mortain_offensiveUS_dusk

Mortain Offensive Dawn US attack

21.07.2025 16:49 | POWERBITS GAMETEAM HLL OFFENSIVE | LOW PING

Result

2:3

Allied wins

Players

198

Total Kills

1,893

Allied Kills

832

Axis Kills

1,061

Match Duration

78 min

Kills/Min

24.4

High Match ELO

Allies 1129.0 (all: 782.0)
Ø Match 1217.0
Axis 1304.0 (all: 848.0)
Imbalanced

Player Statistics (198)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 969 52 37 1.41 0 728 20 1,180 375 73 min
#2 1150 51 12 4.25 0 397 140 780 25 52 min
#3 1053 41 22 1.86 0 961 0 1,240 961 73 min
#4 927 41 31 1.32 1 941 200 920 15 73 min
#5 871 40 29 1.38 1 430 880 300 25 73 min
#6 914 39 11 3.55 1 573 900 460 6,963 73 min
#7 1039 39 22 1.77 0 561 880 160 1,179 63 min
#8 1190 36 33 1.09 0 611 280 900 55 73 min
#9 826 36 32 1.12 0 528 100 1,100 260 73 min
#10 983 36 27 1.33 0 428 0 1,160 505 73 min
#11 1085 35 32 1.09 0 296 40 1,140 50 73 min
#12 652 32 14 2.29 0 356 0 1,360 30 75 min
#13 1664 31 9 3.44 0 365 140 440 15 34 min
#14 1404 30 6 5.0 1 572 60 1,360 3,680 73 min
#15 1260 29 18 1.61 0 857 1,160 140 2,620 73 min
#16 845 29 14 2.07 1 268 1,120 200 0 73 min
#17 1077 28 38 0.74 1 461 0 860 45 72 min
#18 1010 27 35 0.77 0 809 860 140 10 73 min
#19 679 27 6 4.5 1 740 480 720 2,075 66 min
#20 1136 27 22 1.23 0 597 700 180 365 61 min
#21 903 27 11 2.45 0 560 660 100 315 49 min
#22 998 27 21 1.29 0 419 960 100 760 64 min
#23 1164 26 43 0.6 0 388 700 100 845 63 min
#24 746 25 1 25.0 2 373 0 400 0 21 min
#25 982 24 19 1.26 0 791 0 600 30 49 min
#26 1058 24 21 1.14 2 508 100 740 0 51 min
#27 834 24 20 1.2 0 328 20 1,280 1,329 73 min
#28 1358 23 16 1.44 0 296 340 40 0 30 min
#29 733 22 25 0.88 1 549 20 1,120 0 74 min
#30 817 22 13 1.69 2 393 420 200 330 55 min
#31 793 22 28 0.79 0 386 600 120 10 50 min
#32 833 20 17 1.18 0 553 140 700 307 51 min
#33 1032 20 4 5.0 2 370 0 800 0 50 min
#34 812 20 11 1.82 0 268 0 980 90 54 min
#35 1348 20 14 1.43 0 136 20 600 10 38 min
#36 996 19 21 0.9 0 303 360 60 0 35 min
#37 730 19 11 1.73 0 190 0 1,280 1,840 73 min
#38 1738 18 6 3.0 0 322 0 400 15 23 min
#39 1252 18 17 1.06 0 279 380 120 25 34 min
#40 1104 18 11 1.64 4 240 480 140 10 40 min
#41 821 18 17 1.06 0 157 500 60 80 36 min
#42 1039 17 16 1.06 0 209 0 720 430 44 min
#43 754 17 10 1.7 0 185 0 820 65 46 min
#44 765 16 13 1.23 0 259 560 560 65 63 min
#45 715 16 9 1.78 0 230 520 180 105 38 min
#46 873 15 13 1.15 0 320 0 1,240 142 70 min
#47 765 15 31 0.48 1 171 740 80 10 58 min
#48 803 15 31 0.48 0 171 720 160 240 64 min
#49 713 15 22 0.68 0 163 0 1,200 1,205 73 min
#50 1063 14 12 1.17 1 466 420 40 5 31 min
