elalamein_warfare

El Alamein Warfare Day

04.08.2026 07:15 | BigD_3

Result

4:1

Axis wins

Players

198

Total Kills

2,300

Allied Kills

1,085

Axis Kills

1,215

Match Duration

90 min

Kills/Min

25.6

Normal Match ELO

Allies 1045.0 (all: 770.0)
Ø Match 1187.0
Axis 1329.0 (all: 792.0)
Highly imbalanced

Player Statistics (198)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1881 107 17 6.29 0 994 120 1,140 35 71 min
#2 2103 101 33 3.06 1 2,551 540 720 335 85 min
#3 1033 62 15 4.13 0 753 240 1,180 120 85 min
#4 1056 53 23 2.3 0 596 520 880 45 85 min
#5 1371 48 9 5.33 1 1,892 760 460 380 71 min
#6 1075 47 25 1.88 0 422 800 240 55 74 min
#7 1003 43 25 1.72 0 417 720 500 310 79 min
#8 666 38 17 2.24 0 398 960 560 130 87 min
#9 1202 37 15 2.47 2 322 580 260 80 51 min
#10 762 36 29 1.24 2 1,110 720 480 65 86 min
#11 578 35 5 7.0 0 327 460 700 145 64 min
#12 839 34 30 1.13 1 723 440 860 260 85 min
#13 745 34 23 1.48 0 356 720 540 330 80 min
#14 1199 32 12 2.67 0 465 460 200 15 40 min
#15 1028 32 9 3.56 0 283 580 140 95 40 min
#16 743 30 19 1.58 0 419 400 1,080 292 85 min
#17 866 29 27 1.07 1 477 400 560 110 71 min
#18 893 28 15 1.87 0 1,006 1,360 200 253 85 min
#19 938 28 32 0.88 2 280 520 900 1,614 85 min
#20 724 28 30 0.93 0 262 520 440 123 72 min
#21 748 27 33 0.82 0 485 80 1,280 2,317 85 min
#22 680 27 23 1.17 0 374 360 1,120 215 87 min
#23 931 27 14 1.93 0 291 480 280 375 48 min
#24 948 26 36 0.72 1 321 600 640 55 85 min
#25 627 25 22 1.14 0 333 260 800 265 66 min
#26 662 25 32 0.78 0 328 540 860 95 85 min
#27 960 25 18 1.39 0 257 120 820 5 68 min
#28 826 24 17 1.41 0 413 160 700 45 57 min
#29 714 24 34 0.71 0 329 200 1,000 190 80 min
#30 831 24 4 6.0 0 236 0 680 5 45 min
#31 968 23 15 1.53 2 740 540 560 2,486 67 min
#32 767 23 34 0.68 0 495 500 820 165 85 min
#33 984 23 15 1.53 1 478 380 400 375 51 min
#34 842 23 26 0.88 0 320 820 440 725 81 min
#35 632 23 14 1.64 0 240 760 180 10 59 min
#36 1044 22 18 1.22 1 278 120 1,380 2,355 85 min
#37 724 22 14 1.57 0 276 300 860 190 66 min
#38 608 22 27 0.81 0 256 280 1,200 1,051 85 min
#39 849 21 34 0.62 0 271 1,120 220 365 85 min
#40 590 20 4 5.0 0 964 160 1,180 150 70 min
#41 867 20 8 2.5 4 671 200 1,240 45 85 min
#42 1003 20 13 1.54 0 557 320 120 120 34 min
#43 820 20 43 0.47 0 300 540 380 15 74 min
#44 727 20 31 0.65 1 209 360 440 275 66 min
#45 553 20 26 0.77 0 205 400 880 150 82 min
#46 801 20 31 0.65 0 188 260 1,160 1,443 85 min
#47 735 20 13 1.54 0 182 660 420 185 62 min
#48 893 19 3 6.33 3 392 0 1,700 3,504 85 min
#49 712 19 26 0.73 0 172 60 1,160 115 85 min
#50 1042 18 27 0.67 0 482 40 960 550 64 min
#51 786 18 16 1.12 0 456 280 1,120 2,745 84 min
#52 1109 18 14 1.29 1 265 260 120 90 30 min
