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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 79.24%
Members: 29 active members (74 total)
Avg. Member Points: 11,866
Total Kills: 368,464
Total Deaths: 298,364
Avg. Kills: 12,706
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 393d 14:26:01h
Avg. Connection Time: 13d 13:44:20h
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 11.39% 38,555 1.09
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,191 46d 14:34:31h 68,605 18.62% 31,236 2.20
3  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.76% 24,192 1.03
4  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.41% 22,106 0.90
5  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.38% 18,072 0.89
6  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.83% 16,883 1.93
7  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.38% 15,929 1.48
8  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.76% 15,207 1.15
9  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.76% 13,411 1.03
10  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.22% 12,180 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 9,912 14d 07:12:47h 11,813 3.21% 11,184 1.06
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 1.60% 7,910 0.75
15  Russian federationBISON elorank 8,204 7d 05:58:21h 4,755 1.29% 7,245 0.66
16  Ukrainegusenica elorank 16,307 7d 18:31:09h 7,878 2.14% 6,165 1.28
17  Russian federation⇜Ṧ†êrvå⇝ elorank 9,024 6d 04:06:24h 4,472 1.21% 5,846 0.76
18  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.92% 5,572 1.93
19  Russian federationavpvovan elorank 9,811 5d 20:06:15h 4,441 1.21% 5,010 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 Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 5,820 times 58,200
2 Pick up the Bomb 25,572 times 51,144
3 Headshot 30,577 times 30,577
4 Domination 3,749 times 18,745
5 Double Kill (2 kills) 11,684 times 11,684
6 Triple Kill (3 kills) 2,958 times 5,916
7 Defuse the Bomb 539 times 5,390
8 Revenge 1,746 times 5,238
9 Domination (4 kills) 538 times 1,614
10 Rampage (5 kills) 60 times 240
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 77 times 0
15 Start Defusing the Bomb With a Defuse Kit 732 times 0
16 Round MVP 18,744 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 13,754 times -27508




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-ascending.gif Points Bonus
1 Revenge 2,203 times -6609
2 Domination 2,826 times -14130




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,425 times 28.42%
2 Counter-Terrorist 2,513 times 20.85%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 23,395 6.35% 11,758 8.51% 0.50
2 Colt M4A1 Carbine 1.00 12,561 3.41% 5,645 4.08% 0.45
3 Desert Eagle .50AE 1.20 6,509 1.77% 3,595 2.60% 0.55
4 Steyr Scout 1.10 6,042 1.64% 3,708 2.68% 0.61
5 Arctic Warfare Magnum (Police) 1.00 2,906 0.79% 485 0.35% 0.17
6 High Explosive Grenade 1.80 2,710 0.74% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,084 0.57% 1,067 0.77% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,647 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,389 0.38% 612 0.44% 0.44
10 Sig Sauer P-228 1.50 1,192 0.32% 475 0.34% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,062 0.29% 475 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 825 0.22% 325 0.24% 0.39
13 Dual Beretta 96G Elite 1.40 180 0.05% 85 0.06% 0.47
14 H&K USP .45 Tactical 1.40 139 0.04% 70 0.05% 0.50
