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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 79.21%
Members: 33 active members (74 total)
Avg. Member Points: 11,182
Total Kills: 373,883
Total Deaths: 303,600
Avg. Kills: 11,330
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 399d 16:44:56h
Avg. Connection Time: 12d 02:41:21h
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 18.33% 31,203 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.88% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.67% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.70% 16,883 1.93
5  Ukrainegusenica elorank 15,378 7d 03:25:49h 7,251 1.94% 5,709 1.27
6  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.14% 12,150 1.58
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.09% 10,412 1.11
8  Russian federationубивашка 62 elorank 14,160 3d 15:43:26h 4,250 1.14% 3,060 1.39
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.14% 3,263 1.31
10  Russian federationKAZANTIP elorank 12,736 49d 20:24:08h 41,967 11.22% 38,555 1.09
11  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.83% 1,465 2.12
12  Russian federationИлья190RUS elorank 12,066 3d 08:45:05h 3,537 0.95% 3,060 1.16
13  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.69% 15,207 1.15
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.71% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.29% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,822 3d 06:39:57h 3,117 0.83% 3,278 0.95
17  Russian federationavpvovan elorank 9,783 5d 19:58:36h 4,434 1.19% 5,009 0.89
18  Russian federationStanislav752 elorank 9,653 14d 00:21:59h 11,556 3.09% 10,991 1.05
19  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.33% 22,106 0.90
20  Russian federationShalfeYka elorank 9,274 1d 14:17:13h 1,386 0.37% 1,397 0.99


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) 4 times 20
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 63 times 252
6 Start Defusing the Bomb Without a Defuse Kit 77 times 0
7 Domination (4 kills) 562 times 1,686
8 Defuse the Bomb 565 times 5,650
9 Start Defusing the Bomb With a Defuse Kit 765 times 0
10 Revenge 1,803 times 5,409
11 Triple Kill (3 kills) 3,086 times 6,172
12 Domination 3,890 times 19,450
13 Plant the Bomb 5,923 times 59,230
14 Double Kill (2 kills) 12,117 times 12,117
15 Drop the Bomb 14,029 times -28058
16 Round MVP 19,203 times 0
17 Pick up the Bomb 26,146 times 52,292
18 Headshot 31,450 times 31,450




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,928 times -14640
2 Revenge 2,282 times -6846




