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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 72.14%
Members: 28 active members (74 total)
Avg. Member Points: 11,455
Total Kills: 340,834
Total Deaths: 294,503
Avg. Kills: 12,173
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 383d 07:18:20h
Avg. Connection Time: 13d 16:32:47h
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 33,656 46d 22:33:01h 69,099 20.27% 31,444 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.16% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.31% 24,192 1.03
4  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.39% 10,412 1.11
5  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.65% 12,180 1.58
6  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.37% 38,713 1.09
7  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.25% 3,263 1.31
8  Russian federationИлья190RUS elorank 12,777 3d 20:42:14h 4,029 1.18% 3,507 1.15
9  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.91% 1,465 2.12
10  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.15% 15,207 1.15
11  Russian federationStanislav752 elorank 10,674 15d 19:13:00h 12,976 3.81% 12,411 1.05
12  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 4.07% 13,411 1.03
13  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.86% 2,272 1.28
14  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.90% 15,929 1.48
15  Russian federationShalfeYka elorank 10,199 2d 03:39:42h 1,889 0.55% 1,883 1.00
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,194 3d 14:42:30h 3,449 1.01% 3,630 0.95
17  Russian federationBISON elorank 10,189 8d 18:11:16h 5,762 1.69% 8,673 0.66
18  Russian federationavpvovan elorank 9,850 5d 20:54:08h 4,459 1.31% 5,044 0.88
19  Russian federationSprut elorank 9,466 2d 05:32:07h 1,786 0.52% 2,281 0.78
20  Russian federationLoony elorank 9,426 30d 12:35:17h 20,062 5.89% 22,263 0.90


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-ascending.gif
1 Drop the Bomb 11,730 times -23460
2 Kill a Hostage 18 times -270
3 Round MVP 14,277 times 0
4 Start Defusing the Bomb With a Defuse Kit 534 times 0
5 Start Defusing the Bomb Without a Defuse Kit 44 times 0
6 Touch a Hostage 4 times 0
7 Rescue a Hostage 1 times 5
8 Mega Kill (6 kills) 2 times 10
9 Rampage (5 kills) 41 times 164
10 Domination (4 kills) 377 times 1,131
11 Defuse the Bomb 355 times 3,550
12 Triple Kill (3 kills) 2,149 times 4,298
13 Revenge 1,508 times 4,524
14 Double Kill (2 kills) 9,054 times 9,054
15 Domination 2,768 times 13,840
16 Headshot 22,723 times 22,723
17 Pick up the Bomb 21,086 times 42,172
18 Plant the Bomb 4,322 times 43,220




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,435 times -12175
2 Revenge 1,609 times -4827




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 2,851 times 29.04%
2 Counter-Terrorist 1,974 times 20.11%




  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 Fusil Automatique 1.00 21 0.01% 8 0.01% 0.38
3 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
4 Steyr Tactical Machine Pistol 1.50 44 0.01% 24 0.02% 0.55
5 Steyr Aug 1.00 55 0.02% 27 0.02% 0.49
6 FN Five-Seven 1.50 61 0.02% 32 0.02% 0.52
7 Benelli/H&K M4 Super 90 XM1014 1.10 66 0.02% 25 0.02% 0.38
8 Glock 18 Select Fire 1.40 99 0.03% 46 0.04% 0.46
9 Ingram MAC-10 1.50 99 0.03% 45 0.04% 0.45
10 H&K MP5-Navy 1.20 99 0.03% 42 0.03% 0.42
11 Galil 1.10 117 0.03% 48 0.04% 0.41
12 H&K USP .45 Tactical 1.40 125 0.04% 65 0.05% 0.52
13 Dual Beretta 96G Elite 1.40 218 0.06% 101 0.08% 0.46
14 Benelli M3 Super 90 Combat 1.20 582 0.17% 245 0.19% 0.42
15 Sig Sauer SG-552 Commando 1.00 938 0.28% 419 0.33% 0.45
16 Sig Sauer P-228 1.50 1,222 0.36% 519 0.40% 0.42
17 Bundeswehr Advanced Combat Knife 2.00 1,308 0.38% 2 0.00% 0.00
18 FN P90 1.20 1,525 0.45% 673 0.52% 0.44
19 High Explosive Grenade 1.80 1,916 0.56% 0 0.00% 0.00
20 Arctic Warfare Magnum (Police) 1.00 2,104 0.62% 322 0.25% 0.15
21 M249 PARA Light Machine Gun 1.20 2,157 0.63% 1,041 0.81% 0.48
22 Desert Eagle .50AE 1.20 5,069 1.49% 2,726 2.13% 0.54
23 Steyr Scout 1.10 5,108 1.50% 3,073 2.40% 0.60
24 Colt M4A1 Carbine 1.00 9,298 2.73% 4,105 3.20% 0.44
25 Kalashnikov AK-47 1.00 17,058 5.00% 8,572 6.68% 0.50




