remagen_offensive_ger

Remagen Offensive Foggy GER attack

06.09.2025 23:06 | Glow's Battlegrounds :: US East

Result

5:0

Axis wins

Players

174

Total Kills

2,016

Allied Kills

1,030

Axis Kills

986

Match Duration

81 min

Kills/Min

24.8

High Match ELO

Allies 1560.0 (all: 855.0)
Ø Match 1346.0
Axis 1132.0 (all: 812.0)
Highly imbalanced

Player Statistics (174)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1544 65 20 3.25 0 737 160 1,240 85 77 min
#2 1388 62 17 3.65 2 978 60 1,360 45 77 min
#3 670 53 5 10.6 4 1,161 300 1,180 80 77 min
#4 1363 51 26 1.96 0 790 1,000 260 310 79 min
#5 816 47 28 1.68 0 633 660 540 30 77 min
#6 2355 45 17 2.65 1 1,132 340 200 175 36 min
#7 1317 41 19 2.16 0 952 1,260 100 951 77 min
#8 940 41 10 4.1 2 858 980 380 5,787 77 min
#9 1135 40 22 1.82 0 682 940 340 85 77 min
#10 786 40 17 2.35 0 455 40 1,280 440 77 min
#11 873 37 9 4.11 0 448 0 1,420 655 77 min
#12 1071 36 21 1.71 0 401 660 680 180 77 min
#13 1155 35 27 1.3 0 794 200 780 95 69 min
#14 1136 35 31 1.13 0 690 980 160 76 77 min
#15 1463 33 16 2.06 2 807 100 580 15 44 min
#16 1049 33 21 1.57 0 673 200 760 1,447 60 min
#17 891 33 24 1.38 0 321 720 560 215 79 min
#18 907 32 19 1.68 2 551 0 1,380 297 77 min
#19 858 32 23 1.39 0 472 520 740 95 77 min
#20 1200 32 22 1.45 0 464 440 540 2,490 77 min
#21 899 28 14 2.0 0 898 300 880 5 68 min
#22 758 28 24 1.17 0 555 380 940 50 77 min
#23 554 28 22 1.27 1 326 200 900 75 71 min
#24 934 27 34 0.79 0 937 980 200 650 77 min
#25 741 27 32 0.84 0 559 0 1,180 245 77 min
#26 841 27 43 0.63 1 523 280 760 5 76 min
#27 1118 27 18 1.5 0 472 480 280 200 51 min
#28 1842 26 10 2.6 0 270 180 220 156 28 min
#29 920 26 34 0.76 0 247 0 1,220 620 77 min
#30 975 25 6 4.17 0 1,122 320 1,160 240 77 min
#31 1023 25 27 0.93 0 398 720 380 5 79 min
#32 540 24 3 8.0 2 908 320 1,160 45 78 min
#33 579 24 4 6.0 0 606 40 700 10 47 min
#34 1044 24 23 1.04 0 268 560 620 300 71 min
#35 884 22 17 1.29 0 1,109 1,320 80 769 77 min
#36 785 22 27 0.81 0 698 1,040 260 310 77 min
#37 22 5 4.4 0 232 40 260 170 17 min
#38 870 22 23 0.96 0 230 680 580 5 77 min
#39 740 21 33 0.64 0 310 780 320 645 77 min
#40 938 20 17 1.18 0 622 1,160 200 478 77 min
#41 20 7 2.86 0 319 160 120 132 19 min
#42 1092 20 21 0.95 0 316 160 820 210 59 min
#43 1057 20 14 1.43 0 242 20 1,400 2,018 77 min
#44 943 19 23 0.83 0 650 700 400 650 71 min
#45 1064 18 12 1.5 0 515 20 580 251 37 min
#46 761 18 19 0.95 0 259 860 220 100 70 min
#47 773 17 14 1.21 1 934 20 1,340 85 77 min
#48 912 17 13 1.31 0 549 280 120 10 33 min
#49 791 17 36 0.47 0 467 1,000 120 815 77 min
#50 871 17 21 0.81 0 206 280 980 220 74 min
#51 780 17 27 0.63 0 165 20 1,140 985 75 min
#52 607 16 10 1.6 0 536 560 180 462 51 min
#53 1075 15 16 0.94 0 532 60 600 210 46 min
#54 736 15 27 0.56 0 371 240 540 20 53 min
#55 597 15 31 0.48 0 122 820 360 165 77 min
#56 864 14 29 0.48 0 201 40 1,160 1,343 77 min
#57 961 13 11 1.18 0 152 320 140 5 31 min
#58 1006 12 5 2.4 2 1,156 300 1,180 95 77 min
#59 687 12 33 0.36 0 165 280 940 563 79 min
#60 614 12 16 0.75 3 121 1,020 280 1,086 77 min
#61 620 11 11 1.0 0 953 20 1,380 0 77 min
#62 724 11 19 0.58 0 245 360 460 655 54 min
#63 505 11 21 0.52 0 125 0 520 85 44 min
#64 878 10 33 0.3 1 315 760 240 1,135 77 min
#65 808 10 11 0.91 0 290 160 1,100 439 75 min
#66 918 10 22 0.45 0 247 520 180 452 49 min
#67 705 10 15 0.67 0 244 120 1,240 1,085 77 min
#68 463 10 11 0.91 0 136 180 860 100 59 min
#69 752 10 26 0.38 0 113 100 1,040 2,720 77 min
#70 816 10 13 0.77 0 96 20 360 145 26 min
#71 639 9 18 0.5 1 1,206 1,080 160 80 77 min
