mortain_offensiveger_dusk

Mortain Offensive Dawn GER attack

04.01.2026 15:37 | Oktogon_4

Result

5:0

Axis wins

Players

192

Total Kills

2,661

Allied Kills

1,289

Axis Kills

1,372

Match Duration

95 min

Kills/Min

28.1

Normal Match ELO

Allies 1091.0 (all: 718.0)
Ø Match 1137.0
Axis 1182.0 (all: 792.0)

Player Statistics (192)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1408 80 43 1.86 2 1,382 200 1,200 2,317 91 min
#2 1258 78 26 3.0 0 1,725 120 1,140 105 83 min
#3 1460 67 23 2.91 0 985 900 200 25 68 min
#4 1022 65 17 3.82 0 1,400 860 760 151 90 min
#5 1105 62 49 1.27 6 1,189 240 960 375 91 min
#6 1092 60 40 1.5 0 1,373 0 1,300 3,410 93 min
#7 961 53 31 1.71 0 650 1,080 220 35 83 min
#8 1009 51 23 2.22 0 508 660 640 150 86 min
#9 1256 49 31 1.58 1 1,106 960 260 150 86 min
#10 1033 46 9 5.11 7 1,151 360 700 4,253 61 min
#11 991 46 33 1.39 0 1,029 1,000 440 155 88 min
#12 987 44 27 1.63 2 632 1,020 480 155 90 min
#13 760 44 49 0.9 1 603 80 1,240 385 90 min
#14 897 42 41 1.02 0 569 0 1,240 2,980 92 min
#15 994 39 43 0.91 2 1,056 160 1,120 1,094 91 min
#16 1389 39 8 4.88 0 738 420 60 5 28 min
#17 726 35 33 1.06 0 849 860 520 380 90 min
#18 737 34 16 2.12 1 340 1,060 480 75 91 min
#19 747 33 25 1.32 0 467 800 700 45 90 min
#20 721 33 36 0.92 0 391 1,000 340 940 90 min
#21 726 33 17 1.94 0 334 180 680 130 62 min
#22 1044 32 32 1.0 1 1,116 1,060 380 4,127 91 min
#23 817 31 28 1.11 0 740 160 920 85 73 min
#24 769 31 22 1.41 0 517 800 180 30 69 min
#25 780 30 22 1.36 1 544 60 1,260 205 84 min
#26 1086 30 31 0.97 2 421 980 340 1,229 92 min
#27 1337 29 5 5.8 0 381 420 60 243 28 min
#28 722 29 28 1.04 0 259 980 340 265 84 min
#29 604 28 7 4.0 2 1,583 780 760 45 87 min
#30 912 28 29 0.97 1 520 860 200 355 71 min
#31 727 28 14 2.0 0 275 160 1,320 5,999 85 min
#32 592 28 35 0.8 0 261 100 1,280 65 90 min
#33 1203 27 23 1.17 0 295 40 580 15 50 min
#34 776 27 10 2.7 5 280 20 1,560 4,830 86 min
#35 670 27 54 0.5 2 276 20 1,220 1,415 90 min
#36 662 27 31 0.87 2 258 760 380 0 91 min
#37 860 27 30 0.9 0 257 880 240 920 80 min
#38 612 25 22 1.14 0 232 0 820 755 55 min
#39 746 24 23 1.04 0 1,235 920 520 1,301 89 min
#40 778 24 33 0.73 1 449 820 460 497 86 min
#41 982 24 7 3.43 0 317 320 340 15 41 min
#42 763 24 21 1.14 0 208 0 1,540 1,954 93 min
#43 610 23 35 0.66 0 326 900 340 20 84 min
#44 781 23 27 0.85 0 251 300 1,160 525 90 min
#45 1018 23 11 2.09 0 251 640 220 30 55 min
#46 842 22 23 0.96 1 415 740 240 445 63 min
#47 917 22 15 1.47 0 388 220 740 15 61 min
#48 612 22 18 1.22 0 312 20 800 80 53 min
#49 1144 22 16 1.38 0 253 20 980 1,113 62 min
#50 708 22 38 0.58 0 229 20 1,260 545 86 min
