elalamein_offensive_CW

El Alamein Offensive Day B8A attack

15.06.2026 04:25 | BigD.com.au AU#1

Result

1:4

Allied wins

Players

192

Total Kills

2,665

Allied Kills

1,266

Axis Kills

1,399

Match Duration

89 min

Kills/Min

30.1

High Match ELO

Allies 1339.0 (all: 841.0)
Ø Match 1266.0
Axis 1193.0 (all: 821.0)
Imbalanced

Player Statistics (192)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1136 102 37 2.76 0 1,081 120 1,180 235 84 min
#2 781 88 4 22.0 0 1,728 600 1,060 45 87 min
#3 1055 75 11 6.82 2 1,577 280 680 95 54 min
#4 710 65 21 3.1 0 1,295 20 1,360 310 84 min
#5 1308 63 32 1.97 0 702 20 1,340 125 84 min
#6 1491 62 52 1.19 0 1,227 900 340 240 84 min
#7 1444 62 11 5.64 0 659 120 720 5 49 min
#8 948 58 11 5.27 3 657 520 1,040 5,579 84 min
#9 1155 56 24 2.33 0 838 640 360 165 63 min
#10 979 56 20 2.8 0 506 240 1,140 45 84 min
#11 1249 54 47 1.15 2 1,174 840 360 2,630 84 min
#12 1170 54 44 1.23 0 1,067 180 940 673 79 min
#13 763 51 12 4.25 0 652 880 580 262 84 min
#14 1655 48 18 2.67 0 815 600 140 305 50 min
#15 819 44 39 1.13 2 679 280 900 45 84 min
#16 1076 44 34 1.29 0 505 100 1,020 75 77 min
#17 805 44 21 2.1 0 475 140 1,280 90 82 min
#18 1657 42 25 1.68 0 499 620 100 545 49 min
#19 918 40 17 2.35 0 405 980 360 2,268 77 min
#20 971 37 28 1.32 0 900 780 440 90 84 min
#21 1014 36 4 9.0 1 905 120 680 15 48 min
#22 860 36 24 1.5 0 425 200 1,000 80 78 min
#23 989 34 35 0.97 0 379 40 1,080 460 84 min
#24 866 32 8 4.0 1 571 40 1,320 1,666 76 min
#25 879 32 20 1.6 0 538 940 440 451 84 min
#26 1173 31 27 1.15 0 272 380 360 540 54 min
#27 963 30 41 0.73 0 625 680 560 130 87 min
#28 694 30 18 1.67 0 365 60 920 260 65 min
#29 1104 28 44 0.64 0 374 620 580 2,980 86 min
#30 820 28 14 2.0 0 358 40 1,300 1,875 75 min
#31 633 26 22 1.18 0 247 1,000 440 105 84 min
#32 817 25 21 1.19 0 866 940 600 501 84 min
#33 1044 25 18 1.39 0 499 260 220 85 34 min
#34 817 25 30 0.83 0 435 80 960 350 69 min
#35 1064 25 18 1.39 0 408 480 80 165 38 min
#36 799 25 46 0.54 0 402 860 320 55 84 min
#37 1024 25 14 1.79 0 252 300 300 30 38 min
#38 1022 24 31 0.77 2 812 1,020 280 414 79 min
#39 602 24 6 4.0 4 244 0 1,040 50 56 min
#40 789 23 24 0.96 1 398 80 1,100 80 70 min
#41 899 23 17 1.35 0 238 280 440 90 46 min
#42 941 22 41 0.54 0 264 120 1,120 836 84 min
#43 1070 22 14 1.57 0 235 40 440 25 37 min
#44 875 22 12 1.83 0 196 80 580 98 39 min
#45 851 21 17 1.24 0 688 20 1,440 5,788 83 min
#46 810 21 33 0.64 0 346 140 1,240 425 84 min
#47 581 21 30 0.7 0 327 480 760 45 81 min
#48 899 20 31 0.65 0 483 320 1,040 370 84 min
#49 588 20 31 0.65 1 222 80 1,320 780 84 min
#50 1006 20 17 1.18 0 214 340 400 115 45 min
