elalamein_warfare

El Alamein Warfare Day

03.03.2026 21:05 | Glow's Battlegrounds :: US East

Result

0:5

Allied wins

Players

179

Total Kills

1,990

Allied Kills

998

Axis Kills

992

Match Duration

81 min

Kills/Min

24.5

High Match ELO

Allies 1297.0 (all: 798.0)
Ø Match 1225.0
Axis 1152.0 (all: 793.0)
Imbalanced

Player Statistics (179)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 2067 48 15 3.2 3 1,188 80 1,360 6,082 77 min
#2 1286 48 17 2.82 0 881 1,160 160 180 77 min
#3 987 48 20 2.4 0 721 220 980 991 77 min
#4 961 46 31 1.48 0 539 460 780 155 77 min
#5 679 42 14 3.0 0 323 140 840 75 61 min
#6 671 38 3 12.67 1 1,285 300 1,160 105 77 min
#7 1140 37 25 1.48 0 931 80 1,260 1,152 77 min
#8 1474 37 13 2.85 0 396 180 260 40 34 min
#9 761 36 7 5.14 1 850 240 1,000 190 78 min
#10 988 36 25 1.44 2 815 780 420 2,070 77 min
#11 857 36 6 6.0 0 434 720 40 45 43 min
#12 1075 35 27 1.3 0 531 420 840 910 77 min
#13 799 35 26 1.35 0 319 960 280 70 79 min
#14 1181 32 18 1.78 0 818 780 580 1,890 77 min
#15 923 32 18 1.78 0 523 380 960 891 77 min
#16 1019 31 23 1.35 0 580 460 660 95 76 min
#17 31 7 4.43 0 244 200 40 10 17 min
#18 1019 30 22 1.36 0 521 560 680 650 78 min
#19 502 29 5 5.8 0 1,006 300 1,160 65 78 min
#20 986 29 33 0.88 0 579 680 440 135 77 min
#21 781 28 13 2.15 0 457 920 300 521 67 min
#22 698 26 24 1.08 0 768 400 760 1,923 79 min
#23 507 26 6 4.33 8 301 160 1,200 402 80 min
#24 710 26 34 0.76 0 236 180 760 715 73 min
#25 986 25 12 2.08 2 259 200 600 175 48 min
#26 1071 24 22 1.09 0 536 620 340 15 64 min
#27 810 24 6 4.0 0 227 180 280 20 29 min
#28 1019 23 18 1.28 1 1,036 640 640 105 77 min
#29 869 23 27 0.85 0 527 380 760 567 77 min
#30 731 23 22 1.05 1 352 240 960 80 77 min
#31 899 22 19 1.16 0 415 320 900 50 74 min
#32 726 22 38 0.58 0 304 260 980 769 77 min
#33 792 22 29 0.76 0 279 320 800 305 77 min
#34 855 22 38 0.58 0 247 220 920 629 78 min
#35 611 21 7 3.0 1 782 260 1,200 285 77 min
#36 1338 20 19 1.05 2 434 260 460 80 50 min
#37 981 20 28 0.71 0 387 340 200 382 48 min
#38 940 20 27 0.74 0 314 640 280 275 75 min
#39 959 20 21 0.95 0 269 320 640 55 59 min
#40 782 19 17 1.12 0 440 340 820 335 77 min
#41 793 19 16 1.19 0 173 580 500 360 78 min
#42 987 18 6 3.0 0 2,255 1,400 100 806 77 min
#43 754 18 24 0.75 2 880 640 540 1,790 81 min
#44 886 18 22 0.82 1 632 320 960 505 78 min
#45 659 18 21 0.86 1 529 240 960 215 77 min
#46 503 18 18 1.0 0 250 280 960 10 77 min
#47 868 17 18 0.94 0 321 220 560 715 52 min
