elalamein_offensive_ger

El Alamein Offensive Day DAK attack

30.01.2026 21:23 | [82AD] Band of Brothers

Result

3:2

Axis wins

Players

173

Total Kills

1,542

Allied Kills

875

Axis Kills

667

Match Duration

67 min

Kills/Min

22.9

Normal Match ELO

Allies 1220.0 (all: 773.0)
Ø Match 1172.0
Axis 1124.0 (all: 790.0)

Player Statistics (173)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 862 65 13 5.0 0 601 480 660 120 63 min
#2 846 59 6 9.83 0 1,411 340 840 40 64 min
#3 991 44 14 3.14 0 644 80 820 45 58 min
#4 928 37 14 2.64 0 478 640 360 5 60 min
#5 800 37 15 2.47 0 351 0 1,100 65 63 min
#6 1407 36 3 12.0 2 1,207 0 1,180 1,415 63 min
#7 1389 35 8 4.38 0 519 0 1,160 4,734 63 min
#8 1108 35 6 5.83 0 339 80 520 161 37 min
#9 836 29 5 5.8 0 242 60 560 5 34 min
#10 1332 28 9 3.11 1 448 500 160 375 38 min
#11 1112 26 16 1.62 0 438 560 460 1,411 63 min
#12 923 25 14 1.79 0 302 400 240 0 38 min
#13 785 25 9 2.78 0 217 0 1,140 948 64 min
#14 799 24 14 1.71 0 649 340 640 170 65 min
#15 817 24 32 0.75 0 290 760 160 105 65 min
#16 701 24 21 1.14 0 202 0 1,060 1,045 64 min
#17 838 23 15 1.53 0 462 640 460 15 64 min
#18 860 23 8 2.88 0 271 200 540 115 44 min
#19 591 22 4 5.5 0 505 20 940 5 50 min
#20 950 22 22 1.0 0 301 680 80 80 52 min
#21 747 22 9 2.44 0 299 0 1,140 2,368 63 min
#22 981 21 22 0.95 0 390 700 60 285 52 min
#23 1099 21 9 2.33 0 193 280 200 0 34 min
#24 782 18 11 1.64 0 470 600 540 408 63 min
#25 709 18 24 0.75 0 185 20 940 25 64 min
#26 662 18 5 3.6 0 173 20 660 25 42 min
#27 726 17 6 2.83 1 339 420 520 460 60 min
#28 649 17 8 2.12 0 249 240 760 327 55 min
#29 845 17 14 1.21 0 203 0 1,120 470 64 min
#30 719 17 19 0.89 0 201 0 800 20 54 min
#31 819 17 18 0.94 0 190 420 500 35 62 min
#32 575 17 19 0.89 1 174 540 420 55 63 min
#33 832 17 21 0.81 1 164 0 720 352 44 min
#34 16 2 8.0 0 307 0 200 0 10 min
#35 832 16 19 0.84 1 153 740 280 345 65 min
#36 911 15 19 0.79 0 835 760 240 95 63 min
#37 710 15 31 0.48 0 183 40 900 265 63 min
#38 882 15 13 1.15 0 154 60 600 395 45 min
#39 588 15 8 1.88 0 150 20 700 60 44 min
#40 1032 14 13 1.08 1 719 380 660 185 65 min
#41 898 14 8 1.75 0 416 0 1,120 2,194 63 min
#42 792 14 14 1.0 0 124 20 480 5 35 min
#43 726 13 9 1.44 0 235 560 580 45 63 min
#44 1313 13 7 1.86 0 174 160 120 25 29 min
#45 678 13 22 0.59 0 145 100 880 350 64 min
#46 757 12 8 1.5 0 559 160 380 25 39 min
#47 747 12 20 0.6 0 308 820 180 1,116 63 min
#48 808 12 12 1.0 0 266 900 80 65 58 min
#49 827 12 9 1.33 1 188 0 1,100 1,268 64 min
#50 12 6 2.0 0 133 0 220 80 15 min
#51 645 12 14 0.86 1 128 0 980 405 63 min
#52 598 11 13 0.85 0 209 300 780 2,151 65 min
#53 1008 11 18 0.61 0 136 360 160 125 40 min
#54 11 8 1.38 0 121 0 240 5 17 min
#55 572 11 8 1.38 0 115 260 700 0 55 min
#56 972 10 25 0.4 0 284 500 520 1,150 63 min
#57 505 10 24 0.42 0 150 640 340 163 63 min
#58 1154 10 7 1.43 2 147 340 260 105 36 min
#59 509 10 18 0.56 1 143 0 1,000 490 64 min
#60 781 10 10 1.0 0 135 440 240 110 45 min
#61 511 10 12 0.83 1 101 80 880 260 62 min
#62 774 10 11 0.91 0 101 280 40 185 26 min
#63 864 10 9 1.11 0 100 240 160 105 28 min
#64 636 9 9 1.0 0 135 0 1,000 2,922 63 min
#65 616 9 32 0.28 0 89 520 340 710 63 min
#66 562 9 5 1.8 0 68 60 540 50 44 min
#67 1127 8 7 1.14 0 837 420 100 105 31 min
#68 733 8 9 0.89 0 164 40 620 55 40 min
#69 720 8 36 0.22 0 119 100 720 5 63 min
#70 1029 8 17 0.47 0 90 400 260 0 48 min
#71 8 6 1.33 0 72 120 40 50 12 min
#72 8 3 2.67 0 70 0 300 105 18 min
#73 2050 7 3 2.33 1 1,176 0 1,200 363 63 min
