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

Banner
  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 84.11%
Members: 18 active members (75 total)
Avg. Member Points: 12,418
Total Kills: 239,769
Total Deaths: 204,148
Avg. Kills: 13,321
Kills per Death: 1.17
Kills per Minute: 0.64
Total Connection Time: 261d 11:30:53h
Avg. Connection Time: 14d 12:38:22h
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




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 12,526 times 12,526
2 Pick up the Bomb 11,225 times 22,450
3 Round MVP 8,566 times 0
4 Drop the Bomb 6,707 times -13414
5 Double Kill (2 kills) 4,985 times 4,985
6 Plant the Bomb 1,808 times 18,080
7 Domination 1,476 times 7,380
8 Triple Kill (3 kills) 1,082 times 2,164
9 Revenge 781 times 2,343
10 Start Defusing the Bomb With a Defuse Kit 300 times 0
11 Defuse the Bomb 247 times 2,470
12 Domination (4 kills) 167 times 501
13 Start Defusing the Bomb Without a Defuse Kit 22 times 0
14 Rampage (5 kills) 13 times 52




  Victims of Player-Player Actions *

Rank Action Times Victimized Points Bonus sort-descending.gif
1 Revenge 930 times -2790
2 Domination 1,173 times -5865




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 1,426 times 27.01%
2 Counter-Terrorist 1,127 times 21.35%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk sort-descending.gif
1 Glock 18 Select Fire 1.40 28 0.01% 19 0.02% 0.68
2 Steyr Scout 1.10 3,382 1.41% 2,138 2.60% 0.63
3 Desert Eagle .50AE 1.20 3,298 1.38% 1,902 2.31% 0.58
4 Kalashnikov AK-47 1.00 7,553 3.15% 4,044 4.92% 0.54
5 H&K USP .45 Tactical 1.40 49 0.02% 25 0.03% 0.51
6 H&K UMP45 1.20 4 0.00% 2 0.00% 0.50
7 Steyr Aug 1.00 20 0.01% 10 0.01% 0.50
8 Sig Sauer SG-552 Commando 1.00 67 0.03% 32 0.04% 0.48
9 M249 PARA Light Machine Gun 1.20 1,151 0.48% 557 0.68% 0.48
10 Colt M4A1 Carbine 1.00 5,741 2.39% 2,616 3.18% 0.46
11 Dual Beretta 96G Elite 1.40 106 0.04% 49 0.06% 0.46
12 Benelli M3 Super 90 Combat 1.20 279 0.12% 125 0.15% 0.45
13 FN P90 1.20 1,003 0.42% 439 0.53% 0.44
14 Sig Sauer P-228 1.50 735 0.31% 325 0.40% 0.44
15 Fusil Automatique 1.00 27 0.01% 12 0.01% 0.44
16 Ingram MAC-10 1.50 14 0.01% 6 0.01% 0.43
17 Galil 1.10 81 0.03% 35 0.04% 0.43
18 FN Five-Seven 1.50 38 0.02% 16 0.02% 0.42
19 H&K MP5-Navy 1.20 13 0.01% 5 0.01% 0.38
20 Steyr Tactical Machine Pistol 1.50 25 0.01% 9 0.01% 0.36
21 Benelli/H&K M4 Super 90 XM1014 1.10 6 0.00% 2 0.00% 0.33
22 Arctic Warfare Magnum (Police) 1.00 830 0.35% 158 0.19% 0.19
23 Bundeswehr Advanced Combat Knife 2.00 812 0.34% 0 0.00% 0.00
24 High Explosive Grenade 1.80 1,248 0.52% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 346,210 28,638 1,087,946 4,045 7,552 9.0988 8.3% 38.0 45.8
2 Colt M4A1 Carbine 188,634 24,919 797,921 2,616 5,742 13.2000 13.2% 32.0 32.9
3 Steyr Scout 28,370 8,186 768,695 2,138 3,383 2.0515 28.9% 93.9 8.4
4 Desert Eagle .50AE 37,189 9,169 478,403 1,900 3,296 3.8460 24.7% 52.2 11.3
5 M249 PARA Light Machine Gun 52,234 4,270 160,352 557 1,151 16.4429 8.2% 37.6 45.4
6 FN P90 36,143 5,489 129,572 439 1,003 17.5965 15.2% 23.6 36.0
7 Arctic Warfare Magnum (Police) 3,435 1,152 161,042 158 830 5.1875 33.5% 139.8 4.1
8 Sig Sauer P-228 19,246 3,041 92,429 325 735 23.7097 15.8% 30.4 26.2
9 Benelli M3 Super 90 Combat 1,382 2,732 39,076 125 279 1.7329 197.7% 14.3 5.0
10 Bundeswehr Advanced Combat Knife 4,323 563 30,634 0 194 1.3379 13.0% 54.4 22.3
11 Dual Beretta 96G Elite 2,754 537 14,435 49 105 105.0000 19.5% 26.9 26.2
12 Galil 1,887 322 11,368 35 81 81.0000 17.1% 35.3 23.3
13 Sig Sauer SG-552 Commando 1,675 336 9,938 32 67 67.0000 20.1% 29.6 25.0
14 H&K USP .45 Tactical 2,251 363 6,835 25 49 49.0000 16.1% 18.8 45.9
15 FN Five-Seven 781 202 5,292 16 38 38.0000 25.9% 26.2 20.6
16 Glock 18 Select Fire 2,201 279 5,090 19 28 28.0000 12.7% 18.2 78.6
17 Fusil Automatique 599 108 3,456 12 27 27.0000 18.0% 32.0 22.2
18 Steyr Tactical Machine Pistol 1,418 186 3,087 9 25 25.0000 13.1% 16.6 56.7
19 Steyr Aug 527 97 3,222 10 20 6.6667 18.4% 33.2 26.4
20 Ingram MAC-10 618 107 2,071 6 14 14.0000 17.3% 19.4 44.1
21 H&K MP5-Navy 571 110 1,792 5 13 13.0000 19.3% 16.3 43.9
22 Benelli/H&K M4 Super 90 XM1014 94 95 1,069 2 6 6.0000 101.1% 11.3 15.7
23 H&K UMP45 231 36 676 2 4 4.0000 15.6% 18.8 57.8




