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  Clan Information

Statistics Summary
Clan:
Home Page:
Activity: 96.33% 96.33%
Members: 6 active members (13 total)
Avg. Member Points: 26,633
Total Kills: 146,695
Total Deaths: 136,722
Avg. Kills: 24,449
Kills per Death: 1.07
Kills per Minute: 0.73
Total Connection Time: 139d 21:34:49h
Avg. Connection Time: 23d 07:35:48h
Favorite Server:* *Drive* & MFSPROJECT No AWP Здесь банят за мат!
Favorite Map:* de_alexandra2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Points sort-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russia[FISH]МАКСИМУС[FISH] 33,686 42d 02:39:58h 57,818 39.41% 41,722 1.39
2  RussiaВанёк[47] 33,248 11d 19:45:59h 16,000 10.91% 9,419 1.70
3  Russia_=¤WeRToN¤=_ [FISH] 27,408 22d 22:37:16h 27,788 18.94% 22,559 1.23
4  RussiaПринцессочкa 25,388 21d 17:10:17h 19,389 13.22% 20,913 0.93
5  RussiaCalypso 21,003 22d 07:23:53h 14,636 9.98% 23,250 0.63
6  RussiaЦветочек) 19,063 18d 23:57:26h 11,064 7.54% 18,859 0.59




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 168 times 1,680
2 Pick up the Bomb 643 times 1,286
3 Headshot 1,155 times 1,155
4 Domination 136 times 680
5 Double Kill (2 kills) 482 times 482
6 Triple Kill (3 kills) 125 times 250
7 Defuse the Bomb 19 times 190
8 Revenge 61 times 183
9 Domination (4 kills) 19 times 57
10 Unstoppable (11 kills) 1 times 10
11 Mega Kill (6 kills) 2 times 10
12 Ultra Kill (8 kills) 1 times 7
13 Ownage (7 kills) 1 times 6
14 Rampage (5 kills) 1 times 4
15 Touch a Hostage 22 times 0
16 Start Defusing the Bomb Without a Defuse Kit 1 times 0
17 Start Defusing the Bomb With a Defuse Kit 23 times 0
18 Round MVP 576 times 0
19 Drop the Bomb 312 times -624




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 94 times -282
2 Domination 100 times -500




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 133 times 26.98%
2 Counter-Terrorist 88 times 17.85%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 1,047 0.71% 579 0.90% 0.55
2 Colt M4A1 Carbine 1.00 713 0.49% 340 0.53% 0.48
3 Sig Sauer SG-552 Commando 1.00 120 0.08% 38 0.06% 0.32
4 Bundeswehr Advanced Combat Knife 2.00 117 0.08% 0 0.00% 0.00
5 Steyr Scout 1.10 105 0.07% 70 0.11% 0.67
6 Arctic Warfare Magnum (Police) 1.00 105 0.07% 19 0.03% 0.18
7 Desert Eagle .50AE 1.20 94 0.06% 49 0.08% 0.52
8 High Explosive Grenade 1.80 87 0.06% 0 0.00% 0.00
9 M249 PARA Light Machine Gun 1.20 30 0.02% 15 0.02% 0.50
10 Steyr Aug 1.00 17 0.01% 5 0.01% 0.29
11 H&K MP5-Navy 1.20 16 0.01% 10 0.02% 0.63
12 Galil 1.10 16 0.01% 7 0.01% 0.44
13 FN P90 1.20 13 0.01% 6 0.01% 0.46
14 Benelli/H&K M4 Super 90 XM1014 1.10 7 0.00% 3 0.00% 0.43
15 Dual Beretta 96G Elite 1.40 5 0.00% 0 0.00% 0.00
16 H&K USP .45 Tactical 1.40 4 0.00% 0 0.00% 0.00
17 Benelli M3 Super 90 Combat 1.20 4 0.00% 2 0.00% 0.50
18 Sig SG-550 Sniper 0.80 3 0.00% 2 0.00% 0.67
19 Steyr Tactical Machine Pistol 1.50 2 0.00% 1 0.00% 0.50
20 Glock 18 Select Fire 1.40 1 0.00% 1 0.00% 1.00
21 Fusil Automatique 1.00 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon sort-descending.gif Shots Hits Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Benelli/H&K M4 Super 90 XM1014 47 65 918 3 7 3.5000 138.3% 14.1 6.7
2 H&K USP .45 Tactical 60 12 474 2 6 3.0000 20.0% 39.5 10.0
3 Steyr Tactical Machine Pistol 36 9 295 1 2 1.0000 25.0% 32.8 18.0
4 Sig Sauer SG-552 Commando 2,455 575 16,834 38 120 120.0000 23.4% 29.3 20.5
5 Sig SG-550 Sniper 43 5 736 2 3 3.0000 11.6% 147.2 14.3
6 Steyr Scout 557 216 22,910 70 105 8.0769 38.8% 106.1 5.3
7 FN P90 404 70 2,027 6 13 2.6000 17.3% 29.0 31.1
8 Sig Sauer P-228 5 2 28 0 0 0.0000 40.0% 14.0 0.0
9 H&K MP5-Navy 552 106 2,670 10 16 2.6667 19.2% 25.2 34.5
10 Colt M4A1 Carbine 13,705 3,018 99,145 340 715 10.8333 22.0% 32.9 19.2
11 Benelli M3 Super 90 Combat 21 14 548 2 4 0.6667 66.7% 39.1 5.3
12 M249 PARA Light Machine Gun 538 107 4,058 15 30 15.0000 19.9% 37.9 17.9
13 Bundeswehr Advanced Combat Knife 155 2 75 0 0 0.0000 1.3% 37.5 0.0
14 Glock 18 Select Fire 33 10 121 1 1 1.0000 30.3% 12.1 33.0
15 Galil 249 56 2,179 7 16 16.0000 22.5% 38.9 15.6
16 H&K G3/SG1 Sniper Rifle 11 1 54 0 0 0.0000 9.1% 54.0 0.0
17 Fusil Automatique 36 6 165 0 1 1.0000 16.7% 27.5 36.0
18 Dual Beretta 96G Elite 53 19 591 0 5 0.8333 35.8% 31.1 10.6
19 Desert Eagle .50AE 903 284 13,732 49 94 5.5294 31.5% 48.4 9.6
20 Arctic Warfare Magnum (Police) 209 118 18,954 19 105 2.2340 56.5% 160.6 2.0
21 Steyr Aug 273 81 2,393 5 17 17.0000 29.7% 29.5 16.1
22 Kalashnikov AK-47 16,529 3,549 143,337 585 1,054 9.0862 21.5% 40.4 15.7




