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  Clan Information

Statistics Summary
Clan: Яevolteds
Home Page:
Activity: 100.00%
Members: 1 active members (1 total)
Avg. Member Points: 422,387
Total Kills: 130,284
Total Deaths: 24,583
Avg. Kills: 130,284
Kills per Death: 5.30
Kills per Minute: 2.83
Total Connection Time: 32d 00:06:09h
Avg. Connection Time: 32d 00:06:09h
Favorite Server:* REVOLTEDS BR VERSUS 10x10
Favorite Map:* c7m1_docks
Favorite Weapon:* Hunting Rifle
Player Locations

  Members

Rank Name Rank Points sort-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Brazil[Яevolteds] GustavoBrt_ elorank 422,387 32d 00:06:09h 130,284 100.00% 24,583 5.30




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Protected Teammate 20,030 times 0
2 Headshot Kill 18,507 times 0
3 Killed a Charger 16,713 times 50,139
4 Killed a Spitter 12,866 times 38,598
5 (Boomer) Vomited on Survivor 9,349 times 56,094
6 Killed a Smoker 8,142 times 8,142
7 Killed a Boomer 7,036 times 7,036
8 Killed a Hunter 5,945 times 5,945
9 Incapacitated/Killed Survivor 3,724 times 93,100
10 Killed a Jockey 3,564 times 10,692
11 Going for a ride 3,423 times 17,115
12 Revived Teammate 2,089 times 6,267
13 (Hunter) Pounced on Survivor 2,041 times 12,246
14 Charger Pummeling 1,993 times 9,965
15 Hunter Punter (melee a Hunter mid-jump) 1,500 times 0
16 Tounge Twister (kill a Smoker while he is dragging you) 1,206 times 0
17 (Smoker) Tongue Grabbed Survivor 1,050 times 6,300
18 Used Adrenaline 550 times 0
19 Friendly Fire 400 times -1200
20 Acertou a Pedra (Tank) 362 times 3,620
21 Killed a Witch 194 times 582
22 Killed a Tank 180 times 540
23 Startled the Witch 143 times -715
24 Tank Bilebombed 130 times 650
25 Healed Teammate 50 times 250
26 Defibrillated Teammate 17 times 85




  Victims of Player-Player Actions *





  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Survivor 4,942 times 31.71%
2 Infected 4,713 times 30.24%




  Role Selection *

Rank Role Joined sort-descending.gif % Ratio Kills Deaths K:D
1 Charger Charger 6,747 times 22.75% 1,047 5,956 0.18
2 Spitter Spitter 6,181 times 20.84% 295 4,462 0.07
3 Jockey Jockey 4,622 times 15.59% 594 3,469 0.17
4 Boomer Boomer 3,990 times 13.46% 30 3,306 0.01
5 Hunter Hunter 3,061 times 10.32% 582 2,238 0.26
6 Smoker Smoker 1,822 times 6.14% 110 1,307 0.08
7 Coach Coach 422 times 1.42% 20,341 598 34.02
8 Ellis Ellis 414 times 1.40% 19,177 590 32.50
9 Rochelle Rochelle 386 times 1.30% 17,555 464 37.83
10 Nick Nick 350 times 1.18% 16,033 471 34.04
11 Louis Louis 335 times 1.13% 14,586 458 31.85
12 Zoey Zoey 325 times 1.10% 13,661 436 31.33
13 Tank Tank 316 times 1.07% 1,104 194 5.69
14 Francis Francis 311 times 1.05% 13,989 435 32.16
15 Bill Bill 278 times 0.94% 12,220 368 33.21




