elalamein_offensive_ger

El Alamein Offensive Day DAK attack

27.03.2026 05:26 | Glow's Battlegrounds :: US Central

Result

4:1

Axis wins

Players

185

Total Kills

2,038

Allied Kills

955

Axis Kills

1,083

Match Duration

84 min

Kills/Min

24.4

High Match ELO

Allies 1212.0 (all: 778.0)
Ø Match 1214.0
Axis 1216.0 (all: 821.0)

Player Statistics (185)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1233 57 30 1.9 0 608 780 520 535 79 min
#2 669 54 4 13.5 2 1,776 520 980 260 79 min
#3 1384 52 20 2.6 0 583 700 600 847 79 min
#4 1537 50 19 2.63 0 484 160 820 250 61 min
#5 1077 48 30 1.6 0 609 620 620 135 79 min
#6 869 47 9 5.22 0 616 380 1,140 20 79 min
#7 1147 45 14 3.21 0 883 660 800 40 79 min
#8 724 44 9 4.89 0 758 80 1,240 193 74 min
#9 1798 40 25 1.6 2 761 800 440 60 79 min
#10 904 39 17 2.29 1 575 0 1,100 280 74 min
#11 1057 39 12 3.25 0 542 260 1,140 355 79 min
#12 1228 37 28 1.32 0 366 700 520 40 76 min
#13 1125 37 5 7.4 0 348 220 420 15 37 min
#14 821 36 5 7.2 1 1,707 500 1,020 415 79 min
#15 853 34 18 1.89 0 437 0 1,320 50 77 min
#16 722 34 24 1.42 0 324 20 1,360 658 79 min
#17 555 33 5 6.6 0 1,913 580 540 60 63 min
#18 1325 33 42 0.79 0 738 60 1,180 295 79 min
#19 600 33 8 4.12 1 570 480 440 40 58 min
#20 1109 33 17 1.94 0 494 100 820 135 55 min
#21 1137 32 6 5.33 2 494 80 1,340 4,102 79 min
#22 1031 32 5 6.4 0 366 280 400 155 41 min
#23 1094 30 27 1.11 1 373 840 220 483 70 min
#24 963 29 24 1.21 1 472 920 200 1,248 71 min
#25 1490 29 16 1.81 0 262 20 680 90 43 min
#26 1013 27 40 0.68 2 425 60 1,160 45 82 min
#27 1175 27 11 2.45 0 302 400 320 30 41 min
#28 1074 27 47 0.57 1 289 40 1,180 190 79 min
#29 623 26 15 1.73 1 592 0 1,360 435 79 min
#30 959 26 24 1.08 0 379 220 500 170 50 min
#31 1033 25 38 0.66 0 517 580 640 475 78 min
#32 1288 24 17 1.41 0 412 340 280 115 46 min
#33 1079 23 7 3.29 0 296 20 540 15 32 min
#34 902 23 14 1.64 0 256 20 500 230 32 min
#35 798 22 18 1.22 0 1,011 600 500 215 68 min
#36 641 22 31 0.71 0 279 780 460 315 79 min
#37 1059 21 20 1.05 0 356 820 360 220 71 min
#38 773 21 12 1.75 0 178 0 1,440 4,304 79 min
#39 517 20 20 1.0 2 617 0 1,160 330 79 min
#40 20 3 6.67 0 280 180 20 5 15 min
#41 725 19 9 2.11 1 250 360 100 5 30 min
#42 783 19 16 1.19 0 184 0 760 5 50 min
#43 821 18 23 0.78 0 478 60 940 805 65 min
#44 716 18 16 1.12 0 337 660 220 624 52 min
#45 692 18 24 0.75 0 329 40 880 220 61 min
#46 1039 17 18 0.94 0 573 0 960 0 60 min
#47 755 17 5 3.4 0 494 0 900 210 50 min
#48 629 16 21 0.76 0 374 120 700 205 52 min
#49 892 16 26 0.62 0 216 620 220 518 60 min
#50 638 16 33 0.48 0 195 680 620 750 79 min
#51 655 16 14 1.14 0 151 0 860 1,026 64 min
#52 949 14 6 2.33 0 618 240 1,080 4,150 79 min
#53 907 14 26 0.54 1 516 220 600 2,100 55 min
#54 754 14 16 0.88 0 185 520 200 5 44 min
#55 966 13 19 0.68 0 462 580 680 1,815 79 min
#56 824 13 3 4.33 0 391 0 520 0 31 min
#57 698 13 24 0.54 0 115 820 420 480 79 min
#58 1060 12 3 4.0 0 292 0 500 20 27 min
#59 838 12 22 0.55 0 175 0 1,380 5,500 82 min
#60 527 12 5 2.4 0 158 140 520 0 38 min
#61 603 12 11 1.09 0 130 180 340 35 40 min
#62 635 12 4 3.0 0 98 180 160 0 21 min
#63 915 11 11 1.0 0 170 0 800 75 49 min
#64 473 11 26 0.42 0 158 0 1,040 110 75 min
#65 936 11 19 0.58 0 149 240 320 138 38 min
#66 570 10 10 1.0 2 448 0 1,380 80 78 min
#67 633 10 19 0.53 2 429 220 540 1,765 52 min
#68 670 10 20 0.5 0 278 600 200 160 58 min
#69 927 10 22 0.45 0 101 320 240 190 43 min
#70 10 7 1.43 0 90 0 120 80 8 min
#71 1047 10 0 10.0 0 85 260 20 0 17 min
#72 734 9 20 0.45 0 240 480 560 1,112 67 min
#73 675 9 23 0.39 0 215 0 1,400 925 79 min
#74 760 9 21 0.43 0 128 320 780 501 64 min
#75 808 9 19 0.47 0 127 120 640 230 61 min
