elalamein_warfare

El Alamein Warfare Day

29.04.2026 07:19 | Chimera | OCE

Result

4:1

Axis wins

Players

190

Total Kills

2,199

Allied Kills

1,082

Axis Kills

1,117

Match Duration

92 min

Kills/Min

24.0

Normal Match ELO

Allies 1145.0 (all: 799.0)
Ø Match 1100.0
Axis 1055.0 (all: 752.0)

Player Statistics (190)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 917 65 28 2.32 0 903 640 720 60 87 min
#2 662 61 15 4.07 2 1,814 760 800 110 87 min
#3 853 61 24 2.54 0 1,077 860 580 5 86 min
#4 1337 57 29 1.97 0 1,041 420 1,020 300 88 min
#5 1076 54 21 2.57 1 946 380 1,100 851 90 min
#6 1247 46 24 1.92 1 1,201 660 400 70 75 min
#7 966 45 11 4.09 0 543 240 1,140 160 88 min
#8 745 43 35 1.23 0 685 1,080 220 0 87 min
#9 767 39 4 9.75 1 1,819 400 1,260 117 87 min
#10 763 38 10 3.8 0 668 20 1,580 4,919 87 min
#11 823 37 5 7.4 0 379 380 580 60 55 min
#12 1253 35 33 1.06 0 906 660 740 1,172 88 min
#13 1028 35 20 1.75 0 597 280 1,220 340 89 min
#14 761 35 25 1.4 0 444 180 1,260 20 91 min
#15 1245 31 23 1.35 0 921 780 320 100 80 min
#16 992 30 21 1.43 0 592 180 1,200 631 87 min
#17 1058 30 18 1.67 1 519 300 640 25 60 min
#18 1115 30 30 1.0 2 481 740 660 764 87 min
#19 701 30 26 1.15 0 437 560 920 30 87 min
#20 920 29 32 0.91 0 525 280 1,140 838 90 min
#21 786 28 23 1.22 0 829 260 1,180 1,380 87 min
#22 1060 28 21 1.33 0 340 100 960 95 71 min
#23 676 27 27 1.0 0 466 400 460 438 87 min
#24 577 26 40 0.65 1 373 500 600 0 86 min
#25 1008 24 24 1.0 0 412 220 580 110 53 min
#26 650 23 32 0.72 1 974 1,240 220 853 88 min
#27 648 23 18 1.28 3 595 540 600 215 69 min
#28 803 23 27 0.85 0 433 320 880 782 75 min
#29 729 23 12 1.92 0 301 300 1,200 70 88 min
#30 942 22 6 3.67 1 569 420 700 0 67 min
#31 814 22 39 0.56 0 479 440 840 400 87 min
#32 806 22 30 0.73 0 298 140 1,260 570 91 min
#33 842 22 33 0.67 0 227 420 700 722 88 min
#34 831 21 35 0.6 0 407 440 620 225 82 min
#35 580 21 27 0.78 0 331 80 1,140 100 76 min
#36 1028 21 12 1.75 0 277 160 580 85 48 min
#37 925 21 20 1.05 0 251 520 500 205 78 min
#38 944 21 13 1.62 0 197 200 320 0 34 min
#39 654 20 13 1.54 0 676 380 1,100 720 87 min
#40 876 20 39 0.51 0 440 340 660 130 72 min
#41 843 20 24 0.83 1 421 100 1,140 716 78 min
#42 802 20 24 0.83 0 316 280 1,260 3,265 88 min
#43 513 19 42 0.45 1 714 260 1,000 2,020 89 min
#44 695 19 16 1.19 0 486 220 1,220 740 87 min
#45 688 19 37 0.51 1 343 580 360 105 79 min
#46 891 19 6 3.17 0 305 360 240 95 37 min
#47 641 19 16 1.19 0 263 60 1,400 100 87 min
#48 871 19 14 1.36 0 239 280 340 450 41 min
#49 715 19 33 0.58 0 212 340 980 350 87 min