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,492 times 28.23%
2 Counter-Terrorist 2,602 times 21.04%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 24,015 6.42% 12,047 8.57% 0.50
2 Colt M4A1 Carbine 1.00 12,923 3.46% 5,794 4.12% 0.45
3 Desert Eagle .50AE 1.20 6,689 1.79% 3,610 2.57% 0.54
4 Steyr Scout 1.10 6,671 1.78% 4,012 2.85% 0.60
5 Arctic Warfare Magnum (Police) 1.00 3,122 0.84% 512 0.36% 0.16
6 High Explosive Grenade 1.80 2,773 0.74% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,119 0.57% 1,090 0.78% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,668 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,573 0.42% 671 0.48% 0.43
10 Sig Sauer P-228 1.50 1,159 0.31% 463 0.33% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,062 0.28% 474 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 853 0.23% 336 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 1.40 150 0.04% 73 0.05% 0.49
15 Ingram MAC-10 1.50 126 0.03% 62 0.04% 0.49
16 Galil 1.10 117 0.03% 49 0.03% 0.42
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 93 0.02% 44 0.03% 0.47
20 Benelli/H&K M4 Super 90 XM1014 1.10 79 0.02% 28 0.02% 0.35
21 Steyr Tactical Machine Pistol 1.50 70 0.02% 38 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 0.01% 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 sort-descending.gif Shots Hits Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Benelli/H&K M4 Super 90 XM1014 1,451 979 11,467 28 79 13.1667 67.5% 11.7 18.4
2 H&K USP .45 Tactical 5,804 1,045 21,463 72 149 7.4500 18.0% 20.5 39.0
3 H&K UMP45 2,094 279 5,557 16 35 17.5000 13.3% 19.9 59.8
4 Steyr Tactical Machine Pistol 4,158 582 10,535 38 70 70.0000 14.0% 18.1 59.4
5 Sig Sauer SG-552 Commando 76,723 5,387 157,619 487 1,078 38.5000 7.0% 29.3 71.2
6 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
7 Steyr Scout 52,227 16,396 1,570,423 4,061 6,759 2.6006 31.4% 95.8 7.7
8 FN P90 77,826 8,898 206,224 671 1,573 9.8313 11.4% 23.2 49.5
9 Sig Sauer P-228 28,938 4,739 145,982 463 1,159 24.1458 16.4% 30.8 25.0
10 H&K MP5-Navy 5,036 897 14,865 43 101 10.1000 17.8% 16.6 49.9
11 Ingram MAC-10 5,281 891 16,344 61 123 24.6000 16.9% 18.3 42.9
12 Colt M4A1 Carbine 445,688 56,810 1,804,491 5,798 12,927 11.0393 12.7% 31.8 34.5
13 Benelli M3 Super 90 Combat 3,791 7,731 109,986 336 853 2.3827 203.9% 14.2 4.4
14 M249 PARA Light Machine Gun 103,954 8,192 320,436 1,204 2,268 14.5385 7.9% 39.1 45.8
15 Bundeswehr Advanced Combat Knife 20,657 1,426 75,248 2 502 1.8321 6.9% 52.8 41.1
16 Glock 18 Select Fire 5,413 983 16,731 51 111 7.4000 18.2% 17.0 48.8
17 Galil 3,313 495 16,217 49 117 58.5000 14.9% 32.8 28.3
18 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
19 FN Five-Seven 1,363 372 9,904 36 69 23.0000 27.3% 26.6 19.8
20 Fusil Automatique 1,149 216 6,577 20 44 44.0000 18.8% 30.4 26.1
21 Dual Beretta 96G Elite 4,582 878 24,854 85 180 60.0000 19.2% 28.3 25.5
22 Desert Eagle .50AE 72,600 19,354 1,019,955 3,934 7,070 4.5820 26.7% 52.7 10.3
23 Arctic Warfare Magnum (Police) 12,610 4,436 601,748 519 3,130 5.3504 35.2% 135.7 4.0
24 Steyr Aug 3,347 479 14,284 44 93 11.6250 14.3% 29.8 36.0
25 Kalashnikov AK-47 694,167 88,496 3,549,059 13,364 25,679 9.4028 12.7% 40.1 27.0




  Weapon Targets *

Rank Weapon sort-descending.gif Hits Left Middle Right
1 Benelli/H&K M4 Super 90 XM1014 979 27.2% 56.1% 16.8%
2 H&K USP .45 Tactical 1,045 25.7% 61.9% 12.3%
3 H&K UMP45 279 26.2% 53.8% 20.1%
4 Steyr Tactical Machine Pistol 582 24.9% 64.6% 10.5%
5 Sig Sauer SG-552 Commando 5,387 28.6% 56.3% 15.1%
6 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
7 Steyr Scout 16,371 26.6% 65.0% 8.4%
8 FN P90 8,898 28.5% 56.1% 15.4%
9 Sig Sauer P-228 4,739 29.2% 57.1% 13.7%
10 H&K MP5-Navy 897 28.9% 56.2% 14.9%
11 Ingram MAC-10 891 26.7% 59.1% 14.1%
12 Colt M4A1 Carbine 56,810 27.6% 59.4% 13.0%
13 Benelli M3 Super 90 Combat 7,731 29.0% 57.9% 13.1%
14 M249 PARA Light Machine Gun 8,192 27.5% 58.9% 13.6%
15 Bundeswehr Advanced Combat Knife 64 17.2% 76.6% 6.3%
16 Glock 18 Select Fire 983 26.4% 61.0% 12.5%
17 Galil 495 26.9% 56.6% 16.6%
18 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
19 FN Five-Seven 372 21.0% 65.1% 14.0%
20 Fusil Automatique 216 21.3% 63.9% 14.8%
21 Dual Beretta 96G Elite 878 24.7% 61.5% 13.8%
22 Desert Eagle .50AE 19,354 25.9% 62.1% 12.0%
23 Arctic Warfare Magnum (Police) 4,436 32.1% 58.3% 9.6%
24 Steyr Aug 479 28.4% 56.4% 15.2%
25 Kalashnikov AK-47 88,496 26.8% 59.8% 13.4%


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 / 373883 * 100, 2) AS kpercent,
			ROUND(headshots / 140534 * 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