elalamein_offensive_ger

El Alamein Offensive Day DAK attack

06.05.2026 03:32 | Glow's Battlegrounds :: US West

Result

5:0

Axis wins

Players

139

Total Kills

1,122

Allied Kills

493

Axis Kills

629

Match Duration

39 min

Kills/Min

29.0

High Match ELO

Allies 1023.0 (all: 797.0)
Ø Match 1255.0
Axis 1487.0 (all: 911.0)
Highly imbalanced

Player Statistics (139)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1571 52 12 4.33 0 619 520 40 95 34 min
#2 2358 46 19 2.42 0 555 460 80 450 34 min
#3 2031 42 17 2.47 5 522 380 100 160 34 min
#4 839 35 4 8.75 0 413 420 220 45 34 min
#5 2011 32 27 1.19 0 408 440 60 45 34 min
#6 1049 31 16 1.94 0 332 20 560 155 34 min
#7 821 30 3 10.0 0 1,094 280 380 100 37 min
#8 1016 29 8 3.62 0 314 480 120 90 34 min
#9 1079 26 19 1.37 1 394 0 480 20 34 min
#10 1003 25 10 2.5 0 219 0 540 295 33 min
#11 1038 24 16 1.5 0 364 140 400 235 34 min
#12 606 22 3 7.33 0 393 40 360 75 23 min
#13 989 22 13 1.69 0 226 360 200 0 34 min
#14 732 20 7 2.86 0 287 320 280 75 34 min
#15 18 3 6.0 0 173 0 160 75 8 min
#16 915 18 16 1.12 0 167 40 420 95 34 min
#17 635 17 4 4.25 1 327 0 640 95 34 min
#18 1373 17 13 1.31 0 290 440 100 10 36 min
#19 959 17 23 0.74 0 186 20 480 375 35 min
#20 972 17 16 1.06 0 181 0 420 10 37 min
#21 1140 16 7 2.29 1 235 480 140 125 34 min
#22 684 16 5 3.2 0 181 200 420 5 34 min
#23 926 16 2 8.0 0 156 480 0 10 27 min
#24 1068 15 5 3.0 0 200 60 400 155 35 min
#25 896 15 14 1.07 1 155 260 40 0 23 min
#26 1179 14 3 4.67 0 338 500 180 2,149 34 min
#27 1062 14 11 1.27 0 188 320 300 20 34 min
#28 1020 14 12 1.17 0 187 0 400 125 28 min
#29 653 13 5 2.6 0 498 100 560 25 34 min
#30 991 13 13 1.0 0 385 380 140 15 34 min
#31 924 13 16 0.81 0 284 400 120 0 34 min
#32 795 13 2 6.5 2 245 320 380 30 34 min
#33 916 13 10 1.3 0 175 20 520 15 34 min
#34 886 13 18 0.72 1 163 0 500 567 34 min
#35 901 13 19 0.68 0 151 0 560 463 34 min
#36 1058 12 12 1.0 0 141 400 180 5 34 min
#37 729 12 13 0.92 0 118 0 300 145 24 min
#38 755 10 12 0.83 0 409 440 160 105 34 min
#39 771 10 13 0.77 0 143 440 140 561 34 min
#40 823 10 13 0.77 0 103 380 180 155 34 min
#41 9 9 1.0 0 195 0 280 0 18 min
#42 822 9 6 1.5 2 127 260 360 210 34 min
#43 9 8 1.12 0 124 0 240 0 17 min
#44 705 9 12 0.75 0 97 480 120 0 34 min
#45 832 9 4 2.25 1 87 0 640 2,514 34 min
#46 883 8 10 0.8 0 360 360 100 25 31 min
#47 628 8 12 0.67 0 235 440 100 90 34 min
#48 822 8 16 0.5 0 122 340 200 325 34 min
#49 725 8 11 0.73 0 121 400 180 332 34 min
#50 779 8 8 1.0 0 113 0 500 35 34 min
#51 704 8 26 0.31 0 112 20 500 15 34 min
#52 8 9 0.89 0 104 0 220 80 15 min
#53 8 9 0.89 0 79 0 120 0 11 min
#54 8 11 0.73 0 65 0 180 18 17 min
#55 897 7 3 2.33 0 222 640 0 270 34 min
#56 734 7 15 0.47 0 127 0 360 694 28 min
#57 752 7 10 0.7 0 75 180 180 840 34 min
#58 579 7 3 2.33 0 71 180 240 560 23 min
#59 752 6 5 1.2 0 68 480 120 826 34 min