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Hunting Rifle 1.00 30,143 23.14% 5,246 28.35% 0.17
2 Combat Shotgun 1.00 16,166 12.41% 1,183 6.39% 0.07
3 Sniper Rifle 1.00 14,286 10.97% 2,424 13.10% 0.17
4 Uzi (silenced) 1.00 10,484 8.05% 2,539 13.72% 0.24
5 AK-47 1.00 9,111 6.99% 1,443 7.80% 0.16
6 Auto Shotgun 1.00 7,149 5.49% 718 3.88% 0.10
7 Magnum 1.00 5,964 4.58% 553 2.99% 0.09
8 Uzi 1.20 5,174 3.97% 1,294 6.99% 0.25
9 Chrome Shotgun 1.00 4,510 3.46% 302 1.63% 0.07
10 Fireaxe 1.50 3,787 2.91% 450 2.43% 0.12
11 Steyr Scout 1.00 3,153 2.42% 416 2.25% 0.13
12 Combat Rifle 1.00 3,072 2.36% 668 3.61% 0.22
13 Arctic Warfare Magnum (Police) 1.00 2,450 1.88% 343 1.85% 0.14
14 Pipe Bomb 1.00 2,118 1.63% 11 0.06% 0.01
15 Pump Shotgun 1.30 1,893 1.45% 173 0.93% 0.09
16 Crowbar 1.50 1,250 0.96% 167 0.90% 0.13
17 Molotov/Gas Can Fire 1.20 1,220 0.94% 0 0.00% 0.00
18 Charger's Claws 3.00 1,004 0.77% 0 0.00% 0.00
19 Katana 1.50 925 0.71% 86 0.46% 0.09
20 Dual Pistols 1.60 743 0.57% 170 0.92% 0.23
21 Frying Pan 1.50 727 0.56% 83 0.45% 0.11
22 M16 Assault Rifle 1.00 629 0.48% 127 0.69% 0.20
23 Tank's Claws 2.00 622 0.48% 0 0.00% 0.00
24 Hunter's Claws 3.00 581 0.45% 0 0.00% 0.00
25 Jockey's Claws 3.00 579 0.44% 0 0.00% 0.00
26 Electric Guitar 1.50 566 0.43% 59 0.32% 0.10
27 Knife 1.50 517 0.40% 52 0.28% 0.10
28 Blaze 3.00 493 0.38% 0 0.00% 0.00
29 Prop Physics 1.00 377 0.29% 0 0.00% 0.00
30 H&K MP5-Navy 1.00 339 0.26% 90 0.49% 0.27
31 Insect Swarm 1.50 263 0.20% 0 0.00% 0.00
32 Baseball Bat 1.50 158 0.12% 10 0.05% 0.06
33 Machete 1.50 113 0.09% 13 0.07% 0.12
34 Smoker's Claws 3.00 104 0.08% 0 0.00% 0.00
35 Sig Sauer SG-552 Commando 1.00 102 0.08% 21 0.11% 0.21
36 Tank's Rock 1.50 88 0.07% 0 0.00% 0.00
37 Golf Club 1.50 79 0.06% 3 0.02% 0.04
38 Cricket Bat 1.50 44 0.03% 6 0.03% 0.14
39 Spitter's Claws 3.00 33 0.03% 0 0.00% 0.00
40 Melee 1.50 33 0.03% 1 0.01% 0.03
41 Player 1.00 25 0.02% 0 0.00% 0.00
42 Fire Cracker 1.00 24 0.02% 0 0.00% 0.00
43 Boomer's Claws 3.00 24 0.02% 0 0.00% 0.00
44 Shovel 1.50 18 0.01% 3 0.02% 0.17
45 Pistol 2.00 17 0.01% 8 0.04% 0.47
46 Tonfa 1.50 9 0.01% 0 0.00% 0.00
47 First Aid Kit Smash 1.50 9 0.01% 0 0.00% 0.00
48 Pitchfork 1.50 7 0.01% 1 0.01% 0.14
49 World 1.00 6 0.00% 0 0.00% 0.00
50 Pain Pills Smash 1.50 6 0.00% 0 0.00% 0.00
51 Adrenaline Smash 1.50 5 0.00% 0 0.00% 0.00
52 Infected Horde 1.00 4 0.00% 0 0.00% 0.00
53 Gas Can Smash 1.50 3 0.00% 0 0.00% 0.00
54 Vomit Jar Smash 1.50 2 0.00% 0 0.00% 0.00
55 Witch's Claws 1.00 1 0.00% 0 0.00% 0.00
56 Molotov Smash 1.50 1 0.00% 0 0.00% 0.00