#76 620 9 29 0.31 0 107 600 340 0 63 min
#77 1004 9 14 0.64 0 79 140 120 316 23 min
#78 698 8 33 0.24 3 313 420 320 265 58 min
#79 648 8 19 0.42 0 193 640 200 40 58 min
#80 928 8 21 0.38 1 172 0 1,060 1,479 62 min
#81 879 8 15 0.53 0 149 0 420 0 28 min
#82 8 5 1.6 1 70 100 120 105 13 min
#83 989 7 3 2.33 1 333 360 520 1,915 60 min
#84 548 7 23 0.3 0 104 480 180 75 42 min
#85 610 7 21 0.33 0 85 0 1,320 575 79 min
#86 7 5 1.4 0 81 180 0 0 14 min
#87 680 6 24 0.25 0 528 0 1,120 1,446 72 min
#88 726 6 9 0.67 0 275 80 800 265 52 min
#89 728 6 21 0.29 0 129 140 700 65 59 min
#90 550 6 23 0.26 0 110 440 460 666 57 min
#91 6 0 6.0 0 82 0 220 25 12 min
#92 669 6 7 0.86 0 79 20 480 265 32 min
#93 607 6 9 0.67 0 61 0 380 160 25 min
#94 6 8 0.75 0 50 0 160 0 12 min
#95 609 5 5 1.0 0 1,868 580 600 105 65 min
#96 873 5 10 0.5 0 188 100 340 130 30 min
#97 552 5 27 0.19 0 178 540 600 0 73 min
#98 644 5 13 0.38 0 81 180 440 15 42 min
#99 611 5 17 0.29 0 68 60 860 840 58 min
#100 506 5 27 0.19 1 58 60 880 135 61 min
#101 5 1 5.0 0 48 0 40 0 2 min
#102 609 5 7 0.71 0 44 20 400 0 44 min
#103 719 4 13 0.31 0 315 220 560 415 51 min
#104 678 4 37 0.11 0 111 700 500 800 79 min
#105 849 4 8 0.5 0 109 0 440 30 27 min
#106 4 2 2.0 0 78 0 200 25 13 min
#107 500 4 18 0.22 0 64 480 720 405 75 min
#108 607 4 27 0.15 0 56 40 1,140 1,105 82 min
#109 559 4 13 0.31 0 46 260 360 0 45 min
#110 4 6 0.67 0 46 60 80 0 12 min
#111 4 1 4.0 0 34 60 80 80 9 min
#112 591 4 5 0.8 0 33 0 500 65 29 min
#113 1035 3 9 0.33 0 257 0 400 395 25 min
#114 488 3 15 0.2 0 73 80 1,040 125 72 min
#115 594 3 8 0.38 0 36 300 160 110 31 min
#116 762 3 12 0.25 0 25 300 260 0 37 min
#117 772 2 13 0.15 0 70 400 40 95 43 min
#118 2 5 0.4 0 19 120 80 150 14 min
#119 810 2 8 0.25 0 19 0 160 50 16 min
#120 451 2 1 2.0 0 16 80 100 35 21 min
#121 1 5 0.2 0 76 100 80 180 15 min
#122 492 1 16 0.06 0 69 0 1,200 3,942 71 min
#123 747 1 6 0.17 0 61 260 40 0 21 min
#124 534 1 9 0.11 0 24 0 240 225 35 min
#125 537 1 6 0.17 0 24 40 480 110 29 min
#126 507 1 19 0.05 0 21 20 600 1,080 42 min
#127 458 1 3 0.33 0 15 140 100 0 17 min
#128 1 2 0.5 0 13 40 60 0 8 min
#129 545 1 10 0.1 0 11 0 500 0 35 min
#130 591 1 2 0.5 0 11 0 340 10 19 min
#131 1 1 1.0 0 10 0 40 85 2 min
#132 840 1 3 0.33 0 9 40 120 90 16 min
#133 1 2 0.5 0 8 20 0 0 14 min
#134 1025 0 6 0.0 1 1,386 480 1,020 376 79 min
#135 910 0 3 0.0 0 246 260 560 120 53 min
#136 489 0 3 0.0 0 11 0 240 110 26 min
#137 0 2 0.0 0 5 0 80 0 7 min
#138 517 0 6 0.0 1 5 0 860 40 56 min
#139 0 3 0.0 0 4 60 140 50 15 min
#140 0 1 0.0 0 3 0 180 0 23 min
#141 0 2 0.0 0 3 0 40 5 8 min
#142 0 1 0.0 0 2 0 300 0 19 min
#143 0 0 0.0 0 2 0 40 0 3 min
#144 474 0 8 0.0 0 1 240 220 0 31 min
#145 0 2 0.0 0 1 40 140 130 10 min
#146 630 0 6 0.0 0 1 0 280 5 18 min
#147 0 0 0.0 0 0 0 0 0 23 min
#148 0 0 0.0 0 0 0 20 75 4 min
#149 535 0 7 0.0 0 0 0 200 0 15 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 2 0.0 0 0 0 20 0 2 min
#155 0 0 0.0 0 0 0 0 0 1 min
#156 0 0 0.0 0 0 0 0 0 1 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 0 0.0 0 0 20 20 0 2 min
#159 0 0 0.0 0 0 40 0 0 4 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 0 0 0 20 20 3 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 1 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 5 0.0 0 0 0 100 0 9 min
#169 0 0 0.0 0 0 0 0 0 1 min
#170 0 0 0.0 0 0 0 0 0 1 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 0 min
#175 0 0 0.0 0 0 0 0 0 0 min
#176 0 0 0.0 0 0 0 0 0 0 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 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 1 0.0 0 0 0 0 0 4 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 9 min
#185 0 2 0.0 0 0 0 0 0 2 min