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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 02:03:49h
Avg. Connection Time: 14d 01:43:34h
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 18.39% 31,407 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.87% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.64% 24,192 1.03
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.67% 16,883 1.93
5  Russian federationубивашка 62 elorank 17,068 5d 03:53:45h 6,156 1.64% 4,171 1.48
6  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.08% 10,412 1.11
7  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.13% 12,180 1.58
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.14% 3,263 1.31
9  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 11.23% 38,689 1.09
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.83% 1,465 2.12
11  Russian federationИлья190RUS elorank 12,501 3d 16:45:37h 3,873 1.03% 3,361 1.15
12  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.68% 15,207 1.15
13  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.45% 12,310 1.05
14  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.69% 13,411 1.03
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.26% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,292 3d 10:16:59h 3,267 0.87% 3,432 0.95
17  Russian federationShalfeYka elorank 10,238 1d 22:48:31h 1,696 0.45% 1,717 0.99
18  Russian federationBISON elorank 9,885 8d 02:54:59h 5,337 1.42% 8,042 0.66
19  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.19% 5,036 0.88
20  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.31% 22,106 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) 49 times 196
6 Start Defusing the Bomb Without a Defuse Kit 66 times 0
7 Domination (4 kills) 456 times 1,368
8 Defuse the Bomb 504 times 5,040
9 Start Defusing the Bomb With a Defuse Kit 702 times 0
10 Revenge 1,665 times 4,995
11 Triple Kill (3 kills) 2,607 times 5,214
12 Domination 3,376 times 16,880
13 Plant the Bomb 4,806 times 48,060
14 Double Kill (2 kills) 10,822 times 10,822
15 Drop the Bomb 12,807 times -25614
16 Round MVP 17,129 times 0
17 Pick up the Bomb 22,997 times 45,994
18 Headshot 27,060 times 27,060




  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 28.13%
2 Counter-Terrorist 2,414 times 21.34%