  Weapon Stats *

Rank Weapon Shots Hits sort-ascending.gif Damage Headshots Kills 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 Fusil Automatique 626 104 3,201 7 19 19.0000 16.6% 30.8 32.9
4 H&K UMP45 2,069 269 5,346 16 33 16.5000 13.0% 19.9 62.7
5 Steyr Aug 2,352 301 9,038 28 56 14.0000 12.8% 30.0 42.0
6 FN Five-Seven 1,260 329 8,986 33 62 31.0000 26.1% 27.3 20.3
7 Steyr Tactical Machine Pistol 2,159 362 6,467 23 43 43.0000 16.8% 17.9 50.2
8 Galil 3,357 490 16,209 48 117 58.5000 14.6% 33.1 28.7
9 Ingram MAC-10 3,499 654 12,215 44 96 48.0000 18.7% 18.7 36.4
10 H&K USP .45 Tactical 4,471 810 17,179 64 124 9.5385 18.1% 21.2 36.1
11 Benelli/H&K M4 Super 90 XM1014 1,246 810 9,555 25 66 13.2000 65.0% 11.8 18.9
12 H&K MP5-Navy 4,673 844 14,037 41 97 10.7778 18.1% 16.6 48.2
13 Glock 18 Select Fire 5,074 877 15,070 45 97 6.4667 17.3% 17.2 52.3
14 Bundeswehr Advanced Combat Knife 11,442 1,063 54,353 2 361 1.6261 9.3% 51.1 31.7
15 Dual Beretta 96G Elite 5,558 1,090 30,109 101 218 72.6667 19.6% 27.6 25.5
16 Arctic Warfare Magnum (Police) 9,096 3,070 402,712 329 2,112 5.1387 33.8% 131.2 4.3
17 Sig Sauer SG-552 Commando 73,389 4,816 139,664 432 954 43.3636 6.6% 29.0 76.9
18 Sig Sauer P-228 33,164 5,136 158,193 519 1,222 22.2182 15.5% 30.8 27.1
19 Benelli M3 Super 90 Combat 2,643 5,281 76,890 245 582 2.0421 199.8% 14.6 4.5
20 M249 PARA Light Machine Gun 113,259 8,331 313,209 1,093 2,215 11.7196 7.4% 37.6 51.1
21 FN P90 76,117 8,674 202,917 673 1,525 10.0329 11.4% 23.4 49.9
22 Steyr Scout 42,065 12,308 1,163,398 3,070 5,106 2.4607 29.3% 94.5 8.2
23 Desert Eagle .50AE 55,386 14,219 734,615 2,763 5,112 4.0668 25.7% 51.7 10.8
24 Colt M4A1 Carbine 342,579 41,771 1,313,412 4,106 9,302 10.9953 12.2% 31.4 36.8
25 Kalashnikov AK-47 533,740 61,995 2,446,472 9,001 17,589 9.9711 11.6% 39.5 30.3




  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 48 25.0% 66.7% 8.3%
4 Fusil Automatique 104 21.2% 65.4% 13.5%
5 H&K UMP45 269 26.4% 53.5% 20.1%
6 Steyr Aug 301 27.6% 55.5% 16.9%
7 FN Five-Seven 329 22.8% 62.3% 14.9%
8 Steyr Tactical Machine Pistol 362 26.8% 63.5% 9.7%
9 Galil 490 29.2% 55.7% 15.1%
10 Ingram MAC-10 654 26.8% 58.9% 14.4%
11 H&K USP .45 Tactical 810 24.0% 62.2% 13.8%
12 Benelli/H&K M4 Super 90 XM1014 810 26.3% 57.0% 16.7%
13 H&K MP5-Navy 844 29.4% 56.2% 14.5%
14 Glock 18 Select Fire 877 26.7% 61.8% 11.5%
15 Dual Beretta 96G Elite 1,090 25.2% 61.0% 13.8%
16 Arctic Warfare Magnum (Police) 3,070 32.7% 57.3% 10.0%
17 Sig Sauer SG-552 Commando 4,816 28.8% 55.8% 15.4%
18 Sig Sauer P-228 5,136 28.7% 57.6% 13.6%
19 Benelli M3 Super 90 Combat 5,281 29.9% 57.6% 12.5%
20 M249 PARA Light Machine Gun 8,331 28.2% 57.0% 14.8%
21 FN P90 8,674 28.0% 56.4% 15.6%
22 Steyr Scout 12,283 26.6% 64.5% 8.9%
23 Desert Eagle .50AE 14,219 26.4% 60.8% 12.8%
24 Colt M4A1 Carbine 41,771 28.2% 58.4% 13.4%
25 Kalashnikov AK-47 61,995 27.1% 59.0% 13.9%


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 / 340834 * 100, 2) AS kpercent,
			ROUND(headshots / 128278 * 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