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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 79.66%
Members: 30 active members (75 total)
Avg. Member Points: 11,795
Total Kills: 370,845
Total Deaths: 301,068
Avg. Kills: 12,362
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 397d 00:44:14h
Avg. Connection Time: 13d 05:37:28h
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 33,844 46d 17:13:18h 68,741 18.54% 31,298 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.91% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.72% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.77% 16,883 1.93
5  Ukrainegusenica elorank 16,117 8d 01:13:28h 8,133 2.19% 6,377 1.28
6  Russian federationубивашка 62 elorank 15,361 4d 04:10:06h 4,883 1.32% 3,479 1.40
7  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.12% 10,412 1.11
8  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.19% 12,180 1.58
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.15% 3,263 1.31
10  Russian federationKAZANTIP elorank 12,736 49d 20:24:08h 41,967 11.32% 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 09:54:51h 3,603 0.97% 3,106 1.16
13  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.73% 15,207 1.15
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.74% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.34% 15,929 1.48
16  Russian federationStanislav752 elorank 9,978 14d 09:04:04h 11,899 3.21% 11,276 1.06
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,962 3d 07:47:20h 3,154 0.85% 3,318 0.95
18  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.20% 5,021 0.89
19  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.38% 22,106 0.90
20  Russian federationShalfeYka elorank 9,407 1d 15:54:53h 1,429 0.39% 1,451 0.98


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 3,003 times 6,006
2 Touch a Hostage 4 times 0
3 Start Defusing the Bomb Without a Defuse Kit 77 times 0
4 Start Defusing the Bomb With a Defuse Kit 762 times 0
5 Round MVP 18,923 times 0
6 Revenge 1,786 times 5,358
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 58 times 232
9 Plant the Bomb 5,818 times 58,180
10 Pick up the Bomb 25,793 times 51,586
11 Mega Kill (6 kills) 4 times 20
12 Kill a Hostage 18 times -270
13 Headshot 30,990 times 30,990
14 Drop the Bomb 13,980 times -27960
15 Double Kill (2 kills) 11,839 times 11,839
16 Domination (4 kills) 546 times 1,638
17 Domination 3,756 times 18,780
18 Defuse the Bomb 555 times 5,550




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,915 times -14575
2 Revenge 2,202 times -6606