57 Grenade Launcher 0.75 1 0.00% 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 Hunting Rifle 178,195 57,029 7,192,874 3,852 12,989 12,989 32.0% 126.1 13.7
2 Combat Shotgun 70,206 127,504 3,129,455 0 7,075 7,075 181.6% 24.5 9.9
3 Sniper Rifle 90,280 28,160 3,462,685 1,732 6,041 6,041 31.2% 123.0 14.9
4 Uzi (silenced) 290,660 79,163 2,260,639 1,332 5,030 5,030 27.2% 28.6 57.8
5 AK-47 121,674 32,205 2,208,287 984 4,257 4,257 26.5% 68.6 28.6
6 Auto Shotgun 30,433 63,859 1,284,011 0 2,907 2,907 209.8% 20.1 10.5
7 Uzi 150,806 49,284 1,180,860 672 2,340 2,340 32.7% 24.0 64.4
8 Chrome Shotgun 14,278 27,825 715,021 0 1,764 1,764 194.9% 25.7 8.1
9 Combat Rifle 58,196 15,746 900,289 405 1,517 1,517 27.1% 57.2 38.4
10 Steyr Scout 10,505 3,740 862,114 290 1,449 1,449 35.6% 230.5 7.2
11 Magnum 22,208 8,208 662,570 309 1,250 1,250 37.0% 80.7 17.8
12 Arctic Warfare Magnum (Police) 7,699 2,774 727,323 251 1,131 1,131 36.0% 262.2 6.8
13 Pump Shotgun 5,830 12,459 287,520 0 664 664.0000 213.7% 23.1 8.8
14 M16 Assault Rifle 15,858 5,675 236,260 77 317 317.0000 35.8% 41.6 50.0
15 H&K MP5-Navy 8,503 2,967 87,757 47 158 158.0000 34.9% 29.6 53.8
16 Charger's Claws 60,023 8,649 81,248 0 114 114.0000 14.4% 9.4 526.5
17 Hunter's Claws 179,395 6,735 63,137 0 89 22.2500 3.8% 9.4 2,016
18 Tank's Claws 8,527 1,171 51,184 0 62 62.0000 13.7% 43.7 137.5
19 Sig Sauer SG-552 Commando 2,888 1,015 38,659 12 56 56.0000 35.1% 38.1 51.6
20 Jockey's Claws 210,545 18,852 41,962 0 47 47.0000 9.0% 2.2 4,480
21 Smoker's Claws 85,264 1,955 9,480 0 11 11.0000 2.3% 4.8 7,751
22 Pistol 6,443 2,602 104,065 1 3 3.0000 40.4% 40.0 2,148
23 Pipe Bomb 410 398 1,016 0 1 1.0000 97.1% 2.6 410.0
24 Boomer's Claws 56,222 826 8,538 0 0 0.0000 1.5% 10.3 0.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Combat Shotgun 96,697 11.2% 73.1% 15.7%
2 Uzi (silenced) 59,781 10.1% 75.6% 14.3%
3 Auto Shotgun 48,975 11.5% 72.5% 16.0%
4 Hunting Rifle 43,636 8.5% 80.4% 11.1%
5 Uzi 38,735 13.1% 71.3% 15.6%
6 AK-47 25,622 11.7% 73.0% 15.4%
7 Sniper Rifle 21,829 9.0% 79.7% 11.3%
8 Chrome Shotgun 20,530 10.3% 74.7% 14.9%
9 Combat Rifle 12,811 10.2% 76.0% 13.8%
10 Jockey's Claws 11,787 15.9% 64.4% 19.8%
11 Pump Shotgun 9,321 10.9% 74.2% 14.9%
12 Magnum 6,452 10.8% 75.0% 14.2%
13 Hunter's Claws 5,142 16.4% 65.8% 17.8%
14 M16 Assault Rifle 4,833 12.9% 71.7% 15.4%
15 Charger's Claws 4,080 13.9% 67.7% 18.3%
16 Steyr Scout 2,830 7.6% 81.3% 11.2%
17 H&K MP5-Navy 2,345 11.9% 72.2% 15.9%
18 Pistol 2,260 15.8% 64.6% 19.6%
19 Arctic Warfare Magnum (Police) 2,057 8.4% 80.4% 11.3%
20 Smoker's Claws 859 9.1% 66.6% 24.3%
21 Sig Sauer SG-552 Commando 842 8.7% 79.1% 12.2%
22 Tank's Claws 45 0.0% 91.1% 8.9%