15 Ingram MAC-10 1.50 125 0.03% 62 0.04% 0.50
16 Galil 1.10 123 0.03% 50 0.04% 0.41
17 Glock 18 Select Fire 1.40 104 0.03% 50 0.04% 0.48
18 H&K MP5-Navy 1.20 103 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 89 0.02% 42 0.03% 0.47
20 Benelli/H&K M4 Super 90 XM1014 1.10 82 0.02% 29 0.02% 0.35
21 Steyr Tactical Machine Pistol 1.50 64 0.02% 34 0.02% 0.53
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 35 0.01% 16 0.01% 0.46
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-47 697,126 86,525 3,465,691 13,076 25,060 9.4530 12.4% 40.1 27.8
2 Colt M4A1 Carbine 439,061 55,361 1,756,621 5,649 12,565 10.8977 12.6% 31.7 34.9
3 Desert Eagle .50AE 70,423 18,802 997,440 3,919 6,890 4.7192 26.7% 53.0 10.2
4 Steyr Scout 47,111 14,796 1,418,347 3,757 6,131 2.5642 31.4% 95.9 7.7
5 Arctic Warfare Magnum (Police) 11,796 4,152 562,799 492 2,914 5.2694 35.2% 135.5 4.0
6 M249 PARA Light Machine Gun 103,790 8,104 315,357 1,181 2,233 14.7881 7.8% 38.9 46.5
7 FN P90 71,577 7,983 186,435 612 1,389 9.1382 11.2% 23.4 51.5
8 Sig Sauer P-228 29,703 4,850 149,668 475 1,192 24.8333 16.3% 30.9 24.9
9 Sig Sauer SG-552 Commando 76,748 5,392 157,738 488 1,078 38.5000 7.0% 29.3 71.2
10 Benelli M3 Super 90 Combat 3,676 7,423 105,875 325 825 2.3913 201.9% 14.3 4.5
11 Bundeswehr Advanced Combat Knife 13,296 1,358 71,092 2 476 1.9116 10.2% 52.4 27.9
12 Dual Beretta 96G Elite 4,591 878 24,854 85 180 60.0000 19.1% 28.3 25.5
13 H&K USP .45 Tactical 5,441 967 19,934 69 138 7.2632 17.8% 20.6 39.4
14 Galil 3,628 525 17,256 50 123 61.5000 14.5% 32.9 29.5
15 Ingram MAC-10 5,220 874 16,065 61 122 24.4000 16.7% 18.4 42.8
16 Glock 18 Select Fire 5,273 909 15,730 49 102 6.8000 17.2% 17.3 51.7
17 H&K MP5-Navy 5,024 892 14,820 43 101 10.1000 17.8% 16.6 49.7
18 Steyr Aug 3,256 466 13,841 42 89 11.1250 14.3% 29.7 36.6
19 Benelli/H&K M4 Super 90 XM1014 1,479 1,025 11,879 29 82 13.6667 69.3% 11.6 18.0
20 FN Five-Seven 1,363 372 9,904 36 69 23.0000 27.3% 26.6 19.8
21 Steyr Tactical Machine Pistol 4,014 549 9,753 34 64 64.0000 13.7% 17.8 62.7
22 Fusil Automatique 1,106 209 6,384 20 44 44.0000 18.9% 30.5 25.1
23 H&K UMP45 2,087 276 5,507 16 34 17.0000 13.2% 20.0 61.4
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 86,525 26.7% 59.7% 13.5%
2 Colt M4A1 Carbine 55,361 27.7% 59.4% 13.0%
3 Desert Eagle .50AE 18,802 25.6% 62.5% 11.9%
4 Steyr Scout 14,771 26.4% 65.2% 8.4%
5 M249 PARA Light Machine Gun 8,104 27.7% 58.7% 13.7%
6 FN P90 7,983 28.1% 56.4% 15.5%
7 Benelli M3 Super 90 Combat 7,423 28.8% 58.0% 13.2%
8 Sig Sauer SG-552 Commando 5,392 28.6% 56.3% 15.2%
9 Sig Sauer P-228 4,850 29.3% 57.1% 13.6%
10 Arctic Warfare Magnum (Police) 4,152 32.4% 58.1% 9.6%
11 Benelli/H&K M4 Super 90 XM1014 1,025 27.4% 56.2% 16.4%
12 H&K USP .45 Tactical 967 25.3% 62.4% 12.3%
13 Glock 18 Select Fire 909 26.5% 61.6% 11.9%
14 H&K MP5-Navy 892 28.7% 56.5% 14.8%
15 Dual Beretta 96G Elite 878 24.7% 61.5% 13.8%
16 Ingram MAC-10 874 26.5% 59.0% 14.4%
17 Steyr Tactical Machine Pistol 549 26.2% 63.2% 10.6%
18 Galil 525 28.2% 55.2% 16.6%
19 Steyr Aug 466 28.3% 56.7% 15.0%
20 FN Five-Seven 372 21.0% 65.1% 14.0%
21 H&K UMP45 276 26.4% 53.6% 19.9%
22 Fusil Automatique 209 20.1% 65.6% 14.4%
23 Bundeswehr Advanced Combat Knife 61 18.0% 75.4% 6.6%
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 / 368464 * 100, 2) AS kpercent,
			ROUND(headshots / 138243 * 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