#51 742 14 20 0.7 0 210 700 100 145 52 min
#52 14 3 4.67 0 136 0 220 10 12 min
#53 659 13 22 0.59 0 773 380 1,140 272 64 min
#54 852 13 3 4.33 0 399 160 380 95 29 min
#55 825 13 18 0.72 0 295 0 1,120 35 72 min
#56 704 13 4 3.25 0 167 0 480 15 27 min
#57 569 13 11 1.18 3 166 60 1,140 155 72 min
#58 1090 13 6 2.17 1 107 160 0 20 22 min
#59 626 12 22 0.55 2 242 560 100 165 51 min
#60 1268 12 6 2.0 0 194 0 540 1,524 32 min
#61 740 12 11 1.09 1 174 20 660 100 40 min
#62 889 12 23 0.52 0 115 360 220 0 43 min
#63 606 11 9 1.22 1 671 0 1,320 993 73 min
#64 942 11 11 1.0 0 255 380 0 215 26 min
#65 807 11 15 0.73 0 225 460 20 80 35 min
#66 937 11 10 1.1 0 99 260 40 80 21 min
#67 1141 10 10 1.0 0 155 0 320 5 19 min
#68 1140 10 9 1.11 3 102 0 480 5 38 min
#69 10 7 1.43 0 85 0 180 70 14 min
#70 731 9 6 1.5 0 367 0 1,280 3,085 72 min
#71 9 6 1.5 0 235 200 20 0 13 min
#72 821 9 5 1.8 0 147 0 360 0 23 min
#73 682 9 17 0.53 1 135 80 800 35 55 min
#74 633 9 14 0.64 0 117 100 720 100 50 min
#75 497 9 19 0.47 0 97 500 100 10 41 min
#76 770 9 3 3.0 0 65 0 500 0 43 min
#77 598 8 4 2.0 1 297 220 520 0 39 min
#78 696 8 19 0.42 4 198 500 120 0 45 min
#79 655 8 4 2.0 0 151 0 300 5 22 min
#80 572 8 32 0.25 0 123 860 200 0 73 min
#81 746 8 12 0.67 0 111 0 360 5 25 min
#82 693 8 17 0.47 1 108 660 100 85 51 min
#83 631 8 12 0.67 0 82 560 60 80 38 min
#84 8 2 4.0 3 68 0 260 0 15 min
#85 840 7 14 0.5 0 82 480 100 10 39 min
#86 929 7 10 0.7 0 79 480 20 100 35 min
#87 408 6 4 1.5 1 300 220 520 90 39 min
#88 654 6 9 0.67 0 207 140 520 391 37 min
#89 721 6 6 1.0 0 181 0 980 1,550 56 min
#90 6 4 1.5 0 79 200 260 100 12 min
#91 565 6 4 1.5 0 58 20 280 75 21 min
#92 637 6 10 0.6 0 50 320 60 20 24 min
#93 6 7 0.86 0 49 0 220 15 15 min
#94 576 6 9 0.67 0 47 0 340 0 22 min
#95 6 1 6.0 0 44 80 140 0 14 min
#96 794 5 8 0.62 1 806 600 720 2,120 74 min
#97 724 5 6 0.83 2 132 400 660 122 61 min
#98 893 5 13 0.38 0 131 240 0 105 17 min
#99 576 5 5 1.0 0 116 0 300 0 18 min
#100 451 5 11 0.45 0 76 180 320 55 34 min
#101 466 5 36 0.14 1 71 880 240 15 73 min
#102 5 2 2.5 0 63 0 160 10 9 min
#103 833 5 10 0.5 0 45 280 120 15 29 min
#104 723 5 9 0.56 0 43 420 20 495 31 min
#105 435 4 1 4.0 0 404 0 500 90 26 min
#106 562 4 7 0.57 5 153 0 220 0 20 min
#107 521 4 18 0.22 0 121 560 740 235 73 min
#108 795 4 5 0.8 0 68 200 1,300 5,333 51 min
#109 643 4 11 0.36 0 47 0 340 15 22 min
#110 4 4 1.0 1 43 120 80 10 14 min
#111 4 9 0.44 0 43 160 60 65 14 min
#112 527 4 5 0.8 0 43 20 440 0 28 min
#113 4 4 1.0 0 42 80 0 0 8 min
#114 644 4 6 0.67 0 41 280 60 55 22 min
#115 436 4 22 0.18 0 39 660 280 540 71 min
