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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.51%
Members: 29 active members (75 total)
Avg. Member Points: 11,666
Total Kills: 347,796
Total Deaths: 299,138
Avg. Kills: 11,993
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 389d 00:37:57h
Avg. Connection Time: 13d 09:57:10h
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 33,787 46d 21:12:43h 69,011 19.84% 31,407 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.10% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.17% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,275 5d 21:58:06h 7,092 2.04% 4,764 1.49
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.32% 10,412 1.11
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.53% 12,180 1.58
7  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.12% 38,713 1.09
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31
9  Russian federationИлья190RUS elorank 12,777 3d 20:42:14h 4,029 1.16% 3,507 1.15
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.89% 1,465 2.12
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.05% 15,207 1.15
12  Russian federationStanislav752 elorank 10,866 15d 16:47:10h 12,962 3.73% 12,347 1.05
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.99% 13,411 1.03
14  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.84% 2,272 1.28
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.76% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,194 3d 14:42:30h 3,449 0.99% 3,630 0.95
17  Russian federationBISON elorank 10,189 8d 18:11:16h 5,762 1.66% 8,673 0.66
18  Russian federationShalfeYka elorank 10,155 2d 02:47:21h 1,861 0.54% 1,855 1.00
19  Russian federationavpvovan elorank 9,850 5d 20:54:08h 4,459 1.28% 5,044 0.88
20  Russian federationSprut elorank 9,466 2d 05:32:07h 1,786 0.51% 2,281 0.78


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) 47 times 188
6 Start Defusing the Bomb Without a Defuse Kit 64 times 0
7 Domination (4 kills) 446 times 1,338
8 Defuse the Bomb 485 times 4,850
9 Start Defusing the Bomb With a Defuse Kit 662 times 0
10 Revenge 1,640 times 4,920
11 Triple Kill (3 kills) 2,546 times 5,092
12 Domination 3,292 times 16,460
13 Plant the Bomb 4,725 times 47,250
14 Double Kill (2 kills) 10,618 times 10,618
15 Drop the Bomb 12,345 times -24690
16 Round MVP 16,710 times 0
17 Pick up the Bomb 22,479 times 44,958
18 Headshot 26,613 times 26,613




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-descending.gif
1 Revenge 1,927 times -5781
2 Domination 2,631 times -13155




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,359 times 21.46%
2 Terrorist 3,087 times 28.08%




