HLstatsX Community Edition
  • Contents
  • Search
  • SourceBans
  • Forum
  • Help

Banner
  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 72.71%
Members: 28 active members (75 total)
Avg. Member Points: 11,782
Total Kills: 326,920
Total Deaths: 285,924
Avg. Kills: 11,676
Kills per Death: 1.14
Kills per Minute: 0.61
Total Connection Time: 369d 18:24:08h
Avg. Connection Time: 13d 04:56:34h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank sort-ascending.gif Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.15% 471 1.02
2  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.25% 754 1.08
3  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.33% 775 1.38
4  Russian federationSprut elorank 9,375 2d 05:42:28h 1,789 0.55% 2,289 0.78
5  Russian federationShalfeYka elorank 11,380 2d 16:48:56h 2,405 0.74% 2,405 1.00
6  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.89% 2,272 1.28
7  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.95% 1,465 2.12
8  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.37% 5,052 0.89
9  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,215 3d 17:40:00h 3,607 1.10% 3,748 0.96
10  Russian federationИлья190RUS elorank 12,888 3d 22:58:03h 4,124 1.26% 3,600 1.15
11  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.31% 3,263 1.31
12  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.53% 11,872 0.42
13  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.83% 8,932 0.67
14  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.81% 7,910 0.75
15  Russian federation⇜Ṧ†êrvå⇝ elorank 9,416 6d 14:41:22h 4,769 1.46% 6,249 0.76
16  Russian federationубивашка 62 elorank 17,740 6d 10:11:03h 7,701 2.36% 5,238 1.47
17  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.83% 14,654 0.63
18  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.30% 5,572 1.93
19  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 4.25% 13,456 1.03
20  Russian federationStanislav752 elorank 10,220 16d 16:42:50h 13,590 4.16% 13,252 1.03


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) 3 times 15
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 42 times 168
6 Start Defusing the Bomb Without a Defuse Kit 57 times 0
7 Domination (4 kills) 367 times 1,101
8 Defuse the Bomb 466 times 4,660
9 Start Defusing the Bomb With a Defuse Kit 621 times 0
10 Revenge 1,525 times 4,575
11 Triple Kill (3 kills) 2,238 times 4,476
12 Domination 2,906 times 14,530
13 Plant the Bomb 3,928 times 39,280
14 Double Kill (2 kills) 9,559 times 9,559
15 Drop the Bomb 11,662 times -23324
16 Round MVP 15,275 times 0
17 Pick up the Bomb 20,512 times 41,024
18 Headshot 23,732 times 23,732




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,422 times -12110
2 Revenge 1,707 times -5121




  Team Selection *

Rank Team sort-ascending.gif Joined Percentage of Times %
1 Counter-Terrorist 2,222 times 22.02%
2 Terrorist 2,779 times 27.53%




  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 27 0.01% 13 0.01% 0.48
3 Fusil Automatique 1.00 42 0.01% 20 0.02% 0.48
4 Benelli/H&K M4 Super 90 XM1014 1.10 50 0.02% 18 0.01% 0.36
5 Steyr Tactical Machine Pistol 1.50 53 0.02% 25 0.02% 0.47
6 FN Five-Seven 1.50 60 0.02% 30 0.02% 0.50
7 H&K MP5-Navy 1.20 64 0.02% 28 0.02% 0.44
8 Steyr Aug 1.00 66 0.02% 32 0.03% 0.48
9 Ingram MAC-10 1.50 70 0.02% 29 0.02% 0.41
10 Glock 18 Select Fire 1.40 94 0.03% 44 0.04% 0.47
11 Galil 1.10 107 0.03% 45 0.04% 0.42
12 H&K USP .45 Tactical 1.40 123 0.04% 65 0.05% 0.53
13 Dual Beretta 96G Elite 1.40 211 0.06% 100 0.08% 0.47
14 Benelli M3 Super 90 Combat 1.20 530 0.16% 230 0.19% 0.43
15 Sig Sauer SG-552 Commando 1.00 837 0.26% 366 0.30% 0.44
16 Sig Sauer P-228 1.50 1,288 0.39% 552 0.45% 0.43
17 Bundeswehr Advanced Combat Knife 2.00 1,576 0.48% 2 0.00% 0.00
18 FN P90 1.20 1,678 0.51% 738 0.61% 0.44
19 Arctic Warfare Magnum (Police) 1.00 2,059 0.63% 348 0.29% 0.17
20 M249 PARA Light Machine Gun 1.20 2,168 0.66% 1,036 0.85% 0.48
21 High Explosive Grenade 1.80 2,221 0.68% 0 0.00% 0.00
22 Steyr Scout 1.10 5,553 1.70% 3,484 2.86% 0.63
23 Desert Eagle .50AE 1.20 5,995 1.83% 3,418 2.81% 0.57
24 Colt M4A1 Carbine 1.00 10,480 3.21% 4,818 3.96% 0.46
25 Kalashnikov AK-47 1.00 16,082 4.92% 8,306 6.83% 0.52