#74 807 7 17 0.41 0 377 700 280 80 62 min
#75 688 7 21 0.33 0 172 660 240 1,415 63 min
#76 560 7 5 1.4 1 120 220 280 15 28 min
#77 557 7 26 0.27 1 101 0 940 20 63 min
#78 7 10 0.7 0 92 0 280 5 19 min
#79 821 7 13 0.54 0 86 400 100 160 33 min
#80 654 7 6 1.17 0 79 160 160 175 28 min
#81 505 7 3 2.33 0 78 620 300 170 55 min
#82 661 7 36 0.19 0 75 500 440 650 64 min
#83 545 7 28 0.25 1 75 520 400 315 63 min
#84 815 7 10 0.7 0 58 480 660 135 63 min
#85 513 6 4 1.5 0 257 60 540 80 34 min
#86 723 6 12 0.5 0 64 520 140 160 45 min
#87 627 5 7 0.71 1 153 0 980 683 66 min
#88 635 5 4 1.25 0 102 0 1,140 1,680 63 min
#89 742 5 12 0.42 0 60 140 720 0 53 min
#90 5 6 0.83 0 59 0 280 20 20 min
#91 664 5 5 1.0 0 45 260 120 0 28 min
#92 1027 4 3 1.33 0 193 140 200 75 25 min
#93 729 4 12 0.33 0 112 480 200 260 44 min
#94 615 4 9 0.44 1 84 260 900 320 63 min
#95 980 4 6 0.67 0 64 160 120 30 20 min
#96 574 4 16 0.25 0 56 420 620 525 63 min
#97 4 5 0.8 1 51 0 120 5 12 min
#98 571 4 20 0.2 0 49 40 980 1,210 64 min
#99 1142 4 14 0.29 0 42 180 160 5 26 min
#100 4 8 0.5 0 39 180 40 10 18 min
#101 724 3 16 0.19 1 536 420 540 430 65 min
#102 471 3 4 0.75 0 447 20 840 135 50 min
#103 3 11 0.27 0 84 0 260 201 20 min
#104 3 3 1.0 0 76 120 80 10 14 min
#105 770 3 2 1.5 0 61 0 560 50 31 min
#106 594 3 9 0.33 2 48 0 640 85 43 min
#107 799 3 8 0.38 0 48 0 280 155 20 min
#108 510 3 9 0.33 0 31 120 500 75 43 min
#109 3 2 1.5 0 27 140 0 15 10 min
#110 694 2 14 0.14 1 353 380 700 655 63 min
#111 664 2 4 0.5 3 42 0 1,240 3,111 64 min
#112 454 2 26 0.08 0 32 660 340 680 66 min
#113 630 2 7 0.29 0 28 160 100 195 23 min
#114 2 6 0.33 0 27 0 300 155 20 min
#115 2 3 0.67 0 24 140 40 75 13 min
#116 2 1 2.0 0 22 100 100 75 13 min
#117 2 0 2.0 0 15 120 40 0 10 min
#118 1410 1 3 0.33 0 1,121 0 1,200 380 63 min
#119 1 8 0.12 0 108 180 0 0 39 min
#120 604 1 3 0.33 0 91 0 720 1,468 40 min
#121 1 7 0.14 0 69 0 300 110 20 min
#122 785 1 9 0.11 0 63 0 840 1,446 51 min
#123 581 1 10 0.1 0 37 120 320 0 30 min
#124 430 1 4 0.25 0 30 0 400 100 22 min
#125 1 3 0.33 0 26 0 140 10 8 min
#126 527 1 3 0.33 0 20 260 300 0 34 min
#127 1 4 0.25 0 19 100 100 0 15 min
#128 791 1 23 0.04 0 18 740 240 565 65 min
#129 1 8 0.12 0 16 0 240 0 18 min
#130 1 3 0.33 0 16 0 60 35 7 min
#131 534 1 6 0.17 0 13 220 120 586 26 min
#132 1 1 1.0 0 13 0 60 5 7 min
#133 1 2 0.5 0 11 160 100 15 17 min
#134 641 1 7 0.14 1 10 440 600 5 63 min
#135 1 2 0.5 0 10 0 180 0 10 min
#136 0 3 0.0 0 150 0 40 0 7 min
#137 0 0 0.0 0 88 340 180 340 63 min
#138 590 0 10 0.0 0 35 0 1,140 1,361 64 min
#139 672 0 4 0.0 0 19 60 320 20 24 min
#140 0 2 0.0 0 3 0 80 0 4 min
#141 582 0 11 0.0 0 3 200 160 0 25 min
#142 0 1 0.0 2 2 0 280 0 16 min
#143 0 0 0.0 0 2 60 60 0 0 min
#144 0 1 0.0 0 1 20 40 0 5 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 1 0.0 0 0 0 40 0 8 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 15 min
#151 0 0 0.0 0 0 0 0 0 3 min
#152 0 3 0.0 0 0 0 100 75 8 min
#153 0 0 0.0 0 0 0 0 0 1 min
#154 0 0 0.0 0 0 0 0 0 1 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 0 0.0 0 0 0 0 0 2 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 0 0.0 0 0 0 20 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 0 min
#161 0 0 0.0 0 0 0 120 0 8 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 0 0 0 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 0 0 5 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 0 0.0 0 0 0 0 0 63 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 0 0 0 min
#173 0 0 0.0 0 0 0 0 0 0 min