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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 83.77%
Members: 18 active members (75 total)
Avg. Member Points: 12,385
Total Kills: 239,594
Total Deaths: 204,042
Avg. Kills: 13,311
Kills per Death: 1.17
Kills per Minute: 0.64
Total Connection Time: 261d 08:34:21h
Avg. Connection Time: 14d 12:28:34h
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 sort-descending.gif Kpd




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 12,415 times 12,415
2 Pick up the Bomb 11,151 times 22,302
3 Round MVP 8,506 times 0
4 Drop the Bomb 6,674 times -13348
5 Double Kill (2 kills) 4,948 times 4,948
6 Plant the Bomb 1,773 times 17,730
7 Domination 1,468 times 7,340
8 Triple Kill (3 kills) 1,074 times 2,148
9 Revenge 779 times 2,337
10 Start Defusing the Bomb With a Defuse Kit 299 times 0
11 Defuse the Bomb 246 times 2,460
12 Domination (4 kills) 165 times 495
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 924 times -2772
2 Domination 1,171 times -5855




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 1,422 times 27.02%
2 Counter-Terrorist 1,123 times 21.34%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 7,500 3.13% 4,013 4.88% 0.54
2 Colt M4A1 Carbine 1.00 5,721 2.39% 2,607 3.17% 0.46
3 Steyr Scout 1.10 3,313 1.38% 2,083 2.54% 0.63
4 Desert Eagle .50AE 1.20 3,279 1.37% 1,890 2.30% 0.58
5 High Explosive Grenade 1.80 1,241 0.52% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 1,149 0.48% 556 0.68% 0.48
7 FN P90 1.20 1,002 0.42% 438 0.53% 0.44
8 Arctic Warfare Magnum (Police) 1.00 830 0.35% 158 0.19% 0.19
9 Bundeswehr Advanced Combat Knife 2.00 810 0.34% 0 0.00% 0.00
10 Sig Sauer P-228 1.50 735 0.31% 325 0.40% 0.44
11 Benelli M3 Super 90 Combat 1.20 279 0.12% 125 0.15% 0.45
12 Dual Beretta 96G Elite 1.40 105 0.04% 48 0.06% 0.46
13 Galil 1.10 81 0.03% 35 0.04% 0.43
14 Sig Sauer SG-552 Commando 1.00 67 0.03% 32 0.04% 0.48
15 H&K USP .45 Tactical 1.40 49 0.02% 25 0.03% 0.51
16 FN Five-Seven 1.50 38 0.02% 16 0.02% 0.42
17 Glock 18 Select Fire 1.40 27 0.01% 18 0.02% 0.67
18 Fusil Automatique 1.00 27 0.01% 12 0.01% 0.44
19 Steyr Tactical Machine Pistol 1.50 25 0.01% 9 0.01% 0.36
20 Steyr Aug 1.00 20 0.01% 10 0.01% 0.50
21 Ingram MAC-10 1.50 14 0.01% 6 0.01% 0.43
22 H&K MP5-Navy 1.20 13 0.01% 5 0.01% 0.38
23 Benelli/H&K M4 Super 90 XM1014 1.10 6 0.00% 2 0.00% 0.33
24 H&K UMP45 1.20 4 0.00% 2 0.00% 0.50




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill sort-descending.gif
1 Glock 18 Select Fire 2,200 278 4,986 18 27 27.0000 12.6% 17.9 81.5
2 H&K UMP45 231 36 676 2 4 4.0000 15.6% 18.8 57.8
3 Steyr Tactical Machine Pistol 1,418 186 3,087 9 25 25.0000 13.1% 16.6 56.7
4 Kalashnikov AK-47 345,370 28,462 1,080,049 4,014 7,499 9.1118 8.2% 37.9 46.1
5 H&K USP .45 Tactical 2,251 363 6,835 25 49 49.0000 16.1% 18.8 45.9
6 M249 PARA Light Machine Gun 52,182 4,260 159,971 556 1,149 16.4143 8.2% 37.6 45.4
7 Ingram MAC-10 618 107 2,071 6 14 14.0000 17.3% 19.4 44.1
8 H&K MP5-Navy 571 110 1,792 5 13 13.0000 19.3% 16.3 43.9
9 FN P90 36,140 5,487 129,438 438 1,002 17.5789 15.2% 23.6 36.1
10 Colt M4A1 Carbine 188,100 24,831 795,056 2,607 5,722 13.1540 13.2% 32.0 32.9
11 Steyr Aug 527 97 3,222 10 20 6.6667 18.4% 33.2 26.4
12 Sig Sauer P-228 19,246 3,041 92,429 325 735 23.7097 15.8% 30.4 26.2
13 Dual Beretta 96G Elite 2,697 533 14,191 48 104 104.0000 19.8% 26.6 25.9
14 Sig Sauer SG-552 Commando 1,675 336 9,938 32 67 67.0000 20.1% 29.6 25.0
15 Galil 1,887 322 11,368 35 81 81.0000 17.1% 35.3 23.3
16 Bundeswehr Advanced Combat Knife 4,322 563 30,634 0 194 1.3379 13.0% 54.4 22.3
17 Fusil Automatique 599 108 3,456 12 27 27.0000 18.0% 32.0 22.2
18 FN Five-Seven 781 202 5,292 16 38 38.0000 25.9% 26.2 20.6
19 Benelli/H&K M4 Super 90 XM1014 94 95 1,069 2 6 6.0000 101.1% 11.3 15.7
20 Desert Eagle .50AE 37,022 9,131 476,188 1,888 3,277 3.8327 24.7% 52.2 11.3
21 Steyr Scout 27,980 8,057 750,716 2,083 3,314 2.0444 28.8% 93.2 8.4
22 Benelli M3 Super 90 Combat 1,382 2,732 39,076 125 279 1.7329 197.7% 14.3 5.0
23 Arctic Warfare Magnum (Police) 3,434 1,152 161,042 158 830 5.1875 33.5% 139.8 4.1




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 28,462 27.8% 57.8% 14.4%
2 Colt M4A1 Carbine 24,831 27.9% 59.1% 13.0%
3 Desert Eagle .50AE 9,131 26.6% 61.7% 11.7%
4 Steyr Scout 8,057 27.1% 63.9% 9.0%
5 FN P90 5,487 27.2% 56.4% 16.3%
6 M249 PARA Light Machine Gun 4,260 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 533 25.5% 63.8% 10.7%
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 278 25.5% 64.4% 10.1%
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
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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 / 239594 * 100, 2) AS kpercent,
			ROUND(headshots / 82156 * 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