#51 825 19 19 1.0 0 290 680 560 280 84 min
#52 786 18 6 3.0 1 206 520 480 80 62 min
#53 754 17 39 0.44 0 366 1,000 360 1,185 84 min
#54 729 17 28 0.61 0 212 700 200 2,800 84 min
#55 996 17 11 1.55 0 206 300 300 270 37 min
#56 790 17 16 1.06 0 166 320 240 5 38 min
#57 693 16 32 0.5 0 268 600 740 275 84 min
#58 800 16 15 1.07 0 256 720 700 1,034 80 min
#59 774 15 13 1.15 0 257 180 420 5 42 min
#60 536 15 16 0.94 0 156 200 1,320 660 86 min
#61 812 15 13 1.15 0 149 60 360 0 27 min
#62 1013 15 13 1.15 0 144 120 320 270 31 min
#63 933 15 7 2.14 0 142 100 260 5 24 min
#64 14 21 0.67 1 540 100 660 264 0 min
#65 686 14 24 0.58 0 230 140 660 647 67 min
#66 1008 14 17 0.82 0 196 100 460 75 38 min
#67 597 14 13 1.08 0 158 60 420 85 32 min
#68 791 14 34 0.41 1 142 800 500 1,127 84 min
#69 546 13 43 0.3 0 186 820 460 690 84 min
#70 639 13 29 0.45 0 150 360 440 130 59 min
#71 628 13 36 0.36 0 146 300 780 810 80 min
#72 922 13 15 0.87 0 118 220 80 10 31 min
#73 921 13 13 1.0 0 115 280 240 85 40 min
#74 918 12 18 0.67 0 236 20 860 570 54 min
#75 629 12 11 1.09 0 190 700 420 195 84 min
#76 605 12 32 0.38 1 181 280 1,040 85 84 min
#77 734 12 18 0.67 0 151 40 780 205 52 min
#78 681 12 12 1.0 0 129 480 680 115 71 min
#79 947 11 28 0.39 0 907 1,060 380 943 84 min
#80 11 17 0.65 0 166 520 360 85 0 min
#81 976 11 19 0.58 0 165 0 720 125 45 min
#82 932 11 1 11.0 6 160 40 300 295 20 min
#83 632 10 10 1.0 0 280 140 480 155 57 min
#84 924 10 3 3.33 0 279 0 740 2,498 40 min
#85 706 10 28 0.36 0 269 620 240 425 61 min
#86 681 10 19 0.53 0 210 840 620 815 84 min
#87 631 10 20 0.5 0 138 240 1,080 665 84 min
#88 499 10 20 0.5 0 131 0 820 0 57 min
#89 730 10 13 0.77 0 89 540 80 375 38 min
#90 810 10 26 0.38 0 82 740 360 1,198 73 min
#91 641 9 35 0.26 0 152 360 240 45 53 min
#92 815 9 33 0.27 0 136 380 900 694 84 min
#93 810 9 6 1.5 1 85 120 360 95 30 min
#94 8 7 1.14 0 109 20 240 80 16 min
#95 558 7 10 0.7 1 373 20 840 255 51 min
#96 838 7 21 0.33 0 128 260 280 105 39 min
#97 767 7 10 0.7 0 62 0 240 85 21 min
#98 603 6 15 0.4 1 432 0 1,360 1,515 84 min
#99 636 6 3 2.0 0 321 180 380 5 32 min
#100 855 6 10 0.6 0 224 0 800 272 46 min
#101 641 6 13 0.46 0 215 180 240 150 29 min
#102 523 6 30 0.2 0 94 660 300 105 71 min
#103 696 5 14 0.36 4 1,200 540 960 345 84 min
#104 596 5 9 0.56 0 509 20 780 25 50 min
#105 976 5 12 0.42 0 69 80 340 335 28 min
#106 577 5 18 0.28 0 59 280 360 300 49 min
#107 772 5 9 0.56 0 53 380 60 335 26 min
#108 1141 5 15 0.33 0 53 200 360 696 35 min
#109 600 5 16 0.31 0 52 280 280 220 38 min
#110 5 7 0.71 0 41 120 60 0 19 min
#111 631 5 10 0.5 0 41 140 160 80 26 min
#112 588 4 6 0.67 0 106 0 540 95 34 min