#51 765 21 48 0.44 0 607 40 1,200 1,420 91 min
#52 529 21 11 1.91 0 197 60 700 30 52 min
#53 768 20 14 1.43 0 676 160 1,220 485 80 min
#54 1247 20 11 1.82 1 481 280 380 30 42 min
#55 599 20 25 0.8 0 313 1,060 420 195 90 min
#56 846 20 18 1.11 2 295 60 1,200 140 88 min
#57 719 20 14 1.43 1 260 100 680 30 53 min
#58 487 20 27 0.74 0 230 20 1,340 65 89 min
#59 593 20 18 1.11 0 212 340 480 185 55 min
#60 541 20 30 0.67 0 188 880 380 110 87 min
#61 828 19 10 1.9 0 1,499 880 820 205 91 min
#62 750 19 5 3.8 3 512 340 20 794 24 min
#63 732 19 5 3.8 1 512 340 300 0 39 min
#64 557 19 22 0.86 0 207 1,060 320 280 85 min
#65 559 19 15 1.27 1 199 0 700 345 50 min
#66 971 19 12 1.58 0 156 460 420 325 57 min
#67 797 18 15 1.2 0 1,514 1,380 260 816 90 min
#68 946 18 16 1.12 2 683 80 460 5 39 min
#69 748 18 25 0.72 1 351 680 300 590 63 min
#70 651 18 29 0.62 0 181 880 320 135 79 min
#71 688 17 24 0.71 0 493 600 80 45 48 min
#72 615 17 27 0.63 0 259 900 520 75 90 min
#73 851 17 19 0.89 0 257 580 80 10 48 min
#74 783 17 21 0.81 0 256 640 320 70 63 min
#75 16 4 4.0 0 288 40 100 75 11 min
#76 735 16 13 1.23 1 164 80 820 5 60 min
#77 796 15 27 0.56 1 219 0 760 75 54 min
#78 570 15 16 0.94 0 208 640 260 15 57 min
#79 704 15 16 0.94 0 161 120 780 75 66 min
#80 558 14 24 0.58 0 683 680 720 394 90 min
#81 721 14 36 0.39 0 237 860 660 695 90 min
#82 829 14 18 0.78 0 227 20 580 240 40 min
#83 904 14 13 1.08 0 199 640 120 380 49 min
#84 663 13 32 0.41 1 258 940 100 10 73 min
#85 956 12 10 1.2 0 145 60 280 10 24 min
#86 694 11 13 0.85 0 164 80 460 150 36 min
#87 739 11 15 0.73 1 116 220 480 185 48 min
#88 772 9 13 0.69 0 381 1,340 280 5 90 min
#89 845 9 3 3.0 0 97 280 240 265 29 min
#90 9 4 2.25 0 79 180 0 0 13 min
#91 484 8 38 0.21 0 222 1,040 420 948 90 min
#92 735 8 20 0.4 2 143 120 1,180 120 90 min
#93 652 8 5 1.6 0 83 0 320 0 21 min
#94 421 7 17 0.41 3 209 40 1,440 125 93 min
#95 693 7 6 1.17 0 91 0 320 0 23 min
#96 488 7 19 0.37 0 83 60 760 160 54 min
#97 530 7 15 0.47 0 81 560 200 95 50 min
#98 511 7 15 0.47 0 69 0 340 25 30 min
#99 447 6 21 0.29 1 135 100 1,300 25 92 min
#100 759 6 13 0.46 0 117 0 560 105 38 min
#101 758 6 24 0.25 0 105 240 760 640 70 min
#102 474 6 26 0.23 0 67 60 1,180 105 77 min
#103 771 6 13 0.46 0 63 340 120 0 36 min
#104 6 3 2.0 0 63 0 100 0 12 min
#105 693 6 8 0.75 0 60 80 440 5 36 min
#106 461 5 14 0.36 1 132 40 800 10 55 min
#107 609 5 10 0.5 0 62 480 180 150 51 min
#108 537 5 4 1.25 0 53 0 300 20 19 min
#109 646 5 4 1.25 0 49 220 120 15 19 min
#110 674 5 4 1.25 0 49 0 260 30 17 min
#111 588 5 7 0.71 0 41 0 340 75 26 min
#112 729 4 6 0.67 2 232 340 380 0 41 min
#113 873 4 12 0.33 0 58 0 480 270 34 min
#114 624 4 12 0.33 0 51 200 420 415 44 min