  Weapon Stats *

Rank Weapon Shots Hits sort-ascending.gif Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0
2 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
3 Fusil Automatique 1,131 183 5,877 19 40 40.0000 16.2% 32.1 28.3
4 H&K UMP45 1,884 228 4,556 13 26 13.0000 12.1% 20.0 72.5
5 FN Five-Seven 1,333 332 8,934 31 61 30.5000 24.9% 26.9 21.9
6 Steyr Aug 2,594 352 10,619 33 67 8.3750 13.6% 30.2 38.7
7 Steyr Tactical Machine Pistol 3,092 415 7,357 24 52 52.0000 13.4% 17.7 59.5
8 Galil 2,843 432 14,735 45 107 53.5000 15.2% 34.1 26.6
9 Ingram MAC-10 2,512 444 7,921 28 67 67.0000 17.7% 17.8 37.5
10 H&K MP5-Navy 2,562 574 9,662 27 62 12.4000 22.4% 16.8 41.3
11 Benelli/H&K M4 Super 90 XM1014 1,017 619 7,334 18 50 10.0000 60.9% 11.8 20.3
12 Glock 18 Select Fire 4,987 838 14,324 43 92 6.1333 16.8% 17.1 54.2
13 H&K USP .45 Tactical 4,784 893 18,043 64 122 9.3846 18.7% 20.2 39.2
14 Dual Beretta 96G Elite 5,226 1,039 29,309 100 211 70.3333 19.9% 28.2 24.8
15 Bundeswehr Advanced Combat Knife 10,776 1,122 59,527 2 388 1.6033 10.4% 53.1 27.8
16 Arctic Warfare Magnum (Police) 8,713 2,979 399,946 348 2,060 4.9879 34.2% 134.3 4.2
17 Sig Sauer SG-552 Commando 62,571 4,191 121,079 366 838 36.4348 6.7% 28.9 74.7
18 Benelli M3 Super 90 Combat 2,531 5,025 72,549 230 530 1.8662 198.5% 14.4 4.8
19 Sig Sauer P-228 34,800 5,504 168,638 552 1,288 21.4667 15.8% 30.6 27.0
20 M249 PARA Light Machine Gun 113,476 8,246 304,718 1,037 2,169 12.9880 7.3% 37.0 52.3
21 FN P90 81,373 9,474 221,560 738 1,678 10.9673 11.6% 23.4 48.5
22 Steyr Scout 45,533 13,515 1,273,964 3,477 5,547 2.2855 29.7% 94.3 8.2
23 Desert Eagle .50AE 65,492 16,727 873,081 3,415 5,991 4.0978 25.5% 52.2 10.9
24 Colt M4A1 Carbine 359,429 46,199 1,472,910 4,815 10,477 11.5640 12.9% 31.9 34.3
25 Kalashnikov AK-47 521,813 57,888 2,266,605 8,298 16,071 8.8157 11.1% 39.2 32.5




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 0.0%
2 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
3 Bundeswehr Advanced Combat Knife 46 23.9% 69.6% 6.5%
4 Fusil Automatique 183 22.4% 63.4% 14.2%
5 H&K UMP45 228 24.1% 54.8% 21.1%
6 FN Five-Seven 332 23.8% 61.7% 14.5%
7 Steyr Aug 352 27.6% 57.1% 15.3%
8 Steyr Tactical Machine Pistol 415 25.5% 63.4% 11.1%
9 Galil 432 28.0% 57.2% 14.8%
10 Ingram MAC-10 444 25.5% 60.4% 14.2%
11 H&K MP5-Navy 574 27.2% 57.5% 15.3%
12 Benelli/H&K M4 Super 90 XM1014 619 29.2% 53.0% 17.8%
13 Glock 18 Select Fire 838 26.5% 61.8% 11.7%
14 H&K USP .45 Tactical 893 25.5% 61.4% 13.1%
15 Dual Beretta 96G Elite 1,039 24.8% 61.6% 13.6%
16 Arctic Warfare Magnum (Police) 2,979 32.8% 57.2% 10.0%
17 Sig Sauer SG-552 Commando 4,191 29.3% 55.6% 15.1%
18 Benelli M3 Super 90 Combat 5,025 30.0% 57.1% 12.9%
19 Sig Sauer P-228 5,504 28.7% 57.6% 13.7%
20 M249 PARA Light Machine Gun 8,246 28.3% 56.6% 15.0%
21 FN P90 9,474 28.0% 56.2% 15.8%
22 Steyr Scout 13,490 26.6% 64.5% 8.9%
23 Desert Eagle .50AE 16,727 26.3% 61.6% 12.1%
24 Colt M4A1 Carbine 46,199 27.8% 59.1% 13.1%
25 Kalashnikov AK-47 57,888 27.3% 58.7% 14.0%


Targets
The hitbox display requires Adobe Flash Player to view.
Show total target statistics


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 / 326920 * 100, 2) AS kpercent,
			ROUND(headshots / 121694 * 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