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  Clan Information

Statistics Summary
Clan: BlacK❧AceS☙
Home Page:
Activity: 99.33%
Members: 3 active members (6 total)
Avg. Member Points: 26,927
Total Kills: 41,876
Total Deaths: 27,761
Avg. Kills: 13,959
Kills per Death: 1.51
Kills per Minute: 0.56
Total Connection Time: 52d 04:30:29h
Avg. Connection Time: 17d 09:30:09h
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 sort-descending.gif Kills Clan Kills % Deaths Kpd
1  BulgariaRevolutionist elorank 36,813 24d 03:57:39h 28,783 68.73% 18,127 1.59
2  Bulgariabebo elorank 30,516 23d 07:39:09h 10,840 25.89% 7,212 1.50
3  BulgariaInsane elorank 13,452 4d 16:53:41h 2,253 5.38% 2,422 0.93




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 317 times 634
2 Start Defusing the Bomb Without a Defuse Kit 17 times 0
3 Start Defusing the Bomb With a Defuse Kit 206 times 0
4 Round MVP 1,275 times 0
5 Revenge 100 times 300
6 Rampage (5 kills) 10 times 40
7 Plant the Bomb 406 times 4,060
8 Pick up the Bomb 1,062 times 2,124
9 Ownage (7 kills) 1 times 6
10 Mega Kill (6 kills) 4 times 20
11 Headshot 3,093 times 3,093
12 Drop the Bomb 533 times -1066
13 Double Kill (2 kills) 870 times 870
14 Domination (4 kills) 60 times 180
15 Domination 314 times 1,570
16 Defuse the Bomb 155 times 1,550




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Revenge 180 times -540
2 Domination 155 times -775




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Terrorist 421 times 16.80%
2 Counter-Terrorist 673 times 26.86%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Colt M4A1 Carbine 1.00 1,491 3.56% 869 3.40% 0.58
2 Desert Eagle .50AE 1.20 1,037 2.48% 663 2.59% 0.64
3 Kalashnikov AK-47 1.00 668 1.60% 462 1.81% 0.69
4 Sig Sauer SG-552 Commando 1.00 607 1.45% 317 1.24% 0.52
5 Steyr Aug 1.00 279 0.67% 158 0.62% 0.57
6 Steyr Scout 1.10 204 0.49% 129 0.50% 0.63
7 Arctic Warfare Magnum (Police) 1.00 108 0.26% 15 0.06% 0.14
8 High Explosive Grenade 1.80 92 0.22% 0 0.00% 0.00
9 FN P90 1.20 41 0.10% 23 0.09% 0.56
10 Bundeswehr Advanced Combat Knife 2.00 39 0.09% 0 0.00% 0.00
11 H&K USP .45 Tactical 1.40 28 0.07% 18 0.07% 0.64
12 Benelli M3 Super 90 Combat 1.20 20 0.05% 5 0.02% 0.25
13 Sig Sauer P-228 1.50 18 0.04% 11 0.04% 0.61
14 Fusil Automatique 1.00 17 0.04% 11 0.04% 0.65
15 Galil 1.10 10 0.02% 5 0.02% 0.50
16 H&K UMP45 1.20 8 0.02% 3 0.01% 0.38
17 Glock 18 Select Fire 1.40 7 0.02% 4 0.02% 0.57
18 H&K MP5-Navy 1.20 6 0.01% 3 0.01% 0.50
19 Steyr Tactical Machine Pistol 1.50 5 0.01% 2 0.01% 0.40
20 Dual Beretta 96G Elite 1.40 5 0.01% 2 0.01% 0.40
21 M249 PARA Light Machine Gun 1.20 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 H&K G3/SG1 Sniper Rifle 0.80 3 0.01% 1 0.00% 0.33
24 Sig SG-550 Sniper 0.80 2 0.00% 2 0.01% 1.00
25 FN Five-Seven 1.50 2 0.00% 1 0.00% 0.50




