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  Clan Information

Statistics Summary
Clan: BlacK❧AceS☙
Home Page:
Activity: 84.25%
Members: 4 active members (7 total)
Avg. Member Points: 25,372
Total Kills: 51,466
Total Deaths: 36,135
Avg. Kills: 12,867
Kills per Death: 1.42
Kills per Minute: 0.56
Total Connection Time: 63d 18:05:45h
Avg. Connection Time: 15d 22:31:26h
Favorite Server:* CSMEGA-BG.COM | Dust 2 OnlY |v.92| !Shop | HlstatsX | VIP
Favorite Map:* de_dust2
Favorite Weapon:* Colt M4A1 Carbine
Player Locations

  Members

Rank Name Rank Points Activity Time Kills Clan Kills % Deaths sort-descending.gif Kpd
1  BulgariaRevolutionist elorank 37,311 24d 18:04:05h 29,103 56.55% 18,394 1.58
2  BulgariaPanterata elorank 20,031 9d 20:30:36h 9,202 17.88% 8,072 1.14
3  Bulgariabebo elorank 30,693 24d 08:53:08h 10,906 21.19% 7,245 1.51
4  BulgariaInsane elorank 13,451 4d 18:37:56h 2,255 4.38% 2,424 0.93




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 154 times 308
2 Start Defusing the Bomb Without a Defuse Kit 3 times 0
3 Start Defusing the Bomb With a Defuse Kit 97 times 0
4 Round MVP 709 times 0
5 Revenge 64 times 192
6 Rampage (5 kills) 6 times 24
7 Plant the Bomb 247 times 2,470
8 Pick up the Bomb 743 times 1,486
9 Mega Kill (6 kills) 3 times 15
10 Headshot 1,820 times 1,820
11 Drop the Bomb 386 times -772
12 Double Kill (2 kills) 471 times 471
13 Domination (4 kills) 33 times 99
14 Domination 156 times 780
15 Defuse the Bomb 72 times 720




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 90 times -450
2 Revenge 83 times -249




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Counter-Terrorist 351 times 23.51%
2 Terrorist 261 times 17.48%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Colt M4A1 Carbine 1.00 740 1.44% 471 1.54% 0.64
2 Desert Eagle .50AE 1.20 576 1.12% 397 1.30% 0.69
3 Kalashnikov AK-47 1.00 465 0.90% 311 1.02% 0.67
4 Sig Sauer SG-552 Commando 1.00 209 0.41% 104 0.34% 0.50
5 Steyr Scout 1.10 173 0.34% 119 0.39% 0.69
6 Steyr Aug 1.00 73 0.14% 46 0.15% 0.63
7 High Explosive Grenade 1.80 52 0.10% 0 0.00% 0.00
8 Bundeswehr Advanced Combat Knife 2.00 46 0.09% 0 0.00% 0.00
9 Arctic Warfare Magnum (Police) 1.00 46 0.09% 6 0.02% 0.13
10 Fusil Automatique 1.00 22 0.04% 16 0.05% 0.73
11 FN P90 1.20 18 0.03% 9 0.03% 0.50
12 Sig Sauer P-228 1.50 18 0.03% 14 0.05% 0.78
13 H&K USP .45 Tactical 1.40 17 0.03% 13 0.04% 0.76
14 Benelli M3 Super 90 Combat 1.20 16 0.03% 5 0.02% 0.31
15 Galil 1.10 16 0.03% 8 0.03% 0.50
16 H&K MP5-Navy 1.20 15 0.03% 11 0.04% 0.73
17 M249 PARA Light Machine Gun 1.20 12 0.02% 9 0.03% 0.75
18 Glock 18 Select Fire 1.40 7 0.01% 4 0.01% 0.57
19 H&K UMP45 1.20 6 0.01% 5 0.02% 0.83
20 Dual Beretta 96G Elite 1.40 5 0.01% 4 0.01% 0.80
21 Ingram MAC-10 1.50 4 0.01% 3 0.01% 0.75
22 Benelli/H&K M4 Super 90 XM1014 1.10 3 0.01% 1 0.00% 0.33
23 Steyr Tactical Machine Pistol 1.50 3 0.01% 1 0.00% 0.33
24 H&K G3/SG1 Sniper Rifle 0.80 3 0.01% 1 0.00% 0.33