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 28,638 27.8% 57.8% 14.4%
2 Colt M4A1 Carbine 24,919 27.9% 59.0% 13.0%
3 Desert Eagle .50AE 9,169 26.6% 61.7% 11.7%
4 Steyr Scout 8,186 27.1% 64.0% 8.9%
5 FN P90 5,489 27.2% 56.4% 16.3%
6 M249 PARA Light Machine Gun 4,270 28.4% 56.3% 15.3%
7 Sig Sauer P-228 3,041 27.8% 58.5% 13.8%
8 Benelli M3 Super 90 Combat 2,732 29.7% 58.5% 11.9%
9 Arctic Warfare Magnum (Police) 1,152 31.3% 58.1% 10.6%
10 Dual Beretta 96G Elite 537 25.5% 63.9% 10.6%
11 H&K USP .45 Tactical 363 25.9% 60.9% 13.2%
12 Sig Sauer SG-552 Commando 336 30.4% 54.5% 15.2%
13 Galil 322 24.8% 61.8% 13.4%
14 Glock 18 Select Fire 279 25.4% 64.5% 10.0%
15 FN Five-Seven 202 21.3% 63.9% 14.9%
16 Steyr Tactical Machine Pistol 186 23.7% 63.4% 12.9%
17 H&K MP5-Navy 110 30.0% 57.3% 12.7%
18 Fusil Automatique 108 23.1% 64.8% 12.0%
19 Ingram MAC-10 107 25.2% 57.0% 17.8%
20 Steyr Aug 97 27.8% 62.9% 9.3%
21 Benelli/H&K M4 Super 90 XM1014 95 27.4% 62.1% 10.5%
22 H&K UMP45 36 36.1% 47.2% 16.7%
23 Bundeswehr Advanced Combat Knife 26 38.5% 53.8% 7.7%


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 / 239769 * 100, 2) AS kpercent,
			ROUND(headshots / 82267 * 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