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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 72.59%
Members: 32 active members (75 total)
Avg. Member Points: 11,489
Total Kills: 346,979
Total Deaths: 301,873
Avg. Kills: 10,843
Kills per Death: 1.15
Kills per Minute: 0.62
Total Connection Time: 388d 21:25:38h
Avg. Connection Time: 12d 03:40:10h
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 33,577 47d 00:25:35h 69,203 19.94% 31,506 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.11% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.18% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,740 6d 10:11:03h 7,701 2.22% 5,238 1.47
5  UkraineDo1zzy elorank 16,540 8d 07:06:48h 8,372 2.41% 6,594 1.27
6  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.33% 10,412 1.11
7  Russian federationDIM4IK elorank 14,639 16d 11:27:37h 19,248 5.55% 12,180 1.58
8  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.15% 38,713 1.09
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31
10  Russian federationИлья190RUS elorank 12,920 4d 00:32:53h 4,193 1.21% 3,648 1.15
11  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.90% 1,465 2.12
12  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.06% 15,207 1.15
13  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.73% 8,932 0.67
14  Russian federationShalfeYka elorank 10,843 2d 18:14:08h 2,443 0.70% 2,461 0.99
15  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 4.01% 13,456 1.03
16  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.84% 2,272 1.28
17  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,338 3d 18:53:25h 3,682 1.06% 3,797 0.97
18  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.29% 5,052 0.89
19  Russian federationStanislav752 elorank 9,598 16d 20:32:33h 13,707 3.95% 13,379 1.02
20  Russian federationLoony elorank 9,434 30d 16:59:55h 20,162 5.81% 22,413 0.90


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Pick up the Bomb 20,107 times 40,214
2 Plant the Bomb 3,787 times 37,870
3 Headshot 23,414 times 23,414
4 Domination 2,863 times 14,315
5 Double Kill (2 kills) 9,432 times 9,432
6 Defuse the Bomb 459 times 4,590
7 Revenge 1,505 times 4,515
8 Triple Kill (3 kills) 2,212 times 4,424
9 Domination (4 kills) 366 times 1,098
10 Rampage (5 kills) 41 times 164
11 Mega Kill (6 kills) 3 times 15
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 56 times 0
15 Start Defusing the Bomb With a Defuse Kit 613 times 0
16 Round MVP 15,038 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 11,480 times -22960




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-ascending.gif Points Bonus
1 Revenge 1,685 times -5055
2 Domination 2,381 times -11905




