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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 81.60%
Members: 30 active members (74 total)
Avg. Member Points: 11,670
Total Kills: 367,860
Total Deaths: 298,480
Avg. Kills: 12,262
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 393d 18:34:43h
Avg. Connection Time: 13d 03:01:09h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points Activity Time Kills Clan Kills % Deaths sort-descending.gif Kpd
1  Russian federationKAZANTIP elorank 12,736 49d 20:24:08h 41,967 11.41% 38,555 1.09
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,390 46d 13:13:09h 68,524 18.63% 31,203 2.20
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.77% 24,192 1.03
4  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.42% 22,106 0.90
5  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.39% 18,072 0.89
6  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.84% 16,883 1.93
7  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.39% 15,929 1.48
8  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.77% 15,207 1.15
9  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.77% 13,411 1.03
10  Russian federationDiM4iK elorank 14,858 16d 10:41:59h 19,219 5.22% 12,150 1.58
11  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.36% 11,872 0.42
12  Russian federationStanislav752 elorank 9,653 14d 00:21:59h 11,556 3.14% 10,991 1.05
13  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.14% 10,412 1.11
14  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.61% 7,910 0.75
15  Russian federationBISON elorank 7,929 7d 00:53:17h 4,634 1.26% 7,046 0.66
16  Russian federation⇜Ṧ†êrvå⇝ elorank 8,971 6d 00:52:09h 4,381 1.19% 5,729 0.76
17  Ukrainegusenica elorank 15,378 7d 03:25:49h 7,251 1.97% 5,709 1.27
18  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.93% 5,572 1.93
19  Russian federationavpvovan elorank 9,783 5d 19:58:36h 4,434 1.21% 5,009 0.89
20  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,822 3d 06:39:57h 3,117 0.85% 3,278 0.95


Page: 1 2




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 3,021 times 6,042
2 Touch a Hostage 4 times 0
3 Start Defusing the Bomb Without a Defuse Kit 77 times 0
4 Start Defusing the Bomb With a Defuse Kit 754 times 0
5 Round MVP 18,992 times 0
6 Revenge 1,794 times 5,382
7 Rescue a Hostage 1 times 5
8 Rampage (5 kills) 62 times 248
9 Plant the Bomb 5,832 times 58,320
10 Pick up the Bomb 25,879 times 51,758
11 Mega Kill (6 kills) 4 times 20
12 Kill a Hostage 18 times -270
13 Headshot 31,045 times 31,045
14 Drop the Bomb 13,932 times -27864
15 Double Kill (2 kills) 11,953 times 11,953
16 Domination (4 kills) 547 times 1,641
17 Domination 3,829 times 19,145
18 Defuse the Bomb 556 times 5,560




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,909 times -14545
2 Revenge 2,251 times -6753




