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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.24%
Members: 29 active members (75 total)
Avg. Member Points: 11,659
Total Kills: 347,194
Total Deaths: 298,555
Avg. Kills: 11,972
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 388d 07:06:11h
Avg. Connection Time: 13d 09:20:54h
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 33,787 46d 21:12:43h 69,011 19.88% 31,407 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.10% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.18% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,586 5d 16:27:45h 6,826 1.97% 4,564 1.50
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.33% 10,412 1.11
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.54% 12,180 1.58
7  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31
8  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 12.13% 38,689 1.09
9  Russian federationИлья190RUS elorank 12,673 3d 19:17:12h 3,977 1.15% 3,458 1.15
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.90% 1,465 2.12
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.05% 15,207 1.15
12  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.73% 12,310 1.05
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.99% 13,411 1.03
14  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.84% 2,272 1.28
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.77% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,119 3d 14:17:47h 3,430 0.99% 3,610 0.95
17  Russian federationBISON elorank 9,997 8d 15:34:32h 5,697 1.64% 8,585 0.66
18  Russian federationShalfeYka elorank 9,929 2d 00:54:08h 1,783 0.51% 1,789 1.00
19  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.28% 5,036 0.88
20  Russian federationLoony elorank 9,616 30d 09:51:43h 19,993 5.76% 22,172 0.90


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Mega Kill (6 kills) 4 times 20
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 48 times 192
6 Start Defusing the Bomb Without a Defuse Kit 65 times 0
7 Domination (4 kills) 451 times 1,353
8 Defuse the Bomb 504 times 5,040
9 Start Defusing the Bomb With a Defuse Kit 697 times 0
10 Revenge 1,670 times 5,010
11 Triple Kill (3 kills) 2,560 times 5,120
12 Domination 3,321 times 16,605
13 Plant the Bomb 4,739 times 47,390
14 Double Kill (2 kills) 10,742 times 10,742
15 Drop the Bomb 12,606 times -25212
16 Round MVP 16,964 times 0
17 Pick up the Bomb 22,750 times 45,500
18 Headshot 26,883 times 26,883




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,679 times -13395
2 Revenge 1,948 times -5844




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 3,133 times 27.92%
2 Counter-Terrorist 2,418 times 21.55%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 19,192 5.53% 9,729 7.40% 0.51
2 Colt M4A1 Carbine 1.00 11,716 3.37% 5,288 4.02% 0.45
3 Desert Eagle .50AE 1.20 6,495 1.87% 3,623 2.75% 0.56
4 Steyr Scout 1.10 5,941 1.71% 3,738 2.84% 0.63
5 High Explosive Grenade 1.80 2,502 0.72% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,415 0.70% 403 0.31% 0.17
7 M249 PARA Light Machine Gun 1.20 2,278 0.66% 1,106 0.84% 0.49
8 Bundeswehr Advanced Combat Knife 2.00 1,656 0.48% 2 0.00% 0.00
9 FN P90 1.20 1,554 0.45% 689 0.52% 0.44
10 Sig Sauer P-228 1.50 1,250 0.36% 529 0.40% 0.42
11 Sig Sauer SG-552 Commando 1.00 965 0.28% 428 0.33% 0.44
12 Benelli M3 Super 90 Combat 1.20 642 0.18% 270 0.21% 0.42
13 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 0.46
14 H&K USP .45 Tactical 1.40 134 0.04% 67 0.05% 0.50
15 Galil 1.10 120 0.03% 50 0.04% 0.42
16 Ingram MAC-10 1.50 119 0.03% 59 0.04% 0.50
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 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
20 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
21 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
22 Steyr Tactical Machine Pistol 1.50 59 0.02% 30 0.02% 0.51
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 sort-descending.gif Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 584,349 69,627 2,753,422 10,157 19,721 9.3332 11.9% 39.5 29.6
2 Colt M4A1 Carbine 415,015 51,825 1,644,836 5,285 11,713 10.9672 12.5% 31.7 35.4
3 Steyr Scout 47,673 14,334 1,368,791 3,731 5,935 2.3759 30.1% 95.5 8.0
4 Desert Eagle .50AE 70,715 18,252 949,428 3,657 6,535 4.3480 25.8% 52.0 10.8
5 Arctic Warfare Magnum (Police) 10,062 3,487 470,096 410 2,423 5.0690 34.7% 134.8 4.2
6 M249 PARA Light Machine Gun 117,217 8,759 329,465 1,158 2,336 12.2947 7.5% 37.6 50.2
7 FN P90 76,892 8,793 206,007 689 1,554 10.1569 11.4% 23.4 49.5
8 Sig Sauer P-228 33,771 5,229 160,866 529 1,250 23.1481 15.5% 30.8 27.0
9 Sig Sauer SG-552 Commando 74,133 4,978 143,947 441 981 37.7308 6.7% 28.9 75.6
10 Benelli M3 Super 90 Combat 2,912 5,847 84,477 270 642 2.1188 200.8% 14.4 4.5
11 Bundeswehr Advanced Combat Knife 12,064 1,158 60,557 2 403 1.7371 9.6% 52.3 29.9
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 5,166 934 19,236 66 133 10.2308 18.1% 20.6 38.8
14 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
15 Glock 18 Select Fire 5,207 905 15,932 50 103 6.8667 17.4% 17.6 50.6
16 Ingram MAC-10 5,038 844 15,369 58 116 29.0000 16.8% 18.2 43.4
17 H&K MP5-Navy 4,960 905 15,133 45 103 11.4444 18.2% 16.7 48.2
18 Steyr Aug 3,010 428 12,647 40 81 11.5714 14.2% 29.5 37.2
19 Benelli/H&K M4 Super 90 XM1014 1,346 924 10,916 28 75 15.0000 68.6% 11.8 17.9
20 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
21 Steyr Tactical Machine Pistol 4,010 502 8,977 29 58 58.0000 12.5% 17.9 69.1
22 Fusil Automatique 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
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 69,627 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 51,825 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 18,252 26.2% 61.6% 12.2%
4 Steyr Scout 14,309 26.4% 64.9% 8.7%
5 FN P90 8,793 28.0% 56.4% 15.6%
6 M249 PARA Light Machine Gun 8,759 28.3% 57.1% 14.6%
7 Benelli M3 Super 90 Combat 5,847 29.6% 57.3% 13.1%
8 Sig Sauer P-228 5,229 28.6% 57.7% 13.7%
9 Sig Sauer SG-552 Commando 4,978 28.7% 56.0% 15.3%
10 Arctic Warfare Magnum (Police) 3,487 32.5% 57.7% 9.8%
11 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
12 H&K USP .45 Tactical 934 24.9% 62.8% 12.2%
13 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
14 H&K MP5-Navy 905 28.4% 56.8% 14.8%
15 Glock 18 Select Fire 905 26.4% 62.3% 11.3%
16 Ingram MAC-10 844 26.4% 58.4% 15.2%
17 Steyr Tactical Machine Pistol 502 25.7% 63.1% 11.2%
18 Galil 500 28.8% 55.6% 15.6%
19 Steyr Aug 428 27.8% 57.2% 15.0%
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 53 24.5% 67.9% 7.5%
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 / 347194 * 100, 2) AS kpercent,
			ROUND(headshots / 131525 * 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