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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 70.60%
Members: 30 active members (76 total)
Avg. Member Points: 11,719
Total Kills: 360,169
Total Deaths: 310,786
Avg. Kills: 12,006
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 400d 21:06:09h
Avg. Connection Time: 13d 08:42:12h
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 33,577 47d 00:25:35h 69,203 19.21% 31,506 2.20
2  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.86% 1,465 2.12
3  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.99% 5,572 1.93
4  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.34% 12,180 1.58
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.53% 15,929 1.48
6  Russian federationубивашка 62 elorank 17,474 6d 08:15:18h 7,593 2.11% 5,171 1.47
7  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.30% 775 1.38
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.19% 3,263 1.31
9  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.81% 2,272 1.28
10  Russian federationИлья190RUS elorank 13,040 3d 22:14:37h 4,105 1.14% 3,569 1.15
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.87% 15,207 1.15
12  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.21% 10,412 1.11
13  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 11.70% 38,713 1.09
14  Russian federationslayer71 elorank 10,841 9d 15:04:09h 10,423 2.89% 9,594 1.09
15  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.23% 754 1.08
16  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 6.92% 24,192 1.03
17  Russian federationStanislav752 elorank 10,751 16d 12:57:17h 13,487 3.74% 13,150 1.03
18  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.85% 13,411 1.03
19  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.13% 471 1.02
20  Russian federationShalfeYka elorank 11,110 2d 11:18:45h 2,174 0.60% 2,180 1.00


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Pick up the Bomb 21,632 times 43,264
2 Plant the Bomb 4,241 times 42,410
3 Headshot 25,375 times 25,375
4 Domination 3,105 times 15,525
5 Double Kill (2 kills) 10,206 times 10,206
6 Defuse the Bomb 491 times 4,910
7 Revenge 1,619 times 4,857
8 Triple Kill (3 kills) 2,391 times 4,782
9 Domination (4 kills) 410 times 1,230
10 Rampage (5 kills) 45 times 180
11 Mega Kill (6 kills) 5 times 25
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 58 times 0
15 Start Defusing the Bomb With a Defuse Kit 661 times 0
16 Round MVP 16,165 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 12,249 times -24498




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,601 times -13005
2 Revenge 1,820 times -5460