#48 1125 17 8 2.12 0 217 160 200 25 23 min
#49 920 17 18 0.94 1 188 180 560 365 49 min
#50 680 17 14 1.21 0 174 400 720 40 78 min
#51 685 17 19 0.89 0 158 280 460 60 51 min
#52 772 16 14 1.14 2 372 760 560 1,392 77 min
#53 799 16 13 1.23 0 166 240 420 310 42 min
#54 627 15 6 2.5 2 408 80 880 110 59 min
#55 672 15 25 0.6 0 208 260 800 450 79 min
#56 615 14 18 0.78 1 508 420 280 150 48 min
#57 638 14 37 0.38 0 333 320 780 150 77 min
#58 14 3 4.67 0 132 0 160 0 11 min
#59 826 13 15 0.87 0 445 220 1,120 225 77 min
#60 907 13 20 0.65 0 319 500 300 180 79 min
#61 640 13 17 0.76 0 213 60 1,160 2,262 79 min
#62 1033 13 11 1.18 0 158 80 540 1,530 41 min
#63 899 13 9 1.44 0 130 40 560 485 41 min
#64 1375 13 10 1.3 0 129 100 500 1,145 39 min
#65 613 13 7 1.86 1 115 300 420 130 53 min
#66 757 12 23 0.52 1 304 620 600 550 78 min
#67 709 12 18 0.67 1 173 180 400 160 45 min
#68 771 12 8 1.5 0 154 200 200 75 28 min
#69 827 12 30 0.4 0 105 320 880 2,158 78 min
#70 646 11 19 0.58 0 261 700 500 325 78 min
#71 701 11 10 1.1 0 126 20 520 500 35 min
#72 609 11 15 0.73 0 122 300 280 70 41 min
#73 914 10 10 1.0 1 152 140 180 75 24 min
#74 647 10 16 0.62 1 137 180 780 1,280 78 min
#75 10 5 2.0 0 102 0 300 10 18 min
#76 595 9 8 1.12 2 479 240 680 160 53 min
#77 634 9 31 0.29 0 466 640 460 1,194 77 min
#78 754 9 8 1.12 1 148 120 600 75 50 min
#79 641 9 34 0.26 0 138 380 520 80 78 min
#80 918 9 15 0.6 0 100 100 360 90 33 min
#81 837 9 6 1.5 0 92 40 320 85 25 min
#82 478 9 23 0.39 0 79 460 680 320 77 min
#83 822 8 8 1.0 0 204 40 620 5 44 min
#84 616 8 7 1.14 0 195 300 1,140 985 77 min
#85 859 8 9 0.89 0 140 160 300 10 36 min
#86 588 8 29 0.28 0 116 0 860 425 63 min
#87 609 8 23 0.35 1 100 240 460 390 51 min
#88 762 8 11 0.73 0 87 40 660 545 45 min
#89 1325 8 4 2.0 1 75 120 240 1,422 23 min
#90 521 8 5 1.6 1 70 20 560 45 37 min
#91 635 7 9 0.78 4 466 220 700 70 53 min
#92 701 7 9 0.78 0 151 100 460 170 35 min
#93 716 7 12 0.58 3 100 280 580 480 57 min
#94 719 7 3 2.33 0 62 60 300 405 23 min
#95 594 6 2 3.0 1 653 180 620 85 39 min
#96 649 6 3 2.0 3 267 100 420 195 31 min
#97 670 6 17 0.35 0 194 240 500 55 46 min
#98 858 6 13 0.46 0 134 240 260 90 37 min
#99 713 6 11 0.55 0 56 220 160 0 26 min
#100 666 6 9 0.67 0 51 40 240 150 27 min
#101 730 5 4 1.25 0 1,262 300 1,140 445 81 min
#102 534 5 29 0.17 1 212 660 440 810 77 min
#103 779 5 22 0.23 1 103 420 280 20 57 min
#104 472 5 18 0.28 0 89 420 780 150 77 min
#105 711 5 14 0.36 0 47 240 280 0 40 min
