stmereeglise_warfare_night

St. Mere Eglise Warfare Night

25.01.2026 17:24 | [GER] Sandkasten der 106. Panzerbrigade

Result

0:5

Allied wins

Players

196

Total Kills

2,301

Allied Kills

1,168

Axis Kills

1,133

Match Duration

81 min

Kills/Min

28.4

Very High Match ELO

Allies 1513.0 (all: 907.0)
Ø Match 1417.0
Axis 1322.0 (all: 846.0)
Imbalanced

Player Statistics (196)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 2189 100 29 3.45 0 1,353 380 740 425 76 min
#2 2058 83 34 2.44 0 1,550 380 720 170 76 min
#3 703 52 6 8.67 0 1,308 580 880 235 76 min
#4 867 47 44 1.07 0 602 540 460 50 76 min
#5 1466 47 15 3.13 0 410 300 600 45 54 min
#6 1050 45 29 1.55 0 646 140 960 355 78 min
#7 1175 45 19 2.37 0 528 420 800 95 76 min
#8 1001 41 36 1.14 3 665 380 680 185 79 min
#9 984 40 31 1.29 0 448 540 600 15 76 min
#10 1524 39 26 1.5 0 694 700 540 1,277 76 min
#11 1622 39 25 1.56 0 496 240 680 985 62 min
#12 817 37 22 1.68 4 835 320 560 170 59 min
#13 998 37 21 1.76 3 779 440 480 350 66 min
#14 1063 37 28 1.32 1 744 400 720 543 76 min
#15 800 36 20 1.8 0 934 1,080 140 123 76 min
#16 1436 36 13 2.77 0 713 180 420 65 37 min
#17 740 34 8 4.25 0 2,018 440 980 145 76 min
#18 853 33 25 1.32 2 738 500 440 90 64 min
#19 850 33 11 3.0 0 481 1,120 260 105 76 min
#20 1119 33 17 1.94 1 412 120 1,180 2,650 76 min
#21 852 33 18 1.83 0 307 500 680 135 76 min
#22 1652 32 24 1.33 0 338 80 400 50 39 min
#23 826 31 17 1.82 0 340 140 1,020 225 76 min
#24 1141 31 21 1.48 4 299 500 720 1,336 73 min
#25 910 30 5 6.0 1 658 280 340 155 36 min
#26 967 29 25 1.16 1 1,083 740 400 220 76 min
#27 1058 29 18 1.61 0 380 300 740 1,830 62 min
#28 874 29 30 0.97 0 295 520 520 5 69 min
#29 789 27 16 1.69 0 461 420 420 70 58 min
#30 1234 26 13 2.0 0 252 0 640 50 40 min
#31 842 25 22 1.14 0 357 180 660 90 55 min
#32 632 25 11 2.27 0 234 80 500 0 40 min
#33 1151 24 26 0.92 0 951 1,020 200 251 76 min
#34 1174 24 4 6.0 0 359 60 300 10 21 min
#35 23 3 7.67 0 204 180 20 20 14 min
#36 1323 22 12 1.83 0 985 340 400 50 55 min
#37 1170 22 19 1.16 0 679 1,160 160 1,435 76 min
#38 1229 22 29 0.76 0 556 140 1,040 1,293 76 min
#39 796 22 1 22.0 1 460 20 320 10 20 min
#40 769 22 38 0.58 0 425 40 1,100 135 76 min
#41 1569 21 21 1.0 1 538 120 460 140 45 min
#42 1063 21 13 1.62 0 317 460 40 236 35 min
#43 884 21 8 2.62 5 221 540 880 5,584 76 min
#44 1186 20 4 5.0 0 1,200 240 740 125 52 min
#45 807 20 26 0.77 1 567 840 400 898 76 min
#46 729 20 30 0.67 0 486 400 620 365 76 min
#47 861 19 30 0.63 0 500 240 540 170 63 min
#48 1198 19 16 1.19 0 208 560 540 1,557 66 min
#49 857 18 27 0.67 4 272 60 1,000 30 79 min
#50 714 18 14 1.29 0 199 600 100 80 45 min
#51 883 18 17 1.06 1 172 320 360 60 47 min
