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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.82%
Members: 29 active members (74 total)
Avg. Member Points: 11,872
Total Kills: 374,512
Total Deaths: 311,022
Avg. Kills: 12,914
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 407d 06:33:26h
Avg. Connection Time: 14d 01:03:13h
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 18.43% 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 2.88% 5,572 1.93
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.69% 16,883 1.93
5  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.14% 12,180 1.58
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.28% 15,929 1.48
7  Russian federationубивашка 62 elorank 16,701 4d 20:23:20h 5,768 1.54% 3,955 1.46
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 12,528 3d 16:10:37h 3,856 1.03% 3,327 1.16
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.69% 15,207 1.15
12  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.09% 10,412 1.11
13  Russian federationKAZANTIP elorank 12,983 50d 00:01:58h 42,120 11.25% 38,689 1.09
14  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
15  Russian federationStanislav752 elorank 10,974 15d 08:22:52h 12,733 3.40% 12,058 1.06
16  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.65% 24,192 1.03
17  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.70% 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-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) 50 times 200
6 Start Defusing the Bomb Without a Defuse Kit 69 times 0
7 Domination (4 kills) 465 times 1,395
8 Defuse the Bomb 510 times 5,100
9 Start Defusing the Bomb With a Defuse Kit 707 times 0
10 Revenge 1,692 times 5,076
11 Triple Kill (3 kills) 2,661 times 5,322
12 Domination 3,426 times 17,130
13 Plant the Bomb 4,935 times 49,350
14 Double Kill (2 kills) 10,908 times 10,908
15 Drop the Bomb 12,984 times -25968
16 Round MVP 17,322 times 0
17 Pick up the Bomb 23,412 times 46,824
18 Headshot 27,912 times 27,912




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,715 times -13575
2 Revenge 2,020 times -6060




