mortain_offensiveus_dusk

Mortain Offensive Dawn US attack

05.01.2025 01:09 | Lost Legion 1

Result

3:2

Axis wins

Players

159

Total Kills

1,066

Allied Kills

479

Axis Kills

587

Match Duration

52 min

Kills/Min

20.4

Match ELO is not yet available for this round; it will be updated after the next ELO run.

Player Statistics (159)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 55 9 6.11 0 371 120 800 0 48 min
#2 37 5 7.4 0 207 120 800 0 48 min
#3 32 9 3.56 0 210 100 760 30 48 min
#4 32 9 3.56 0 207 20 860 200 48 min
#5 28 14 2.0 0 183 260 580 60 48 min
#6 27 8 3.38 0 398 220 400 0 35 min
#7 27 5 5.4 0 174 0 920 0 48 min
#8 25 17 1.47 0 190 60 740 160 48 min
#9 25 16 1.56 2 175 300 480 30 48 min
#10 24 13 1.85 0 186 80 800 340 48 min
#11 24 15 1.6 0 183 60 740 0 47 min
#12 24 19 1.26 0 156 240 420 30 48 min
#13 22 13 1.69 0 150 320 500 0 48 min
#14 22 13 1.69 1 143 360 460 90 48 min
#15 22 15 1.47 0 130 220 600 65 48 min
#16 21 18 1.17 1 143 260 540 510 48 min
#17 21 16 1.31 0 116 160 640 190 48 min
#18 17 4 4.25 2 245 260 420 0 43 min
#19 17 19 0.89 0 110 160 640 20 48 min
#20 17 7 2.43 0 108 160 380 0 34 min
#21 16 11 1.45 1 105 160 720 60 48 min
#22 16 6 2.67 0 96 100 360 0 28 min
#23 15 20 0.75 0 116 200 340 60 37 min
#24 15 12 1.25 0 105 100 760 0 50 min
#25 15 15 1.0 0 96 120 720 0 48 min
#26 14 13 1.08 0 87 120 720 0 48 min
#27 14 11 1.27 0 81 40 520 570 35 min
#28 13 3 4.33 0 122 220 1,200 865 48 min
#29 13 24 0.54 4 81 120 600 63 48 min
#30 13 9 1.44 1 81 100 520 0 36 min
#31 12 1 12.0 4 254 160 640 0 42 min
#32 12 15 0.8 3 102 200 580 30 48 min
#33 12 11 1.09 0 95 40 760 50 48 min
#34 12 16 0.75 1 94 240 560 327 47 min
#35 12 5 2.4 0 78 180 400 30 34 min
#36 11 19 0.58 0 112 120 620 170 48 min
#37 11 21 0.52 2 108 400 740 30 48 min
#38 11 9 1.22 0 98 440 500 941 29 min
#39 11 9 1.22 0 92 380 460 420 48 min
#40 11 18 0.61 1 87 80 780 380 48 min
#41 11 16 0.69 0 81 140 640 120 48 min
#42 11 16 0.69 1 77 300 480 1,025 48 min
#43 11 24 0.46 0 69 200 480 60 48 min
#44 11 10 1.1 0 65 160 520 0 41 min
#45 10 5 2.0 0 103 120 440 227 33 min
#46 10 12 0.83 0 75 180 500 90 43 min
#47 9 4 2.25 0 60 0 280 0 52 min
#48 9 12 0.75 1 60 300 500 0 47 min
#49 9 16 0.56 0 57 240 520 240 48 min
#50 8 4 2.0 2 236 260 400 0 43 min
#51 8 6 1.33 0 66 160 460 0 38 min
#52 8 13 0.62 0 51 120 700 30 50 min
#53 8 12 0.67 0 48 60 760 25 48 min
#54 7 10 0.7 2 143 100 1,280 60 48 min
#55 7 5 1.4 0 98 200 280 30 28 min
#56 7 11 0.64 0 54 200 680 160 48 min
#57 7 11 0.64 0 48 180 680 0 48 min
#58 7 11 0.64 0 45 80 640 90 46 min
#59 7 6 1.17 0 42 120 260 30 25 min
#60 7 18 0.39 0 39 60 720 275 48 min
#61 6 16 0.38 1 50 100 520 0 49 min
#62 6 10 0.6 0 33 180 420 50 47 min
#63 5 1 5.0 1 254 160 640 0 42 min
#64 5 4 1.25 0 38 0 180 0 12 min
#65 5 5 1.0 1 30 100 420 90 32 min
#66 5 10 0.5 0 27 200 580 30 48 min
#67 5 8 0.62 0 27 200 260 0 34 min
#68 4 13 0.31 0 160 20 720 0 48 min
