remagen_warfare_night

Remagen Warfare Night

26.02.2026 03:34 | Hot Dog 7 | The Outpost

Result

3:2

Axis wins

Players

170

Total Kills

2,222

Allied Kills

978

Axis Kills

1,244

Match Duration

90 min

Kills/Min

24.7

Normal Match ELO

Allies 1070.0 (all: 729.0)
Ø Match 1097.0
Axis 1125.0 (all: 770.0)

Player Statistics (170)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1016 158 11 14.36 2 1,562 200 1,420 485 85 min
#2 1256 82 21 3.9 0 1,271 460 920 115 87 min
#3 771 66 13 5.08 1 490 40 1,600 295 85 min
#4 1728 58 31 1.87 0 1,288 1,140 360 803 85 min
#5 1248 47 38 1.24 1 585 320 860 470 85 min
#6 998 39 27 1.44 0 495 440 880 250 82 min
#7 1086 37 30 1.23 2 391 680 780 1,684 85 min
#8 935 36 22 1.64 0 425 640 820 20 85 min
#9 473 35 6 5.83 3 1,510 380 1,260 105 85 min
#10 743 35 29 1.21 1 571 600 720 15 88 min
#11 810 34 13 2.62 3 368 60 1,420 7,058 85 min
#12 754 32 28 1.14 1 311 200 1,000 403 77 min
#13 885 31 19 1.63 0 527 320 1,160 105 85 min
#14 787 31 8 3.88 7 511 320 1,040 225 77 min
#15 979 29 25 1.16 0 618 420 820 2,345 85 min
#16 1075 29 19 1.53 0 531 600 680 385 77 min
#17 695 29 32 0.91 1 293 320 800 511 78 min
#18 998 28 17 1.65 0 425 160 460 25 42 min
#19 895 27 33 0.82 0 719 700 600 55 85 min
#20 1080 27 17 1.59 0 462 660 140 20 52 min
#21 837 27 23 1.17 0 308 640 780 150 85 min
#22 647 27 25 1.08 0 302 720 720 105 85 min
#23 800 26 23 1.13 0 318 480 900 80 87 min
#24 1612 26 10 2.6 0 254 320 200 85 34 min
#25 884 25 36 0.69 0 401 340 900 305 85 min
#26 709 24 34 0.71 0 912 260 1,040 1,765 86 min
#27 1006 24 14 1.71 0 892 800 700 85 86 min
#28 929 24 29 0.83 0 702 540 680 780 88 min
#29 844 24 31 0.77 0 680 840 360 264 85 min
#30 897 24 18 1.33 0 412 420 680 1,021 66 min
#31 639 24 16 1.5 0 202 560 900 25 85 min
#32 817 23 16 1.44 0 389 260 1,240 1,298 86 min
#33 933 23 32 0.72 0 351 240 1,140 865 85 min
#34 763 23 38 0.61 0 262 580 660 750 86 min
#35 717 22 35 0.63 0 1,193 640 740 545 87 min
#36 549 22 3 7.33 6 991 600 1,080 100 88 min
#37 993 22 31 0.71 3 648 560 480 5 76 min
#38 509 22 6 3.67 0 464 340 1,080 20 77 min
#39 751 22 25 0.88 1 329 840 620 167 85 min
#40 794 22 24 0.92 2 265 500 900 50 88 min
#41 949 22 10 2.2 0 245 60 340 60 30 min
#42 796 21 9 2.33 0 2,179 1,580 60 100 85 min
#43 516 21 9 2.33 2 558 220 860 5 60 min
#44 638 20 23 0.87 0 242 200 780 170 67 min
#45 834 20 28 0.71 1 237 620 840 1,835 85 min
#46 910 19 23 0.83 1 241 620 300 0 67 min
#47 747 19 17 1.12 0 202 400 140 5 35 min
#48 668 19 23 0.83 0 176 740 360 30 73 min
#49 720 18 7 2.57 2 1,447 380 1,240 120 85 min
#50 823 18 19 0.95 1 281 160 1,200 140 87 min
#51 738 18 26 0.69 1 207 520 760 270 86 min
#52 988 17 10 1.7 0 1,482 1,100 160 105 73 min
#53 514 17 2 8.5 3 613 220 420 105 35 min
#54 680 17 27 0.63 1 473 460 760 75 85 min
#55 760 17 30 0.57 0 318 260 580 1,375 56 min
#56 976 17 9 1.89 0 193 40 280 30 23 min
#57 621 16 22 0.73 0 895 1,200 220 684 84 min
#58 608 16 29 0.55 3 271 780 740 396 85 min
#59 646 16 15 1.07 0 205 40 1,580 95 85 min
#60 1048 16 29 0.55 0 193 500 400 10 65 min
#61 587 16 27 0.59 5 168 200 1,120 696 85 min
#62 761 16 20 0.8 0 163 480 640 493 77 min
#63 502 16 15 1.07 0 146 700 520 0 72 min
#64 821 15 11 1.36 0 1,902 380 1,260 70 85 min
#65 849 15 26 0.58 4 451 600 540 1,081 85 min
#66 819 15 25 0.6 2 380 420 680 1,296 78 min
#67 776 15 35 0.43 0 367 580 660 230 85 min
#68 749 15 16 0.94 0 208 460 1,060 35 85 min
#69 1006 15 13 1.15 0 169 320 160 0 34 min
#70 829 15 17 0.88 1 155 500 740 260 79 min
#71 988 14 30 0.47 0 384 780 500 606 85 min
