elalamein_warfare

El Alamein Warfare Day

11.05.2026 14:42 | Chimera_5

Result

5:0

Axis wins

Players

171

Total Kills

1,839

Allied Kills

821

Axis Kills

1,018

Match Duration

83 min

Kills/Min

22.0

Normal Match ELO

Allies 947.0 (all: 709.0)
Ø Match 1116.0
Axis 1286.0 (all: 802.0)
Highly imbalanced

Player Statistics (171)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1887 59 17 3.47 0 1,025 520 340 559 71 min
#2 822 45 27 1.67 1 950 600 380 45 79 min
#3 805 44 1 44.0 3 1,085 80 1,500 360 79 min
#4 972 42 6 7.0 2 912 100 1,340 35 79 min
#5 996 42 23 1.83 0 633 440 540 90 59 min
#6 1121 42 24 1.75 0 529 520 400 280 57 min
#7 960 41 22 1.86 0 419 340 920 540 78 min
#8 880 38 30 1.27 0 711 200 1,040 585 78 min
#9 783 38 12 3.17 2 574 360 1,020 241 79 min
#10 971 33 26 1.27 0 531 160 1,060 945 80 min
#11 923 32 18 1.78 0 473 0 1,340 800 79 min
#12 891 31 26 1.19 0 566 260 1,040 20 80 min
#13 532 31 16 1.94 0 278 240 1,180 105 79 min
#14 1087 31 12 2.58 0 264 320 160 170 36 min
#15 797 30 12 2.5 0 263 260 980 265 79 min
#16 820 29 29 1.0 0 1,039 1,020 240 525 82 min
#17 808 29 34 0.85 0 359 300 820 475 79 min
#18 783 29 16 1.81 1 304 560 640 85 79 min
#19 1658 28 23 1.22 0 519 780 400 682 82 min
#20 783 27 21 1.29 1 727 220 700 5 66 min
#21 727 27 18 1.5 0 447 340 1,080 210 79 min
#22 1288 26 3 8.67 3 451 1,040 480 5,903 79 min
#23 1245 26 14 1.86 0 238 320 420 200 43 min
#24 837 24 5 4.8 1 734 80 1,360 201 79 min
#25 931 24 23 1.04 0 287 60 860 568 58 min
#26 1002 24 13 1.85 0 278 320 300 55 42 min
#27 1297 23 6 3.83 0 211 60 420 20 29 min
#28 854 22 1 22.0 0 407 80 1,400 30 79 min
#29 863 22 23 0.96 0 301 200 920 50 80 min
#30 910 22 6 3.67 0 262 320 220 20 34 min
#31 750 21 17 1.24 0 794 280 160 10 39 min
#32 495 20 6 3.33 1 628 380 840 10 71 min
#33 933 20 23 0.87 0 330 260 240 340 38 min
#34 918 20 7 2.86 0 217 760 140 30 51 min
#35 997 19 16 1.19 0 829 540 680 50 78 min
#36 684 19 27 0.7 0 824 320 840 930 77 min
#37 600 19 2 9.5 0 446 440 160 15 32 min
#38 837 19 21 0.9 0 390 300 580 195 54 min
#39 696 18 13 1.38 0 786 780 640 3,215 79 min
#40 893 18 37 0.49 0 350 460 560 1,270 79 min
#41 960 18 6 3.0 0 179 40 400 50 41 min
#42 533 17 24 0.71 0 363 500 800 740 79 min
#43 705 17 4 4.25 1 252 520 500 55 59 min
#44 807 17 14 1.21 0 146 180 460 35 75 min
#45 945 16 9 1.78 0 873 420 860 315 79 min
#46 1036 16 4 4.0 0 418 60 660 70 41 min
#47 817 16 47 0.34 0 361 640 400 943 80 min
#48 774 16 9 1.78 2 359 100 1,400 110 80 min
#49 704 16 20 0.8 1 267 320 1,000 210 79 min
#50 708 16 7 2.29 0 153 320 140 270 31 min
#51 797 15 9 1.67 0 1,025 720 240 503 60 min
#52 841 14 10 1.4 1 572 80 1,420 185 79 min
#53 826 14 14 1.0 1 403 340 840 4,277 72 min
#54 985 14 9 1.56 0 324 260 380 365 45 min
#55 642 14 16 0.88 0 149 440 60 55 49 min
#56 612 14 27 0.52 0 124 500 780 60 80 min
#57 948 13 18 0.72 1 529 620 780 202 79 min
#58 521 13 35 0.37 0 388 340 640 445 74 min
#59 819 13 20 0.65 0 194 500 100 85 56 min
#60 1001 13 12 1.08 0 140 200 500 85 50 min
#61 732 13 25 0.52 0 138 200 1,000 30 80 min
#62 780 11 15 0.73 0 374 380 400 45 58 min
#63 939 11 22 0.5 1 350 60 1,140 1,240 79 min
#64 684 11 24 0.46 3 242 360 1,000 2,420 79 min
#65 480 11 21 0.52 0 190 160 1,000 185 79 min
#66 600 11 23 0.48 0 123 240 1,000 320 79 min
#67 625 10 16 0.62 1 429 60 1,340 535 79 min
#68 790 10 6 1.67 0 95 160 200 10 24 min
#69 723 10 3 3.33 0 81 40 360 45 26 min
#70 704 9 2 4.5 0 1,035 80 1,520 1,661 79 min
#71 710 9 4 2.25 0 313 140 560 273 37 min