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,460 times 28.22%
2 Counter-Terrorist 2,582 times 21.06%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,700 6.44% 11,889 8.63% 0.50
2 Colt M4A1 Carbine 1.00 12,847 3.49% 5,751 4.17% 0.45
3 Desert Eagle .50AE 1.20 6,621 1.80% 3,575 2.59% 0.54
4 Steyr Scout 1.10 6,540 1.78% 3,928 2.85% 0.60
5 Arctic Warfare Magnum (Police) 1.00 3,046 0.83% 500 0.36% 0.16
6 High Explosive Grenade 1.80 2,750 0.75% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,069 0.56% 1,058 0.77% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,649 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,478 0.40% 636 0.46% 0.43
10 Sig Sauer P-228 1.50 1,157 0.31% 461 0.33% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,062 0.29% 474 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 842 0.23% 333 0.24% 0.40
13 Dual Beretta 96G Elite 1.40 180 0.05% 85 0.06% 0.47
14 H&K USP .45 Tactical 1.40 150 0.04% 73 0.05% 0.49
15 Ingram MAC-10 1.50 126 0.03% 62 0.05% 0.49
16 Galil 1.10 117 0.03% 49 0.04% 0.42
17 Glock 18 Select Fire 1.40 113 0.03% 52 0.04% 0.46
18 H&K MP5-Navy 1.20 103 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 91 0.02% 43 0.03% 0.47
20 Benelli/H&K M4 Super 90 XM1014 1.10 79 0.02% 28 0.02% 0.35
21 Steyr Tactical Machine Pistol 1.50 70 0.02% 38 0.03% 0.54
22 FN Five-Seven 1.50 57 0.02% 27 0.02% 0.47
23 Fusil Automatique 1.00 46 0.01% 21 0.02% 0.46
24 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
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-47 689,658 87,511 3,506,780 13,206 25,364 9.3698 12.7% 40.1 27.2
2 Colt M4A1 Carbine 443,896 56,486 1,792,777 5,755 12,851 10.9650 12.7% 31.7 34.5
3 Desert Eagle .50AE 71,959 19,179 1,010,671 3,899 7,002 4.6036 26.7% 52.7 10.3
4 Steyr Scout 51,511 16,119 1,539,705 3,977 6,628 2.5870 31.3% 95.5 7.8
5 Arctic Warfare Magnum (Police) 12,314 4,321 586,263 507 3,054 5.3206 35.1% 135.7 4.0
6 M249 PARA Light Machine Gun 103,075 8,063 313,436 1,172 2,218 14.6887 7.8% 38.9 46.5
7 FN P90 74,365 8,416 195,110 636 1,478 9.7237 11.3% 23.2 50.3
8 Sig Sauer P-228 28,919 4,734 145,739 461 1,157 24.1042 16.4% 30.8 25.0
9 Sig Sauer SG-552 Commando 76,712 5,387 157,619 487 1,078 38.5000 7.0% 29.3 71.2
10 Benelli M3 Super 90 Combat 3,755 7,641 108,780 333 842 2.3520 203.5% 14.2 4.5
11 Bundeswehr Advanced Combat Knife 20,552 1,392 73,311 2 487 1.7970 6.8% 52.7 42.2
12 Dual Beretta 96G Elite 4,582 878 24,854 85 180 60.0000 19.2% 28.3 25.5
13 H&K USP .45 Tactical 5,753 1,035 21,286 72 149 7.4500 18.0% 20.6 38.6
14 Ingram MAC-10 5,281 891 16,344 61 123 24.6000 16.9% 18.3 42.9
15 Galil 3,313 495 16,217 49 117 58.5000 14.9% 32.8 28.3
16 Glock 18 Select Fire 5,394 983 16,731 51 111 7.4000 18.2% 17.0 48.6
17 H&K MP5-Navy 5,021 891 14,769 43 101 10.1000 17.7% 16.6 49.7
18 Steyr Aug 3,286 472 14,065 43 91 11.3750 14.4% 29.8 36.1
19 Benelli/H&K M4 Super 90 XM1014 1,451 979 11,467 28 79 13.1667 67.5% 11.7 18.4
20 Steyr Tactical Machine Pistol 4,127 580 10,497 38 70 70.0000 14.1% 18.1 59.0
21 FN Five-Seven 1,363 372 9,904 36 69 23.0000 27.3% 26.6 19.8
22 Fusil Automatique 1,149 216 6,577 20 44 44.0000 18.8% 30.4 26.1
23 H&K UMP45 2,094 279 5,557 16 35 17.5000 13.3% 19.9 59.8
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 87,511 26.8% 59.8% 13.5%
2 Colt M4A1 Carbine 56,486 27.7% 59.3% 13.0%
3 Desert Eagle .50AE 19,179 25.8% 62.2% 11.9%
4 Steyr Scout 16,094 26.6% 64.9% 8.5%
5 FN P90 8,416 28.4% 56.1% 15.5%
6 M249 PARA Light Machine Gun 8,063 27.6% 58.7% 13.7%
7 Benelli M3 Super 90 Combat 7,641 29.0% 57.9% 13.1%
8 Sig Sauer SG-552 Commando 5,387 28.6% 56.3% 15.1%
9 Sig Sauer P-228 4,734 29.2% 57.1% 13.7%
10 Arctic Warfare Magnum (Police) 4,321 32.1% 58.3% 9.6%
11 H&K USP .45 Tactical 1,035 25.7% 61.8% 12.5%
12 Glock 18 Select Fire 983 26.4% 61.0% 12.5%
13 Benelli/H&K M4 Super 90 XM1014 979 27.2% 56.1% 16.8%
14 H&K MP5-Navy 891 28.7% 56.5% 14.8%
15 Ingram MAC-10 891 26.7% 59.1% 14.1%
16 Dual Beretta 96G Elite 878 24.7% 61.5% 13.8%
17 Steyr Tactical Machine Pistol 580 25.0% 64.7% 10.3%
18 Galil 495 26.9% 56.6% 16.6%
19 Steyr Aug 472 28.4% 56.4% 15.3%
20 FN Five-Seven 372 21.0% 65.1% 14.0%
21 H&K UMP45 279 26.2% 53.8% 20.1%
22 Fusil Automatique 216 21.3% 63.9% 14.8%
23 Bundeswehr Advanced Combat Knife 64 17.2% 76.6% 6.3%
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 / 367860 * 100, 2) AS kpercent,
			ROUND(headshots / 137766 * 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