#53 1057 18 12 1.5 0 203 160 260 145 28 min
#54 664 17 14 1.21 0 326 400 880 1,645 85 min
#55 565 17 36 0.47 0 190 340 800 25 77 min
#56 609 17 26 0.65 0 167 60 1,140 490 76 min
#57 506 16 12 1.33 0 475 220 800 260 62 min
#58 505 15 14 1.07 0 175 340 280 5 55 min
#59 894 15 10 1.5 0 135 60 420 15 30 min
#60 801 14 26 0.54 0 397 320 580 5 64 min
#61 760 14 27 0.52 0 193 340 900 711 85 min
#62 549 14 34 0.41 0 188 0 1,340 874 85 min
#63 673 13 7 1.86 0 1,242 840 440 691 79 min
#64 830 13 16 0.81 0 797 360 520 200 58 min
#65 660 13 13 1.0 0 192 320 360 0 44 min
#66 870 13 18 0.72 1 191 140 1,440 300 85 min
#67 655 13 20 0.65 0 154 0 520 592 40 min
#68 598 12 26 0.46 1 609 980 360 145 87 min
#69 725 12 19 0.63 0 398 660 320 1,292 60 min
#70 704 12 34 0.35 0 272 580 340 10 73 min
#71 12 2 6.0 0 92 20 200 5 12 min
#72 808 11 15 0.73 0 451 100 320 70 32 min
#73 641 11 32 0.34 0 222 640 640 278 82 min
#74 796 11 4 2.75 0 204 500 260 25 43 min
#75 476 11 36 0.31 1 118 480 560 894 74 min
#76 1020 11 12 0.92 0 117 400 200 30 34 min
#77 11 2 5.5 0 87 120 40 0 12 min
#78 558 10 24 0.42 0 408 420 1,040 70 85 min
#79 10 5 2.0 1 288 40 200 0 15 min
#80 671 10 20 0.5 1 146 760 540 1,921 85 min
#81 482 10 16 0.62 1 144 520 220 15 52 min
#82 657 10 1 10.0 0 125 440 0 80 23 min
#83 873 10 10 1.0 0 100 300 380 75 40 min
#84 736 10 8 1.25 0 83 0 460 10 31 min
#85 858 10 9 1.11 0 78 60 220 15 32 min
#86 614 9 14 0.64 1 119 0 660 621 43 min
#87 9 1 9.0 1 92 20 100 0 8 min
#88 817 9 1 9.0 0 90 0 200 5 22 min
#89 9 9 1.0 0 76 60 160 20 15 min
#90 807 8 7 1.14 0 230 200 260 0 39 min
#91 660 8 14 0.57 0 142 180 560 0 54 min
#92 632 8 25 0.32 0 127 340 940 320 85 min
#93 599 8 22 0.36 0 122 520 900 722 85 min
#94 813 8 4 2.0 0 108 80 540 5 49 min
#95 772 8 32 0.25 0 101 440 500 721 62 min
#96 671 7 14 0.5 0 951 1,080 300 405 85 min
#97 606 7 21 0.33 0 197 380 1,140 512 85 min
#98 650 7 12 0.58 1 108 520 380 10 54 min
#99 439 7 23 0.3 0 78 220 1,180 115 85 min
#100 7 1 7.0 0 77 0 300 0 16 min
#101 851 7 10 0.7 0 71 120 180 565 23 min
#102 830 7 2 3.5 0 62 20 220 195 25 min
#103 512 7 27 0.26 1 61 120 1,000 650 71 min
#104 7 0 7.0 0 43 0 260 165 15 min
#105 394 6 6 1.0 4 181 140 960 120 63 min
#106 873 6 20 0.3 0 162 620 400 1,420 67 min
#107 799 6 12 0.5 0 139 180 400 0 35 min
#108 691 6 10 0.6 0 75 0 760 25 47 min
#109 6 4 1.5 0 55 80 220 0 17 min
#110 805 6 9 0.67 0 51 100 260 30 27 min
#111 601 5 17 0.29 0 166 100 580 45 51 min
#112 5 4 1.25 0 165 20 120 100 17 min
#113 899 5 7 0.71 1 150 120 180 125 21 min
#114 591 5 9 0.56 0 125 0 460 20 29 min
#115 660 5 18 0.28 0 102 220 240 190 39 min
#116 956 5 8 0.62 1 65 200 100 150 21 min
#117 679 5 25 0.2 1 60 0 460 309 38 min
