elalamein_warfare

El Alamein Warfare Day

10.05.2026 20:13 | GERMAN_BATTLEGROUND_4

Result

0:5

Allied wins

Players

189

Total Kills

2,137

Allied Kills

1,079

Axis Kills

1,058

Match Duration

85 min

Kills/Min

25.1

Normal Match ELO

Allies 1241.0 (all: 784.0)
Ø Match 1170.0
Axis 1098.0 (all: 776.0)
Imbalanced

Player Statistics (189)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1351 71 19 3.74 0 848 280 780 130 70 min
#2 1176 62 17 3.65 1 725 220 1,040 330 70 min
#3 1418 54 13 4.15 0 1,431 660 480 10 67 min
#4 1378 50 30 1.67 0 722 260 1,060 85 81 min
#5 891 48 23 2.09 0 555 240 1,020 10 81 min
#6 1206 45 29 1.55 0 648 260 960 1,361 73 min
#7 1882 42 10 4.2 0 523 220 100 5 23 min
#8 799 41 19 2.16 0 393 800 580 145 83 min
#9 845 40 17 2.35 0 699 840 580 294 81 min
#10 655 37 12 3.08 2 751 460 960 90 81 min
#11 978 36 28 1.29 0 408 260 980 2,355 82 min
#12 695 35 5 7.0 1 1,128 340 1,180 785 81 min
#13 535 34 6 5.67 2 633 480 920 115 81 min
#14 1593 34 14 2.43 0 609 340 160 35 37 min
#15 930 34 17 2.0 0 318 180 1,200 240 81 min
#16 993 33 28 1.18 0 536 740 640 187 81 min
#17 1135 31 27 1.15 0 651 400 860 786 81 min
#18 996 30 21 1.43 0 403 680 540 1,060 81 min
#19 743 29 16 1.81 0 939 1,160 260 145 81 min
#20 853 29 24 1.21 2 828 300 620 95 70 min
#21 868 29 13 2.23 0 825 360 1,040 2,674 81 min
#22 709 29 18 1.61 0 469 460 620 240 68 min
#23 797 29 26 1.12 0 290 160 960 200 78 min
#24 894 28 26 1.08 0 414 420 440 265 63 min
#25 719 27 9 3.0 0 243 620 220 75 53 min
#26 878 26 22 1.18 0 443 720 440 440 81 min
#27 887 26 34 0.76 0 440 800 420 775 83 min
#28 702 26 11 2.36 0 382 280 920 30 75 min
#29 743 26 14 1.86 0 336 380 200 50 39 min
#30 912 25 32 0.78 0 288 280 980 1,127 83 min
#31 944 24 19 1.26 0 374 160 660 185 54 min
#32 993 23 32 0.72 0 751 440 560 280 81 min
#33 580 23 36 0.64 3 314 100 1,120 470 81 min
#34 939 23 23 1.0 0 292 180 860 10 66 min
#35 653 22 25 0.88 0 282 860 480 60 81 min
#36 645 21 29 0.72 0 290 760 540 5 81 min
#37 697 21 20 1.05 0 254 400 860 47 83 min
#38 1280 20 12 1.67 0 538 500 260 1,248 43 min
#39 623 19 29 0.66 1 264 360 920 516 81 min
#40 713 19 24 0.79 0 234 80 760 150 54 min
#41 813 19 29 0.66 0 228 580 560 0 81 min
#42 760 19 32 0.59 0 191 680 620 921 81 min
#43 863 18 26 0.69 0 644 320 1,000 981 81 min
#44 592 18 20 0.9 0 295 380 920 120 81 min
#45 847 18 6 3.0 1 195 120 1,380 2,559 81 min
#46 1068 17 31 0.55 0 569 280 1,020 907 81 min
#47 714 17 21 0.81 1 203 160 1,140 95 81 min
#48 785 17 12 1.42 0 177 400 360 25 45 min
#49 683 17 26 0.65 0 173 880 500 130 81 min