#106 5 5 1.0 0 45 60 180 5 19 min
#107 5 4 1.25 0 40 40 20 0 7 min
#108 575 5 8 0.62 0 31 60 360 100 29 min
#109 1685 4 4 1.0 0 1,291 280 1,180 130 77 min
#110 635 4 7 0.57 0 253 300 360 1,928 41 min
#111 545 4 25 0.16 0 187 660 260 25 78 min
#112 603 4 25 0.16 0 50 420 700 860 79 min
#113 4 6 0.67 0 36 0 220 270 17 min
#114 1124 3 3 1.0 0 1,110 620 80 430 41 min
#115 3 2 1.5 0 105 40 220 0 19 min
#116 3 3 1.0 0 80 40 220 0 15 min
#117 687 3 10 0.3 0 46 100 440 205 32 min
#118 661 3 8 0.38 0 46 140 160 5 22 min
#119 675 3 7 0.43 0 42 100 500 20 40 min
#120 3 2 1.5 0 37 0 140 0 11 min
#121 556 3 6 0.5 0 34 0 320 0 24 min
#122 660 3 9 0.33 0 30 40 340 5 28 min
#123 948 2 6 0.33 0 815 240 1,000 85 77 min
#124 572 2 3 0.67 0 222 480 40 5 29 min
#125 646 2 24 0.08 1 84 260 940 876 78 min
#126 2 3 0.67 0 56 220 40 85 20 min
#127 2 5 0.4 0 24 20 180 15 15 min
#128 2 4 0.5 1 22 20 140 0 16 min
#129 675 2 8 0.25 0 14 20 460 55 33 min
#130 2 3 0.67 0 13 20 40 0 19 min
#131 1 1 1.0 0 18 40 60 0 5 min
#132 1 2 0.5 0 16 0 20 0 4 min
#133 1 6 0.17 0 16 40 80 0 17 min
#134 603 1 14 0.07 0 15 220 500 740 51 min
#135 0 0 0.0 0 142 0 600 5 0 min
#136 554 0 11 0.0 0 16 100 480 20 39 min
#137 0 0 0.0 0 11 0 100 0 7 min
#138 0 1 0.0 0 6 0 200 0 15 min
#139 0 3 0.0 0 4 60 120 0 12 min
#140 402 0 4 0.0 0 2 120 120 0 21 min
#141 0 5 0.0 0 2 0 200 75 18 min
#142 416 0 10 0.0 0 2 20 400 105 50 min
#143 0 0 0.0 0 0 0 0 0 0 min
#144 0 0 0.0 0 0 0 40 0 4 min
#145 0 2 0.0 0 0 0 120 0 18 min
#146 0 0 0.0 0 0 0 0 0 1 min
#147 0 0 0.0 0 0 0 20 0 2 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 3 0.0 0 0 40 120 0 13 min
#150 0 0 0.0 0 0 0 0 0 1 min
#151 0 0 0.0 0 0 0 20 0 3 min
#152 0 0 0.0 0 0 0 0 0 0 min
#153 0 0 0.0 0 0 0 0 0 7 min
#154 0 0 0.0 0 0 0 0 0 5 min
#155 0 0 0.0 0 0 0 0 0 2 min
#156 0 2 0.0 0 0 0 200 75 17 min
#157 0 0 0.0 0 0 0 0 0 7 min
#158 0 0 0.0 0 0 0 60 0 5 min
#159 0 2 0.0 0 0 80 0 0 7 min
#160 0 0 0.0 0 0 0 0 0 1 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 20 0 3 min
#164 0 1 0.0 0 0 0 60 5 6 min
#165 0 1 0.0 0 0 20 20 0 5 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 0 0.0 0 0 0 20 0 0 min
#169 0 2 0.0 0 0 0 20 0 3 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 0 0 5 min
#172 0 9 0.0 1 0 40 160 150 17 min
#173 0 0 0.0 0 0 0 0 0 7 min
#174 0 0 0.0 0 0 0 0 0 1 min
#175 0 0 0.0 0 0 0 20 0 3 min
#176 0 0 0.0 0 0 0 20 0 1 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 0 0.0 0 0 0 0 0 1 min
#179 0 0 0.0 0 0 0 0 0 0 min