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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.03%
Members: 29 active members (75 total)
Avg. Member Points: 11,649
Total Kills: 346,697
Total Deaths: 298,072
Avg. Kills: 11,955
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 387d 18:57:13h
Avg. Connection Time: 13d 08:55:45h
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 19.91% 31,407 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.11% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.19% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,689 5d 13:22:18h 6,658 1.92% 4,466 1.49
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 5.55% 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 12.15% 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 5.06% 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 4.00% 13,411 1.03
14  Germany«★»Andy«★» elorank 10,510 2d 20:41:44h 2,913 0.84% 2,267 1.28
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.78% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,963 3d 12:02:46h 3,320 0.96% 3,500 0.95
17  Russian federationBISON elorank 9,931 8d 09:56:41h 5,524 1.59% 8,347 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 5.77% 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) 450 times 1,350
8 Defuse the Bomb 497 times 4,970
9 Start Defusing the Bomb With a Defuse Kit 690 times 0
10 Revenge 1,648 times 4,944
11 Triple Kill (3 kills) 2,538 times 5,076
12 Domination 3,291 times 16,455
13 Plant the Bomb 4,717 times 47,170
14 Double Kill (2 kills) 10,647 times 10,647
15 Drop the Bomb 12,499 times -24998
16 Round MVP 16,796 times 0
17 Pick up the Bomb 22,542 times 45,084
18 Headshot 26,649 times 26,649




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,649 times -13245
2 Revenge 1,929 times -5787




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,117 times 27.95%
2 Counter-Terrorist 2,400 times 21.52%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-ascending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
3 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
4 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
5 Steyr Tactical Machine Pistol 1.50 59 0.02% 30 0.02% 0.51
6 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
7 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
8 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
9 H&K MP5-Navy 1.20 105 0.03% 46 0.04% 0.44
10 Ingram MAC-10 1.50 119 0.03% 59 0.04% 0.50
11 Galil 1.10 120 0.03% 50 0.04% 0.42
12 H&K USP .45 Tactical 1.40 134 0.04% 67 0.05% 0.50
13 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 0.46
14 Benelli M3 Super 90 Combat 1.20 635 0.18% 267 0.20% 0.42
15 Sig Sauer SG-552 Commando 1.00 961 0.28% 425 0.32% 0.44
16 Sig Sauer P-228 1.50 1,250 0.36% 529 0.40% 0.42
17 FN P90 1.20 1,554 0.45% 689 0.52% 0.44
18 Bundeswehr Advanced Combat Knife 2.00 1,649 0.48% 2 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 2,165 0.62% 1,057 0.81% 0.49
20 Arctic Warfare Magnum (Police) 1.00 2,400 0.69% 397 0.30% 0.17
21 High Explosive Grenade 1.80 2,483 0.72% 0 0.00% 0.00
22 Steyr Scout 1.10 5,841 1.68% 3,677 2.80% 0.63
23 Desert Eagle .50AE 1.20 6,416 1.85% 3,586 2.73% 0.56
24 Colt M4A1 Carbine 1.00 11,638 3.36% 5,254 4.00% 0.45
25 Kalashnikov AK-47 1.00 19,121 5.52% 9,692 7.38% 0.51




  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 1,360 334 8,810 29 60 30.0000 24.6% 26.4 22.7
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 5,193 901 15,897 50 103 6.8667 17.4% 17.6 50.4
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 3,410 500 16,691 50 120 60.0000 14.7% 33.4 28.4
13 H&K USP .45 Tactical 5,128 930 19,158 66 133 10.2308 18.1% 20.6 38.6
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 12,044 1,157 60,502 2 403 1.7446 9.6% 52.3 29.9
16 Benelli M3 Super 90 Combat 2,859 5,776 83,550 267 635 2.1309 202.0% 14.5 4.5
17 Sig Sauer SG-552 Commando 74,072 4,965 143,358 438 977 37.5769 6.7% 28.9 75.8
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 76,882 8,789 205,959 689 1,554 10.1569 11.4% 23.4 49.5
20 M249 PARA Light Machine Gun 112,780 8,350 314,431 1,109 2,223 13.3916 7.4% 37.7 50.7
21 Arctic Warfare Magnum (Police) 10,029 3,468 466,604 404 2,408 5.0695 34.6% 134.5 4.2
22 Steyr Scout 46,893 14,065 1,346,415 3,670 5,835 2.3934 30.0% 95.7 8.0
23 Desert Eagle .50AE 69,868 18,040 939,224 3,620 6,456 4.3681 25.8% 52.1 10.8
24 Colt M4A1 Carbine 412,270 51,465 1,633,952 5,251 11,635 10.9146 12.5% 31.7 35.4
25 Kalashnikov AK-47 582,223 69,347 2,742,940 10,120 19,649 9.3344 11.9% 39.6 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 334 23.7% 62.0% 14.4%
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 901 26.5% 62.2% 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 930 25.1% 62.7% 12.3%
15 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
16 Arctic Warfare Magnum (Police) 3,468 32.6% 57.6% 9.8%
17 Sig Sauer SG-552 Commando 4,965 28.8% 55.9% 15.3%
18 Sig Sauer P-228 5,229 28.6% 57.7% 13.7%
19 Benelli M3 Super 90 Combat 5,776 29.6% 57.4% 13.0%
20 M249 PARA Light Machine Gun 8,350 28.3% 57.3% 14.5%
21 FN P90 8,789 28.0% 56.4% 15.6%
22 Steyr Scout 14,040 26.4% 64.9% 8.7%
23 Desert Eagle .50AE 18,040 26.2% 61.7% 12.2%
24 Colt M4A1 Carbine 51,465 27.8% 59.1% 13.0%
25 Kalashnikov AK-47 69,347 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 / 346697 * 100, 2) AS kpercent,
			ROUND(headshots / 131291 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map asc,
			kills asc