#50 1204 19 10 1.9 0 199 260 260 20 36 min
#51 781 18 9 2.0 0 660 420 860 3,170 73 min
#52 936 18 18 1.0 0 330 620 160 340 50 min
#53 708 18 26 0.69 2 270 580 580 595 78 min
#54 661 17 14 1.21 1 620 560 600 225 71 min
#55 684 17 19 0.89 1 549 380 1,040 1,017 87 min
#56 660 17 16 1.06 0 197 40 1,120 557 71 min
#57 984 17 7 2.43 0 162 140 280 0 28 min
#58 714 16 30 0.53 0 719 480 720 195 87 min
#59 483 16 22 0.73 2 534 580 880 504 87 min
#60 773 16 18 0.89 0 525 240 700 1,865 62 min
#61 645 16 31 0.52 0 196 200 1,100 320 88 min
#62 739 15 22 0.68 0 844 400 720 576 71 min
#63 1208 15 7 2.14 0 413 0 540 30 34 min
#64 718 15 21 0.71 0 183 440 780 175 76 min
#65 921 14 11 1.27 0 285 80 200 5 29 min
#66 1070 14 14 1.0 0 255 500 840 1,342 85 min
#67 426 14 33 0.42 0 243 440 1,560 330 88 min
#68 476 14 16 0.88 0 170 620 680 95 78 min
#69 1359 14 12 1.17 0 156 120 200 100 24 min
#70 659 14 19 0.74 0 150 440 240 110 51 min
#71 647 13 4 3.25 0 1,805 400 1,320 82 90 min
#72 688 13 34 0.38 0 349 260 840 490 87 min
#73 742 13 17 0.76 1 161 180 680 215 63 min
#74 688 12 4 3.0 1 1,724 360 1,180 210 87 min
#75 713 12 22 0.55 0 502 100 1,280 30 91 min
#76 734 12 4 3.0 1 388 20 640 35 37 min
#77 693 12 10 1.2 1 184 460 480 70 59 min
#78 643 12 17 0.71 0 163 180 880 45 65 min
#79 875 12 8 1.5 0 103 0 560 1,378 35 min
#80 542 11 22 0.5 0 238 520 180 291 55 min
#81 616 11 23 0.48 0 213 480 820 445 88 min
#82 533 11 29 0.38 0 180 500 820 375 87 min
#83 557 11 10 1.1 0 105 260 600 10 51 min
#84 537 11 0 11.0 3 95 0 920 125 49 min
#85 1186 10 8 1.25 0 162 20 160 10 22 min
#86 714 10 31 0.32 0 113 560 740 385 88 min
#87 861 9 9 1.0 0 99 60 220 0 23 min
#88 9 2 4.5 0 88 0 220 10 13 min
#89 730 8 13 0.62 0 1,717 760 880 0 87 min
#90 950 8 16 0.5 0 330 380 400 1,231 46 min
#91 532 8 14 0.57 0 247 220 720 305 60 min
#92 748 8 8 1.0 0 205 40 920 65 70 min
#93 8 4 2.0 0 144 0 260 180 17 min
#94 854 8 7 1.14 0 131 20 860 55 51 min
#95 8 0 8.0 0 74 0 120 0 8 min
#96 915 8 11 0.73 0 67 200 300 30 38 min
#97 594 7 9 0.78 0 586 260 1,300 45 86 min
#98 770 7 14 0.5 0 75 100 520 275 41 min
#99 7 2 3.5 0 65 0 200 10 17 min
#100 814 6 8 0.75 0 202 440 120 185 34 min
#101 662 6 17 0.35 2 178 200 820 205 64 min
#102 587 6 24 0.25 0 174 380 580 731 64 min
#103 629 6 2 3.0 1 162 0 860 160 50 min
#104 506 6 22 0.27 0 67 400 440 475 59 min
#105 642 6 2 3.0 0 62 260 100 10 28 min
#106 573 5 8 0.62 0 82 300 340 15 41 min
#107 817 5 4 1.25 0 60 240 200 142 30 min
#108 699 5 10 0.5 0 57 120 280 0 41 min
#109 566 4 19 0.21 0 319 100 1,060 95 70 min