#50 745 16 7 2.29 1 1,074 80 1,140 120 67 min
#51 873 16 20 0.8 0 864 720 600 400 81 min
#52 873 16 14 1.14 1 333 680 380 326 75 min
#53 639 16 11 1.45 0 194 420 520 260 54 min
#54 984 16 17 0.94 0 144 300 120 15 33 min
#55 877 15 35 0.43 2 261 220 960 435 77 min
#56 692 15 24 0.62 1 223 180 1,080 585 82 min
#57 812 14 5 2.8 2 1,082 80 1,120 175 63 min
#58 884 14 16 0.88 3 867 700 580 733 81 min
#59 659 14 21 0.67 0 145 300 760 385 68 min
#60 469 14 16 0.88 0 139 100 1,280 250 81 min
#61 682 13 3 4.33 0 487 400 360 75 38 min
#62 549 13 8 1.62 0 269 260 1,040 10 81 min
#63 807 13 22 0.59 0 180 180 980 85 83 min
#64 706 13 29 0.45 0 173 460 680 50 73 min
#65 1138 13 11 1.18 0 166 220 200 15 28 min
#66 908 12 25 0.48 0 176 220 980 539 77 min
#67 1028 12 19 0.63 0 165 280 160 435 31 min
#68 832 12 19 0.63 0 163 320 480 559 49 min
#69 679 12 27 0.44 1 131 460 220 524 52 min
#70 799 12 5 2.4 0 110 200 280 50 30 min
#71 654 11 22 0.5 1 553 360 240 10 45 min
#72 891 11 8 1.38 0 349 240 240 150 36 min
#73 839 11 23 0.48 0 193 620 740 565 81 min
#74 830 11 19 0.58 0 136 60 1,280 1,124 83 min
#75 817 11 20 0.55 0 109 520 320 20 58 min
#76 845 10 14 0.71 0 205 380 360 790 43 min
#77 897 10 27 0.37 0 197 340 1,000 175 83 min
#78 788 10 7 1.43 0 91 280 140 20 28 min
#79 484 10 24 0.42 0 87 180 840 300 73 min
#80 759 10 12 0.83 0 84 60 360 0 42 min
#81 487 9 5 1.8 1 688 560 1,000 130 81 min
#82 639 9 8 1.12 0 495 440 220 505 42 min
#83 827 9 8 1.12 0 193 560 500 235 67 min
#84 9 2 4.5 0 183 60 120 5 10 min
#85 609 9 21 0.43 0 176 160 1,240 650 81 min
#86 641 9 5 1.8 0 172 380 320 55 38 min
#87 469 9 28 0.32 0 109 140 1,100 1,385 83 min
#88 9 5 1.8 0 93 80 40 80 8 min
#89 685 8 1 8.0 0 211 40 300 10 21 min
#90 709 8 21 0.38 1 193 580 720 370 81 min
#91 8 3 2.67 0 142 140 80 0 15 min
#92 619 8 7 1.14 0 108 280 140 15 33 min
#93 889 8 11 0.73 1 90 200 680 1,489 50 min
#94 607 8 10 0.8 0 76 60 400 0 29 min
#95 733 7 19 0.37 0 676 1,140 280 947 81 min
#96 748 7 15 0.47 0 115 160 460 1,150 50 min
#97 733 7 14 0.5 1 66 280 200 15 32 min
#98 435 7 15 0.47 0 65 380 140 285 37 min
#99 783 6 3 2.0 3 163 40 400 1,402 24 min
#100 577 6 5 1.2 0 85 20 800 195 48 min
#101 6 3 2.0 0 64 40 300 325 20 min
#102 6 6 1.0 0 56 200 60 25 20 min
#103 694 5 2 2.5 11 180 0 1,560 217 81 min
#104 468 5 14 0.36 0 53 180 980 388 70 min
#105 761 5 8 0.62 0 48 120 540 290 37 min
#106 661 4 13 0.31 0 794 480 920 115 81 min
#107 490 4 4 1.0 0 46 100 380 15 28 min
#108 762 4 5 0.8 0 43 100 240 55 23 min
#109 574 4 7 0.57 0 41 260 80 5 25 min
#110 440 4 9 0.44 0 38 80 780 0 55 min