Targets
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  Map Performance *

Rank Map Name Kills sort-descending.gif Percentage of Kills % Deaths Kills per Death Headshots Percentage of Headshots % Hpk
1 c1m3_mall 9,471 7.27% 1,234 7.6750 1,292 6.98% 0.1364
2 c7m2_barge 7,880 6.05% 1,501 5.2498 1,079 5.83% 0.1369
3 c7m1_docks 6,540 5.02% 1,698 3.8516 1,012 5.47% 0.1547
4 c1m2_streets 5,638 4.33% 1,322 4.2648 854 4.62% 0.1515
5 c5m2_park 4,735 3.63% 814 5.8170 694 3.75% 0.1466
6 c7m3_port 4,598 3.53% 864 5.3218 613 3.31% 0.1333
7 c1m4_atrium 4,371 3.35% 810 5.3963 592 3.20% 0.1354
8 c1m1_hotel 4,258 3.27% 751 5.6698 876 4.73% 0.2057
9 c5m3_cemetery 3,746 2.88% 844 4.4384 407 2.20% 0.1086
10 c8m2_subway 3,679 2.82% 613 6.0016 506 2.73% 0.1375
11 c8m4_interior 3,657 2.81% 477 7.6667 467 2.52% 0.1277
12 c4m1_milltown_a 3,524 2.70% 616 5.7208 531 2.87% 0.1507
13 c4m2_sugarmill_a 3,517 2.70% 764 4.6034 435 2.35% 0.1237
14 c2m3_coaster 2,908 2.23% 428 6.7944 323 1.75% 0.1111
15 c8m3_sewers 2,771 2.13% 582 4.7612 351 1.90% 0.1267
16 c5m4_quarter 2,649 2.03% 484 5.4731 346 1.87% 0.1306
17 c2m2_fairgrounds 2,535 1.95% 504 5.0298 364 1.97% 0.1436
18 c4m3_sugarmill_b 2,368 1.82% 451 5.2506 353 1.91% 0.1491
19 c2m4_barns 2,248 1.73% 328 6.8537 296 1.60% 0.1317
20 c10m4_mainstreet 2,208 1.69% 422 5.2322 322 1.74% 0.1458
21 c10m3_ranchhouse 2,124 1.63% 437 4.8604 335 1.81% 0.1577
22 c4m4_milltown_b 2,095 1.61% 350 5.9857 294 1.59% 0.1403
23 c2m1_highway 2,031 1.56% 425 4.7788 358 1.93% 0.1763
24 c8m1_apartment 2,019 1.55% 482 4.1888 332 1.79% 0.1644
25 c10m2_drainage 2,013 1.55% 349 5.7679 303 1.64% 0.1505
26 c5m1_waterfront 1,902 1.46% 494 3.8502 342 1.85% 0.1798
27 c8m5_rooftop 1,683 1.29% 275 6.1200 224 1.21% 0.1331
28 c6m2_bedlam 1,625 1.25% 259 6.2741 206 1.11% 0.1268
29 c10m1_caves 1,475 1.13% 297 4.9663 261 1.41% 0.1769
30 nmrm2_subway 1,309 1.00% 235 5.5702 187 1.01% 0.1429
31 c12m4_barn 1,304 1.00% 251 5.1952 125 0.68% 0.0959
32 c12m3_bridge 1,194 0.92% 195 6.1231 163 0.88% 0.1365
33 c12m2_traintunnel 1,177 0.90% 211 5.5782 151 0.82% 0.1283
