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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.57%
Members: 35 active members (75 total)
Avg. Member Points: 11,196
Total Kills: 394,615
Total Deaths: 327,687
Avg. Kills: 11,275
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 427d 10:30:50h
Avg. Connection Time: 12d 05:06:01h
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 34,028 46d 20:02:00h 68,946 17.47% 31,366 2.20
2  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.79% 1,465 2.12
3  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.73% 5,572 1.93
4  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.24% 16,883 1.93
5  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 4.88% 12,180 1.58
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 5.96% 15,929 1.48
7  Russian federationубивашка 62 elorank 15,754 4d 11:09:17h 5,238 1.33% 3,672 1.43
8  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.27% 775 1.38
9  Russian federationХЗкак elorank 9,277 5d 06:29:14h 5,800 1.47% 4,395 1.32
10  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.08% 3,263 1.31
11  UkraineDo1zzy elorank 16,540 8d 07:06:48h 8,372 2.12% 6,594 1.27
12  Russian federation-=(ROMBIK)=-=(DDR)=- elorank 7,763 4d 20:28:50h 5,225 1.32% 4,319 1.21
13  Russian federationИлья190RUS elorank 12,528 3d 16:10:37h 3,856 0.98% 3,327 1.16
14  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.45% 15,207 1.15
15  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 2.93% 10,412 1.11
16  Russian federationKAZANTIP elorank 12,701 49d 21:12:27h 42,010 10.65% 38,583 1.09
17  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.21% 754 1.08
18  Russian federationStanislav752 elorank 10,874 15d 03:18:13h 12,560 3.18% 11,886 1.06
19  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.32% 24,192 1.03
20  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.51% 13,411 1.03


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 5,446 times 54,460
2 Pick up the Bomb 25,062 times 50,124
3 Headshot 30,136 times 30,136
4 Domination 3,619 times 18,095
5 Double Kill (2 kills) 11,553 times 11,553
6 Triple Kill (3 kills) 2,827 times 5,654
7 Defuse the Bomb 540 times 5,400
8 Revenge 1,785 times 5,355
9 Domination (4 kills) 503 times 1,509
10 Rampage (5 kills) 53 times 212
11 Mega Kill (6 kills) 4 times 20
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 74 times 0
15 Start Defusing the Bomb With a Defuse Kit 740 times 0
16 Round MVP 18,406 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 13,715 times -27430




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,886 times -14430
2 Revenge 2,153 times -6459




