elalamein_offensive_ger

El Alamein Offensive Day DAK attack

12.03.2026 06:16 | OffensiveHeaven_5

Result

4:1

Axis wins

Players

184

Total Kills

2,199

Allied Kills

1,101

Axis Kills

1,098

Match Duration

87 min

Kills/Min

25.2

Normal Match ELO

Allies 1077.0 (all: 785.0)
Ø Match 1183.0
Axis 1289.0 (all: 826.0)
Highly imbalanced

Player Statistics (184)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1870 168 6 28.0 0 1,638 500 1,120 115 83 min
#2 1113 91 33 2.76 0 917 260 1,040 115 86 min
#3 1015 88 7 12.57 1 1,929 100 1,220 165 83 min
#4 901 58 30 1.93 0 588 1,000 440 85 83 min
#5 636 57 17 3.35 2 1,054 300 1,200 3,630 83 min
#6 1138 55 20 2.75 0 557 180 1,220 25 83 min
#7 943 53 20 2.65 0 604 200 1,240 70 83 min
#8 1357 52 7 7.43 0 1,087 260 900 35 67 min
#9 1172 48 22 2.18 0 779 120 1,240 390 83 min
#10 994 46 10 4.6 0 906 720 840 680 83 min
#11 963 42 4 10.5 2 982 220 1,360 45 82 min
#12 1140 42 10 4.2 0 709 340 780 120 63 min
#13 1125 38 39 0.97 0 879 420 700 365 83 min
#14 822 38 44 0.86 0 383 340 900 55 83 min
#15 1068 37 26 1.42 0 491 660 620 2,985 83 min
#16 788 34 5 6.8 2 1,409 240 1,300 2,755 83 min
#17 1110 34 31 1.1 1 855 680 420 172 83 min
#18 1006 34 16 2.12 1 343 160 760 45 60 min
#19 984 34 14 2.43 1 337 180 640 10 49 min
#20 789 33 28 1.18 0 692 840 580 75 83 min
#21 819 33 21 1.57 0 347 160 1,200 3,180 83 min
#22 856 32 5 6.4 3 1,139 340 820 5 62 min
#23 2036 32 4 8.0 0 318 360 220 60 32 min
#24 934 29 20 1.45 3 395 520 580 10 77 min
#25 842 29 13 2.23 0 364 140 540 400 83 min
#26 949 29 33 0.88 0 312 540 620 635 84 min
#27 863 27 36 0.75 0 277 120 980 545 83 min
#28 817 26 17 1.53 0 596 100 1,360 1,810 83 min
#29 847 26 27 0.96 0 409 140 1,060 130 85 min
#30 778 26 14 1.86 3 372 60 1,480 3,469 83 min
#31 490 25 5 5.0 2 727 620 860 35 83 min
#32 987 24 21 1.14 0 509 620 660 245 79 min
#33 1062 23 18 1.28 1 405 560 500 150 75 min
#34 879 22 8 2.75 1 251 20 440 55 30 min
#35 1030 21 24 0.88 0 551 680 280 20 62 min
#36 695 21 22 0.95 0 287 100 1,100 240 72 min
#37 830 21 24 0.88 0 250 800 580 480 83 min
#38 844 20 40 0.5 0 317 220 820 80 75 min
#39 1047 19 23 0.83 0 373 360 120 5 46 min
#40 844 19 8 2.38 0 186 400 720 3,125 83 min
#41 981 18 22 0.82 1 204 860 560 701 83 min
#42 801 17 20 0.85 0 391 120 880 75 60 min
#43 1005 17 32 0.53 0 260 680 540 1,315 85 min
#44 925 17 28 0.61 0 247 740 600 715 86 min
#45 732 16 14 1.14 0 622 480 480 653 64 min
#46 1012 16 23 0.7 1 612 920 460 1,183 83 min
#47 604 15 39 0.38 2 354 760 540 267 83 min