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Colt M4A1 Carbine 32,249 6,192 238,102 958 1,645 13.1600 19.2% 38.5 19.6
2 Desert Eagle .50AE 14,949 3,478 197,371 758 1,194 10.4737 23.3% 56.7 12.5
3 Kalashnikov AK-47 11,300 2,089 100,619 489 712 15.1489 18.5% 48.2 15.9
4 Sig Sauer SG-552 Commando 15,730 2,798 95,300 352 663 41.4375 17.8% 34.1 23.7
5 Steyr Aug 6,927 1,540 54,623 219 382 76.4000 22.2% 35.5 18.1
6 Steyr Scout 1,487 600 61,518 163 247 4.0492 40.3% 102.5 6.0
7 Arctic Warfare Magnum (Police) 328 137 18,615 16 110 5.2381 41.8% 135.9 3.0
8 FN P90 1,381 236 6,082 23 44 14.6667 17.1% 25.8 31.4
9 H&K USP .45 Tactical 809 204 5,636 25 39 39.0000 25.2% 27.6 20.7
10 Bundeswehr Advanced Combat Knife 390 67 1,112 0 35 1.6667 17.2% 16.6 11.1
11 Fusil Automatique 408 89 3,625 16 24 24.0000 21.8% 40.7 17.0
12 Benelli M3 Super 90 Combat 130 253 3,608 5 23 23.0000 194.6% 14.3 5.7
13 Sig Sauer P-228 171 53 2,514 11 19 9.5000 31.0% 47.4 9.0
14 H&K MP5-Navy 291 50 1,488 7 12 12.0000 17.2% 29.8 24.3
15 Galil 224 35 1,497 6 12 12.0000 15.6% 42.8 18.7
16 H&K UMP45 205 53 1,052 3 9 9.0000 25.9% 19.8 22.8
17 Glock 18 Select Fire 280 75 1,821 6 9 9.0000 26.8% 24.3 31.1
18 Dual Beretta 96G Elite 228 53 1,842 5 9 9.0000 23.2% 34.8 25.3
19 Benelli/H&K M4 Super 90 XM1014 29 33 529 2 5 5.0000 113.8% 16.0 5.8
20 Steyr Tactical Machine Pistol 180 29 579 2 5 5.0000 16.1% 20.0 36.0
21 M249 PARA Light Machine Gun 54 6 422 3 4 4.0000 11.1% 70.3 13.5
22 H&K G3/SG1 Sniper Rifle 25 14 431 1 4 4.0000 56.0% 30.8 6.3
23 Sig SG-550 Sniper 32 12 489 2 2 2.0000 37.5% 40.8 16.0
24 FN Five-Seven 59 16 307 1 2 2.0000 27.1% 19.2 29.5
25 Ingram MAC-10 56 7 88 0 0 0.0000 12.5% 12.6 0.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Colt M4A1 Carbine 6,170 24.7% 64.5% 10.8%
2 Desert Eagle .50AE 3,414 24.5% 64.4% 11.0%
3 Sig Sauer SG-552 Commando 2,740 27.7% 57.8% 14.5%
4 Kalashnikov AK-47 2,046 24.3% 63.7% 12.0%
5 Steyr Aug 1,538 25.6% 63.8% 10.6%
6 Steyr Scout 587 26.1% 65.4% 8.5%
7 Benelli M3 Super 90 Combat 250 25.6% 57.6% 16.8%
8 FN P90 236 30.5% 55.1% 14.4%
9 H&K USP .45 Tactical 204 24.5% 58.3% 17.2%
10 Arctic Warfare Magnum (Police) 134 38.8% 51.5% 9.7%
11 Fusil Automatique 80 17.5% 71.3% 11.3%
12 Glock 18 Select Fire 75 20.0% 73.3% 6.7%
13 H&K UMP45 53 34.0% 45.3% 20.8%
14 Dual Beretta 96G Elite 53 34.0% 58.5% 7.5%
15 H&K MP5-Navy 50 30.0% 64.0% 6.0%
16 Sig Sauer P-228 46 8.7% 78.3% 13.0%
17 Galil 35 31.4% 62.9% 5.7%
18 Benelli/H&K M4 Super 90 XM1014 33 24.2% 60.6% 15.2%
19 Steyr Tactical Machine Pistol 29 17.2% 65.5% 17.2%
20 FN Five-Seven 16 43.8% 56.3% 0.0%
21 H&K G3/SG1 Sniper Rifle 14 50.0% 50.0% 0.0%
22 Sig SG-550 Sniper 12 25.0% 66.7% 8.3%
23 Ingram MAC-10 7 0.0% 100.0% 0.0%
24 M249 PARA Light Machine Gun 6 33.3% 66.7% 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 / 41876 * 100, 2) AS kpercent,
			ROUND(headshots / 25595 * 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