#72 632 14 12 1.17 2 152 160 500 5 48 min
#73 787 13 15 0.87 0 136 720 340 121 61 min
#74 675 12 7 1.71 0 135 1,380 0 217 73 min
#75 945 11 16 0.69 3 268 660 160 430 52 min
#76 1024 11 10 1.1 0 182 140 380 498 38 min
#77 752 10 27 0.37 0 297 480 680 160 88 min
#78 744 10 11 0.91 0 170 80 260 90 27 min
#79 794 10 27 0.37 0 149 220 920 80 87 min
#80 715 10 20 0.5 0 106 220 440 20 52 min
#81 972 9 6 1.5 2 158 140 100 10 20 min
#82 712 8 9 0.89 0 377 620 240 498 49 min
#83 598 8 16 0.5 0 201 180 600 80 54 min
#84 492 8 23 0.35 0 155 500 980 95 85 min
#85 539 8 11 0.73 0 125 240 1,140 110 79 min
#86 617 8 17 0.47 1 117 240 540 125 55 min
#87 592 8 23 0.35 5 113 380 620 274 69 min
#88 667 8 9 0.89 2 73 260 340 225 42 min
#89 1022 7 7 1.0 0 210 100 600 2,145 43 min
#90 527 7 1 7.0 1 65 40 260 5 23 min
#91 593 7 10 0.7 0 63 300 60 75 25 min
#92 458 7 20 0.35 3 62 220 800 85 72 min
#93 550 6 14 0.43 0 841 1,260 220 75 85 min
#94 582 6 38 0.16 0 106 240 1,100 1,277 85 min
#95 605 6 15 0.4 0 97 420 220 50 46 min
#96 557 6 32 0.19 0 96 700 460 555 85 min
#97 674 6 10 0.6 1 63 360 40 0 25 min
#98 750 6 19 0.32 0 59 460 520 75 63 min
#99 731 6 5 1.2 1 50 200 120 185 22 min
#100 443 5 4 1.25 0 854 560 1,140 85 85 min
#101 906 5 7 0.71 0 282 180 460 1,220 34 min
#102 594 5 11 0.45 0 116 160 40 5 20 min
#103 639 5 19 0.26 0 103 300 440 700 52 min
#104 1036 5 12 0.42 0 54 20 440 360 36 min
#105 5 2 2.5 0 43 140 0 0 7 min
#106 500 4 6 0.67 0 1,372 380 1,260 135 85 min
#107 545 4 29 0.14 0 184 260 900 3,210 85 min
#108 853 4 1 4.0 0 139 100 260 354 28 min
#109 567 4 11 0.36 0 98 80 540 470 44 min
#110 474 4 3 1.33 0 91 80 500 0 33 min
#111 4 2 2.0 0 89 0 160 65 11 min
#112 541 4 8 0.5 0 72 220 100 0 23 min
#113 561 4 22 0.18 0 69 540 600 5 77 min
#114 611 3 3 1.0 0 78 300 260 65 42 min
#115 487 3 4 0.75 1 19 0 1,620 4,719 85 min
#116 631 2 3 0.67 0 85 180 0 215 16 min
#117 551 2 11 0.18 0 70 240 200 160 33 min
#118 454 2 10 0.2 0 69 220 460 135 44 min
#119 737 2 3 0.67 0 45 80 360 0 28 min
#120 483 2 34 0.06 0 38 380 900 225 85 min
#121 2 7 0.29 0 18 140 60 209 13 min
#122 694 2 1 2.0 0 15 0 340 0 19 min
#123 474 1 13 0.08 0 82 20 640 834 44 min
#124 447 1 5 0.2 0 74 40 320 150 27 min
#125 695 1 1 1.0 1 56 0 420 10 21 min
#126 1 3 0.33 0 25 0 140 184 12 min
#127 618 1 4 0.25 0 22 240 120 150 20 min
#128 1 1 1.0 0 20 0 60 0 5 min
#129 596 1 7 0.14 0 7 0 200 225 28 min
#130 420 0 9 0.0 0 504 160 940 25 60 min
#131 0 1 0.0 0 32 200 180 25 5 min
#132 0 3 0.0 1 12 60 100 5 11 min
#133 416 0 7 0.0 0 5 80 180 0 25 min
#134 598 0 4 0.0 0 5 220 80 0 23 min
#135 0 1 0.0 0 2 60 0 0 5 min
#136 0 1 0.0 1 1 0 100 0 8 min
#137 0 0 0.0 0 0 0 0 0 0 min
#138 0 2 0.0 0 0 0 100 0 9 min
#139 0 0 0.0 0 0 0 0 0 0 min
#140 0 0 0.0 0 0 0 0 0 3 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 0 0.0 0 0 0 0 0 0 min
#144 0 1 0.0 0 0 0 20 0 5 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 60 0 5 min
#149 0 0 0.0 0 0 0 0 0 85 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 0 0 1 min
#152 0 0 0.0 0 0 0 0 0 1 min
#153 0 1 0.0 0 0 0 40 0 8 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 292 0 2 0.0 0 0 0 140 5 28 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 0 0.0 0 0 0 0 0 0 min
#159 0 0 0.0 0 0 0 0 0 0 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 0 40 0 5 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 2 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 2 0.0 0 0 0 40 0 7 min
#167 0 0 0.0 0 0 0 0 0 85 min
#168 0 0 0.0 0 0 0 0 0 1 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 20 0 0 3 min