#111 579 4 24 0.17 0 31 340 500 395 64 min
#112 649 3 7 0.43 0 240 220 340 70 34 min
#113 3 7 0.43 0 154 80 180 25 17 min
#114 3 2 1.5 0 90 60 40 15 7 min
#115 3 1 3.0 0 49 20 160 0 11 min
#116 652 3 9 0.33 0 43 120 180 40 29 min
#117 697 3 12 0.25 1 42 340 80 55 38 min
#118 481 3 15 0.2 0 41 280 480 0 45 min
#119 612 3 2 1.5 0 33 120 160 75 32 min
#120 517 3 31 0.1 0 33 160 1,000 2,985 82 min
#121 3 3 1.0 0 32 60 60 0 28 min
#122 730 3 7 0.43 1 26 20 380 15 28 min
#123 613 3 17 0.18 0 24 120 780 715 52 min
#124 684 2 5 0.4 3 1,089 320 1,220 1,020 81 min
#125 686 2 3 0.67 0 367 380 340 40 38 min
#126 2 8 0.25 0 231 120 160 40 19 min
#127 659 2 14 0.14 0 54 300 220 265 37 min
#128 2 1 2.0 0 33 40 20 0 3 min
#129 648 2 5 0.4 2 28 20 460 246 27 min
#130 2 5 0.4 0 26 100 120 80 17 min
#131 595 2 7 0.29 0 25 0 340 35 21 min
#132 2 3 0.67 0 25 0 120 10 9 min
#133 2 5 0.4 0 23 60 40 0 7 min
#134 2 3 0.67 0 23 0 220 0 12 min
#135 810 2 7 0.29 0 21 120 220 0 21 min
#136 2 0 2.0 0 16 60 0 120 11 min
#137 1 1 1.0 0 69 0 120 818 13 min
#138 554 1 11 0.09 0 16 80 380 140 29 min
#139 1 3 0.33 0 12 80 0 5 5 min
#140 679 1 4 0.25 0 12 40 400 70 24 min
#141 1 2 0.5 0 10 60 40 10 8 min
#142 1 11 0.09 0 9 60 220 255 74 min
#143 1 2 0.5 0 6 0 200 0 12 min
#144 0 4 0.0 0 51 80 100 0 15 min
#145 0 4 0.0 0 50 20 100 0 13 min
#146 0 7 0.0 0 21 40 200 0 15 min
#147 0 0 0.0 0 13 0 140 0 11 min
#148 0 4 0.0 0 12 140 60 0 16 min
#149 0 3 0.0 0 5 60 20 5 9 min
#150 0 2 0.0 0 5 40 220 55 17 min
#151 713 0 4 0.0 1 4 180 400 246 33 min
#152 0 5 0.0 0 3 100 80 130 12 min
#153 0 2 0.0 0 2 100 60 80 13 min
#154 0 7 0.0 0 2 180 60 0 18 min
#155 0 3 0.0 0 1 0 300 150 16 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 1 min
#158 0 0 0.0 0 0 0 0 0 0 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 0 0 1 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 1 min
#166 0 0 0.0 0 0 0 0 0 13 min
#167 0 0 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 0 0 0 0 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 2 0.0 0 0 20 180 0 12 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 2 0.0 2 0 20 180 0 11 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 2 0.0 0 0 0 40 0 5 min
#176 0 0 0.0 0 0 0 0 0 12 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 4 0.0 0 0 20 120 0 14 min
#180 0 0 0.0 0 0 0 0 0 1 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 3 0.0 0 0 0 60 25 7 min
#183 0 0 0.0 0 0 20 0 0 1 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 1 0.0 0 0 0 80 0 6 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 2 0.0 0 0 20 160 20 12 min