#113 4 6 0.67 0 95 0 340 80 19 min
#114 640 4 27 0.15 0 86 700 340 445 69 min
#115 734 4 6 0.67 0 58 200 100 30 30 min
#116 521 4 7 0.57 0 51 0 160 150 20 min
#117 501 4 37 0.11 0 51 520 360 1,150 76 min
#118 4 7 0.57 0 46 0 200 90 15 min
#119 768 4 13 0.31 0 43 180 160 15 29 min
#120 618 4 11 0.36 0 42 280 120 75 29 min
#121 712 3 20 0.15 0 259 600 480 190 81 min
#122 618 3 18 0.17 0 242 60 1,400 190 84 min
#123 3 8 0.38 0 128 180 40 100 18 min
#124 3 2 1.5 0 60 40 180 0 11 min
#125 443 3 13 0.23 0 47 520 140 80 46 min
#126 3 1 3.0 0 46 0 60 0 5 min
#127 619 2 9 0.22 0 1,279 600 960 295 84 min
#128 772 2 7 0.29 1 74 20 460 65 27 min
#129 612 2 14 0.14 0 39 0 500 535 36 min
#130 737 2 18 0.11 0 32 420 520 150 61 min
#131 778 2 11 0.18 0 30 240 100 0 24 min
#132 2 2 1.0 0 21 0 160 0 9 min
#133 2 2 1.0 0 18 0 60 0 5 min
#134 2 4 0.5 0 13 0 80 0 5 min
#135 2 2 1.0 0 10 40 60 0 7 min
#136 1 5 0.2 1 69 0 240 330 15 min
#137 427 1 8 0.12 0 37 360 100 25 30 min
#138 908 1 12 0.08 0 27 60 460 65 32 min
#139 604 1 27 0.04 0 19 700 220 615 66 min
#140 1 7 0.14 0 12 100 80 25 20 min
#141 440 1 6 0.17 0 11 80 220 0 21 min
#142 1 2 0.5 0 10 0 120 0 8 min
#143 1 3 0.33 0 8 0 80 0 11 min
#144 1 4 0.25 0 8 60 20 0 17 min
#145 1 2 0.5 0 7 0 100 0 8 min
#146 0 0 0.0 0 347 740 100 255 84 min
#147 0 4 0.0 0 20 0 60 65 5 min
#148 476 0 4 0.0 0 17 140 420 5 32 min
#149 0 0 0.0 0 7 20 60 0 0 min
#150 0 7 0.0 0 4 20 160 35 13 min
#151 0 4 0.0 0 4 0 220 75 17 min
#152 0 4 0.0 0 4 0 120 0 8 min
#153 0 5 0.0 0 3 40 60 0 11 min
#154 0 4 0.0 0 3 0 160 420 9 min
#155 0 0 0.0 0 2 20 20 0 4 min
#156 0 3 0.0 0 1 0 60 0 6 min
#157 0 2 0.0 0 1 0 60 0 5 min
#158 0 0 0.0 0 0 0 0 0 10 min
#159 0 1 0.0 1 0 0 20 0 4 min
#160 0 0 0.0 0 0 0 0 0 0 min
#161 0 0 0.0 0 0 0 180 0 15 min
#162 0 0 0.0 0 0 0 40 0 2 min
#163 0 0 0.0 0 0 0 0 0 1 min
#164 0 0 0.0 0 0 0 0 0 8 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 1 min
#167 0 1 0.0 0 0 0 20 0 10 min
#168 0 2 0.0 0 0 0 20 0 13 min
#169 0 0 0.0 0 0 0 0 0 3 min
#170 0 1 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 2 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 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 0 0 0 min
#179 0 0 0.0 0 0 0 20 0 3 min
#180 0 3 0.0 0 0 0 20 0 5 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 0 0 1 min
#183 0 0 0.0 0 0 0 0 0 3 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 0 0.0 0 0 0 0 0 1 min
#186 0 0 0.0 0 0 0 20 0 3 min
#187 0 0 0.0 0 0 0 0 0 0 min
#188 0 0 0.0 0 0 0 0 0 1 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 506 0 5 0.0 0 0 40 320 40 21 min
#191 0 0 0.0 0 0 0 0 0 1 min
#192 0 0 0.0 0 0 0 0 0 0 min