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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.62%
Members: 29 active members (74 total)
Avg. Member Points: 11,877
Total Kills: 375,255
Total Deaths: 311,698
Avg. Kills: 12,940
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 408d 02:02:39h
Avg. Connection Time: 14d 01:43:32h
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 Kpd sort-descending.gif
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,787 46d 21:12:43h 69,011 18.39% 31,407 2.20
2  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.83% 1,465 2.12
3  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.87% 5,572 1.93
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.67% 16,883 1.93
5  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.13% 12,180 1.58
6  Russian federationубивашка 62 elorank 17,068 5d 03:53:45h 6,156 1.64% 4,171 1.48
7  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.26% 15,929 1.48
8  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.28% 775 1.38
9  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.14% 3,263 1.31
10  Russian federationИлья190RUS elorank 12,501 3d 16:45:37h 3,873 1.03% 3,361 1.15
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.68% 15,207 1.15
12  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.08% 10,412 1.11
13  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 11.23% 38,689 1.09
14  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
15  Russian federationStanislav752 elorank 10,883 15d 14:46:40h 12,949 3.45% 12,310 1.05
16  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.64% 24,192 1.03
17  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.69% 13,411 1.03
18  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.13% 471 1.02
19  Russian federationShalfeYka elorank 10,238 1d 22:48:31h 1,696 0.45% 1,717 0.99
20  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,292 3d 10:16:59h 3,267 0.87% 3,432 0.95


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 27,060 times 27,060
2 Pick up the Bomb 22,997 times 45,994
3 Round MVP 17,129 times 0
4 Drop the Bomb 12,807 times -25614
5 Double Kill (2 kills) 10,821 times 10,821
6 Plant the Bomb 4,806 times 48,060
7 Domination 3,376 times 16,880
8 Triple Kill (3 kills) 2,607 times 5,214
9 Revenge 1,665 times 4,995
10 Start Defusing the Bomb With a Defuse Kit 702 times 0
11 Defuse the Bomb 504 times 5,040
12 Domination (4 kills) 456 times 1,368
13 Start Defusing the Bomb Without a Defuse Kit 66 times 0
14 Rampage (5 kills) 49 times 196
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 sort-descending.gif Times Victimized Points Bonus
1 Revenge 1,972 times -5916
2 Domination 2,682 times -13410




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,181 times 28.14%
2 Counter-Terrorist 2,413 times 21.34%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 20,054 5.34% 10,171 7.25% 0.51
2 Colt M4A1 Carbine 1.00 11,693 3.12% 5,275 3.76% 0.45
3 Desert Eagle .50AE 1.20 6,418 1.71% 3,591 2.56% 0.56
4 Steyr Scout 1.10 5,764 1.54% 3,601 2.57% 0.62
5 High Explosive Grenade 1.80 2,512 0.67% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,405 0.64% 391 0.28% 0.16
7 M249 PARA Light Machine Gun 1.20 2,106 0.56% 1,033 0.74% 0.49
8 Bundeswehr Advanced Combat Knife 2.00 1,690 0.45% 2 0.00% 0.00
9 FN P90 1.20 1,504 0.40% 665 0.47% 0.44
10 Sig Sauer P-228 1.50 1,285 0.34% 541 0.39% 0.42
11 Sig Sauer SG-552 Commando 1.00 985 0.26% 440 0.31% 0.45
12 Benelli M3 Super 90 Combat 1.20 640 0.17% 269 0.19% 0.42