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills Kills per Death sort-descending.gif Accuracy Damage per Hit Shots per Kill
1 Sig Sauer SG-552 Commando 5,375 947 34,250 122 241 60.2500 17.6% 36.2 22.3
2 Steyr Aug 1,842 421 15,284 65 111 55.5000 22.9% 36.3 16.6
3 Fusil Automatique 559 119 4,662 22 30 30.0000 21.3% 39.2 18.6
4 H&K MP5-Navy 609 103 2,817 15 21 21.0000 16.9% 27.3 29.0
5 H&K USP .45 Tactical 396 100 2,796 14 20 20.0000 25.3% 28.0 19.8
6 FN P90 672 109 2,901 11 20 20.0000 16.2% 26.6 33.6
7 Benelli M3 Super 90 Combat 90 183 2,697 6 18 18.0000 203.3% 14.7 5.0
8 Galil 515 72 2,388 8 16 16.0000 14.0% 33.2 32.2
9 Colt M4A1 Carbine 16,722 3,088 122,911 523 838 13.0938 18.5% 39.8 20.0
10 M249 PARA Light Machine Gun 237 30 1,606 9 12 12.0000 12.7% 53.5 19.8
11 Kalashnikov AK-47 9,280 1,581 72,850 335 508 11.0435 17.0% 46.1 18.3
12 Desert Eagle .50AE 7,450 1,834 113,485 479 689 10.1324 24.6% 61.9 10.8
13 H&K UMP45 111 28 909 5 8 8.0000 25.2% 32.5 13.9
14 Glock 18 Select Fire 188 47 1,230 5 8 8.0000 25.0% 26.2 23.5
15 Dual Beretta 96G Elite 243 48 1,348 5 7 7.0000 19.8% 28.1 34.7
16 Steyr Scout 1,172 460 51,944 148 209 5.3590 39.2% 112.9 5.6
17 Arctic Warfare Magnum (Police) 130 54 7,912 7 47 5.2222 41.5% 146.5 2.8
18 Benelli/H&K M4 Super 90 XM1014 40 43 538 2 4 4.0000 107.5% 12.5 10.0
19 Ingram MAC-10 99 15 554 3 4 4.0000 15.2% 36.9 24.8
20 H&K G3/SG1 Sniper Rifle 48 15 474 1 4 4.0000 31.3% 31.6 12.0
21 Sig Sauer P-228 262 61 3,341 15 19 3.1667 23.3% 54.8 13.8
22 Bundeswehr Advanced Combat Knife 457 114 1,769 0 69 2.6538 24.9% 15.5 6.6
23 Steyr Tactical Machine Pistol 112 17 264 1 2 2.0000 15.2% 15.5 56.0
24 Sig SG-550 Sniper 11 1 21 0 0 0.0000 9.1% 21.0 0.0
25 FN Five-Seven 16 7 144 0 0 0.0000 43.8% 20.6 0.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Colt M4A1 Carbine 3,080 23.5% 65.1% 11.4%
2 Desert Eagle .50AE 1,811 23.7% 66.4% 9.9%
3 Kalashnikov AK-47 1,558 24.4% 63.1% 12.5%
4 Sig Sauer SG-552 Commando 937 26.9% 59.0% 14.1%
5 Steyr Scout 451 25.5% 67.4% 7.1%
6 Steyr Aug 421 25.2% 65.8% 9.0%
7 Benelli M3 Super 90 Combat 183 28.4% 56.3% 15.3%
8 Fusil Automatique 119 19.3% 71.4% 9.2%
9 FN P90 109 28.4% 56.0% 15.6%
10 H&K MP5-Navy 103 28.2% 65.0% 6.8%
11 H&K USP .45 Tactical 100 29.0% 65.0% 6.0%
12 Galil 72 27.8% 59.7% 12.5%
13 Sig Sauer P-228 61 23.0% 68.9% 8.2%
14 Arctic Warfare Magnum (Police) 51 29.4% 58.8% 11.8%
15 Dual Beretta 96G Elite 48 27.1% 58.3% 14.6%
16 Glock 18 Select Fire 47 25.5% 66.0% 8.5%
17 Benelli/H&K M4 Super 90 XM1014 43 44.2% 39.5% 16.3%
18 M249 PARA Light Machine Gun 30 33.3% 60.0% 6.7%
19 H&K UMP45 28 21.4% 57.1% 21.4%
20 Steyr Tactical Machine Pistol 17 23.5% 64.7% 11.8%
21 Ingram MAC-10 15 6.7% 80.0% 13.3%
22 H&K G3/SG1 Sniper Rifle 14 57.1% 42.9% 0.0%
23 FN Five-Seven 7 14.3% 57.1% 28.6%
24 Sig SG-550 Sniper 1 100.0% 0.0% 0.0%


Targets
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ERROR
Database Error

Server Address: localhost
Server Username: firegate

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 / 51466 * 100, 2) AS kpercent,
			ROUND(headshots / 30518 * 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