#60 933 6 13 0.46 1 61 0 540 1,212 34 min
#61 807 5 5 1.0 0 362 360 280 180 34 min
#62 915 5 7 0.71 1 194 140 480 15 34 min
#63 644 5 7 0.71 0 184 260 300 1,110 34 min
#64 5 9 0.56 0 120 0 200 15 17 min
#65 982 5 10 0.5 0 98 0 600 2,463 34 min
#66 854 5 11 0.45 0 65 300 180 340 34 min
#67 5 7 0.71 0 54 0 160 0 19 min
#68 658 5 15 0.33 0 48 420 60 5 34 min
#69 5 2 2.5 0 40 100 60 0 9 min
#70 5 2 2.5 0 38 60 40 5 8 min
#71 842 4 3 1.33 0 1,043 300 380 125 34 min
#72 1019 4 12 0.33 0 578 500 80 100 34 min
#73 867 4 4 1.0 0 282 0 620 375 34 min
#74 582 4 20 0.2 0 95 320 160 0 34 min
#75 728 4 13 0.31 0 90 260 340 80 36 min
#76 701 4 15 0.27 1 88 0 500 407 37 min
#77 725 4 9 0.44 0 68 0 300 340 22 min
#78 701 4 18 0.22 0 67 40 460 330 33 min
#79 4 5 0.8 0 45 0 140 150 10 min
#80 727 4 5 0.8 0 44 0 300 311 24 min
#81 4 9 0.44 0 38 0 120 100 10 min
#82 478 4 6 0.67 0 33 60 400 15 27 min
#83 742 3 7 0.43 0 139 420 200 330 34 min
#84 570 3 20 0.15 0 51 0 420 235 34 min
#85 717 3 6 0.5 0 41 340 260 315 34 min
#86 547 3 20 0.15 0 38 20 440 130 34 min
#87 640 3 20 0.15 0 38 0 280 388 26 min
#88 3 3 1.0 0 38 0 120 75 9 min
#89 642 3 13 0.23 0 35 480 120 245 34 min
#90 811 3 17 0.18 0 34 380 80 75 34 min
#91 762 3 3 1.0 0 33 220 360 400 37 min
#92 616 3 5 0.6 0 30 160 460 345 34 min
#93 3 5 0.6 0 26 0 120 10 8 min
#94 785 3 10 0.3 0 24 0 540 1,691 34 min
#95 3 6 0.5 0 15 0 100 0 11 min
#96 620 2 7 0.29 1 327 140 260 145 26 min
#97 692 2 5 0.4 0 229 140 440 10 33 min
#98 2 3 0.67 0 50 140 40 10 10 min
#99 2 0 2.0 0 39 160 40 50 11 min
#100 683 2 9 0.22 0 22 80 200 50 25 min
#101 550 2 3 0.67 0 22 300 220 5 28 min
#102 2 3 0.67 0 20 0 100 50 14 min
#103 2 6 0.33 0 20 0 140 0 12 min
#104 510 1 15 0.07 0 193 120 420 110 35 min
#105 764 1 7 0.14 0 38 420 120 641 31 min
#106 731 1 13 0.08 0 20 0 300 70 25 min
#107 1 11 0.09 0 17 20 180 75 15 min
#108 1 6 0.17 0 10 0 80 25 14 min
#109 1 2 0.5 0 10 0 40 0 6 min
#110 593 1 5 0.2 0 6 160 180 0 21 min
#111 607 0 2 0.0 0 359 40 440 60 26 min
#112 620 0 2 0.0 1 359 40 440 55 26 min
#113 903 0 5 0.0 0 67 0 460 1,341 27 min
#114 0 1 0.0 0 14 40 140 5 16 min
#115 0 2 0.0 0 12 40 80 75 11 min
#116 0 4 0.0 0 6 0 100 10 8 min
#117 0 2 0.0 0 4 0 60 10 7 min
#118 0 4 0.0 0 4 0 120 5 16 min
#119 613 0 11 0.0 0 3 260 280 275 34 min
#120 631 0 6 0.0 0 3 40 280 30 20 min
#121 0 4 0.0 0 2 0 80 0 8 min
#122 0 0 0.0 0 0 0 0 0 0 min
#123 0 0 0.0 0 0 0 0 0 2 min
#124 0 0 0.0 0 0 0 0 0 3 min
#125 0 0 0.0 0 0 0 0 0 0 min
#126 0 0 0.0 0 0 0 0 0 0 min
#127 0 0 0.0 0 0 0 0 0 0 min
#128 0 0 0.0 0 0 0 0 0 0 min
#129 0 0 0.0 0 0 0 0 0 0 min
#130 0 0 0.0 0 0 0 0 0 2 min
#131 0 0 0.0 0 0 0 0 0 0 min
#132 0 0 0.0 0 0 0 0 0 34 min
#133 0 0 0.0 0 0 0 0 0 0 min
#134 0 0 0.0 0 0 0 0 0 0 min
#135 0 0 0.0 0 0 0 0 0 8 min
#136 0 0 0.0 0 0 0 0 0 0 min
#137 0 0 0.0 0 0 0 0 0 34 min
#138 0 0 0.0 0 0 0 0 0 0 min
#139 0 1 0.0 0 0 0 60 0 3 min