34 nmrm3_sewers 1,164 0.89% 256 4.5469 139 0.75% 0.1194
35 c6m1_riverbank 1,150 0.88% 198 5.8081 143 0.77% 0.1243
36 c10m5_houseboat 1,147 0.88% 153 7.4967 164 0.89% 0.1430
37 c4m5_milltown_escape 1,140 0.88% 288 3.9583 140 0.76% 0.1228
38 c6m3_port 1,107 0.85% 207 5.3478 164 0.89% 0.1481
39 nmrm4_hospital 1,082 0.83% 182 5.9451 123 0.66% 0.1137
40 c11m4_terminal 884 0.68% 124 7.1290 139 0.75% 0.1572
41 nmrm1_apartment 840 0.64% 197 4.2640 142 0.77% 0.1690
42 c12m5_cornfield 768 0.59% 127 6.0472 126 0.68% 0.1641
43 c11m3_garage 678 0.52% 141 4.8085 89 0.48% 0.1313
44 c13m4_cutthroatcreek 651 0.50% 129 5.0465 88 0.48% 0.1352
45 c2m5_concert 636 0.49% 132 4.8182 95 0.51% 0.1494
46 dkr_m3_tunneloflove 592 0.45% 98 6.0408 67 0.36% 0.1132
47 PR3_Highway_F 580 0.45% 121 4.7934 91 0.49% 0.1569
48 c13m2_southpinestream 573 0.44% 89 6.4382 80 0.43% 0.1396
49 c12m1_hilltop 568 0.44% 145 3.9172 90 0.49% 0.1585
50 PR2_Park_F 560 0.43% 128 4.3750 76 0.41% 0.1357
51 c5m5_bridge 556 0.43% 81 6.8642 63 0.34% 0.1133
52 c11m1_greenhouse 550 0.42% 70 7.8571 102 0.55% 0.1855
53 c9m2_lots 539 0.41% 88 6.1250 76 0.41% 0.1410
54 l4d2_stadium3_city1 498 0.38% 97 5.1340 55 0.30% 0.1104
55 PR4_Quarter_F 491 0.38% 124 3.9597 64 0.35% 0.1303
56 dkr_m2_carnival 480 0.37% 136 3.5294 52 0.28% 0.1083
57 dkr_m1_motel 445 0.34% 95 4.6842 97 0.52% 0.2180
58 c11m5_runway 432 0.33% 56 7.7143 64 0.35% 0.1481
59 c11m2_offices 431 0.33% 102 4.2255 44 0.24% 0.1021
60 l4d2_vs_stadium2_riverwalk 426 0.33% 96 4.4375 55 0.30% 0.1291
61 c13m3_memorialbridge 423 0.32% 88 4.8068 49 0.26% 0.1158
62 c9m1_alleys 415 0.32% 43 9.6512 60 0.32% 0.1446
63 c3m3_shantytown 406 0.31% 58 7.0000 70 0.38% 0.1724
64 c14m2_lighthouse 397 0.30% 41 9.6829 76 0.41% 0.1914
65 c3m4_plantation 386 0.30% 72 5.3611 71 0.38% 0.1839
66 c3m1_plankcountry 380 0.29% 56 6.7857 67 0.36% 0.1763
67 c14m1_junkyard 376 0.29% 68 5.5294 43 0.23% 0.1144
68 l4d2_stadium4_city2 365 0.28% 62 5.8871 39 0.21% 0.1068
69 l4d2_stadium1_apartment 343 0.26% 75 4.5733 48 0.26% 0.1399
70 c3m2_swamp 300 0.23% 51 5.8824 52 0.28% 0.1733
71 nmrm5_rooftop 298 0.23% 64 4.6563 31 0.17% 0.1040