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,486 times 28.08%
2 Counter-Terrorist 2,622 times 21.12%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,169 6.25% 11,641 8.36% 0.50
2 Colt M4A1 Carbine 1.00 12,627 3.40% 5,669 4.07% 0.45
3 Desert Eagle .50AE 1.20 6,845 1.85% 3,716 2.67% 0.54
4 Steyr Scout 1.10 6,673 1.80% 4,031 2.90% 0.60
5 Arctic Warfare Magnum (Police) 1.00 3,050 0.82% 500 0.36% 0.16
6 High Explosive Grenade 1.80 2,794 0.75% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,103 0.57% 1,077 0.77% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,663 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,418 0.38% 628 0.45% 0.44
10 Sig Sauer P-228 1.50 1,214 0.33% 489 0.35% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,063 0.29% 475 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 824 0.22% 329 0.24% 0.40
13 Dual Beretta 96G Elite 1.40 179 0.05% 85 0.06% 0.47
14 H&K USP .45 Tactical 1.40 147 0.04% 73 0.05% 0.50
15 Galil 1.10 125 0.03% 52 0.04% 0.42
16 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
17 Glock 18 Select Fire 1.40 111 0.03% 51 0.04% 0.46
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 89 0.02% 42 0.03% 0.47
20 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 29 0.02% 0.36
21 Steyr Tactical Machine Pistol 1.50 57 0.02% 33 0.02% 0.58
22 FN Five-Seven 1.50 56 0.02% 26 0.02% 0.46
23 Fusil Automatique 1.00 45 0.01% 21 0.02% 0.47
24 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
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 Galil 3,722 534 17,592 52 125 62.5000 14.3% 32.9 29.8
2 Dual Beretta 96G Elite 4,563 871 24,753 85 179 59.6667 19.1% 28.4 25.5
3 Steyr Tactical Machine Pistol 4,093 487 8,783 33 57 57.0000 11.9% 18.0 71.8
4 Fusil Automatique 1,129 211 6,476 20 43 43.0000 18.7% 30.7 26.3
5 Sig Sauer SG-552 Commando 76,755 5,393 157,772 488 1,079 38.5357 7.0% 29.3 71.1
6 FN Five-Seven 1,343 365 9,741 35 68 34.0000 27.2% 26.7 19.8
7 Ingram MAC-10 5,185 864 15,804 60 119 29.7500 16.7% 18.3 43.6
8 Sig Sauer P-228 30,120 4,946 153,117 489 1,214 24.7755 16.4% 31.0 24.8
9 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
10 Benelli/H&K M4 Super 90 XM1014 1,465 1,007 11,716 29 81 16.2000 68.7% 11.6 18.1
11 M249 PARA Light Machine Gun 104,606 8,176 318,240 1,191 2,252 14.1635 7.8% 38.9 46.5
12 Steyr Aug 3,256 466 13,841 42 89 11.1250 14.3% 29.7 36.6
13 H&K MP5-Navy 4,977 886 14,719 43 100 11.1111 17.8% 16.6 49.8
14 Colt M4A1 Carbine 442,318 55,682 1,765,459 5,673 12,631 10.7681 12.6% 31.7 35.0
15 Kalashnikov AK-47 678,359 85,529 3,433,017 12,959 24,834 9.4354 12.6% 40.1 27.3
16 FN P90 72,623 8,160 190,392 628 1,418 9.3289 11.2% 23.3 51.2
17 H&K USP .45 Tactical 5,765 1,033 21,254 72 146 7.6842 17.9% 20.6 39.5
18 Glock 18 Select Fire 5,548 984 16,686 50 109 7.2667 17.7% 17.0 50.9
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) 12,415 4,342 587,548 507 3,058 5.3649 35.0% 135.3 4.1
21 Desert Eagle .50AE 74,507 19,791 1,042,204 4,040 7,226 4.6321 26.6% 52.7 10.3
22 Steyr Scout 53,921 16,454 1,571,746 4,087 6,778 2.5821 30.5% 95.5 8.0
23 Benelli M3 Super 90 Combat 3,656 7,391 105,751 329 824 2.4023 202.2% 14.3 4.4
24 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
25 Bundeswehr Advanced Combat Knife 21,880 1,353 70,910 2 472 1.6797 6.2% 52.4 46.4




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 85,529 26.7% 59.8% 13.5%
2 Colt M4A1 Carbine 55,682 27.6% 59.4% 13.0%
3 Desert Eagle .50AE 19,791 25.7% 62.2% 12.1%
4 Steyr Scout 16,429 26.5% 64.9% 8.6%
5 M249 PARA Light Machine Gun 8,176 27.7% 58.6% 13.6%
6 FN P90 8,160 28.1% 56.4% 15.5%
7 Benelli M3 Super 90 Combat 7,391 29.0% 57.9% 13.1%
8 Sig Sauer SG-552 Commando 5,393 28.6% 56.3% 15.1%
9 Sig Sauer P-228 4,946 29.2% 57.2% 13.6%
10 Arctic Warfare Magnum (Police) 4,342 32.4% 57.7% 9.9%
11 H&K USP .45 Tactical 1,033 24.3% 63.0% 12.7%
12 Benelli/H&K M4 Super 90 XM1014 1,007 27.3% 56.3% 16.4%
13 Glock 18 Select Fire 984 26.8% 60.7% 12.5%
14 H&K MP5-Navy 886 28.6% 56.5% 14.9%
15 Dual Beretta 96G Elite 871 24.5% 61.7% 13.9%
16 Ingram MAC-10 864 26.7% 58.9% 14.4%
17 Galil 534 27.9% 55.4% 16.7%
18 Steyr Tactical Machine Pistol 487 25.5% 62.8% 11.7%
19 Steyr Aug 466 28.3% 56.7% 15.0%
20 FN Five-Seven 365 21.1% 64.9% 14.0%
21 H&K UMP45 270 24.8% 55.2% 20.0%
22 Fusil Automatique 211 20.4% 64.5% 15.2%
23 Bundeswehr Advanced Combat Knife 67 22.4% 71.6% 6.0%
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 / 370845 * 100, 2) AS kpercent,
			ROUND(headshots / 139176 * 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