#118 610 5 7 0.71 0 56 140 380 15 40 min
#119 519 5 21 0.24 0 38 260 440 15 70 min
#120 5 2 2.5 0 34 20 100 0 8 min
#121 815 4 3 1.33 0 230 0 380 35 25 min
#122 574 4 26 0.15 1 89 320 1,020 590 85 min
#123 685 4 10 0.4 0 81 180 220 280 26 min
#124 990 4 8 0.5 0 80 0 420 15 26 min
#125 4 7 0.57 0 71 60 180 0 16 min
#126 558 4 10 0.4 0 65 500 140 90 39 min
#127 563 4 3 1.33 0 38 20 340 150 22 min
#128 1019 3 4 0.75 0 183 40 500 5 31 min
#129 823 3 3 1.0 0 53 120 40 30 26 min
#130 3 2 1.5 0 38 0 140 230 9 min
#131 635 3 8 0.38 0 34 200 120 20 25 min
#132 3 2 1.5 0 15 40 80 5 11 min
#133 566 2 8 0.25 0 73 0 400 75 24 min
#134 551 2 14 0.14 0 72 640 800 604 81 min
#135 652 2 8 0.25 0 21 460 100 5 41 min
#136 2 7 0.29 0 19 20 180 75 16 min
#137 689 1 3 0.33 2 807 100 1,080 536 76 min
#138 1 3 0.33 0 66 40 160 0 19 min
#139 1 6 0.17 0 58 20 80 0 10 min
#140 1 4 0.25 0 32 60 40 5 12 min
#141 693 1 4 0.25 0 12 100 340 460 26 min
#142 1 5 0.2 0 12 0 240 80 19 min
#143 1 4 0.25 0 12 0 180 38 12 min
#144 1 5 0.2 1 11 60 220 161 17 min
#145 530 1 7 0.14 0 8 0 420 265 37 min
#146 708 1 7 0.14 0 6 100 800 1,642 51 min
#147 715 0 7 0.0 0 501 340 420 260 43 min
#148 0 3 0.0 0 119 20 200 0 13 min
#149 0 0 0.0 0 51 0 160 0 0 min
#150 0 0 0.0 0 37 180 40 0 12 min
#151 760 0 2 0.0 0 30 160 380 900 36 min
#152 0 2 0.0 0 26 20 80 20 11 min
#153 0 1 0.0 0 9 20 0 0 11 min
#154 0 2 0.0 1 5 0 280 5 20 min
#155 0 6 0.0 0 5 80 100 0 15 min
#156 0 3 0.0 0 4 0 60 0 4 min
#157 0 4 0.0 0 4 40 100 5 13 min
#158 0 2 0.0 0 2 0 60 55 6 min
#159 0 1 0.0 0 2 0 40 0 4 min
#160 0 1 0.0 0 1 20 100 0 14 min
#161 0 0 0.0 0 1 0 120 0 8 min
#162 487 0 6 0.0 0 1 100 200 0 21 min
#163 0 2 0.0 0 1 0 0 0 1 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 5 0 0 60 0 6 min
#166 0 0 0.0 0 0 0 60 330 6 min
#167 0 1 0.0 0 0 0 0 0 1 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 60 0 0 9 min
#170 0 0 0.0 0 0 0 0 0 7 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
#174 0 0 0.0 0 0 0 0 0 7 min
#175 0 1 0.0 0 0 0 240 0 18 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 0 0 2 min
#178 0 2 0.0 0 0 0 80 30 7 min
#179 0 0 0.0 0 0 0 0 0 1 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 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 2 min
#184 0 1 0.0 0 0 0 20 0 12 min
#185 0 0 0.0 1 0 0 20 0 2 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 0 0.0 0 0 0 0 0 3 min
#188 0 1 0.0 0 0 0 40 0 3 min
#189 0 0 0.0 0 0 0 0 0 1 min
#190 0 7 0.0 0 0 40 80 0 12 min
#191 0 0 0.0 3 0 0 40 0 1 min
#192 0 0 0.0 0 0 0 0 0 7 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 0 0.0 0 0 0 0 0 0 min
#195 0 0 0.0 0 0 0 0 0 0 min
#196 0 1 0.0 1 0 0 20 0 3 min
#197 0 0 0.0 0 0 0 0 0 0 min
#198 0 0 0.0 0 0 0 0 0 0 min