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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.20%
Members: 29 active members (75 total)
Avg. Member Points: 11,661
Total Kills: 347,732
Total Deaths: 299,112
Avg. Kills: 11,991
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 388d 23:24:29h
Avg. Connection Time: 13d 09:54:38h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank sort-descending.gif Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,787 46d 21:12:43h 69,011 19.85% 31,407 2.20
2  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.12% 38,713 1.09
3  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.54% 12,180 1.58
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.76% 15,929 1.48
5  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.05% 15,207 1.15
6  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.17% 24,192 1.03
7  Russian federationLoony elorank 9,426 30d 12:35:17h 20,062 5.77% 22,263 0.90
8  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.64% 18,072 0.89
9  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.32% 10,412 1.11
10  Russian federationStanislav752 elorank 10,866 15d 16:36:27h 12,962 3.73% 12,347 1.05
11  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.99% 13,411 1.03
12  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.10% 5,572 1.93
13  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.66% 14,654 0.63
14  Russian federationубивашка 62 elorank 17,178 5d 20:58:32h 7,031 2.02% 4,740 1.48
15  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.37% 6,243 0.76
16  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.70% 7,910 0.75
17  Russian federationBISON elorank 10,165 8d 18:08:05h 5,759 1.66% 8,671 0.66
18  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.44% 11,872 0.42
19  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31
20  Russian federationИлья190RUS elorank 12,777 3d 20:42:14h 4,029 1.16% 3,507 1.15


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 2,552 times 5,104
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 669 times 0
5 Round MVP 16,790 times 0
6 Revenge 1,653 times 4,959
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 47 times 188
9 Plant the Bomb 4,741 times 47,410
10 Pick up the Bomb 22,589 times 45,178
11 Mega Kill (6 kills) 4 times 20
12 Kill a Hostage 18 times -270
13 Headshot 26,697 times 26,697
14 Drop the Bomb 12,427 times -24854
15 Double Kill (2 kills) 10,653 times 10,653
16 Domination (4 kills) 446 times 1,338
17 Domination 3,297 times 16,485
18 Defuse the Bomb 492 times 4,920




  Victims of Player-Player Actions *

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




  Team Selection *

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




  Weapon Usage *

Rank Weapon sort-descending.gif Points Modifier Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
2 H&K USP .45 Tactical 1.40 136 0.04% 71 0.05% 0.52
3 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
4 Steyr Tactical Machine Pistol 1.50 61 0.02% 30 0.02% 0.49
5 Sig Sauer SG-552 Commando 1.00 961 0.28% 427 0.32% 0.44
6 Steyr Scout 1.10 6,005 1.73% 3,787 2.87% 0.63
7 FN P90 1.20 1,560 0.45% 693 0.53% 0.44
8 Sig Sauer P-228 1.50 1,232 0.35% 524 0.40% 0.43
9 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
10 Ingram MAC-10 1.50 114 0.03% 55 0.04% 0.48
11 Colt M4A1 Carbine 1.00 11,444 3.29% 5,192 3.94% 0.45
12 Benelli M3 Super 90 Combat 1.20 640 0.18% 269 0.20% 0.42
13 M249 PARA Light Machine Gun 1.20 2,226 0.64% 1,074 0.81% 0.48
14 Bundeswehr Advanced Combat Knife 2.00 1,612 0.46% 2 0.00% 0.00
15 High Explosive Grenade 1.80 2,496 0.72% 0 0.00% 0.00
16 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
17 Galil 1.10 120 0.03% 50 0.04% 0.42
18 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
19 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
20 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
21 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 0.46
22 Desert Eagle .50AE 1.20 6,521 1.88% 3,644 2.76% 0.56
23 Arctic Warfare Magnum (Police) 1.00 2,393 0.69% 397 0.30% 0.17
24 Steyr Aug 1.00 73 0.02% 36 0.03% 0.49
25 Kalashnikov AK-47 1.00 18,960 5.45% 9,613 7.29% 0.51




  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-47 573,474 68,807 2,720,676 10,041 19,489 9.4286 12.0% 39.5 29.4
2 Colt M4A1 Carbine 395,276 50,564 1,608,601 5,189 11,441 11.1511 12.8% 31.8 34.5
3 Desert Eagle .50AE 70,995 18,313 952,516 3,678 6,561 4.3364 25.8% 52.0 10.8
4 Steyr Scout 48,129 14,460 1,382,731 3,780 5,999 2.3758 30.0% 95.6 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 116,054 8,600 322,228 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 2,895 5,838 84,109 269 640 2.1477 201.7% 14.4 4.5
11 Bundeswehr Advanced Combat Knife 11,848 1,124 58,058 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 5,189 934 19,226 70 135 10.3846 18.0% 20.6 38.4
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 5,237 903 15,870 50 103 6.8667 17.2% 17.6 50.8
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 68,807 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 8,821 27.9% 56.5% 15.6%
6 M249 PARA Light Machine Gun 8,600 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 / 347732 * 100, 2) AS kpercent,
			ROUND(headshots / 131816 * 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