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 2,746 times 27.40%
2 Counter-Terrorist 2,212 times 22.07%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 15,645 4.51% 8,102 6.15% 0.52
2 Colt M4A1 Carbine 1.00 10,380 2.99% 4,759 3.61% 0.46
3 Desert Eagle .50AE 1.20 5,969 1.72% 3,407 2.58% 0.57
4 Steyr Scout 1.10 5,484 1.58% 3,446 2.61% 0.63
5 High Explosive Grenade 1.80 2,180 0.63% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 2,172 0.63% 1,038 0.79% 0.48
7 Arctic Warfare Magnum (Police) 1.00 2,032 0.59% 345 0.26% 0.17
8 FN P90 1.20 1,679 0.48% 737 0.56% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,566 0.45% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,296 0.37% 555 0.42% 0.43
11 Sig Sauer SG-552 Commando 1.00 841 0.24% 368 0.28% 0.44
12 Benelli M3 Super 90 Combat 1.20 533 0.15% 230 0.17% 0.43
13 Dual Beretta 96G Elite 1.40 211 0.06% 100 0.08% 0.47
14 H&K USP .45 Tactical 1.40 121 0.03% 65 0.05% 0.54
15 Galil 1.10 111 0.03% 45 0.03% 0.41
16 Glock 18 Select Fire 1.40 84 0.02% 40 0.03% 0.48
17 Ingram MAC-10 1.50 67 0.02% 27 0.02% 0.40
18 Steyr Aug 1.00 66 0.02% 32 0.02% 0.48
19 FN Five-Seven 1.50 60 0.02% 30 0.02% 0.50
20 H&K MP5-Navy 1.20 59 0.02% 27 0.02% 0.46
21 Benelli/H&K M4 Super 90 XM1014 1.10 50 0.01% 18 0.01% 0.36
22 Steyr Tactical Machine Pistol 1.50 50 0.01% 23 0.02% 0.46
23 Fusil Automatique 1.00 42 0.01% 20 0.02% 0.48
24 H&K UMP45 1.20 27 0.01% 13 0.01% 0.48
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-47 510,924 56,303 2,203,596 8,094 15,634 8.6711 11.0% 39.1 32.7
2 Colt M4A1 Carbine 359,537 45,736 1,456,026 4,756 10,377 11.6204 12.7% 31.8 34.6
3 Desert Eagle .50AE 65,233 16,639 868,827 3,404 5,965 4.0968 25.5% 52.2 10.9
4 Steyr Scout 45,108 13,359 1,257,671 3,439 5,478 2.2778 29.6% 94.1 8.2
5 M249 PARA Light Machine Gun 112,262 8,229 304,216 1,039 2,173 13.0120 7.3% 37.0 51.7
6 Arctic Warfare Magnum (Police) 8,609 2,942 394,728 345 2,033 4.9345 34.2% 134.2 4.2
7 FN P90 81,263 9,477 221,440 737 1,679 10.9739 11.7% 23.4 48.4
8 Sig Sauer P-228 35,004 5,552 169,888 555 1,296 20.9032 15.9% 30.6 27.0
9 Sig Sauer SG-552 Commando 62,759 4,220 121,898 368 842 36.6087 6.7% 28.9 74.5
10 Benelli M3 Super 90 Combat 2,547 5,055 72,913 230 533 1.8702 198.5% 14.4 4.8
11 Bundeswehr Advanced Combat Knife 10,728 1,124 59,679 2 391 1.6157 10.5% 53.1 27.4
12 Dual Beretta 96G Elite 5,260 1,039 29,309 100 211 70.3333 19.8% 28.2 24.9
13 H&K USP .45 Tactical 4,727 882 17,845 64 120 9.2308 18.7% 20.2 39.4
14 Galil 2,919 453 15,297 45 111 55.5000 15.5% 33.8 26.3
15 Glock 18 Select Fire 4,841 774 13,022 39 82 5.4667 16.0% 16.8 59.0
16 Steyr Aug 2,587 352 10,619 33 67 8.3750 13.6% 30.2 38.6
17 Ingram MAC-10 2,373 424 7,620 26 64 64.0000 17.9% 18.0 37.1
18 FN Five-Seven 1,340 333 8,950 31 61 30.5000 24.9% 26.9 22.0
19 H&K MP5-Navy 2,474 555 9,396 26 57 11.4000 22.4% 16.9 43.4
20 Benelli/H&K M4 Super 90 XM1014 1,018 619 7,334 18 50 10.0000 60.8% 11.8 20.4
21 Steyr Tactical Machine Pistol 2,977 386 6,792 22 49 49.0000 13.0% 17.6 60.8
22 Fusil Automatique 1,131 183 5,877 19 40 40.0000 16.2% 32.1 28.3
23 H&K UMP45 1,884 228 4,556 13 26 13.0000 12.1% 20.0 72.5
24 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
25 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0




  Weapon Targets *

Rank Weapon Hits Left sort-descending.gif Middle Right
1 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 0.0%
2 Arctic Warfare Magnum (Police) 2,942 33.0% 57.0% 10.0%
3 Benelli M3 Super 90 Combat 5,055 29.9% 57.2% 12.9%
4 Sig Sauer SG-552 Commando 4,220 29.3% 55.6% 15.1%
5 Benelli/H&K M4 Super 90 XM1014 619 29.2% 53.0% 17.8%
6 Sig Sauer P-228 5,552 28.8% 57.5% 13.7%
7 M249 PARA Light Machine Gun 8,229 28.3% 56.6% 15.1%
8 FN P90 9,477 28.0% 56.1% 15.9%
9 Colt M4A1 Carbine 45,736 27.9% 59.1% 13.1%
10 Galil 453 27.6% 57.8% 14.6%
11 Steyr Aug 352 27.6% 57.1% 15.3%
12 Kalashnikov AK-47 56,303 27.2% 58.8% 14.0%
13 H&K MP5-Navy 555 26.8% 58.2% 15.0%
14 Steyr Scout 13,334 26.5% 64.6% 8.9%
15 Glock 18 Select Fire 774 26.5% 62.1% 11.4%
16 Desert Eagle .50AE 16,639 26.3% 61.7% 12.1%
17 Steyr Tactical Machine Pistol 386 25.9% 62.7% 11.4%
18 Ingram MAC-10 424 25.9% 61.1% 13.0%
19 H&K USP .45 Tactical 882 25.6% 61.3% 13.0%
20 Dual Beretta 96G Elite 1,039 24.8% 61.6% 13.6%
21 H&K UMP45 228 24.1% 54.8% 21.1%
22 FN Five-Seven 333 23.7% 61.9% 14.4%
23 Fusil Automatique 183 22.4% 63.4% 14.2%
24 Bundeswehr Advanced Combat Knife 50 22.0% 72.0% 6.0%
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 / 346979 * 100, 2) AS kpercent,
			ROUND(headshots / 131826 * 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