elalamein_offensive_ger

El Alamein Offensive Day DAK attack

01.05.2026 10:10 | BigD_3

Result

4:1

Axis wins

Players

196

Total Kills

2,684

Allied Kills

1,398

Axis Kills

1,286

Match Duration

96 min

Kills/Min

27.8

Normal Match ELO

Allies 1142.0 (all: 776.0)
Ø Match 1199.0
Axis 1257.0 (all: 782.0)
Imbalanced

Player Statistics (196)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1481 95 40 2.38 0 1,344 880 640 85 92 min
#2 1174 82 21 3.9 0 831 80 1,340 75 84 min
#3 1239 81 33 2.45 0 866 40 1,480 60 94 min
#4 1053 74 11 6.73 0 711 1,320 440 185 92 min
#5 1399 67 22 3.05 0 725 320 960 405 80 min
#6 849 67 7 9.57 0 646 100 1,200 70 82 min
#7 1325 64 41 1.56 0 784 880 400 310 82 min
#8 1328 58 27 2.15 1 777 40 1,580 415 92 min
#9 1010 58 22 2.64 0 687 100 1,340 150 84 min
#10 725 56 20 2.8 1 688 400 1,100 215 92 min
#11 1229 52 22 2.36 0 818 1,180 460 1,436 92 min
#12 1014 51 36 1.42 0 620 900 440 55 94 min
#13 926 49 49 1.0 0 488 100 1,260 1,405 92 min
#14 1704 48 41 1.17 0 770 760 120 655 62 min
#15 1023 46 32 1.44 0 606 0 1,480 135 92 min
#16 1057 46 21 2.19 0 518 20 1,140 140 71 min
#17 583 44 3 14.67 2 1,391 60 1,760 250 92 min
#18 782 40 26 1.54 0 460 160 900 0 69 min
#19 897 37 24 1.54 2 666 680 840 127 92 min
#20 712 36 7 5.14 0 1,365 340 1,380 70 92 min
#21 891 36 5 7.2 0 1,208 200 680 55 51 min
#22 969 36 39 0.92 0 475 840 200 2,610 79 min
#23 1004 36 37 0.97 0 353 1,020 220 25 81 min
#24 958 33 15 2.2 6 603 0 1,720 3,826 92 min
#25 883 33 32 1.03 12 400 820 560 3,333 92 min
#26 693 33 15 2.2 0 398 0 1,280 570 82 min
#27 791 31 21 1.48 0 1,567 1,340 300 60 92 min
#28 934 31 35 0.89 0 512 100 1,320 1,475 94 min
#29 938 30 32 0.94 0 598 60 1,360 305 92 min
#30 914 29 44 0.66 1 890 120 1,360 1,895 92 min
#31 881 28 6 4.67 1 306 320 660 90 53 min
#32 1434 27 17 1.59 0 286 320 200 260 43 min
#33 785 25 29 0.86 0 653 520 920 3,660 92 min
#34 726 25 22 1.14 1 532 580 440 675 70 min
#35 996 25 6 4.17 0 497 220 620 250 32 min
#36 995 25 21 1.19 1 318 60 660 115 44 min
#37 999 25 39 0.64 0 282 680 420 629 79 min
#38 766 24 26 0.92 7 701 660 900 1,323 92 min
#39 765 24 24 1.0 0 308 200 460 10 50 min
#40 1005 24 11 2.18 0 247 20 800 565 46 min
#41 1159 23 23 1.0 1 404 560 140 782 49 min
#42 880 23 36 0.64 0 395 0 920 165 76 min
#43 23 8 2.88 0 193 0 260 0 17 min
#44 621 22 19 1.16 0 275 140 1,120 240 76 min
#45 697 22 28 0.79 0 272 60 1,440 270 92 min
#46 646 22 33 0.67 0 222 780 760 791 92 min
#47 22 5 4.4 0 208 0 180 80 13 min
#48 574 21 35 0.6 1 243 340 940 560 86 min
#49 579 21 3 7.0 0 237 420 220 15 52 min
#50 982 20 37 0.54 1 571 620 740 345 92 min
#51 673 20 17 1.18 1 250 120 460 100 41 min
#52 526 19 19 1.0 2 652 540 1,020 235 92 min