#48 1110 15 9 1.67 0 162 260 340 320 39 min
#49 591 13 27 0.48 1 231 160 1,160 40 83 min
#50 922 13 9 1.44 0 202 0 380 40 26 min
#51 678 13 18 0.72 0 141 140 760 200 60 min
#52 1281 12 18 0.67 1 1,292 460 1,020 230 83 min
#53 676 12 19 0.63 1 239 100 1,300 510 85 min
#54 627 12 22 0.55 0 123 240 720 475 58 min
#55 695 11 8 1.38 1 944 220 1,340 175 82 min
#56 708 11 11 1.0 1 476 100 1,340 285 83 min
#57 957 11 36 0.31 0 364 140 1,220 1,854 83 min
#58 821 11 25 0.44 2 177 180 580 10 58 min
#59 521 11 23 0.48 0 128 460 960 35 85 min
#60 11 3 3.67 0 92 0 100 80 25 min
#61 713 10 29 0.34 0 197 80 780 15 55 min
#62 537 10 19 0.53 0 170 60 660 647 54 min
#63 655 10 23 0.43 0 158 540 400 485 62 min
#64 576 10 16 0.62 0 108 480 920 650 83 min
#65 880 10 9 1.11 1 95 0 380 170 31 min
#66 786 9 4 2.25 0 509 1,060 500 20 83 min
#67 695 9 31 0.29 0 254 100 920 65 68 min
#68 960 9 5 1.8 0 179 220 200 15 27 min
#69 754 9 34 0.26 0 149 700 480 265 83 min
#70 1096 9 6 1.5 0 77 0 440 330 30 min
#71 923 8 15 0.53 0 182 0 860 1,728 52 min
#72 467 8 27 0.3 1 146 440 760 97 83 min
#73 795 8 29 0.28 0 104 60 940 600 73 min
#74 1042 8 12 0.67 0 83 120 260 15 27 min
#75 804 8 11 0.73 0 64 140 120 0 22 min
#76 527 7 38 0.18 0 196 140 1,080 337 83 min
#77 571 7 3 2.33 0 138 0 460 260 29 min
#78 564 7 21 0.33 0 121 140 640 195 58 min
#79 731 7 25 0.28 3 111 300 240 275 42 min
#80 647 7 16 0.44 0 91 340 140 5 38 min
#81 857 7 10 0.7 0 84 20 360 0 29 min
#82 658 7 30 0.23 0 70 740 660 1,803 83 min
#83 634 6 15 0.4 1 215 440 760 3,781 83 min
#84 778 6 21 0.29 0 198 560 660 360 79 min
#85 481 6 20 0.3 0 102 240 340 335 48 min
#86 603 6 9 0.67 0 73 320 300 320 61 min
#87 714 6 22 0.27 0 69 560 680 65 84 min
#88 474 6 7 0.86 0 54 60 140 0 20 min
#89 709 6 12 0.5 0 48 80 740 342 51 min
#90 582 5 31 0.16 0 238 340 1,080 685 83 min
#91 994 5 5 1.0 0 217 380 180 255 33 min
#92 5 2 2.5 0 57 120 20 0 8 min
#93 886 5 16 0.31 0 42 220 260 0 33 min
#94 779 4 2 2.0 1 574 180 240 30 22 min
#95 807 4 16 0.25 0 104 300 380 75 44 min
#96 530 4 19 0.21 0 93 40 340 0 39 min
#97 637 4 17 0.24 0 83 300 300 30 39 min
#98 922 4 9 0.44 0 68 220 320 80 35 min
#99 558 4 32 0.12 1 60 0 940 180 79 min
#100 721 4 10 0.4 0 54 60 100 0 16 min
#101 4 6 0.67 0 39 0 120 0 10 min
#102 634 3 5 0.6 1 1,221 80 1,180 120 83 min
#103 685 3 10 0.3 0 1,082 260 1,240 60 83 min
#104 544 3 12 0.25 0 73 240 200 75 32 min
#105 3 9 0.33 0 47 0 200 85 13 min
#106 463 3 11 0.27 0 42 440 1,000 95 83 min
#107 488 3 18 0.17 1 42 620 540 1,037 72 min
#108 602 3 14 0.21 0 38 180 160 135 36 min
