elalamein_offensive_ger

El Alamein Offensive Day DAK attack

01.05.2026 19:06 | Glow's Battlegrounds :: US Central

Result

5:0

Axis wins

Players

179

Total Kills

2,142

Allied Kills

930

Axis Kills

1,212

Match Duration

75 min

Kills/Min

28.5

Normal Match ELO

Allies 1112.0 (all: 763.0)
Ø Match 1165.0
Axis 1218.0 (all: 843.0)
Imbalanced

Player Statistics (179)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1420 94 13 7.23 0 940 520 740 55 70 min
#2 1010 80 4 20.0 1 1,375 400 940 95 70 min
#3 791 70 3 23.33 1 1,465 480 820 135 72 min
#4 1083 58 32 1.81 0 631 40 1,020 50 71 min
#5 1612 56 21 2.67 0 889 560 620 90 70 min
#6 941 51 26 1.96 0 458 900 240 90 70 min
#7 1027 50 23 2.17 0 650 700 460 175 70 min
#8 1247 44 33 1.33 0 775 20 1,000 80 68 min
#9 1103 44 7 6.29 0 497 480 740 20 68 min
#10 1025 44 15 2.93 1 449 620 400 285 70 min
#11 1482 43 20 2.15 0 466 520 120 175 44 min
#12 968 39 17 2.29 0 400 20 920 40 60 min
#13 773 37 36 1.03 0 422 60 1,020 600 72 min
#14 935 36 23 1.57 0 465 0 840 180 60 min
#15 785 34 26 1.31 0 355 840 280 0 71 min
#16 637 33 4 8.25 0 1,145 400 660 50 58 min
#17 1019 33 31 1.06 0 344 720 200 80 68 min
#18 839 32 40 0.8 0 345 40 860 350 68 min
#19 938 32 9 3.56 2 300 0 1,020 390 60 min
#20 731 30 16 1.88 0 532 560 620 1,855 70 min
#21 1370 30 13 2.31 0 450 60 540 680 39 min
#22 1321 30 23 1.3 0 422 660 440 921 70 min
#23 792 30 25 1.2 0 284 720 340 290 70 min
#24 821 29 15 1.93 0 399 120 940 145 72 min
#25 1012 28 9 3.11 3 680 580 480 3,495 70 min
#26 778 28 27 1.04 1 444 540 220 10 53 min
#27 872 28 27 1.04 0 310 0 1,160 410 70 min
#28 1147 26 25 1.04 0 426 20 600 15 48 min
#29 795 25 35 0.71 0 543 760 240 390 72 min
#30 712 25 10 2.5 0 285 880 260 125 65 min
#31 1135 24 22 1.09 0 258 0 600 825 42 min
#32 898 24 17 1.41 0 239 0 1,180 0 70 min
#33 915 23 14 1.64 0 733 60 1,000 1,150 68 min
#34 594 22 7 3.14 1 424 200 1,020 5 70 min
#35 997 22 24 0.92 1 370 0 1,160 4,329 70 min
#36 596 22 12 1.83 0 238 0 1,220 480 72 min
#37 826 21 13 1.62 0 346 980 80 629 62 min
#38 917 20 26 0.77 0 525 840 240 1,595 73 min
#39 690 20 23 0.87 1 387 40 1,100 100 70 min
#40 1287 20 15 1.33 0 262 20 740 240 47 min
#41 871 19 19 1.0 0 192 0 660 541 43 min
#42 819 18 12 1.5 0 358 620 580 40 71 min
#43 658 18 20 0.9 0 327 0 1,180 95 73 min
#44 844 17 26 0.65 0 264 0 1,040 0 67 min
#45 773 17 11 1.55 0 263 0 400 100 28 min
#46 741 17 18 0.94 0 231 800 300 290 72 min
#47 832 17 17 1.0 0 197 360 320 115 53 min
#48 641 16 15 1.07 0 630 480 140 10 42 min
#49 500 16 28 0.57 2 153 0 840 35 71 min
#50 819 15 39 0.38 0 228 700 320 1,472 70 min
#51 686 15 13 1.15 0 205 460 460 70 58 min
#52 678 15 33 0.45 0 180 80 740 30 62 min
#53 608 15 30 0.5 1 137 60 820 145 67 min
#54 760 14 35 0.4 0 484 740 240 100 72 min
#55 983 14 15 0.93 0 282 0 440 490 31 min
#56 1182 14 8 1.75 0 267 340 160 30 29 min
#57 582 14 28 0.5 0 197 0 1,000 335 73 min
#58 750 14 13 1.08 0 141 0 420 150 29 min
#59 1040 13 4 3.25 1 1,475 500 800 305 70 min