  Weapon Targets *

Rank Weapon sort-descending.gif Hits Head Chest Stomach Left Arm Right Arm Left Leg Right Leg Left Middle Right
1 Benelli/H&K M4 Super 90 XM1014 65 4 10 14 12 7 9 9 32.3% 43.1% 24.6%
2 H&K USP .45 Tactical 12 2 4 3 1 1 0 1 8.3% 75.0% 16.7%
3 Steyr Tactical Machine Pistol 9 2 3 0 3 0 1 0 44.4% 55.6% 0.0%
4 Sig Sauer SG-552 Commando 575 66 132 110 105 51 54 57 27.7% 53.6% 18.8%
5 Sig SG-550 Sniper 5 2 0 1 0 1 0 1 0.0% 60.0% 40.0%
6 Steyr Scout 216 73 65 6 54 13 5 0 27.3% 66.7% 6.0%
7 FN P90 70 15 12 10 19 3 7 4 37.1% 52.9% 10.0%
8 Sig Sauer P-228 2 0 2 0 0 0 0 0 0.0% 100.0% 0.0%
9 H&K MP5-Navy 106 18 22 18 21 9 14 4 33.0% 54.7% 12.3%
10 Colt M4A1 Carbine 3,018 474 923 414 620 175 222 190 27.9% 60.0% 12.1%
11 Benelli M3 Super 90 Combat 14 4 2 2 5 0 1 0 42.9% 57.1% 0.0%
12 M249 PARA Light Machine Gun 107 16 31 14 22 11 6 7 26.2% 57.0% 16.8%
13 Glock 18 Select Fire 10 1 3 0 4 1 1 0 50.0% 40.0% 10.0%
14 Galil 56 10 7 11 11 2 7 8 32.1% 50.0% 17.9%
15 H&K G3/SG1 Sniper Rifle 1 0 0 0 0 0 0 1 0.0% 0.0% 100.0%
16 Fusil Automatique 6 0 2 1 2 0 1 0 50.0% 50.0% 0.0%
17 Dual Beretta 96G Elite 19 0 7 6 0 3 1 2 5.3% 68.4% 26.3%
18 Desert Eagle .50AE 284 50 92 36 73 16 6 11 27.8% 62.7% 9.5%
19 Arctic Warfare Magnum (Police) 118 19 32 9 38 17 2 1 33.9% 50.8% 15.3%
20 Steyr Aug 81 7 25 9 22 2 7 9 35.8% 50.6% 13.6%
21 Kalashnikov AK-47 3,549 631 932 529 764 257 238 198 28.2% 58.9% 12.8%




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