#109 598 3 14 0.21 0 33 300 280 165 47 min
#110 3 3 1.0 0 23 80 0 0 19 min
#111 738 3 7 0.43 1 22 100 80 10 17 min
#112 836 2 5 0.4 0 1,344 240 1,260 2,980 83 min
#113 972 2 10 0.2 1 404 100 1,360 345 83 min
#114 2 0 2.0 0 114 0 160 0 10 min
#115 430 2 12 0.17 0 85 580 920 0 82 min
#116 600 2 11 0.18 0 36 0 200 10 15 min
#117 550 2 9 0.22 0 31 20 480 280 29 min
#118 753 2 4 0.5 0 29 0 200 130 17 min
#119 716 2 21 0.1 1 28 680 200 335 64 min
#120 703 2 8 0.25 0 27 220 300 0 35 min
#121 2 0 2.0 0 24 40 20 0 3 min
#122 2 7 0.29 0 19 80 40 0 14 min
#123 847 2 5 0.4 0 16 140 120 0 19 min
#124 475 1 6 0.17 0 626 120 1,020 175 67 min
#125 661 1 16 0.06 0 130 0 1,400 2,404 83 min
#126 653 1 15 0.07 0 78 0 1,400 1,927 83 min
#127 552 1 18 0.06 0 50 280 760 305 66 min
#128 1 0 1.0 0 20 80 200 30 16 min
#129 1 3 0.33 0 12 60 60 0 10 min
#130 532 1 8 0.12 0 10 300 160 300 29 min
#131 1 1 1.0 0 7 0 0 25 5 min
#132 734 1 13 0.08 0 7 0 420 150 29 min
#133 720 0 9 0.0 0 1,086 260 1,120 300 79 min
#134 0 0 0.0 0 160 180 400 430 0 min
#135 0 1 0.0 0 14 0 20 5 2 min
#136 0 2 0.0 0 10 40 40 0 6 min
#137 0 0 0.0 2 10 20 220 0 14 min
#138 558 0 7 0.0 1 6 40 240 80 19 min
#139 499 0 6 0.0 0 5 60 300 80 26 min
#140 0 1 0.0 1 4 0 60 0 5 min
#141 0 2 0.0 0 3 0 40 0 7 min
#142 680 0 7 0.0 2 3 0 220 30 34 min
#143 0 2 0.0 0 3 0 60 0 5 min
#144 0 2 0.0 0 2 0 60 0 4 min
#145 0 1 0.0 0 2 0 60 5 5 min
#146 0 2 0.0 0 1 0 120 0 8 min
#147 0 0 0.0 0 1 0 20 0 1 min
#148 0 4 0.0 0 1 40 120 225 10 min
#149 0 2 0.0 0 0 0 120 15 11 min
#150 0 0 0.0 0 0 0 0 0 1 min
#151 0 2 0.0 0 0 20 40 0 17 min
#152 0 0 0.0 0 0 0 0 0 52 min
#153 0 0 0.0 0 0 0 0 0 2 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 0 0.0 0 0 0 0 0 1 min
#157 0 0 0.0 0 0 0 0 0 1 min
#158 0 0 0.0 0 0 0 0 0 3 min
#159 0 1 0.0 0 0 0 60 0 8 min
#160 0 1 0.0 0 0 0 80 0 5 min
#161 0 1 0.0 1 0 0 80 0 7 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 2 min
#165 0 0 0.0 0 0 0 20 0 3 min
#166 0 3 0.0 0 0 0 100 0 7 min
#167 0 3 0.0 0 0 60 80 0 12 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 20 0 1 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 0 0 2 min
#172 0 0 0.0 0 0 0 0 0 8 min
#173 0 1 0.0 0 0 0 40 0 3 min
#174 0 1 0.0 0 0 40 0 0 4 min
#175 0 0 0.0 0 0 0 0 0 1 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 0 0 0 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 0 0.0 0 0 0 0 0 0 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 1 0.0 0 0 0 20 15 4 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 0 min