#52 823 17 16 1.06 0 340 820 200 75 71 min
#53 771 17 28 0.61 0 299 280 900 916 76 min
#54 671 17 35 0.49 0 188 400 680 50 76 min
#55 819 16 19 0.84 1 461 720 240 20 71 min
#56 740 16 15 1.07 0 174 100 260 140 33 min
#57 788 16 36 0.44 1 159 480 540 15 76 min
#58 680 16 20 0.8 1 136 200 420 95 48 min
#59 927 15 30 0.5 0 269 320 760 841 72 min
#60 929 14 12 1.17 7 335 340 1,060 3,639 76 min
#61 1221 14 12 1.17 0 207 160 140 160 23 min
#62 697 14 21 0.67 0 122 340 480 549 76 min
#63 628 14 36 0.39 1 112 600 320 145 76 min
#64 553 13 9 1.44 0 1,863 400 980 35 76 min
#65 688 13 7 1.86 1 1,257 560 840 125 76 min
#66 622 13 38 0.34 2 663 700 300 1,650 76 min
#67 670 13 7 1.86 0 172 180 160 75 26 min
#68 791 12 11 1.09 0 311 260 280 5 41 min
#69 952 12 9 1.33 1 292 220 140 376 22 min
#70 782 12 20 0.6 1 219 40 800 145 53 min
#71 726 12 33 0.36 1 206 400 680 605 75 min
#72 1415 12 14 0.86 0 116 120 260 255 31 min
#73 1050 11 15 0.73 0 489 480 180 530 43 min
#74 758 11 7 1.57 1 203 20 1,380 1,857 76 min
#75 712 11 19 0.58 0 144 280 280 180 50 min
#76 612 11 26 0.42 0 139 280 860 395 74 min
#77 775 11 10 1.1 0 122 260 240 120 34 min
#78 11 9 1.22 0 84 100 160 80 19 min
#79 856 10 34 0.29 0 303 100 1,060 2,149 76 min
#80 601 10 20 0.5 0 291 280 960 95 79 min
#81 688 10 13 0.77 1 160 320 960 330 76 min
#82 943 10 12 0.83 0 83 180 240 20 27 min
#83 9 5 1.8 0 223 0 200 65 17 min
#84 665 9 36 0.25 0 90 140 1,040 45 76 min
#85 788 9 9 1.0 0 89 260 140 10 26 min
#86 574 8 12 0.67 0 237 100 1,220 1,425 76 min
#87 655 8 25 0.32 0 134 420 500 120 61 min
#88 828 7 8 0.88 0 576 800 140 340 63 min
#89 990 7 15 0.47 0 137 160 300 180 38 min
#90 896 7 6 1.17 0 119 200 60 215 22 min
#91 7 3 2.33 0 84 80 60 5 11 min
#92 569 7 7 1.0 0 75 60 480 890 34 min
#93 633 6 2 3.0 0 195 160 160 15 22 min
#94 471 6 15 0.4 4 146 300 980 285 76 min
#95 1119 6 12 0.5 0 104 280 140 300 26 min
#96 634 6 8 0.75 0 94 480 300 10 62 min
#97 642 6 19 0.32 0 61 360 480 565 67 min
#98 6 4 1.5 0 54 80 140 85 17 min
#99 6 5 1.2 1 42 80 180 125 16 min
#100 594 5 12 0.42 0 195 160 120 5 21 min
#101 745 5 12 0.42 0 114 80 660 510 47 min
#102 5 2 2.5 0 103 0 140 50 17 min
#103 621 5 21 0.24 2 56 80 460 345 42 min
#104 533 5 7 0.71 1 54 220 100 30 30 min
#105 5 4 1.25 0 52 40 200 0 17 min
#106 488 5 15 0.33 0 48 420 400 0 52 min
#107 626 4 21 0.19 1 984 640 460 780 72 min
#108 510 4 22 0.18 1 607 580 100 85 59 min
#109 622 4 9 0.44 0 93 160 100 10 20 min
#110 667 4 35 0.11 0 89 360 740 310 77 min
#111 475 4 30 0.13 0 75 220 740 190 73 min
#112 472 4 27 0.15 1 53 520 520 320 76 min
#113 4 9 0.44 0 52 120 20 225 18 min
#114 4 7 0.57 0 51 100 180 5 18 min
#115 4 3 1.33 0 40 100 40 0 12 min
#116 4 5 0.8 0 39 0 140 85 12 min