13 Dual Beretta 96G Elite 1.40 222 0.06% 101 0.07% 0.45
14 H&K USP .45 Tactical 1.40 137 0.04% 71 0.05% 0.52
15 Galil 1.10 124 0.03% 53 0.04% 0.43
16 Ingram MAC-10 1.50 118 0.03% 59 0.04% 0.50
17 H&K MP5-Navy 1.20 105 0.03% 45 0.03% 0.43
18 Glock 18 Select Fire 1.40 104 0.03% 51 0.04% 0.49
19 Steyr Aug 1.00 86 0.02% 42 0.03% 0.49
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 60 0.02% 30 0.02% 0.50
22 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
23 Fusil Automatique 1.00 45 0.01% 22 0.02% 0.49
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 sort-descending.gif Hits Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 611,256 72,512 2,873,855 10,599 20,582 9.1435 11.9% 39.6 29.7
2 Colt M4A1 Carbine 418,103 51,790 1,643,812 5,272 11,690 10.9150 12.4% 31.7 35.8
3 M249 PARA Light Machine Gun 110,616 8,139 307,230 1,085 2,164 13.0361 7.4% 37.7 51.1
4 FN P90 75,232 8,518 199,258 665 1,504 10.1622 11.3% 23.4 50.0
5 Sig Sauer SG-552 Commando 74,664 5,069 146,883 453 1,001 38.5000 6.8% 29.0 74.6
6 Desert Eagle .50AE 69,329 17,958 938,172 3,624 6,457 4.3985 25.9% 52.2 10.7
7 Steyr Scout 46,348 13,925 1,328,584 3,594 5,758 2.4193 30.0% 95.4 8.0
8 Sig Sauer P-228 34,311 5,319 164,181 541 1,285 23.7963 15.5% 30.9 26.7
9 Bundeswehr Advanced Combat Knife 12,401 1,213 63,327 2 423 1.7552 9.8% 52.2 29.3
10 Arctic Warfare Magnum (Police) 10,087 3,490 466,201 398 2,413 5.0587 34.6% 133.6 4.2
11 Dual Beretta 96G Elite 5,481 1,099 30,508 101 222 74.0000 20.1% 27.8 24.7
12 H&K USP .45 Tactical 5,235 937 19,529 70 136 10.4615 17.9% 20.8 38.5
13 Glock 18 Select Fire 5,080 889 15,686 50 102 6.8000 17.5% 17.6 49.8
14 H&K MP5-Navy 4,946 901 15,000 44 103 11.4444 18.2% 16.6 48.0
15 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
16 Steyr Tactical Machine Pistol 4,020 508 9,032 29 59 59.0000 12.6% 17.8 68.1
17 Galil 3,678 527 17,463 53 124 62.0000 14.3% 33.1 29.7
18 Steyr Aug 3,149 449 13,373 43 87 12.4286 14.3% 29.8 36.2
19 Benelli M3 Super 90 Combat 2,897 5,830 84,533 269 640 2.0712 201.2% 14.5 4.5
20 H&K UMP45 2,045 267 5,399 16 33 16.5000 13.1% 20.2 62.0
21 Benelli/H&K M4 Super 90 XM1014 1,381 966 11,390 28 79 15.8000 69.9% 11.8 17.5
22 FN Five-Seven 1,285 334 8,810 29 60 30.0000 26.0% 26.4 21.4
23 Fusil Automatique 1,149 203 6,396 21 43 43.0000 17.7% 31.5 26.7
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 72,512 27.2% 59.1% 13.7%
2 Colt M4A1 Carbine 51,790 27.8% 59.3% 13.0%
3 Desert Eagle .50AE 17,958 26.3% 61.7% 12.0%
4 Steyr Scout 13,900 26.4% 64.9% 8.7%
5 FN P90 8,518 28.1% 56.3% 15.6%
6 M249 PARA Light Machine Gun 8,139 28.3% 57.2% 14.4%
7 Benelli M3 Super 90 Combat 5,830 29.5% 57.6% 13.0%
8 Sig Sauer P-228 5,319 28.8% 57.5% 13.7%
9 Sig Sauer SG-552 Commando 5,069 28.8% 56.0% 15.2%
10 Arctic Warfare Magnum (Police) 3,490 32.7% 57.4% 9.9%
11 Dual Beretta 96G Elite 1,099 24.9% 61.5% 13.6%
12 Benelli/H&K M4 Super 90 XM1014 966 27.3% 56.3% 16.4%
13 H&K USP .45 Tactical 937 25.1% 62.6% 12.3%
14 H&K MP5-Navy 901 28.6% 56.6% 14.8%
15 Glock 18 Select Fire 889 26.2% 62.4% 11.4%
16 Ingram MAC-10 826 26.6% 59.0% 14.4%
17 Galil 527 28.3% 55.2% 16.5%
18 Steyr Tactical Machine Pistol 508 26.2% 62.6% 11.2%
19 Steyr Aug 449 27.8% 57.0% 15.1%
20 FN Five-Seven 334 23.7% 62.0% 14.4%
21 H&K UMP45 267 25.1% 55.1% 19.9%
22 Fusil Automatique 203 22.2% 64.5% 13.3%
23 Bundeswehr Advanced Combat Knife 59 22.0% 71.2% 6.8%
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 / 375255 * 100, 2) AS kpercent,
			ROUND(headshots / 140321 * 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