  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 45 0.01% 22 0.02% 0.49
4 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
5 Steyr Tactical Machine Pistol 1.50 60 0.02% 30 0.02% 0.50
6 Benelli/H&K M4 Super 90 XM1014 1.10 79 0.02% 28 0.02% 0.35
7 Steyr Aug 1.00 86 0.02% 42 0.03% 0.49
8 Glock 18 Select Fire 1.40 104 0.03% 51 0.04% 0.49
9 H&K MP5-Navy 1.20 105 0.03% 45 0.03% 0.43
10 Ingram MAC-10 1.50 118 0.03% 59 0.04% 0.50
11 Galil 1.10 124 0.03% 53 0.04% 0.43
12 H&K USP .45 Tactical 1.40 137 0.04% 71 0.05% 0.52
13 Dual Beretta 96G Elite 1.40 222 0.06% 101 0.07% 0.45
14 Benelli M3 Super 90 Combat 1.20 640 0.17% 269 0.19% 0.42
15 Sig Sauer SG-552 Commando 1.00 985 0.26% 440 0.31% 0.45
16 Sig Sauer P-228 1.50 1,285 0.34% 541 0.39% 0.42
17 FN P90 1.20 1,504 0.40% 665 0.47% 0.44
18 Bundeswehr Advanced Combat Knife 2.00 1,690 0.45% 2 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 2,106 0.56% 1,033 0.74% 0.49
20 Arctic Warfare Magnum (Police) 1.00 2,405 0.64% 391 0.28% 0.16
21 High Explosive Grenade 1.80 2,512 0.67% 0 0.00% 0.00
22 Steyr Scout 1.10 5,764 1.54% 3,601 2.57% 0.62
23 Desert Eagle .50AE 1.20 6,418 1.71% 3,591 2.56% 0.56
24 Colt M4A1 Carbine 1.00 11,693 3.12% 5,275 3.76% 0.45
25 Kalashnikov AK-47 1.00 20,054 5.34% 10,171 7.25% 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 2,045 267 5,399 16 33 16.5000 13.1% 20.2 62.0
4 Fusil Automatique 1,149 203 6,396 21 43 43.0000 17.7% 31.5 26.7
5 Steyr Tactical Machine Pistol 4,020 508 9,032 29 59 59.0000 12.6% 17.8 68.1
6 FN Five-Seven 1,285 334 8,810 29 60 30.0000 26.0% 26.4 21.4
7 Benelli/H&K M4 Super 90 XM1014 1,381 966 11,390 28 79 15.8000 69.9% 11.8 17.5
8 Steyr Aug 3,149 449 13,373 43 87 12.4286 14.3% 29.8 36.2
9 Glock 18 Select Fire 5,080 889 15,686 50 102 6.8000 17.5% 17.6 49.8
10 H&K MP5-Navy 4,946 901 15,000 44 103 11.4444 18.2% 16.6 48.0
11 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
12 Galil 3,678 527 17,463 53 124 62.0000 14.3% 33.1 29.7
13 H&K USP .45 Tactical 5,235 937 19,529 70 136 10.4615 17.9% 20.8 38.5
14 Dual Beretta 96G Elite 5,481 1,099 30,508 101 222 74.0000 20.1% 27.8 24.7
15 Bundeswehr Advanced Combat Knife 12,401 1,213 63,327 2 423 1.7552 9.8% 52.2 29.3
16 Benelli M3 Super 90 Combat 2,897 5,830 84,533 269 640 2.0712 201.2% 14.5 4.5
17 Sig Sauer SG-552 Commando 74,664 5,069 146,883 453 1,001 38.5000 6.8% 29.0 74.6
18 Sig Sauer P-228 34,311 5,319 164,181 541 1,285 23.7963 15.5% 30.9 26.7
19 FN P90 75,232 8,518 199,258 665 1,504 10.1622 11.3% 23.4 50.0
20 M249 PARA Light Machine Gun 110,616 8,139 307,230 1,085 2,164 13.0361 7.4% 37.7 51.1
21 Arctic Warfare Magnum (Police) 10,087 3,490 466,201 398 2,413 5.0587 34.6% 133.6 4.2
22 Steyr Scout 46,348 13,925 1,328,584 3,594 5,758 2.4193 30.0% 95.4 8.0
23 Desert Eagle .50AE 69,338 17,960 938,321 3,625 6,458 4.3992 25.9% 52.2 10.7
24 Colt M4A1 Carbine 418,103 51,790 1,643,812 5,272 11,690 10.9150 12.4% 31.7 35.8
25 Kalashnikov AK-47 611,256 72,512 2,873,855 10,599 20,582 9.1435 11.9% 39.6 29.7




  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 59 22.0% 71.2% 6.8%
4 Fusil Automatique 203 22.2% 64.5% 13.3%
5 H&K UMP45 267 25.1% 55.1% 19.9%
6 FN Five-Seven 334 23.7% 62.0% 14.4%
7 Steyr Aug 449 27.8% 57.0% 15.1%
8 Steyr Tactical Machine Pistol 508 26.2% 62.6% 11.2%
9 Galil 527 28.3% 55.2% 16.5%
10 Ingram MAC-10 826 26.6% 59.0% 14.4%
11 Glock 18 Select Fire 889 26.2% 62.4% 11.4%
12 H&K MP5-Navy 901 28.6% 56.6% 14.8%
13 H&K USP .45 Tactical 937 25.1% 62.6% 12.3%
14 Benelli/H&K M4 Super 90 XM1014 966 27.3% 56.3% 16.4%
15 Dual Beretta 96G Elite 1,099 24.9% 61.5% 13.6%
16 Arctic Warfare Magnum (Police) 3,490 32.7% 57.4% 9.9%
17 Sig Sauer SG-552 Commando 5,069 28.8% 56.0% 15.2%
18 Sig Sauer P-228 5,319 28.8% 57.5% 13.7%
19 Benelli M3 Super 90 Combat 5,830 29.5% 57.6% 13.0%
20 M249 PARA Light Machine Gun 8,139 28.3% 57.2% 14.4%
21 FN P90 8,518 28.1% 56.3% 15.6%
22 Steyr Scout 13,900 26.4% 64.9% 8.7%
23 Desert Eagle .50AE 17,960 26.3% 61.7% 12.0%
24 Colt M4A1 Carbine 51,790 27.8% 59.3% 13.0%
25 Kalashnikov AK-47 72,512 27.2% 59.1% 13.7%


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