#53 782 19 15 1.27 0 406 0 680 1,027 48 min
#54 697 19 22 0.86 0 358 80 800 85 60 min
#55 795 19 19 1.0 0 210 100 560 665 42 min
#56 901 18 43 0.42 0 871 1,160 260 1,232 92 min
#57 953 18 41 0.44 0 656 500 400 235 65 min
#58 878 17 24 0.71 0 320 1,180 320 85 92 min
#59 756 16 6 2.67 3 567 80 1,460 80 87 min
#60 793 16 17 0.94 0 192 60 900 10 60 min
#61 582 15 33 0.45 1 332 1,100 340 75 92 min
#62 771 15 24 0.62 0 280 60 480 744 40 min
#63 684 15 23 0.65 1 245 300 680 45 72 min
#64 682 15 28 0.54 0 205 600 500 0 74 min
#65 584 15 24 0.62 0 170 520 1,040 15 92 min
#66 952 15 10 1.5 0 151 300 160 610 33 min
#67 1288 15 5 3.0 0 151 320 80 30 26 min
#68 1001 14 28 0.5 0 185 880 380 1,403 84 min
#69 566 14 38 0.37 0 177 20 1,380 515 92 min
#70 1013 14 38 0.37 0 156 40 1,200 2,985 81 min
#71 960 13 14 0.93 0 305 80 400 15 30 min
#72 876 13 14 0.93 0 140 120 340 25 43 min
#73 674 12 16 0.75 0 177 0 340 200 26 min
#74 593 11 10 1.1 0 479 420 1,060 200 87 min
#75 472 11 41 0.27 1 172 1,000 460 65 92 min
#76 713 11 9 1.22 0 157 120 300 95 30 min
#77 651 11 7 1.57 0 113 0 1,000 10 64 min
#78 806 10 36 0.28 0 177 40 1,200 941 82 min
#79 893 10 29 0.34 0 156 460 340 610 56 min
#80 1017 10 20 0.5 1 98 20 800 313 59 min
#81 874 9 6 1.5 0 236 0 520 5 32 min
#82 625 9 13 0.69 1 209 920 320 1,995 85 min
#83 518 9 33 0.27 0 159 920 540 25 92 min
#84 9 4 2.25 0 133 0 280 215 18 min
#85 907 9 4 2.25 1 113 0 440 0 28 min
#86 9 4 2.25 0 103 240 0 0 18 min
#87 575 8 3 2.67 1 1,271 60 1,780 300 92 min
#88 832 8 5 1.6 2 1,120 200 740 155 53 min
#89 609 8 41 0.2 0 174 660 480 500 82 min
#90 592 8 16 0.5 0 148 0 1,660 3,214 92 min
#91 528 8 18 0.44 2 143 280 500 0 52 min
#92 701 8 28 0.29 0 96 20 1,280 1,009 82 min
#93 799 7 9 0.78 0 73 380 240 0 44 min
#94 700 6 14 0.43 0 142 0 700 805 46 min
#95 681 6 5 1.2 0 129 0 320 165 22 min
#96 742 6 16 0.38 0 88 220 260 30 42 min
#97 684 6 22 0.27 0 70 600 320 645 58 min
#98 6 5 1.2 0 65 0 160 75 11 min
#99 6 4 1.5 0 63 40 120 0 10 min
#100 659 6 13 0.46 0 55 20 520 518 34 min
#101 710 5 7 0.71 3 1,418 360 1,400 95 92 min
#102 515 5 6 0.83 2 1,051 160 660 110 52 min
#103 530 5 29 0.17 1 336 620 660 446 91 min
#104 720 5 20 0.25 0 221 300 720 250 66 min
#105 671 5 12 0.42 0 97 60 640 1,755 49 min
#106 503 5 7 0.71 0 84 420 420 194 32 min
#107 782 4 5 0.8 2 1,323 260 1,520 225 92 min
#108 675 4 8 0.5 3 403 60 1,580 143 92 min
#109 659 4 7 0.57 0 128 240 740 15 57 min
#110 544 4 17 0.24 0 127 0 600 585 54 min
#111 765 4 7 0.57 0 111 220 0 155 21 min
#112 564 4 26 0.15 0 83 1,200 380 885 92 min
#113 4 6 0.67 1 73 0 320 110 20 min
#114 795 4 22 0.18 0 61 0 640 255 45 min
#115 4 1 4.0 0 41 0 120 5 11 min
#116 4 2 2.0 0 30 0 80 60 6 min
