elalamein_offensive_CW

El Alamein Offensive Day B8A attack

08.02.2026 19:15 | ROTN OnlyToes

Result

1:4

Allied wins

Players

184

Total Kills

2,092

Allied Kills

985

Axis Kills

1,107

Match Duration

80 min

Kills/Min

26.1

Normal Match ELO

Allies 1109.0 (all: 777.0)
Ø Match 1127.0
Axis 1145.0 (all: 780.0)

Player Statistics (184)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 935 63 22 2.86 0 510 240 1,100 75 76 min
#2 636 56 0 56.0 3 951 0 1,320 0 65 min
#3 1398 51 3 17.0 0 457 320 500 65 42 min
#4 1097 47 16 2.94 2 1,534 540 800 5,219 76 min
#5 46 17 2.71 0 630 460 720 375 0 min
#6 1025 45 28 1.61 0 434 320 960 185 78 min
#7 1250 45 0 45.0 1 391 0 400 10 24 min
#8 1238 44 33 1.33 0 512 160 1,040 396 76 min
#9 747 42 28 1.5 0 453 360 900 200 76 min
#10 1078 41 28 1.46 0 522 220 1,040 200 76 min
#11 1011 40 30 1.33 0 444 560 660 490 76 min
#12 833 39 4 9.75 2 1,101 160 1,180 0 75 min
#13 964 38 43 0.88 0 546 540 580 670 77 min
#14 719 36 11 3.27 1 597 340 1,080 545 76 min
#15 1122 35 25 1.4 1 459 160 1,100 745 76 min
#16 34 20 1.7 0 400 100 1,200 110 0 min
#17 1017 33 21 1.57 1 474 220 1,060 200 76 min
#18 1099 33 25 1.32 0 394 200 1,060 2,645 76 min
#19 998 32 25 1.28 0 346 220 1,080 533 76 min
#20 1128 31 18 1.72 1 413 280 500 100 57 min
#21 862 31 16 1.94 0 358 340 1,000 75 76 min
#22 1187 30 16 1.88 0 303 260 400 1,405 43 min
#23 922 30 10 3.0 5 250 240 1,140 100 76 min
#24 966 28 5 5.6 0 392 0 1,140 2,326 65 min
#25 1246 26 12 2.17 0 379 40 560 60 36 min
#26 1341 26 5 5.2 0 294 20 560 1,130 33 min
#27 660 26 11 2.36 0 263 340 660 90 57 min
#28 732 25 28 0.89 3 578 300 980 255 78 min
#29 909 25 22 1.14 0 282 560 600 175 76 min
#30 902 25 9 2.78 0 229 0 660 75 40 min
#31 791 24 18 1.33 0 232 220 580 730 56 min
#32 697 23 4 5.75 0 997 200 1,180 215 72 min
#33 689 23 39 0.59 1 357 520 620 90 78 min
#34 941 22 13 1.69 0 527 220 320 5 35 min
#35 776 22 15 1.47 0 225 0 660 150 43 min
#36 735 22 18 1.22 0 219 180 920 310 76 min
#37 755 21 36 0.58 0 543 540 560 10 76 min
#38 923 21 16 1.31 0 265 200 620 45 58 min
#39 668 21 30 0.7 1 208 260 960 80 76 min
#40 635 20 35 0.57 0 254 280 920 225 76 min
#41 755 20 14 1.43 1 242 20 760 20 49 min
#42 938 19 9 2.11 0 224 40 480 280 33 min
#43 662 18 13 1.38 1 496 700 640 716 76 min
#44 851 18 14 1.29 1 214 60 640 15 54 min
#45 682 18 15 1.2 0 173 40 500 180 35 min
#46 806 17 22 0.77 0 1,205 1,040 200 529 76 min
#47 695 17 7 2.43 0 852 60 1,240 30 70 min
#48 703 17 23 0.74 1 380 200 640 615 55 min
#49 699 16 17 0.94 0 235 440 860 0 76 min
#50 915 15 24 0.62 0 262 300 680 170 68 min
