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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.09%
Members: 33 active members (75 total)
Avg. Member Points: 11,422
Total Kills: 367,483
Total Deaths: 314,767
Avg. Kills: 11,136
Kills per Death: 1.17
Kills per Minute: 0.63
Total Connection Time: 407d 17:57:10h
Avg. Connection Time: 12d 08:32:38h
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 18.78% 31,407 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.93% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.78% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,178 5d 20:58:32h 7,031 1.91% 4,740 1.48
5  UkraineDo1zzy elorank 16,540 8d 07:06:48h 8,372 2.28% 6,594 1.27
6  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.15% 10,412 1.11
7  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.24% 12,180 1.58
8  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 11.47% 38,713 1.09
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.16% 3,263 1.31
10  Russian federationИлья190RUS elorank 12,777 3d 20:42:14h 4,029 1.10% 3,507 1.15
11  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.85% 1,465 2.12
12  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.78% 15,207 1.15
13  Russian federationStanislav752 elorank 10,866 15d 16:36:27h 12,962 3.53% 12,347 1.05
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.77% 13,411 1.03
15  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.79% 2,272 1.28
16  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.40% 15,929 1.48
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,194 3d 14:42:30h 3,449 0.94% 3,630 0.95
18  Russian federationBISON elorank 10,189 8d 18:11:16h 5,762 1.57% 8,673 0.66
19  Russian federationShalfeYka elorank 10,155 2d 02:47:21h 1,861 0.51% 1,855 1.00
20  Russian federationavpvovan elorank 9,850 5d 20:54:08h 4,459 1.21% 5,044 0.88


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 4,741 times 47,410
2 Pick up the Bomb 22,589 times 45,178
3 Headshot 26,698 times 26,698
4 Domination 3,297 times 16,485
5 Double Kill (2 kills) 10,653 times 10,653
6 Triple Kill (3 kills) 2,552 times 5,104
7 Revenge 1,653 times 4,959
8 Defuse the Bomb 492 times 4,920
9 Domination (4 kills) 446 times 1,338
10 Rampage (5 kills) 47 times 188
11 Mega Kill (6 kills) 4 times 20
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 65 times 0
15 Start Defusing the Bomb With a Defuse Kit 669 times 0
16 Round MVP 16,793 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 12,427 times -24854




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 1,933 times -5799
2 Domination 2,644 times -13220




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 3,094 times 28.09%
2 Counter-Terrorist 2,363 times 21.45%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 18,960 5.16% 9,613 6.78% 0.51
2 Colt M4A1 Carbine 1.00 11,444 3.11% 5,192 3.66% 0.45
3 Desert Eagle .50AE 1.20 6,521 1.77% 3,644 2.57% 0.56
4 Steyr Scout 1.10 6,005 1.63% 3,787 2.67% 0.63
5 High Explosive Grenade 1.80 2,496 0.68% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,393 0.65% 397 0.28% 0.17
7 M249 PARA Light Machine Gun 1.20 2,227 0.61% 1,074 0.76% 0.48
8 Bundeswehr Advanced Combat Knife 2.00 1,612 0.44% 2 0.00% 0.00
9 FN P90 1.20 1,562 0.43% 694 0.49% 0.44
10 Sig Sauer P-228 1.50 1,232 0.34% 524 0.37% 0.43
11 Sig Sauer SG-552 Commando 1.00 961 0.26% 427 0.30% 0.44
12 Benelli M3 Super 90 Combat 1.20 640 0.17% 269 0.19% 0.42
13 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.07% 0.46
14 H&K USP .45 Tactical 1.40 136 0.04% 71 0.05% 0.52
15 Galil 1.10 120 0.03% 50 0.04% 0.42
16 Ingram MAC-10 1.50 114 0.03% 55 0.04% 0.48
17 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
18 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
19 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
20 Steyr Aug 1.00 73 0.02% 36 0.03% 0.49
21 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
22 Steyr Tactical Machine Pistol 1.50 61 0.02% 30 0.02% 0.49
23 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
24 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
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 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
2 Steyr Tactical Machine Pistol 4,096 508 9,055 29 60 60.0000 12.4% 17.8 68.3
3 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
4 Fusil Automatique 1,188 214 6,712 22 46 46.0000 18.0% 31.4 25.8
5 Sig Sauer SG-552 Commando 74,004 4,956 143,497 440 977 37.5769 6.7% 29.0 75.7
6 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
7 Ingram MAC-10 4,901 823 14,828 54 111 27.7500 16.8% 18.0 44.2
8 Sig Sauer P-228 33,362 5,168 159,164 524 1,232 22.4000 15.5% 30.8 27.1
9 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
10 Benelli/H&K M4 Super 90 XM1014 1,344 924 10,916 28 75 15.0000 68.8% 11.8 17.9
11 M249 PARA Light Machine Gun 116,058 8,604 322,328 1,126 2,285 12.0263 7.4% 37.5 50.8
12 H&K MP5-Navy 4,929 900 15,098 45 103 11.4444 18.3% 16.8 47.9
13 Colt M4A1 Carbine 395,276 50,564 1,608,601 5,189 11,441 11.1511 12.8% 31.8 34.5
14 Steyr Aug 2,907 396 11,724 37 74 10.5714 13.6% 29.6 39.3
15 H&K USP .45 Tactical 5,189 934 19,226 70 135 10.3846 18.0% 20.6 38.4
16 FN P90 77,116 8,832 207,122 694 1,562 10.2092 11.5% 23.5 49.4
17 Kalashnikov AK-47 573,474 68,807 2,720,676 10,041 19,489 9.4286 12.0% 39.5 29.4
18 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
19 Glock 18 Select Fire 5,237 903 15,870 50 103 6.8667 17.2% 17.6 50.8
20 Arctic Warfare Magnum (Police) 9,976 3,458 464,968 404 2,401 5.0335 34.7% 134.5 4.2
21 Desert Eagle .50AE 70,995 18,313 952,516 3,678 6,561 4.3364 25.8% 52.0 10.8
22 Steyr Scout 48,129 14,460 1,382,731 3,780 5,999 2.3758 30.0% 95.6 8.0
23 Benelli M3 Super 90 Combat 2,895 5,838 84,109 269 640 2.1477 201.7% 14.4 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 11,848 1,124 58,058 2 386 1.6856 9.5% 51.7 30.7




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 68,807 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 50,564 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 18,313 26.2% 61.6% 12.2%
4 Steyr Scout 14,435 26.4% 64.9% 8.7%
5 FN P90 8,832 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 5,838 29.6% 57.3% 13.1%
8 Sig Sauer P-228 5,168 28.7% 57.7% 13.6%
9 Sig Sauer SG-552 Commando 4,956 28.8% 55.9% 15.3%
10 Arctic Warfare Magnum (Police) 3,458 32.5% 57.6% 9.9%
11 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
12 H&K USP .45 Tactical 934 24.8% 62.4% 12.7%
13 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
14 Glock 18 Select Fire 903 26.4% 62.3% 11.3%
15 H&K MP5-Navy 900 28.4% 56.8% 14.8%
16 Ingram MAC-10 823 26.7% 58.0% 15.3%
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 / 367483 * 100, 2) AS kpercent,
			ROUND(headshots / 141833 * 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