#116 695 4 5 0.8 0 35 0 360 148 22 min
#117 4 5 0.8 0 35 0 100 0 7 min
#118 4 6 0.67 0 33 160 0 0 10 min
#119 854 4 4 1.0 0 29 280 60 125 21 min
#120 676 3 7 0.43 7 159 380 700 50 62 min
#121 3 9 0.33 0 83 140 20 25 14 min
#122 3 7 0.43 0 81 0 120 5 14 min
#123 741 3 8 0.38 0 38 260 60 0 23 min
#124 627 3 19 0.16 0 35 460 100 0 37 min
#125 396 3 17 0.18 0 33 380 200 0 44 min
#126 775 3 6 0.5 0 29 0 220 155 18 min
#127 577 3 5 0.6 0 29 140 100 0 17 min
#128 658 3 7 0.43 0 27 240 40 0 19 min
#129 3 2 1.5 0 25 40 20 0 7 min
#130 2 5 0.4 0 80 40 120 0 12 min
#131 762 2 8 0.25 0 30 260 80 350 21 min
#132 593 2 5 0.4 0 29 0 300 70 17 min
#133 750 2 8 0.25 0 24 260 40 5 21 min
#134 2 1 2.0 0 21 0 120 55 6 min
#135 2 0 2.0 0 20 260 0 85 14 min
#136 635 2 3 0.67 0 19 260 0 0 16 min
#137 2 2 1.0 0 18 0 200 10 15 min
#138 604 2 22 0.09 1 15 640 160 968 54 min
#139 2 2 1.0 0 12 0 100 5 5 min
#140 1 3 0.33 0 177 0 240 705 15 min
#141 816 1 12 0.08 0 37 300 0 600 28 min
#142 691 1 6 0.17 0 25 220 80 0 21 min
#143 752 1 23 0.04 0 20 440 320 65 53 min
#144 1 6 0.17 0 15 0 180 5 11 min
#145 1 5 0.2 1 9 40 120 0 14 min
#146 1 4 0.25 0 9 0 60 0 6 min
#147 620 1 5 0.2 0 8 320 60 105 31 min
#148 463 1 5 0.2 0 6 160 80 0 18 min
#149 1 5 0.2 0 4 20 80 0 10 min
#150 1 3 0.33 0 4 120 0 25 7 min
#151 1 2 0.5 0 3 0 240 0 14 min
#152 1 1 1.0 0 3 0 60 150 7 min
#153 0 1 0.0 0 89 120 40 35 9 min
#154 0 0 0.0 0 87 0 300 350 21 min
#155 534 0 5 0.0 0 83 0 220 210 17 min
#156 0 0 0.0 0 16 0 60 0 4 min
#157 0 1 0.0 0 4 60 0 0 3 min
#158 0 2 0.0 0 2 60 0 0 4 min
#159 0 2 0.0 0 2 60 0 0 6 min
#160 0 0 0.0 0 2 40 20 0 2 min
#161 0 2 0.0 0 2 60 0 5 8 min
#162 0 0 0.0 0 1 0 60 15 3 min
#163 0 1 0.0 0 1 0 20 0 4 min
#164 0 3 0.0 0 1 100 0 0 7 min
#165 0 2 0.0 0 1 60 20 0 7 min
#166 0 3 0.0 0 1 80 0 0 5 min
#167 0 2 0.0 0 1 0 60 0 6 min
#168 0 0 0.0 0 0 0 0 75 3 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 0 0 6 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 1 0.0 0 0 0 320 0 17 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 0 0 0 min
#176 0 1 0.0 0 0 0 0 0 2 min
#177 0 1 0.0 0 0 0 20 0 2 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 0 0.0 0 0 0 0 0 1 min
#181 0 0 0.0 0 0 0 60 0 8 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 1 0.0 0 0 0 0 0 2 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 1 0.0 0 0 0 0 0 0 min
#191 0 0 0.0 0 0 0 20 0 1 min
#192 0 1 0.0 0 0 200 320 150 17 min
#193 0 3 0.0 0 0 20 0 0 4 min
#194 0 0 0.0 0 0 0 0 0 0 min
#195 0 0 0.0 0 0 0 0 0 0 min
#196 0 0 0.0 0 0 0 0 0 0 min
#197 0 0 0.0 0 0 0 0 0 0 min
#198 0 1 0.0 0 0 0 60 0 6 min