  Weapon Usage *

Rank Weapon Points Modifier sort-descending.gif Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Bundeswehr Advanced Combat Knife 2.00 1,604 0.46% 2 0.00% 0.00
2 High Explosive Grenade 1.80 2,492 0.72% 0 0.00% 0.00
3 Steyr Tactical Machine Pistol 1.50 61 0.02% 30 0.02% 0.49
4 Sig Sauer P-228 1.50 1,227 0.35% 522 0.40% 0.43
5 Ingram MAC-10 1.50 113 0.03% 54 0.04% 0.48
6 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
7 H&K USP .45 Tactical 1.40 131 0.04% 68 0.05% 0.52
8 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
9 Dual Beretta 96G Elite 1.40 221 0.06% 102 0.08% 0.46
10 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
11 FN P90 1.20 1,560 0.45% 694 0.53% 0.44
12 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
13 Benelli M3 Super 90 Combat 1.20 639 0.18% 269 0.20% 0.42
14 M249 PARA Light Machine Gun 1.20 2,227 0.64% 1,074 0.81% 0.48
15 Desert Eagle .50AE 1.20 6,507 1.87% 3,634 2.76% 0.56
16 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
17 Steyr Scout 1.10 5,995 1.72% 3,783 2.87% 0.63
18 Galil 1.10 120 0.03% 50 0.04% 0.42
19 Sig Sauer SG-552 Commando 1.00 961 0.28% 427 0.32% 0.44
20 Colt M4A1 Carbine 1.00 11,435 3.29% 5,187 3.93% 0.45
21 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
22 Arctic Warfare Magnum (Police) 1.00 2,393 0.69% 397 0.30% 0.17
23 Steyr Aug 1.00 73 0.02% 36 0.03% 0.49
24 Kalashnikov AK-47 1.00 18,834 5.42% 9,553 7.25% 0.51
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 sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 567,306 68,303 2,701,898 9,981 19,363 9.4270 12.0% 39.6 29.3
2 Colt M4A1 Carbine 394,504 50,453 1,606,081 5,184 11,432 11.2409 12.8% 31.8 34.5
3 Desert Eagle .50AE 70,883 18,283 950,253 3,668 6,547 4.3358 25.8% 52.0 10.8
4 Steyr Scout 47,874 14,417 1,379,724 3,776 5,989 2.4062 30.1% 95.7 8.0
5 Arctic Warfare Magnum (Police) 9,976 3,458 464,968 404 2,401 5.0335 34.7% 134.5 4.2
6 M249 PARA Light Machine Gun 116,058 8,604 322,328 1,126 2,285 12.0263 7.4% 37.5 50.8
7 FN P90 77,012 8,821 206,950 694 1,560 10.1961 11.5% 23.5 49.4
8 Sig Sauer P-228 33,275 5,154 158,748 522 1,227 22.3091 15.5% 30.8 27.1
9 Sig Sauer SG-552 Commando 73,927 4,954 143,487 440 977 37.5769 6.7% 29.0 75.7
10 Benelli M3 Super 90 Combat 2,889 5,828 83,995 269 639 2.1515 201.7% 14.4 4.5
11 Bundeswehr Advanced Combat Knife 11,809 1,119 57,763 2 384 1.6842 9.5% 51.6 30.8
12 Dual Beretta 96G Elite 5,596 1,099 30,532 102 221 73.6667 19.6% 27.8 25.3
13 H&K USP .45 Tactical 5,138 922 18,930 67 130 10.0000 17.9% 20.5 39.5
14 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
15 Ingram MAC-10 4,819 813 14,680 53 110 27.5000 16.9% 18.1 43.8
16 H&K MP5-Navy 4,929 900 15,098 45 103 11.4444 18.3% 16.8 47.9
17 Glock 18 Select Fire 5,185 897 15,777 50 103 6.8667 17.3% 17.6 50.3
18 Benelli/H&K M4 Super 90 XM1014 1,344 924 10,916 28 75 15.0000 68.8% 11.8 17.9
19 Steyr Aug 2,907 396 11,724 37 74 10.5714 13.6% 29.6 39.3
20 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
21 Steyr Tactical Machine Pistol 4,096 508 9,055 29 60 60.0000 12.4% 17.8 68.3
22 Fusil Automatique 1,188 214 6,712 22 46 46.0000 18.0% 31.4 25.8
23 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
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 68,303 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 50,453 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 18,283 26.2% 61.6% 12.2%
4 Steyr Scout 14,392 26.4% 64.9% 8.7%
5 FN P90 8,821 27.9% 56.5% 15.6%
6 M249 PARA Light Machine Gun 8,604 28.4% 57.0% 14.7%
7 Benelli M3 Super 90 Combat 5,828 29.6% 57.3% 13.1%
8 Sig Sauer P-228 5,154 28.7% 57.7% 13.6%
9 Sig Sauer SG-552 Commando 4,954 28.8% 55.9% 15.3%
10 Arctic Warfare Magnum (Police) 3,458 32.5% 57.6% 9.9%
11 Dual Beretta 96G Elite 1,099 25.1% 61.2% 13.6%
12 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
13 H&K USP .45 Tactical 922 24.7% 62.4% 12.9%
14 H&K MP5-Navy 900 28.4% 56.8% 14.8%
15 Glock 18 Select Fire 897 26.4% 62.2% 11.4%
16 Ingram MAC-10 813 26.6% 58.1% 15.4%
17 Steyr Tactical Machine Pistol 508 26.0% 63.0% 11.0%
18 Galil 500 28.8% 55.6% 15.6%
19 Steyr Aug 396 27.5% 56.8% 15.7%
20 FN Five-Seven 344 23.3% 62.5% 14.2%
21 H&K UMP45 269 26.4% 53.5% 20.1%
22 Fusil Automatique 214 22.0% 63.6% 14.5%
23 Bundeswehr Advanced Combat Knife 50 24.0% 68.0% 8.0%
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 / 347796 * 100, 2) AS kpercent,
			ROUND(headshots / 131851 * 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