#72 542 9 24 0.38 0 250 620 560 395 79 min
#73 537 9 15 0.6 0 178 60 680 1,440 57 min
#74 608 9 20 0.45 0 97 720 460 415 79 min
#75 1050 9 8 1.12 0 86 260 100 90 23 min
#76 460 8 25 0.32 0 421 260 360 55 44 min
#77 648 8 11 0.73 0 264 420 960 0 75 min
#78 568 8 5 1.6 0 94 780 120 190 51 min
#79 515 8 3 2.67 1 91 200 520 10 43 min
#80 579 8 21 0.38 0 88 320 720 0 64 min
#81 524 8 28 0.29 0 86 560 620 325 79 min
#82 819 8 12 0.67 1 85 280 980 95 77 min
#83 1268 8 6 1.33 2 79 640 820 820 79 min
#84 734 7 15 0.47 0 113 420 60 0 34 min
#85 7 5 1.4 0 91 140 100 55 18 min
#86 615 6 31 0.19 0 244 360 800 70 82 min
#87 576 6 15 0.4 0 235 280 920 650 72 min
#88 664 6 8 0.75 0 78 140 280 15 27 min
#89 574 6 9 0.67 0 66 100 260 5 23 min
#90 554 5 5 1.0 0 192 20 760 95 44 min
#91 455 5 18 0.28 0 76 280 960 719 79 min
#92 5 8 0.62 0 58 120 140 10 18 min
#93 548 5 17 0.29 0 55 80 380 0 41 min
#94 750 5 10 0.5 0 50 0 240 115 21 min
#95 730 5 11 0.45 0 49 40 340 5 26 min
#96 380 5 8 0.62 0 45 180 400 0 35 min
#97 4 14 0.29 1 95 140 20 100 19 min
#98 536 4 7 0.57 0 90 160 360 175 34 min
#99 481 4 1 4.0 1 74 20 660 0 35 min
#100 438 4 15 0.27 0 57 60 340 0 32 min
#101 670 4 27 0.15 0 50 400 720 1,436 79 min
#102 4 1 4.0 0 46 0 140 5 10 min
#103 907 4 7 0.57 0 45 80 160 20 22 min
#104 506 4 10 0.4 0 31 220 120 0 25 min
#105 742 3 8 0.38 0 943 400 1,080 95 79 min
#106 530 3 0 3.0 0 396 80 1,340 5 80 min
#107 400 3 3 1.0 0 317 140 600 15 38 min
#108 548 3 23 0.13 0 172 260 940 725 79 min
#109 3 8 0.38 0 155 120 80 0 18 min
#110 555 3 32 0.09 1 135 420 800 3,681 79 min
#111 985 3 6 0.5 0 74 120 280 5 29 min
#112 872 3 6 0.5 0 61 140 100 0 21 min
#113 699 3 7 0.43 0 48 260 100 95 29 min
#114 1080 3 5 0.6 0 42 40 440 60 28 min
#115 691 3 14 0.21 0 38 580 380 425 82 min
#116 759 3 0 3.0 0 21 220 380 0 32 min
#117 361 2 16 0.12 0 147 60 520 960 53 min
#118 589 2 6 0.33 0 67 100 200 5 23 min
#119 797 2 15 0.13 0 32 180 480 15 42 min
#120 419 2 17 0.12 0 28 140 480 0 44 min
#121 475 2 12 0.17 1 26 260 280 10 39 min
#122 587 2 5 0.4 0 26 400 720 90 62 min
#123 318 2 7 0.29 0 18 60 480 0 37 min
#124 2 2 1.0 0 18 40 20 0 6 min
#125 2 5 0.4 0 17 140 120 0 17 min
#126 555 1 6 0.17 0 105 140 1,320 495 81 min
#127 1 2 0.5 0 71 120 120 5 15 min
#128 1 3 0.33 0 55 0 60 0 8 min
#129 1 3 0.33 0 26 240 60 0 20 min
#130 1 6 0.17 0 12 40 100 0 12 min
#131 1 2 0.5 0 11 0 40 5 5 min
#132 809 1 4 0.25 0 8 60 100 0 24 min
#133 591 1 3 0.33 0 5 40 160 0 22 min
#134 603 0 4 0.0 2 724 80 1,280 60 79 min
#135 0 1 0.0 0 190 140 80 60 14 min
#136 0 3 0.0 0 20 0 100 0 10 min
#137 0 11 0.0 0 12 20 160 10 20 min
#138 551 0 4 0.0 0 6 0 380 0 21 min
#139 0 5 0.0 0 5 60 120 75 14 min
#140 0 5 0.0 1 2 0 60 25 5 min
#141 0 1 0.0 0 1 0 0 0 2 min
#142 0 1 0.0 0 1 0 80 50 4 min
#143 0 1 0.0 0 1 0 0 0 4 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 0 0 0.0 0 0 0 0 0 2 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 2 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 0 0 0 min
#153 0 0 0.0 0 0 0 0 0 0 min
#154 0 1 0.0 0 0 0 100 15 6 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 1 0.0 0 0 0 0 0 20 min
#157 0 0 0.0 0 0 0 0 0 7 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 4 0.0 0 0 0 60 142 4 min
#161 0 0 0.0 0 0 0 0 0 0 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 1 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 7 min
#167 0 0 0.0 0 0 0 0 0 0 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 7 min
#171 0 0 0.0 0 0 0 0 0 0 min