24% 0.39
13 Dual Beretta 96G Elite 1.40 180 0.05% 85 0.06% 0.47
14 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
15 Ingram MAC-10 1.50 125 0.03% 62 0.04% 0.50
16 Galil 1.10 122 0.03% 50 0.04% 0.41
17 Glock 18 Select Fire 1.40 113 0.03% 52 0.04% 0.46
18 H&K MP5-Navy 1.20 103 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 91 0.02% 43 0.03% 0.47
20 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 28 0.02% 0.35
21 Steyr Tactical Machine Pistol 1.50 67 0.02% 36 0.03% 0.54
22 FN Five-Seven 1.50 57 0.02% 27 0.02% 0.47
23 Fusil Automatique 1.00 46 0.01% 21 0.02% 0.46
24 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon Shots Hits Damage sort-descending.gif Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 694,482 87,035 3,485,085 13,130 25,200 9.4382 12.5% 40.0 27.6
2 Colt M4A1 Carbine 443,285 56,343 1,787,955 5,746 12,820 10.9199 12.7% 31.7 34.6
3 Steyr Scout 51,938 16,129 1,542,036 3,991 6,646 2.5820 31.1% 95.6 7.8
4 Desert Eagle .50AE 72,707 19,388 1,023,995 3,972 7,090 4.6522 26.7% 52.8 10.3
5 Arctic Warfare Magnum (Police) 12,201 4,284 581,407 503 3,030 5.3915 35.1% 135.7 4.0
6 M249 PARA Light Machine Gun 103,144 8,059 313,269 1,171 2,216 14.7733 7.8% 38.9 46.5
7 FN P90 74,490 8,454 196,536 643 1,487 9.7829 11.3% 23.2 50.1
8 Sig Sauer SG-552 Commando 76,869 5,412 158,419 491 1,083 38.6786 7.0% 29.3 71.0
9 Sig Sauer P-228 29,324 4,804 148,359 472 1,181 24.6042 16.4% 30.9 24.8
10 Benelli M3 Super 90 Combat 3,728 7,526 107,104 328 833 2.3333 201.9% 14.2 4.5
11 Bundeswehr Advanced Combat Knife 21,133 1,391 73,093 2 486 1.7673 6.6% 52.5 43.5
12 Dual Beretta 96G Elite 4,591 878 24,854 85 180 60.0000 19.1% 28.3 25.5
13 H&K USP .45 Tactical 5,735 1,025 21,060 72 147 7.3500 17.9% 20.5 39.0
14 Galil 3,479 516 16,977 50 122 61.0000 14.8% 32.9 28.5
15 Glock 18 Select Fire 5,522 994 16,879 51 111 7.4000 18.0% 17.0 49.7
16 Ingram MAC-10 5,220 874 16,065 61 122 24.4000 16.7% 18.4 42.8
17 H&K MP5-Navy 5,021 891 14,769 43 101 10.1000 17.7% 16.6 49.7
18 Steyr Aug 3,286 472 14,065 43 91 11.3750 14.4% 29.8 36.1
19 Benelli/H&K M4 Super 90 XM1014 1,476 1,017 11,775 28 81 13.5000 68.9% 11.6 18.2
20 Steyr Tactical Machine Pistol 4,073 560 10,043 36 67 67.0000 13.7% 17.9 60.8
21 FN Five-Seven 1,363 372 9,904 36 69 23.0000 27.3% 26.6 19.8
22 Fusil Automatique 1,149 216 6,577 20 44 44.0000 18.8% 30.4 26.1
23 H&K UMP45 2,094 279 5,557 16 35 17.5000 13.3% 19.9 59.8
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 87,035 26.8% 59.7% 13.5%
2 Colt M4A1 Carbine 56,343 27.6% 59.4% 13.0%
3 Desert Eagle .50AE 19,388 25.7% 62.3% 12.0%
4 Steyr Scout 16,104 26.5% 65.1% 8.5%
5 FN P90 8,454 28.2% 56.3% 15.5%
6 M249 PARA Light Machine Gun 8,059 27.6% 58.7% 13.7%
7 Benelli M3 Super 90 Combat 7,526 29.0% 57.9% 13.1%
8 Sig Sauer SG-552 Commando 5,412 28.5% 56.3% 15.2%
9 Sig Sauer P-228 4,804 29.2% 57.1% 13.7%
10 Arctic Warfare Magnum (Police) 4,284 32.2% 58.2% 9.6%
11 H&K USP .45 Tactical 1,025 25.8% 61.9% 12.4%
12 Benelli/H&K M4 Super 90 XM1014 1,017 27.2% 56.2% 16.5%
13 Glock 18 Select Fire 994 26.7% 60.7% 12.7%
14 H&K MP5-Navy 891 28.7% 56.5% 14.8%
15 Dual Beretta 96G Elite 878 24.7% 61.5% 13.8%
16 Ingram MAC-10 874 26.5% 59.0% 14.4%
17 Steyr Tactical Machine Pistol 560 25.9% 63.8% 10.4%
18 Galil 516 27.7% 55.4% 16.9%
19 Steyr Aug 472 28.4% 56.4% 15.3%
20 FN Five-Seven 372 21.0% 65.1% 14.0%
21 H&K UMP45 279 26.2% 53.8% 20.1%
22 Fusil Automatique 216 21.3% 63.9% 14.8%
23 Bundeswehr Advanced Combat Knife 68 16.2% 77.9% 5.9%
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 / 368705 * 100, 2) AS kpercent,
			ROUND(headshots / 138194 * 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