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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.89%
Members: 29 active members (75 total)
Avg. Member Points: 11,656
Total Kills: 347,595
Total Deaths: 298,930
Avg. Kills: 11,986
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 388d 17:53:00h
Avg. Connection Time: 13d 09:43:12h
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-ascending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.66% 14,654 0.63
2  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.44% 11,872 0.42
3  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.70% 7,910 0.75
4  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.14% 471 1.02
5  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.24% 754 1.08
6  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.31% 775 1.38
7  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.65% 18,072 0.89
8  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.37% 6,243 0.76
9  Russian federationLoony elorank 9,426 30d 12:35:17h 20,062 5.77% 22,263 0.90
10  Russian federationSprut elorank 9,466 2d 05:32:07h 1,786 0.51% 2,281 0.78
11  Russian federationavpvovan elorank 9,850 5d 20:54:08h 4,459 1.28% 5,044 0.88
12  Russian federationBISON elorank 9,997 8d 15:34:32h 5,697 1.64% 8,585 0.66
13  Russian federationShalfeYka elorank 10,155 2d 02:47:21h 1,861 0.54% 1,855 1.00
14  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,194 3d 14:42:30h 3,449 0.99% 3,630 0.95
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.76% 15,929 1.48
16  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.84% 2,272 1.28
17  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.99% 13,411 1.03
18  Russian federationStanislav752 elorank 10,880 15d 15:29:10h 12,952 3.73% 12,315 1.05
19  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.05% 15,207 1.15
20  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.89% 1,465 2.12


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 2,546 times 5,092
2 Touch a Hostage 4 times 0
3 Start Defusing the Bomb Without a Defuse Kit 65 times 0
4 Start Defusing the Bomb With a Defuse Kit 667 times 0
5 Round MVP 16,755 times 0
6 Revenge 1,646 times 4,938
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 47 times 188
9 Plant the Bomb 4,732 times 47,320
10 Pick up the Bomb 22,538 times 45,076
11 Mega Kill (6 kills) 4 times 20
12 Kill a Hostage 18 times -270
13 Headshot 26,628 times 26,628
14 Drop the Bomb 12,399 times -24798
15 Double Kill (2 kills) 10,629 times 10,629
16 Domination (4 kills) 445 times 1,335
17 Domination 3,292 times 16,460
18 Defuse the Bomb 490 times 4,900




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-descending.gif
1 Revenge 1,930 times -5790
2 Domination 2,632 times -13160




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 2,356 times 21.45%
2 Terrorist 3,084 times 28.08%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 18,921 5.44% 9,591 7.28% 0.51
2 Colt M4A1 Carbine 1.00 11,421 3.29% 5,186 3.94% 0.45
3 Desert Eagle .50AE 1.20 6,498 1.87% 3,629 2.75% 0.56
4 Steyr Scout 1.10 5,967 1.72% 3,764 2.86% 0.63
5 High Explosive Grenade 1.80 2,490 0.72% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,386 0.69% 395 0.30% 0.17
7 M249 PARA Light Machine Gun 1.20 2,226 0.64% 1,074 0.82% 0.48
8 Bundeswehr Advanced Combat Knife 2.00 1,612 0.46% 2 0.00% 0.00
9 FN P90 1.20 1,560 0.45% 693 0.53% 0.44
10 Sig Sauer P-228 1.50 1,232 0.35% 524 0.40% 0.43
11 Sig Sauer SG-552 Commando 1.00 961 0.28% 427 0.32% 0.44
12 Benelli M3 Super 90 Combat 1.20 639 0.18% 268 0.20% 0.42
13 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 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 sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 569,257 68,629 2,714,518 10,019 19,450 9.4326 12.1% 39.6 29.3
2 Colt M4A1 Carbine 394,090 50,434 1,605,312 5,183 11,418 11.1613 12.8% 31.8 34.5
3 Desert Eagle .50AE 70,680 18,250 948,982 3,663 6,538 4.3471 25.8% 52.0 10.8
4 Steyr Scout 47,858 14,383 1,375,122 3,757 5,961 2.3749 30.1% 95.6 8.0
5 Arctic Warfare Magnum (Police) 9,955 3,451 463,538 402 2,394 5.0400 34.7% 134.3 4.2
6 M249 PARA Light Machine Gun 116,043 8,599 322,201 1,126 2,284 12.0211 7.4% 37.5 50.8
7 FN P90 77,039 8,821 206,815 693 1,560 10.1961 11.5% 23.4 49.4
8 Sig Sauer P-228 33,362 5,168 159,164 524 1,232 22.4000 15.5% 30.8 27.1
9 Sig Sauer SG-552 Commando 74,004 4,956 143,497 440 977 37.5769 6.7% 29.0 75.7
10 Benelli M3 Super 90 Combat 2,885 5,814 83,850 268 639 2.1515 201.5% 14.4 4.5
11 Bundeswehr Advanced Combat Knife 11,847 1,123 58,043 2 386 1.6856 9.5% 51.7 30.7
12 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
13 H&K USP .45 Tactical 5,140 933 19,211 70 135 10.3846 18.2% 20.6 38.1
14 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
15 Ingram MAC-10 4,901 823 14,828 54 111 27.7500 16.8% 18.0 44.2
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 5,188 903 15,870 50 103 6.8667 17.4% 17.6 50.4
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 68,629 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 50,434 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 18,250 26.2% 61.6% 12.2%
4 Steyr Scout 14,358 26.4% 64.9% 8.7%
5 FN P90 8,821 27.9% 56.5% 15.6%
6 M249 PARA Light Machine Gun 8,599 28.4% 57.0% 14.7%
7 Benelli M3 Super 90 Combat 5,814 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) 3,451 32.5% 57.6% 9.8%
11 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
12 H&K USP .45 Tactical 933 24.8% 62.5% 12.8%
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 / 347595 * 100, 2) AS kpercent,
			ROUND(headshots / 131747 * 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