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,394 times 27.98%
2 Counter-Terrorist 2,592 times 21.37%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 21,755 5.51% 10,927 7.28% 0.50
2 Colt M4A1 Carbine 1.00 12,414 3.15% 5,586 3.72% 0.45
3 Desert Eagle .50AE 1.20 6,802 1.72% 3,702 2.47% 0.54
4 Steyr Scout 1.10 6,603 1.67% 4,015 2.68% 0.61
5 Arctic Warfare Magnum (Police) 1.00 2,841 0.72% 464 0.31% 0.16
6 High Explosive Grenade 1.80 2,713 0.69% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,086 0.53% 1,037 0.69% 0.50
8 Bundeswehr Advanced Combat Knife 2.00 1,676 0.42% 2 0.00% 0.00
9 FN P90 1.20 1,471 0.37% 654 0.44% 0.44
10 Sig Sauer P-228 1.50 1,266 0.32% 526 0.35% 0.42
11 Sig Sauer SG-552 Commando 1.00 1,028 0.26% 455 0.30% 0.44
12 Benelli M3 Super 90 Combat 1.20 797 0.20% 320 0.21% 0.40
13 Dual Beretta 96G Elite 1.40 222 0.06% 101 0.07% 0.45
14 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
15 Galil 1.10 125 0.03% 52 0.03% 0.42
16 Ingram MAC-10 1.50 122 0.03% 61 0.04% 0.50
17 Glock 18 Select Fire 1.40 114 0.03% 54 0.04% 0.47
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 86 0.02% 41 0.03% 0.48
20 Benelli/H&K M4 Super 90 XM1014 1.10 81 0.02% 29 0.02% 0.36
21 Steyr Tactical Machine Pistol 1.50 59 0.01% 31 0.02% 0.53
22 FN Five-Seven 1.50 58 0.01% 28 0.02% 0.48
23 Fusil Automatique 1.00 40 0.01% 18 0.01% 0.45
24 H&K UMP45 1.20 35 0.01% 16 0.01% 0.46
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 Damage per Hit sort-descending.gif Shots per Kill
1 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
2 Arctic Warfare Magnum (Police) 11,731 4,081 548,150 471 2,849 5.3153 34.8% 134.3 4.1
3 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
4 Steyr Scout 54,159 16,191 1,549,181 4,071 6,708 2.5593 29.9% 95.7 8.1
5 Desert Eagle .50AE 75,348 19,821 1,037,738 4,026 7,183 4.5261 26.3% 52.4 10.5
6 Bundeswehr Advanced Combat Knife 21,624 1,315 68,205 2 451 1.5714 6.1% 51.9 47.9
7 Kalashnikov AK-47 649,277 80,955 3,243,282 12,246 23,421 9.4707 12.5% 40.1 27.7
8 M249 PARA Light Machine Gun 109,772 8,266 315,969 1,151 2,235 13.7963 7.5% 38.2 49.1
9 Galil 3,713 534 17,592 52 125 62.5000 14.4% 32.9 29.7
10 Colt M4A1 Carbine 439,523 54,962 1,739,060 5,590 12,418 10.6960 12.5% 31.6 35.4
11 Sig Sauer P-228 32,118 5,159 160,429 526 1,266 23.0182 16.1% 31.1 25.4
12 Fusil Automatique 1,081 192 5,897 17 38 38.0000 17.8% 30.7 28.4
13 Steyr Aug 3,150 449 13,317 41 86 12.2857 14.3% 29.7 36.6
14 Sig Sauer SG-552 Commando 75,795 5,246 152,579 468 1,044 37.2857 6.9% 29.1 72.6
15 Dual Beretta 96G Elite 5,481 1,099 30,508 101 222 74.0000 20.1% 27.8 24.7
16 FN Five-Seven 1,383 381 10,110 37 70 35.0000 27.5% 26.5 19.8
17 FN P90 74,448 8,415 196,513 654 1,471 9.9392 11.3% 23.4 50.6
18 H&K USP .45 Tactical 5,648 1,007 20,954 72 147 10.5000 17.8% 20.8 38.4
19 H&K UMP45 2,052 270 5,449 16 34 17.0000 13.2% 20.2 60.4
20 Ingram MAC-10 5,114 864 15,804 60 119 29.7500 16.9% 18.3 43.0
21 Steyr Tactical Machine Pistol 3,871 492 8,827 31 59 59.0000 12.7% 17.9 65.6
22 Glock 18 Select Fire 5,469 985 17,083 53 112 7.4667 18.0% 17.3 48.8
23 H&K MP5-Navy 4,887 886 14,719 43 100 11.1111 18.1% 16.6 48.9
24 Benelli M3 Super 90 Combat 3,532 7,223 102,730 320 797 2.3304 204.5% 14.2 4.4
25 Benelli/H&K M4 Super 90 XM1014 1,430 1,000 11,659 29 81 16.2000 69.9% 11.7 17.7




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 80,955 26.7% 59.8% 13.5%
2 Colt M4A1 Carbine 54,962 27.7% 59.2% 13.0%
3 Desert Eagle .50AE 19,821 25.8% 62.0% 12.1%
4 Steyr Scout 16,166 26.2% 65.0% 8.8%
5 FN P90 8,415 28.1% 56.4% 15.5%
6 M249 PARA Light Machine Gun 8,266 28.0% 57.9% 14.1%
7 Benelli M3 Super 90 Combat 7,223 29.1% 58.0% 13.0%
8 Sig Sauer SG-552 Commando 5,246 28.8% 56.0% 15.1%
9 Sig Sauer P-228 5,159 29.1% 57.1% 13.8%
10 Arctic Warfare Magnum (Police) 4,081 32.4% 57.7% 9.9%
11 Dual Beretta 96G Elite 1,099 24.9% 61.5% 13.6%
12 H&K USP .45 Tactical 1,007 24.3% 62.9% 12.8%
13 Benelli/H&K M4 Super 90 XM1014 1,000 27.1% 56.6% 16.3%
14 Glock 18 Select Fire 985 26.1% 61.5% 12.4%
15 H&K MP5-Navy 886 28.6% 56.5% 14.9%
16 Ingram MAC-10 864 26.7% 58.9% 14.4%
17 Galil 534 27.9% 55.4% 16.7%
18 Steyr Tactical Machine Pistol 492 25.4% 63.0% 11.6%
19 Steyr Aug 449 28.3% 56.8% 14.9%
20 FN Five-Seven 381 21.0% 65.6% 13.4%
21 H&K UMP45 270 24.8% 55.2% 20.0%
22 Fusil Automatique 192 20.3% 64.1% 15.6%
23 Bundeswehr Advanced Combat Knife 63 22.2% 73.0% 4.8%
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 / 394615 * 100, 2) AS kpercent,
			ROUND(headshots / 150023 * 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