72 dkr_m4_ferris 282 0.22% 83 3.3976 36 0.19% 0.1277
73 pr1_waterfront_f 255 0.20% 69 3.6957 26 0.14% 0.1020
74 dprm2_sugarmill_a 250 0.19% 39 6.4103 34 0.18% 0.1360
75 dprm1_milltown_a 202 0.16% 29 6.9655 36 0.19% 0.1782
76 c13m1_alpinecreek 167 0.13% 55 3.0364 28 0.15% 0.1677
77 cf_m3_evac 139 0.11% 15 9.2667 22 0.12% 0.1583
78 cwm2_warehouse 123 0.09% 21 5.8571 11 0.06% 0.0894
79 cf_m5_highway 115 0.09% 18 6.3889 19 0.10% 0.1652
80 dkr_m5_stadium 115 0.09% 26 4.4231 17 0.09% 0.1478
81 dcr_m3_mall 107 0.08% 9 11.8889 15 0.08% 0.1402
82 dc2025_2 96 0.07% 12 8.0000 26 0.14% 0.2708
83 l4d2_stadium5_stadium 90 0.07% 13 6.9231 15 0.08% 0.1667
84 cwm1_intro 85 0.07% 12 7.0833 15 0.08% 0.1765
85 dprm3_sugarmill_b 80 0.06% 21 3.8095 4 0.02% 0.0500
86 cwm3_drain 80 0.06% 6 13.3333 7 0.04% 0.0875
87 dcr_m1_hotel 65 0.05% 3 21.6667 9 0.05% 0.1385
88 cf_m2_mall 60 0.05% 9 6.6667 12 0.06% 0.2000
89 dprm4_milltown_b 60 0.05% 15 4.0000 3 0.02% 0.0500
90 cf_m4_outskirts 60 0.05% 14 4.2857 16 0.09% 0.2667
91 cf_m1_town 56 0.04% 20 2.8000 2 0.01% 0.0357
92 dc2025_4 50 0.04% 13 3.8462 6 0.03% 0.1200
93 l4d_dbd2dc_anna_is_gone 47 0.04% 14 3.3571 14 0.08% 0.2979
94 l4d_dbd2dc_clean_up 47 0.04% 12 3.9167 9 0.05% 0.1915
95 l4d_dbd2dc_new_dawn 45 0.03% 15 3.0000 6 0.03% 0.1333
96 l4d2_diescraper1_apartment_361 45 0.03% 5 9.0000 8 0.04% 0.1778
97 l4d2_diescraper4_top_361 43 0.03% 7 6.1429 6 0.03% 0.1395
98 l4d_dbd2dc_the_mall 37 0.03% 12 3.0833 14 0.08% 0.3784
99 l4d2_diescraper2_streets_361 37 0.03% 16 2.3125 2 0.01% 0.0541
100 l4d_dbd2dc_undead_center 29 0.02% 13 2.2308 1 0.01% 0.0345
101 cdta_02road 27 0.02% 1 27.0000 3 0.02% 0.1111
102 PR5_Bridge_F 26 0.02% 1 26.0000 3 0.02% 0.1154
103 dcr_m2_streets 20 0.02% 12 1.6667 4 0.02% 0.2000
104 dc2025_3 19 0.01% 13 1.4615 4 0.02% 0.2105
105 cdta_01detour 11 0.01% 11 1.0000 0 0.00% 0.0000
106 l4d2_diescraper3_mid_361 8 0.01% 11 0.7273 1 0.01% 0.1250
107 dc2025_1 4 0.00% 2 2.0000 0 0.00% 0.0000




Items marked "*" above are generated from the last 28 days.
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