#51 1355 15 8 1.88 0 198 140 160 20 26 min
#52 1157 15 25 0.6 1 176 220 1,040 380 76 min
#53 1019 14 20 0.7 1 574 100 1,180 1,735 76 min
#54 878 14 17 0.82 0 235 160 780 120 58 min
#55 738 14 28 0.5 0 149 480 680 455 76 min
#56 659 14 7 2.0 0 134 0 520 0 36 min
#57 741 13 19 0.68 0 461 800 380 345 70 min
#58 798 13 22 0.59 0 319 160 1,060 295 76 min
#59 791 13 24 0.54 0 314 240 720 690 61 min
#60 743 13 22 0.59 0 266 40 540 150 49 min
#61 632 13 19 0.68 0 246 60 700 60 54 min
#62 603 12 21 0.57 0 198 140 780 90 60 min
#63 706 12 16 0.75 5 159 400 500 270 59 min
#64 779 12 22 0.55 0 154 300 460 690 54 min
#65 652 12 16 0.75 0 139 360 500 205 54 min
#66 805 11 22 0.5 0 158 60 620 100 53 min
#67 753 11 13 0.85 0 127 40 380 95 34 min
#68 818 10 35 0.29 0 310 340 800 4,668 76 min
#69 647 10 15 0.67 0 241 560 320 450 59 min
#70 692 10 16 0.62 0 173 100 640 105 51 min
#71 1126 10 19 0.53 0 161 120 1,100 1,270 76 min
#72 759 10 12 0.83 6 136 40 680 300 46 min
#73 835 10 6 1.67 0 91 100 160 100 19 min
#74 721 9 13 0.69 0 319 400 260 460 41 min
#75 671 9 31 0.29 3 268 300 860 1,368 76 min
#76 561 9 7 1.29 0 202 200 1,100 625 76 min
#77 627 9 21 0.43 0 158 240 1,100 1,670 76 min
#78 673 9 10 0.9 0 123 220 680 190 51 min
#79 721 9 11 0.82 2 109 240 400 5 40 min
#80 507 9 9 1.0 0 103 180 820 10 57 min
#81 571 8 6 1.33 2 679 60 1,200 5 69 min
#82 699 8 13 0.62 1 200 80 1,320 3,956 76 min
#83 612 8 8 1.0 1 188 20 760 145 52 min
#84 761 8 16 0.5 1 94 100 1,080 930 70 min
#85 726 8 12 0.67 0 88 260 260 785 38 min
#86 1023 8 10 0.8 0 79 220 180 115 27 min
#87 849 7 11 0.64 0 73 0 600 900 41 min
#88 1083 7 4 1.75 0 72 0 220 310 17 min
#89 685 7 14 0.5 2 68 120 480 185 40 min
#90 827 7 4 1.75 0 62 20 240 0 18 min
#91 844 6 4 1.5 1 948 180 1,220 2,005 76 min
#92 787 6 12 0.5 0 113 60 880 375 55 min
#93 831 6 17 0.35 0 85 0 880 900 53 min
#94 781 6 3 2.0 0 82 60 260 117 18 min
#95 743 6 22 0.27 0 71 520 760 1,065 76 min
#96 778 6 8 0.75 1 68 520 540 0 60 min
#97 817 6 11 0.55 0 63 0 480 570 36 min
#98 688 6 10 0.6 1 56 300 420 0 43 min
#99 646 5 6 0.83 0 75 280 320 45 35 min
#100 5 7 0.71 0 58 0 220 0 15 min
#101 758 5 9 0.56 0 50 120 240 115 25 min
#102 800 4 13 0.31 2 170 200 1,060 1,359 72 min
#103 681 4 18 0.22 0 110 60 760 15 54 min
#104 475 4 4 1.0 0 60 140 200 0 19 min
#105 724 4 4 1.0 0 54 0 300 0 18 min
#106 688 4 6 0.67 0 46 100 180 85 19 min
#107 486 4 14 0.29 0 44 160 1,160 20 76 min
#108 946 4 4 1.0 0 41 60 140 5 16 min
#109 649 4 17 0.24 0 36 0 620 1,950 40 min
#110 477 4 7 0.57 0 25 20 260 20 25 min