#117 677 4 8 0.5 0 36 220 120 0 23 min
#118 4 1 4.0 0 32 40 100 226 11 min
#119 975 4 10 0.4 0 21 200 40 130 21 min
#120 565 3 8 0.38 2 1,091 560 820 165 79 min
#121 821 3 15 0.2 0 81 180 540 315 49 min
#122 3 3 1.0 0 68 0 200 690 15 min
#123 735 3 8 0.38 0 49 40 340 20 24 min
#124 3 5 0.6 0 31 180 40 0 15 min
#125 682 3 8 0.38 0 28 220 20 0 33 min
#126 3 4 0.75 0 25 0 300 0 20 min
#127 3 4 0.75 0 22 0 120 0 10 min
#128 939 2 3 0.67 0 317 500 60 373 28 min
#129 686 2 21 0.1 0 79 580 320 90 72 min
#130 392 2 18 0.11 0 76 180 740 375 61 min
#131 2 4 0.5 0 71 0 180 0 13 min
#132 2 7 0.29 0 69 60 40 30 8 min
#133 578 2 10 0.2 3 47 200 680 175 67 min
#134 501 2 6 0.33 1 33 200 100 30 23 min
#135 503 2 15 0.13 0 23 140 580 200 47 min
#136 2 1 2.0 0 22 0 40 5 4 min
#137 2 4 0.5 0 21 60 80 0 10 min
#138 752 1 11 0.09 0 1,716 420 940 260 76 min
#139 1 7 0.14 0 20 60 120 0 16 min
#140 1 5 0.2 0 16 60 60 75 10 min
#141 1 3 0.33 0 14 60 60 0 10 min
#142 1 4 0.25 0 14 0 40 0 8 min
#143 1 4 0.25 0 13 40 100 20 13 min
#144 1 1 1.0 0 9 20 20 35 9 min
#145 1 6 0.17 0 9 20 160 80 15 min
#146 1 2 0.5 0 4 0 0 5 7 min
#147 0 0 0.0 0 459 140 300 10 19 min
#148 0 4 0.0 0 452 200 60 0 17 min
#149 0 6 0.0 0 9 0 140 0 14 min
#150 0 1 0.0 0 4 40 80 10 6 min
#151 0 2 0.0 0 3 40 0 0 4 min
#152 0 5 0.0 0 3 60 140 0 15 min
#153 764 0 5 0.0 0 2 20 320 125 23 min
#154 0 3 0.0 0 2 40 20 0 6 min
#155 0 2 0.0 0 1 0 0 0 1 min
#156 0 5 0.0 0 1 0 60 5 15 min
#157 0 2 0.0 0 1 0 60 0 6 min
#158 0 0 0.0 0 0 0 0 0 3 min
#159 0 0 0.0 0 0 0 0 0 1 min
#160 0 0 0.0 0 0 0 0 0 0 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 1 0.0 0 0 40 40 0 6 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 20 0 5 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 1 min
#167 0 0 0.0 0 0 0 0 0 2 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 0 0 5 min
#170 0 0 0.0 0 0 0 0 0 1 min
#171 0 0 0.0 0 0 0 0 0 1 min
#172 0 1 0.0 0 0 0 0 0 4 min
#173 0 1 0.0 0 0 0 0 0 4 min
#174 0 0 0.0 0 0 0 0 0 1 min
#175 0 3 0.0 0 0 40 80 0 10 min
#176 0 0 0.0 0 0 0 0 0 3 min
#177 0 4 0.0 0 0 0 40 25 9 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 0 0 7 min
#180 0 0 0.0 0 0 0 0 0 0 min
#181 0 0 0.0 0 0 0 0 0 7 min
#182 0 6 0.0 0 0 100 20 5 12 min
#183 0 0 0.0 0 0 0 0 0 7 min
#184 0 1 0.0 0 0 0 240 0 10 min
#185 0 0 0.0 0 0 0 0 0 17 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 0 0.0 0 0 0 20 0 3 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 0 0.0 0 0 0 0 0 2 min
#190 0 0 0.0 0 0 0 0 0 0 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 0 0.0 0 0 0 0 0 0 min
#193 0 0 0.0 0 0 0 0 0 4 min
#194 0 0 0.0 0 0 0 0 0 4 min
#195 0 1 0.0 0 0 20 0 0 3 min
#196 0 0 0.0 0 0 0 0 0 1 min