#117 630 3 3 1.0 3 1,295 60 1,760 430 92 min
#118 831 3 9 0.33 5 500 60 1,600 495 90 min
#119 825 3 9 0.33 1 85 260 240 281 33 min
#120 625 3 10 0.3 0 42 0 440 1,205 33 min
#121 3 6 0.5 1 38 0 120 0 9 min
#122 449 3 7 0.43 0 38 0 520 0 35 min
#123 469 3 32 0.09 0 37 380 1,000 0 86 min
#124 587 3 11 0.27 1 34 100 340 50 38 min
#125 586 2 10 0.2 0 182 20 340 5 24 min
#126 547 2 10 0.2 0 81 240 180 5 27 min
#127 567 2 8 0.25 0 76 0 380 90 25 min
#128 747 2 9 0.22 0 55 240 220 205 30 min
#129 591 2 12 0.17 0 51 40 520 980 38 min
#130 639 2 6 0.33 0 47 460 40 0 27 min
#131 432 2 11 0.18 0 45 180 460 20 41 min
#132 477 2 11 0.18 0 43 240 260 5 32 min
#133 649 2 0 2.0 0 36 40 400 15 21 min
#134 438 2 9 0.22 0 32 0 360 230 26 min
#135 528 2 11 0.18 0 31 60 560 150 41 min
#136 2 2 1.0 0 28 20 180 20 16 min
#137 547 2 3 0.67 0 28 0 340 0 22 min
#138 2 8 0.25 2 27 20 200 565 15 min
#139 2 3 0.67 0 22 40 0 65 4 min
#140 2 4 0.5 0 22 80 40 110 9 min
#141 2 4 0.5 0 21 0 80 5 7 min
#142 2 2 1.0 0 20 0 60 0 5 min
#143 728 2 6 0.33 0 19 60 60 25 22 min
#144 2 0 2.0 0 17 20 0 75 11 min
#145 740 1 13 0.08 2 164 0 1,180 3,033 81 min
#146 540 1 3 0.33 0 62 60 160 10 27 min
#147 724 1 7 0.14 0 27 280 240 255 38 min
#148 538 1 11 0.09 0 17 0 480 120 36 min
#149 1 1 1.0 0 13 0 20 0 1 min
#150 1 1 1.0 0 10 0 120 0 8 min
#151 1 2 0.5 0 9 60 0 0 13 min
#152 1 1 1.0 0 9 0 20 0 3 min
#153 486 1 9 0.11 0 8 0 320 80 25 min
#154 523 0 26 0.0 0 114 420 420 350 60 min
#155 0 4 0.0 0 59 160 20 120 14 min
#156 0 0 0.0 0 40 0 240 970 0 min
#157 0 5 0.0 0 26 120 80 230 14 min
#158 0 9 0.0 0 20 80 80 75 17 min
#159 353 0 7 0.0 0 16 220 100 0 22 min
#160 0 2 0.0 0 6 20 0 0 1 min
#161 0 6 0.0 1 5 0 180 150 15 min
#162 0 2 0.0 0 5 0 180 0 11 min
#163 0 4 0.0 0 4 0 220 0 17 min
#164 0 3 0.0 0 3 0 80 20 7 min
#165 0 6 0.0 0 3 40 100 0 10 min
#166 692 0 5 0.0 0 3 200 140 120 23 min
#167 0 1 0.0 0 2 0 40 0 5 min
#168 0 1 0.0 0 2 60 0 0 5 min
#169 0 2 0.0 2 0 0 0 0 2 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 0 0 1 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
#174 0 0 0.0 0 0 0 0 0 1 min
#175 0 0 0.0 0 0 0 0 0 0 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 0 180 230 21 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 2 min
#182 0 0 0.0 0 0 0 0 0 1 min
#183 0 2 0.0 0 0 0 40 0 17 min
#184 0 2 0.0 0 0 20 20 120 6 min
#185 0 1 0.0 0 0 60 0 0 6 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 0 0.0 0 0 0 40 0 4 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 5 0.0 0 0 0 80 75 7 min
#191 0 0 0.0 0 0 0 0 0 10 min
#192 0 2 0.0 0 0 0 0 0 1 min
#193 0 2 0.0 0 0 20 40 30 5 min
#194 0 0 0.0 0 0 0 0 0 1 min
#195 0 0 0.0 0 0 0 60 0 4 min
#196 0 0 0.0 0 0 0 0 0 0 min