#111 677 3 4 0.75 1 960 200 1,240 250 76 min
#112 790 3 15 0.2 0 143 0 1,000 981 60 min
#113 701 3 18 0.17 0 53 240 640 70 66 min
#114 389 3 15 0.2 0 42 0 420 120 31 min
#115 493 3 15 0.2 0 42 0 220 79 21 min
#116 3 2 1.5 0 40 20 120 0 9 min
#117 3 2 1.5 0 36 0 100 0 9 min
#118 823 3 6 0.5 0 30 120 160 5 18 min
#119 477 3 9 0.33 0 30 0 300 5 22 min
#120 685 3 6 0.5 0 29 0 240 5 19 min
#121 690 3 21 0.14 0 29 40 420 75 40 min
#122 3 7 0.43 0 27 120 240 55 0 min
#123 624 3 8 0.38 0 27 20 320 5 23 min
#124 813 2 5 0.4 0 995 160 1,200 360 75 min
#125 2 0 2.0 0 167 60 40 0 10 min
#126 2 5 0.4 0 67 60 80 0 33 min
#127 754 2 7 0.29 0 45 120 280 150 28 min
#128 647 2 18 0.11 0 33 220 300 705 39 min
#129 519 2 14 0.14 0 28 0 240 80 20 min
#130 435 2 6 0.33 0 25 0 160 75 15 min
#131 711 2 12 0.17 0 23 80 360 1,415 33 min
#132 637 2 7 0.29 0 21 160 200 1,150 28 min
#133 766 2 7 0.29 0 21 80 180 385 20 min
#134 737 2 2 1.0 0 18 80 200 90 18 min
#135 2 4 0.5 0 16 0 100 0 8 min
#136 486 1 18 0.06 2 67 240 520 90 49 min
#137 817 1 5 0.2 0 29 120 160 5 16 min
#138 1 1 1.0 0 18 20 80 0 9 min
#139 903 1 5 0.2 0 16 120 140 415 16 min
#140 1 2 0.5 0 16 0 180 25 10 min
#141 556 1 11 0.09 0 13 20 240 125 20 min
#142 1 1 1.0 0 12 40 120 10 10 min
#143 1 1 1.0 0 12 0 60 0 6 min
#144 581 1 15 0.07 0 11 0 300 320 21 min
#145 1 1 1.0 0 11 40 60 0 6 min
#146 1 1 1.0 0 8 60 80 75 8 min
#147 1 2 0.5 0 7 0 40 0 4 min
#148 1 7 0.14 1 7 0 140 0 10 min
#149 695 0 4 0.0 1 972 200 1,260 335 76 min
#150 424 0 12 0.0 0 17 160 680 300 58 min
#151 0 4 0.0 0 13 140 100 640 14 min
#152 465 0 3 0.0 0 9 0 320 181 18 min
#153 524 0 7 0.0 0 7 100 200 5 23 min
#154 0 2 0.0 0 5 20 140 0 8 min
#155 763 0 16 0.0 0 4 200 400 800 39 min
#156 531 0 6 0.0 0 2 120 360 210 32 min
#157 0 1 0.0 0 1 0 0 0 2 min
#158 0 4 0.0 0 0 0 100 0 6 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 0 0 1 min
#161 0 0 0.0 0 0 0 0 0 76 min
#162 468 0 8 0.0 0 0 0 360 75 26 min
#163 0 0 0.0 0 0 0 0 0 3 min
#164 0 0 0.0 0 0 0 0 0 6 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 2 min
#167 0 3 0.0 0 0 40 60 0 11 min
#168 0 2 0.0 0 0 40 40 0 9 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 0 0 0 76 min
#171 0 0 0.0 0 0 0 0 0 0 min
#172 0 0 0.0 0 0 0 0 0 1 min
#173 0 0 0.0 0 0 0 0 0 1 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 0 0 1 min
#176 0 0 0.0 0 0 0 0 0 3 min
#177 0 0 0.0 0 0 0 0 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 1 0.0 0 0 20 40 0 4 min
#181 0 1 0.0 0 0 0 20 0 4 min
#182 0 0 0.0 0 0 0 0 0 0 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