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 2,956 times 27.60%
2 Counter-Terrorist 2,352 times 21.96%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 17,235 4.79% 8,830 6.36% 0.51
2 Colt M4A1 Carbine 1.00 10,912 3.03% 4,981 3.59% 0.46
3 Desert Eagle .50AE 1.20 6,642 1.84% 3,802 2.74% 0.57
4 Steyr Scout 1.10 6,021 1.67% 3,843 2.77% 0.64
5 High Explosive Grenade 1.80 2,355 0.65% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 2,333 0.65% 1,140 0.82% 0.49
7 Arctic Warfare Magnum (Police) 1.00 2,223 0.62% 375 0.27% 0.17
8 FN P90 1.20 1,675 0.47% 738 0.53% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,612 0.45% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,303 0.36% 559 0.40% 0.43
11 Sig Sauer SG-552 Commando 1.00 880 0.24% 388 0.28% 0.44
12 Benelli M3 Super 90 Combat 1.20 563 0.16% 244 0.18% 0.43
13 Dual Beretta 96G Elite 1.40 217 0.06% 101 0.07% 0.47
14 H&K USP .45 Tactical 1.40 127 0.04% 67 0.05% 0.53
15 Galil 1.10 113 0.03% 47 0.03% 0.42
16 H&K MP5-Navy 1.20 106 0.03% 46 0.03% 0.43
17 Glock 18 Select Fire 1.40 96 0.03% 45 0.03% 0.47
18 Ingram MAC-10 1.50 78 0.02% 35 0.03% 0.45
19 Steyr Aug 1.00 64 0.02% 33 0.02% 0.52
20 FN Five-Seven 1.50 62 0.02% 31 0.02% 0.50
21 Benelli/H&K M4 Super 90 XM1014 1.10 61 0.02% 21 0.02% 0.34
22 Steyr Tactical Machine Pistol 1.50 54 0.01% 26 0.02% 0.48
23 Fusil Automatique 1.00 43 0.01% 20 0.01% 0.47
24 H&K UMP45 1.20 33 0.01% 16 0.01% 0.48
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-47 557,697 62,052 2,425,248 8,822 17,224 8.8193 11.1% 39.1 32.4
2 Colt M4A1 Carbine 377,319 48,087 1,532,147 4,978 10,909 11.3873 12.7% 31.9 34.6
3 M249 PARA Light Machine Gun 118,499 8,832 329,347 1,141 2,334 13.2614 7.5% 37.3 50.8
4 FN P90 81,545 9,449 221,094 738 1,675 11.0197 11.6% 23.4 48.7
5 Desert Eagle .50AE 71,542 18,539 969,829 3,799 6,638 4.2661 25.9% 52.3 10.8
6 Sig Sauer SG-552 Commando 66,960 4,441 128,188 388 881 38.3043 6.6% 28.9 76.0
7 Steyr Scout 48,897 14,491 1,383,460 3,836 6,015 2.3117 29.6% 95.5 8.1
8 Sig Sauer P-228 35,210 5,548 170,164 559 1,303 21.3607 15.8% 30.7 27.0
9 Bundeswehr Advanced Combat Knife 11,490 1,087 57,139 2 379 1.7227 9.5% 52.6 30.3
10 Arctic Warfare Magnum (Police) 9,331 3,209 430,542 375 2,222 4.9051 34.4% 134.2 4.2
11 Dual Beretta 96G Elite 5,418 1,075 30,055 101 217 72.3333 19.8% 28.0 25.0
12 Glock 18 Select Fire 5,066 870 14,723 44 94 6.2667 17.2% 16.9 53.9
13 H&K MP5-Navy 5,041 915 15,355 45 104 10.4000 18.2% 16.8 48.5
14 H&K USP .45 Tactical 4,931 919 18,670 66 126 9.6923 18.6% 20.3 39.1
15 Steyr Tactical Machine Pistol 3,144 421 7,532 25 53 53.0000 13.4% 17.9 59.3
16 Galil 3,035 461 15,563 47 113 56.5000 15.2% 33.8 26.9
17 Steyr Aug 2,714 354 10,572 34 65 9.2857 13.0% 29.9 41.8
18 Ingram MAC-10 2,663 478 8,849 34 75 75.0000 17.9% 18.5 35.5
19 Benelli M3 Super 90 Combat 2,659 5,267 75,974 244 563 1.9617 198.1% 14.4 4.7
20 H&K UMP45 2,049 260 5,206 16 32 16.0000 12.7% 20.0 64.0
21 FN Five-Seven 1,354 335 9,070 32 63 31.5000 24.7% 27.1 21.5
22 Fusil Automatique 1,165 192 6,104 19 41 41.0000 16.5% 31.8 28.4
23 Benelli/H&K M4 Super 90 XM1014 1,153 747 8,781 21 61 12.2000 64.8% 11.8 18.9
24 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0
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 62,052 27.3% 58.7% 14.0%
2 Colt M4A1 Carbine 48,087 27.8% 59.1% 13.0%
3 Desert Eagle .50AE 18,539 26.2% 61.9% 11.9%
4 Steyr Scout 14,466 26.4% 65.0% 8.7%
5 FN P90 9,449 28.0% 56.2% 15.8%
6 M249 PARA Light Machine Gun 8,832 28.0% 57.1% 14.9%
7 Sig Sauer P-228 5,548 28.7% 57.6% 13.6%
8 Benelli M3 Super 90 Combat 5,267 29.9% 57.1% 12.9%
9 Sig Sauer SG-552 Commando 4,441 29.2% 55.5% 15.3%
10 Arctic Warfare Magnum (Police) 3,209 32.8% 57.3% 9.9%
11 Dual Beretta 96G Elite 1,075 25.0% 61.3% 13.7%
12 H&K USP .45 Tactical 919 25.5% 61.3% 13.3%
13 H&K MP5-Navy 915 28.3% 57.0% 14.6%
14 Glock 18 Select Fire 870 26.9% 61.5% 11.6%
15 Benelli/H&K M4 Super 90 XM1014 747 26.8% 56.1% 17.1%
16 Ingram MAC-10 478 25.5% 60.5% 14.0%
17 Galil 461 28.9% 56.4% 14.8%
18 Steyr Tactical Machine Pistol 421 25.4% 63.7% 10.9%
19 Steyr Aug 354 27.4% 56.2% 16.4%
20 FN Five-Seven 335 23.6% 62.7% 13.7%
21 H&K UMP45 260 25.0% 54.2% 20.8%
22 Fusil Automatique 192 23.4% 62.5% 14.1%
23 Bundeswehr Advanced Combat Knife 52 25.0% 65.4% 9.6%
24 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
25 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 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 / 360169 * 100, 2) AS kpercent,
			ROUND(headshots / 138834 * 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