#110 945 4 12 0.33 0 73 40 220 0 21 min
#111 4 1 4.0 0 72 20 160 176 9 min
#112 608 4 10 0.4 0 62 160 360 25 38 min
#113 867 4 7 0.57 0 57 140 220 20 28 min
#114 4 3 1.33 0 31 40 200 0 16 min
#115 583 3 14 0.21 0 39 160 360 0 35 min
#116 3 1 3.0 0 35 40 200 0 18 min
#117 3 5 0.6 0 34 20 140 0 14 min
#118 3 2 1.5 0 30 0 100 0 8 min
#119 2 4 0.5 0 35 0 200 0 13 min
#120 724 2 2 1.0 0 24 0 140 170 26 min
#121 596 2 36 0.06 0 22 80 1,040 476 87 min
#122 2 4 0.5 0 21 0 160 25 14 min
#123 2 2 1.0 0 19 0 80 5 9 min
#124 2 2 1.0 0 19 120 20 5 10 min
#125 2 2 1.0 0 13 80 140 15 15 min
#126 614 1 2 0.5 0 208 100 280 90 36 min
#127 649 1 4 0.25 0 88 60 920 100 53 min
#128 1 1 1.0 0 58 20 120 10 9 min
#129 1 9 0.11 0 37 0 160 5 15 min
#130 926 1 11 0.09 0 27 200 160 10 27 min
#131 1 3 0.33 0 20 0 80 5 8 min
#132 1 1 1.0 0 18 20 60 5 6 min
#133 1 4 0.25 0 15 80 40 0 13 min
#134 497 1 4 0.25 0 13 100 240 0 21 min
#135 1 6 0.17 0 12 0 180 20 18 min
#136 1 2 0.5 0 10 20 40 0 19 min
#137 1 2 0.5 0 10 40 60 25 11 min
#138 1 0 1.0 0 7 0 60 0 4 min
#139 0 1 0.0 0 68 80 80 0 7 min
#140 0 1 0.0 0 68 80 80 20 7 min
#141 0 3 0.0 1 21 60 140 5 13 min
#142 520 0 8 0.0 0 21 220 400 2,685 87 min
#143 0 0 0.0 0 20 0 200 595 15 min
#144 0 2 0.0 0 12 20 140 0 11 min
#145 555 0 12 0.0 0 9 20 820 375 51 min
#146 400 0 7 0.0 0 5 40 200 0 23 min
#147 0 6 0.0 0 3 80 100 0 16 min
#148 0 5 0.0 0 3 0 140 0 11 min
#149 0 0 0.0 0 2 0 40 10 6 min
#150 0 3 0.0 0 1 0 80 0 8 min
#151 0 3 0.0 0 0 20 80 0 10 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 0 0.0 0 0 0 0 0 0 min
#155 0 2 0.0 0 0 0 0 0 4 min
#156 0 0 0.0 0 0 0 0 0 87 min
#157 0 1 0.0 0 0 0 80 0 6 min
#158 0 0 0.0 0 0 0 40 10 18 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 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 1 0 0 40 105 3 min
#165 0 0 0.0 0 0 0 80 0 7 min
#166 0 0 0.0 1 0 0 120 0 11 min
#167 0 1 0.0 0 0 0 20 0 2 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 1 min
#171 0 0 0.0 0 0 0 20 0 4 min
#172 0 2 0.0 0 0 20 20 0 5 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 0 0 1 min
#176 0 2 0.0 0 0 0 180 75 14 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 0 0.0 0 0 0 0 0 87 min
#179 0 0 0.0 0 0 0 0 0 87 min
#180 0 2 0.0 0 0 0 160 155 15 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 1 0.0 0 0 0 260 25 17 min
#183 0 0 0.0 0 0 0 100 0 8 min
#184 0 0 0.0 0 0 0 0 0 1 min
#185 0 1 0.0 0 0 0 80 0 5 min
#186 0 0 0.0 0 0 0 0 0 1 min
#187 0 0 0.0 0 0 0 0 0 0 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 0 0.0 0 0 0 0 0 0 min