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,194 times 28.05%
2 Counter-Terrorist 2,428 times 21.32%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 20,512 5.48% 10,340 7.39% 0.50
2 Colt M4A1 Carbine 1.00 11,894 3.18% 5,368 3.83% 0.45
3 Desert Eagle .50AE 1.20 6,379 1.70% 3,580 2.56% 0.56
4 Steyr Scout 1.10 5,772 1.54% 3,602 2.57% 0.62
5 High Explosive Grenade 1.80 2,529 0.68% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,451 0.65% 394 0.28% 0.16
7 M249 PARA Light Machine Gun 1.20 2,109 0.56% 1,042 0.74% 0.49
8 Bundeswehr Advanced Combat Knife 2.00 1,651 0.44% 2 0.00% 0.00
9 FN P90 1.20 1,501 0.40% 662 0.47% 0.44
10 Sig Sauer P-228 1.50 1,257 0.34% 526 0.38% 0.42
11 Sig Sauer SG-552 Commando 1.00 985 0.26% 440 0.31% 0.45
12 Benelli M3 Super 90 Combat 1.20 713 0.19% 293 0.21% 0.41
13 Dual Beretta 96G Elite 1.40 222 0.06% 101 0.07% 0.45
14 H&K USP .45 Tactical 1.40 138 0.04% 71 0.05% 0.51
15 Galil 1.10 126 0.03% 53 0.04% 0.42
16 Ingram MAC-10 1.50 118 0.03% 59 0.04% 0.50
17 Glock 18 Select Fire 1.40 104 0.03% 51 0.04% 0.49
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 84 0.02% 40 0.03% 0.48
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 59 0.02% 30 0.02% 0.51
22 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
23 Fusil Automatique 1.00 40 0.01% 19 0.01% 0.48
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 Hits Damage Headshots Kills Kills per Death Accuracy sort-descending.gif Damage per Hit Shots per Kill
1 Benelli M3 Super 90 Combat 3,108 6,389 91,983 293 713 2.2635 205.6% 14.4 4.4
2 Benelli/H&K M4 Super 90 XM1014 1,380 957 11,304 28 79 15.8000 69.3% 11.8 17.5
3 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
4 Arctic Warfare Magnum (Police) 10,310 3,565 474,530 401 2,459 5.0701 34.6% 133.1 4.2
5 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
6 Steyr Scout 46,267 13,937 1,332,680 3,602 5,784 2.4550 30.1% 95.6 8.0
7 Desert Eagle .50AE 69,496 18,211 956,949 3,752 6,582 4.4293 26.2% 52.5 10.6
8 FN Five-Seven 1,285 334 8,810 29 60 30.0000 26.0% 26.4 21.4
9 Dual Beretta 96G Elite 5,481 1,099 30,508 101 222 74.0000 20.1% 27.8 24.7
10 H&K MP5-Navy 4,887 886 14,719 43 100 11.1111 18.1% 16.6 48.9
11 H&K USP .45 Tactical 5,284 945 19,666 70 137 10.5385 17.9% 20.8 38.6
12 Glock 18 Select Fire 5,078 888 15,675 50 102 6.8000 17.5% 17.7 49.8
13 Fusil Automatique 1,057 184 5,718 18 38 38.0000 17.4% 31.1 27.8
14 Ingram MAC-10 4,920 827 15,206 58 115 28.7500 16.8% 18.4 42.8
15 Sig Sauer P-228 32,314 5,118 159,100 526 1,257 23.2778 15.8% 31.1 25.7
16 Galil 3,713 533 17,625 53 126 63.0000 14.4% 33.1 29.5
17 Steyr Aug 3,141 445 13,081 41 85 12.1429 14.2% 29.4 37.0
18 H&K UMP45 2,045 267 5,399 16 33 16.5000 13.1% 20.2 62.0
19 Steyr Tactical Machine Pistol 3,927 487 8,760 29 58 58.0000 12.4% 18.0 67.7
20 Colt M4A1 Carbine 427,092 52,822 1,673,391 5,365 11,891 10.8198 12.4% 31.7 35.9
21 Kalashnikov AK-47 623,191 75,235 2,994,851 11,170 21,556 9.2595 12.1% 39.8 28.9
22 FN P90 75,133 8,510 198,839 662 1,501 10.1419 11.3% 23.4 50.1
23 Bundeswehr Advanced Combat Knife 12,617 1,263 64,665 2 429 1.7092 10.0% 51.2 29.4
24 M249 PARA Light Machine Gun 109,999 8,127 308,233 1,100 2,173 13.1697 7.4% 37.9 50.6
25 Sig Sauer SG-552 Commando 74,722 5,073 146,990 453 1,001 38.5000 6.8% 29.0 74.6




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 75,235 26.9% 59.5% 13.7%
2 Colt M4A1 Carbine 52,822 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 18,211 25.9% 62.1% 11.9%
4 Steyr Scout 13,912 26.5% 64.9% 8.6%
5 FN P90 8,510 28.1% 56.3% 15.6%
6 M249 PARA Light Machine Gun 8,127 28.2% 57.4% 14.4%
7 Benelli M3 Super 90 Combat 6,389 29.1% 57.8% 13.1%
8 Sig Sauer P-228 5,118 29.0% 57.1% 13.9%
9 Sig Sauer SG-552 Commando 5,073 28.8% 56.0% 15.3%
10 Arctic Warfare Magnum (Police) 3,565 32.8% 57.4% 9.8%
11 Dual Beretta 96G Elite 1,099 24.9% 61.5% 13.6%
12 Benelli/H&K M4 Super 90 XM1014 957 27.3% 56.4% 16.3%
13 H&K USP .45 Tactical 945 25.0% 62.8% 12.3%
14 Glock 18 Select Fire 888 26.1% 62.5% 11.4%
15 H&K MP5-Navy 886 28.6% 56.5% 14.9%
16 Ingram MAC-10 827 26.6% 59.0% 14.4%
17 Galil 533 28.0% 55.3% 16.7%
18 Steyr Tactical Machine Pistol 487 25.7% 62.8% 11.5%
19 Steyr Aug 445 28.3% 56.6% 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 184 20.1% 66.3% 13.6%
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 / 374512 * 100, 2) AS kpercent,
			ROUND(headshots / 139991 * 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