#72 465 9 18 0.5 0 380 340 780 1,882 77 min
#73 751 9 26 0.35 0 261 700 480 3,350 77 min
#74 664 9 15 0.6 1 166 60 400 80 32 min
#75 897 9 19 0.47 0 103 680 520 1,377 72 min
#76 9 13 0.69 1 100 180 100 10 20 min
#77 792 8 12 0.67 0 957 20 1,340 210 77 min
#78 869 8 19 0.42 0 241 320 900 67 74 min
#79 8 4 2.0 0 123 160 20 15 15 min
#80 815 8 7 1.14 0 119 120 160 10 22 min
#81 992 8 17 0.47 0 78 320 440 0 48 min
#82 532 7 9 0.78 0 1,319 280 1,180 150 77 min
#83 744 7 18 0.39 3 132 160 840 335 69 min
#84 834 7 8 0.88 0 115 40 460 0 35 min
#85 656 7 15 0.47 1 63 20 1,300 1,058 77 min
#86 509 6 16 0.38 0 621 1,100 220 115 77 min
#87 431 6 13 0.46 2 167 540 260 185 63 min
#88 6 6 1.0 1 109 0 200 0 15 min
#89 578 6 13 0.46 0 60 0 560 25 35 min
#90 748 6 9 0.67 0 57 0 1,440 4,264 77 min
#91 639 5 3 1.67 2 614 40 760 35 46 min
#92 559 5 19 0.26 0 169 460 660 802 73 min
#93 5 3 1.67 0 157 40 40 70 17 min
#94 671 5 24 0.21 0 154 40 1,020 405 71 min
#95 482 5 20 0.25 0 104 260 1,020 310 77 min
#96 637 5 20 0.25 0 93 40 1,300 500 77 min
#97 5 5 1.0 0 84 0 160 5 10 min
#98 690 5 7 0.71 0 68 180 340 25 32 min
#99 578 5 20 0.25 0 60 720 280 165 78 min
#100 927 4 15 0.27 2 163 40 420 90 32 min
#101 519 4 13 0.31 0 96 60 840 220 55 min
#102 734 4 20 0.2 0 93 480 600 330 71 min
#103 685 4 14 0.29 0 60 160 940 1,255 77 min
#104 680 4 10 0.4 0 42 260 380 205 40 min
#105 529 3 34 0.09 0 244 840 200 180 77 min
#106 3 7 0.43 0 85 0 240 40 15 min
#107 493 3 7 0.43 0 80 0 300 305 38 min
#108 776 3 12 0.25 0 33 280 260 235 36 min
#109 734 3 5 0.6 0 32 80 260 80 21 min
#110 372 3 4 0.75 1 30 0 620 125 37 min
#111 3 5 0.6 0 26 20 200 125 18 min
#112 3 0 3.0 0 25 0 0 0 1 min
#113 656 3 3 1.0 0 22 440 420 0 47 min
#114 2 3 0.67 0 170 0 20 0 5 min
#115 2 4 0.5 0 68 0 80 0 8 min
#116 2 4 0.5 0 28 160 100 10 15 min
#117 2 4 0.5 0 24 80 200 165 18 min
#118 2 1 2.0 0 21 0 160 25 11 min
#119 570 2 6 0.33 0 19 0 520 5 29 min
#120 352 2 3 0.67 0 14 140 220 75 23 min
#121 589 2 6 0.33 0 13 0 320 75 22 min
#122 2 2 1.0 0 13 60 40 75 6 min
#123 2 1 2.0 0 12 0 20 0 1 min
#124 616 1 2 0.5 0 566 40 680 105 44 min
#125 1 5 0.2 0 35 100 540 130 16 min
#126 1 2 0.5 0 11 80 60 0 13 min
#127 1 0 1.0 0 9 0 120 0 6 min
#128 1 2 0.5 0 7 0 20 0 3 min
#129 1 0 1.0 0 7 0 20 25 6 min
#130 1 3 0.33 0 6 0 120 135 8 min
#131 469 0 2 0.0 0 844 200 1,140 245 69 min
#132 0 0 0.0 0 226 900 640 2,366 0 min
#133 540 0 8 0.0 0 9 60 380 0 34 min
#134 501 0 11 0.0 0 6 80 340 0 28 min
#135 0 1 0.0 0 5 0 40 0 2 min
#136 699 0 3 0.0 0 5 80 360 95 26 min
#137 0 3 0.0 0 3 0 140 0 11 min
#138 0 4 0.0 0 3 260 0 10 17 min
#139 0 5 0.0 0 1 0 120 0 11 min
#140 0 2 0.0 0 1 0 40 0 5 min
#141 0 1 0.0 1 1 100 60 0 14 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 0 0.0 0 0 0 0 0 52 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 7 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 0 0 1 min
#149 0 0 0.0 0 0 0 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 0 0 2 min
#152 0 0 0.0 0 0 0 120 0 7 min
#153 0 0 0.0 0 0 0 0 0 0 min
#154 0 0 0.0 0 0 0 0 0 10 min
#155 0 0 0.0 0 0 0 0 0 1 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 1 0.0 0 0 0 220 0 12 min
#158 0 0 0.0 0 0 0 0 0 2 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 0 0 2 min
#161 0 0 0.0 0 0 0 20 0 14 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 0 0 1 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 60 0 4 min
#167 0 5 0.0 0 0 0 60 70 10 min
#168 0 0 0.0 0 0 0 40 0 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 0 min
#172 0 0 0.0 0 0 0 20 0 3 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 0 0 0 min