#69 4 8 0.5 0 45 60 680 30 45 min
#70 4 9 0.44 0 38 40 780 0 34 min
#71 4 5 0.8 0 35 120 180 0 23 min
#72 4 6 0.67 0 24 220 200 0 36 min
#73 4 3 1.33 0 24 0 940 2,770 48 min
#74 4 3 1.33 0 21 60 60 0 11 min
#75 3 5 0.6 1 21 0 600 0 39 min
#76 3 6 0.5 0 21 0 400 0 28 min
#77 3 16 0.19 0 21 180 600 420 48 min
#78 3 2 1.5 0 21 40 120 0 12 min
#79 3 2 1.5 0 18 0 300 0 18 min
#80 3 2 1.5 0 18 60 260 0 19 min
#81 3 8 0.38 0 18 200 280 0 28 min
#82 3 6 0.5 0 17 140 540 0 42 min
#83 2 15 0.13 1 33 220 1,060 150 48 min
#84 2 10 0.2 0 20 140 400 140 36 min
#85 2 5 0.4 0 20 120 720 31 37 min
#86 2 7 0.29 0 15 20 260 0 22 min
#87 2 1 2.0 1 15 40 40 0 4 min
#88 2 18 0.11 1 12 60 380 0 34 min
#89 2 1 2.0 0 12 0 140 0 12 min
#90 2 5 0.4 0 9 20 180 0 12 min
#91 1 10 0.1 0 33 400 460 60 29 min
#92 1 5 0.2 0 24 140 440 30 12 min
#93 1 3 0.33 0 14 80 120 25 14 min
#94 1 6 0.17 1 9 40 720 0 37 min
#95 1 4 0.25 0 9 80 140 30 12 min
#96 1 5 0.2 0 8 140 280 90 24 min
#97 1 10 0.1 0 6 100 460 0 45 min
#98 1 4 0.25 0 6 20 400 0 29 min
#99 1 16 0.06 0 3 140 580 370 48 min
#100 1 2 0.5 0 3 0 160 0 13 min
#101 1 1 1.0 0 3 0 260 0 16 min
#102 0 0 0.0 0 183 100 300 0 22 min
#103 0 0 0.0 0 12 120 380 0 48 min
#104 0 0 0.0 0 10 0 220 700 10 min
#105 0 3 0.0 0 5 120 80 40 11 min
#106 0 7 0.0 0 5 60 240 0 22 min
#107 0 2 0.0 0 0 0 280 0 29 min
#108 0 2 0.0 0 0 0 140 0 11 min
#109 0 2 0.0 1 0 0 60 0 8 min
#110 0 1 0.0 0 0 0 60 0 6 min
#111 0 0 0.0 0 0 0 0 0 1 min
#112 0 0 0.0 0 0 0 0 0 0 min
#113 0 0 0.0 0 0 0 0 0 1 min
#114 0 1 0.0 0 0 0 120 0 11 min
#115 0 3 0.0 0 0 0 60 0 7 min
#116 0 2 0.0 0 0 80 40 0 8 min
#117 0 0 0.0 0 0 0 0 0 0 min
#118 0 0 0.0 0 0 0 0 0 0 min
#119 0 1 0.0 1 0 0 120 0 8 min
#120 0 0 0.0 0 0 0 0 0 2 min
#121 0 0 0.0 0 0 0 0 0 1 min
#122 0 0 0.0 0 0 0 0 0 2 min
#123 0 3 0.0 0 0 0 40 0 7 min
#124 0 2 0.0 0 0 0 120 0 9 min
#125 0 0 0.0 0 0 0 0 0 2 min
#126 0 6 0.0 0 0 0 560 0 41 min
#127 0 2 0.0 0 0 0 40 0 4 min
#128 0 1 0.0 0 0 0 100 0 5 min
#129 0 1 0.0 0 0 0 100 0 7 min
#130 0 0 0.0 0 0 0 0 0 1 min
#131 0 0 0.0 0 0 0 0 0 48 min
#132 0 0 0.0 0 0 0 0 0 0 min
#133 0 0 0.0 0 0 0 0 0 0 min
#134 0 0 0.0 0 0 0 0 0 0 min
#135 0 0 0.0 0 0 0 140 0 9 min
#136 0 0 0.0 0 0 0 60 0 4 min
#137 0 0 0.0 0 0 0 0 0 0 min
#138 0 2 0.0 0 0 0 60 0 5 min
#139 0 4 0.0 0 0 20 180 0 12 min
#140 0 0 0.0 0 0 0 40 0 4 min
#141 0 0 0.0 0 0 0 0 0 0 min
#142 0 0 0.0 0 0 0 0 0 0 min
#143 0 4 0.0 0 0 0 80 0 7 min
#144 0 1 0.0 0 0 0 220 30 14 min
#145 0 3 0.0 0 0 40 100 30 10 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 0 1 0.0 0 0 0 140 0 12 min
#148 0 5 0.0 0 0 0 140 0 8 min
#149 0 1 0.0 0 0 20 60 0 7 min
#150 0 0 0.0 0 0 0 20 0 1 min
#151 0 1 0.0 0 0 0 60 0 5 min
#152 0 2 0.0 0 0 0 140 10 9 min
#153 0 1 0.0 0 0 0 60 0 4 min
#154 0 10 0.0 0 0 200 240 60 30 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 2 0.0 0 0 20 120 0 11 min
#157 0 0 0.0 0 0 0 140 0 9 min
#158 0 0 0.0 0 0 0 0 0 1 min
#159 0 0 0.0 0 0 20 0 0 2 min