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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.27%
Members: 33 active members (75 total)
Avg. Member Points: 11,419
Total Kills: 366,942
Total Deaths: 314,208
Avg. Kills: 11,119
Kills per Death: 1.17
Kills per Minute: 0.63
Total Connection Time: 407d 01:35:41h
Avg. Connection Time: 12d 08:02:53h
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 18.81% 31,407 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.94% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.79% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,586 5d 16:27:45h 6,826 1.86% 4,564 1.50
5  UkraineDo1zzy elorank 16,540 8d 07:06:48h 8,372 2.28% 6,594 1.27
6  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.15% 10,412 1.11
7  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.25% 12,180 1.58
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.17% 3,263 1.31
9  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 11.48% 38,689 1.09
10  Russian federationИлья190RUS elorank 12,673 3d 19:17:12h 3,977 1.08% 3,458 1.15
11  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.85% 1,465 2.12
12  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.78% 15,207 1.15
13  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.53% 12,310 1.05
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.78% 13,411 1.03
15  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.79% 2,272 1.28
16  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.41% 15,929 1.48
17  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,119 3d 14:17:47h 3,430 0.93% 3,610 0.95
18  Russian federationBISON elorank 9,997 8d 15:34:32h 5,697 1.55% 8,585 0.66
19  Russian federationShalfeYka elorank 9,929 2d 00:54:08h 1,783 0.49% 1,789 1.00
20  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.21% 5,036 0.88


Page: 1 2




  Player Actions *

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




  Victims of Player-Player Actions *

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




  Team Selection *

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




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk sort-ascending.gif
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 High Explosive Grenade 1.80 2,502 0.68% 0 0.00% 0.00
3 Bundeswehr Advanced Combat Knife 2.00 1,656 0.45% 2 0.00% 0.00
4 Arctic Warfare Magnum (Police) 1.00 2,415 0.66% 403 0.28% 0.17
5 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
6 Galil 1.10 120 0.03% 50 0.04% 0.42
7 Benelli M3 Super 90 Combat 1.20 642 0.17% 270 0.19% 0.42
8 Sig Sauer P-228 1.50 1,250 0.34% 529 0.37% 0.42
9 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
10 FN P90 1.20 1,554 0.42% 689 0.49% 0.44
11 Sig Sauer SG-552 Commando 1.00 965 0.26% 428 0.30% 0.44
12 Colt M4A1 Carbine 1.00 11,716 3.19% 5,288 3.74% 0.45
13 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.07% 0.46
14 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
15 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
16 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
17 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
18 M249 PARA Light Machine Gun 1.20 2,278 0.62% 1,106 0.78% 0.49
19 Ingram MAC-10 1.50 119 0.03% 59 0.04% 0.50
20 H&K USP .45 Tactical 1.40 134 0.04% 67 0.05% 0.50
21 Kalashnikov AK-47 1.00 19,192 5.23% 9,729 6.87% 0.51
22 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
23 Steyr Tactical Machine Pistol 1.50 59 0.02% 30 0.02% 0.51
24 Desert Eagle .50AE 1.20 6,495 1.77% 3,623 2.56% 0.56
25 Steyr Scout 1.10 5,941 1.62% 3,738 2.64% 0.63




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
3 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
4 Fusil Automatique 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
5 Steyr Tactical Machine Pistol 4,010 502 8,977 29 58 58.0000 12.5% 17.9 69.1
6 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
7 Benelli/H&K M4 Super 90 XM1014 1,346 924 10,916 28 75 15.0000 68.6% 11.8 17.9
8 Steyr Aug 3,010 428 12,647 40 81 11.5714 14.2% 29.5 37.2
9 Glock 18 Select Fire 5,207 905 15,932 50 103 6.8667 17.4% 17.6 50.6
10 H&K MP5-Navy 4,960 905 15,133 45 103 11.4444 18.2% 16.7 48.2
11 Ingram MAC-10 5,038 844 15,369 58 116 29.0000 16.8% 18.2 43.4
12 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
13 H&K USP .45 Tactical 5,166 934 19,236 66 133 10.2308 18.1% 20.6 38.8
14 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
15 Bundeswehr Advanced Combat Knife 12,064 1,158 60,557 2 403 1.7371 9.6% 52.3 29.9
16 Benelli M3 Super 90 Combat 2,912 5,847 84,477 270 642 2.1188 200.8% 14.4 4.5
17 Sig Sauer SG-552 Commando 74,133 4,978 143,947 441 981 37.7308 6.7% 28.9 75.6
18 Sig Sauer P-228 33,771 5,229 160,866 529 1,250 23.1481 15.5% 30.8 27.0
19 FN P90 76,892 8,793 206,007 689 1,554 10.1569 11.4% 23.4 49.5
20 M249 PARA Light Machine Gun 117,217 8,759 329,465 1,158 2,336 12.2947 7.5% 37.6 50.2
21 Arctic Warfare Magnum (Police) 10,062 3,487 470,096 410 2,423 5.0690 34.7% 134.8 4.2
22 Steyr Scout 47,673 14,334 1,368,791 3,731 5,935 2.3759 30.1% 95.5 8.0
23 Desert Eagle .50AE 70,715 18,252 949,428 3,657 6,535 4.3480 25.8% 52.0 10.8
24 Colt M4A1 Carbine 415,015 51,825 1,644,836 5,285 11,713 10.9672 12.5% 31.7 35.4
25 Kalashnikov AK-47 584,349 69,627 2,753,422 10,157 19,721 9.3332 11.9% 39.5 29.6




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
2 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
3 Bundeswehr Advanced Combat Knife 53 24.5% 67.9% 7.5%
4 Fusil Automatique 214 22.0% 63.6% 14.5%
5 H&K UMP45 269 26.4% 53.5% 20.1%
6 FN Five-Seven 344 23.3% 62.5% 14.2%
7 Steyr Aug 428 27.8% 57.2% 15.0%
8 Galil 500 28.8% 55.6% 15.6%
9 Steyr Tactical Machine Pistol 502 25.7% 63.1% 11.2%
10 Ingram MAC-10 844 26.4% 58.4% 15.2%
11 Glock 18 Select Fire 905 26.4% 62.3% 11.3%
12 H&K MP5-Navy 905 28.4% 56.8% 14.8%
13 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
14 H&K USP .45 Tactical 934 24.9% 62.8% 12.2%
15 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
16 Arctic Warfare Magnum (Police) 3,487 32.5% 57.7% 9.8%
17 Sig Sauer SG-552 Commando 4,978 28.7% 56.0% 15.3%
18 Sig Sauer P-228 5,229 28.6% 57.7% 13.7%
19 Benelli M3 Super 90 Combat 5,847 29.6% 57.3% 13.1%
20 M249 PARA Light Machine Gun 8,759 28.3% 57.1% 14.6%
21 FN P90 8,793 28.0% 56.4% 15.6%
22 Steyr Scout 14,309 26.4% 64.9% 8.7%
23 Desert Eagle .50AE 18,252 26.2% 61.6% 12.2%
24 Colt M4A1 Carbine 51,825 27.8% 59.2% 13.0%
25 Kalashnikov AK-47 69,627 27.1% 59.1% 13.8%


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 / 366942 * 100, 2) AS kpercent,
			ROUND(headshots / 141541 * 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