#115 559 4 13 0.31 1 48 400 100 0 37 min
#116 698 4 7 0.57 0 37 0 320 140 32 min
#117 542 4 9 0.44 0 36 260 80 0 25 min
#118 642 3 8 0.38 1 284 480 1,160 4,360 92 min
#119 526 3 9 0.33 0 43 160 200 0 26 min
#120 860 3 5 0.6 0 35 0 280 10 19 min
#121 3 2 1.5 0 31 0 100 0 7 min
#122 607 2 17 0.12 0 123 480 40 35 38 min
#123 688 2 25 0.08 1 103 820 400 75 91 min
#124 396 2 7 0.29 7 37 0 660 30 41 min
#125 2 3 0.67 0 24 0 80 0 7 min
#126 525 2 3 0.67 3 24 0 720 0 42 min
#127 430 2 5 0.4 0 24 180 40 0 16 min
#128 2 3 0.67 0 22 0 140 90 11 min
#129 664 2 8 0.25 0 20 80 120 5 16 min
#130 2 2 1.0 0 19 0 100 0 7 min
#131 668 2 5 0.4 0 15 100 260 0 27 min
#132 733 2 11 0.18 4 15 220 220 155 31 min
#133 431 1 13 0.08 0 230 0 880 232 58 min
#134 677 1 6 0.17 0 161 100 220 0 23 min
#135 1 6 0.17 0 63 0 140 90 12 min
#136 593 1 1 1.0 0 59 0 340 514 18 min
#137 1 0 1.0 0 55 0 60 0 4 min
#138 510 1 7 0.14 0 24 80 340 80 27 min
#139 1 5 0.2 0 19 20 160 0 14 min
#140 1 1 1.0 0 19 140 40 75 12 min
#141 1 2 0.5 0 17 0 120 0 8 min
#142 700 1 12 0.08 0 16 320 200 490 32 min
#143 1 1 1.0 0 13 0 60 5 6 min
#144 1 1 1.0 0 11 0 100 75 8 min
#145 400 1 4 0.25 0 11 0 200 0 17 min
#146 1 2 0.5 0 11 0 100 50 9 min
#147 699 1 16 0.06 0 10 660 340 65 70 min
#148 1 4 0.25 0 8 0 60 0 6 min
#149 1 1 1.0 0 8 0 60 0 7 min
#150 529 0 11 0.0 0 52 0 520 135 34 min
#151 0 4 0.0 0 17 0 100 65 9 min
#152 0 0 0.0 0 8 0 40 0 3 min
#153 594 0 4 0.0 0 8 0 180 0 28 min
#154 708 0 2 0.0 0 6 220 180 0 24 min
#155 0 2 0.0 2 5 40 120 75 11 min
#156 0 3 0.0 0 4 0 120 5 12 min
#157 0 5 0.0 0 3 0 200 5 15 min
#158 0 2 0.0 0 2 40 60 0 8 min
#159 904 0 6 0.0 0 2 60 140 175 16 min
#160 0 7 0.0 0 1 0 200 150 15 min
#161 0 2 0.0 0 1 80 40 0 11 min
#162 0 1 0.0 0 1 80 60 0 7 min
#163 0 4 0.0 0 1 60 0 0 6 min
#164 0 3 0.0 0 1 0 100 0 8 min
#165 0 1 0.0 0 1 80 0 0 6 min
#166 0 0 0.0 0 0 0 40 0 4 min
#167 0 1 0.0 0 0 0 0 0 4 min
#168 0 1 0.0 0 0 0 0 0 3 min
#169 0 0 0.0 0 0 40 0 0 3 min
#170 430 0 23 0.0 0 0 0 380 530 34 min
#171 0 1 0.0 0 0 0 60 0 6 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 2 0.0 0 0 0 60 0 15 min
#175 0 0 0.0 0 0 0 0 0 0 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 60 0 5 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 2 0.0 0 0 0 40 10 6 min
#181 0 0 0.0 0 0 20 20 0 3 min
#182 0 0 0.0 0 0 0 0 0 9 min
#183 0 0 0.0 0 0 0 0 0 1 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 4 0.0 0 0 0 180 75 12 min
#186 0 2 0.0 0 0 0 140 0 9 min
#187 0 0 0.0 0 0 0 20 0 4 min
#188 0 0 0.0 0 0 0 0 0 1 min
#189 0 0 0.0 2 0 0 60 0 10 min
#190 0 0 0.0 0 0 0 0 0 3 min
#191 0 0 0.0 0 0 0 0 0 1 min
#192 0 0 0.0 0 0 0 20 50 6 min