#60 872 13 5 2.6 1 1,111 480 640 145 64 min
#61 710 13 29 0.45 0 263 660 280 95 73 min
#62 861 13 9 1.44 1 170 0 420 5 29 min
#63 676 13 24 0.54 0 169 20 1,100 15 70 min
#64 677 13 27 0.48 0 161 400 160 160 45 min
#65 827 12 8 1.5 0 659 60 1,180 1,040 72 min
#66 682 12 26 0.46 0 255 900 180 765 68 min
#67 530 12 24 0.5 0 202 520 160 85 60 min
#68 741 12 27 0.44 1 186 720 280 0 69 min
#69 846 11 14 0.79 0 208 60 240 5 23 min
#70 986 11 14 0.79 0 150 0 560 115 38 min
#71 768 10 24 0.42 0 150 760 300 10 70 min
#72 960 10 12 0.83 0 131 0 400 30 26 min
#73 710 10 13 0.77 0 113 340 140 10 31 min
#74 965 9 5 1.8 0 1,225 780 440 3,335 70 min
#75 613 9 6 1.5 2 339 0 680 687 41 min
#76 580 9 27 0.33 0 257 20 960 401 70 min
#77 564 9 17 0.53 0 142 0 520 175 40 min
#78 536 9 31 0.29 0 125 0 860 40 65 min
#79 663 8 35 0.23 0 249 0 940 750 66 min
#80 8 1 8.0 0 195 40 180 15 13 min
#81 797 8 10 0.8 0 160 40 360 790 30 min
#82 548 8 36 0.22 0 147 60 980 405 72 min
#83 763 8 17 0.47 0 131 380 160 700 41 min
#84 714 7 9 0.78 0 231 0 1,180 1,500 70 min
#85 714 7 12 0.58 0 228 20 340 155 24 min
#86 863 7 16 0.44 0 166 380 640 2,160 70 min
#87 626 7 10 0.7 0 97 500 480 265 58 min
#88 672 7 14 0.5 0 73 200 120 270 21 min
#89 7 1 7.0 1 73 0 160 0 10 min
#90 909 6 8 0.75 0 225 0 260 230 20 min
#91 695 6 31 0.19 0 103 20 920 480 72 min
#92 797 6 9 0.67 0 88 0 380 15 28 min
#93 406 6 12 0.5 0 72 20 640 65 52 min
#94 661 6 4 1.5 0 68 120 320 0 46 min
#95 708 6 27 0.22 1 50 440 340 630 56 min
#96 666 5 5 1.0 1 1,355 400 920 160 71 min
#97 654 5 19 0.26 0 65 420 180 25 45 min
#98 503 5 26 0.19 0 65 20 1,060 65 70 min
#99 931 4 4 1.0 0 1,325 420 940 365 70 min
#100 735 4 11 0.36 1 108 440 220 370 41 min
#101 496 4 18 0.22 0 52 0 340 185 25 min
#102 4 7 0.57 0 46 0 240 80 15 min
#103 547 4 16 0.25 0 45 0 400 75 33 min
#104 675 3 23 0.13 0 55 0 1,100 1,168 70 min
#105 758 3 20 0.15 0 41 360 200 255 42 min
#106 648 3 12 0.25 0 34 0 280 0 35 min
#107 487 3 6 0.5 1 33 20 220 0 21 min
#108 3 3 1.0 0 33 0 100 5 7 min
#109 734 2 6 0.33 0 317 60 460 75 30 min
#110 539 2 17 0.12 1 288 0 1,100 175 70 min
#111 816 2 11 0.18 0 131 0 460 480 31 min
#112 2 8 0.25 0 70 0 260 0 19 min
#113 493 2 17 0.12 1 49 0 900 330 60 min
#114 2 3 0.67 0 27 60 160 155 15 min
#115 678 2 26 0.08 0 25 80 400 25 52 min
#116 2 1 2.0 0 22 0 160 0 10 min
#117 702 2 5 0.4 0 21 120 20 150 20 min
#118 734 2 5 0.4 0 21 240 100 25 22 min
#119 750 2 3 0.67 0 18 240 220 10 26 min
#120 2 1 2.0 0 16 0 60 0 4 min
#121 923 1 3 0.33 0 1,404 480 820 275 71 min
#122 1 1 1.0 0 30 0 120 5 9 min
#123 1 3 0.33 0 19 0 140 0 9 min
#124 1 3 0.33 0 11 60 60 0 10 min
#125 1 2 0.5 0 9 20 140 0 11 min
#126 857 0 3 0.0 1 1,085 360 580 150 58 min
#127 0 0 0.0 0 172 820 440 165 70 min
#128 0 3 0.0 0 77 0 160 155 18 min
#129 536 0 19 0.0 0 27 0 360 0 26 min
#130 0 2 0.0 0 14 0 140 45 7 min
#131 0 3 0.0 0 13 0 100 0 5 min
#132 588 0 11 0.0 0 9 20 640 95 46 min
#133 0 1 0.0 0 7 0 40 0 3 min
#134 0 4 0.0 0 5 0 100 45 9 min
#135 0 7 0.0 0 4 80 180 825 17 min
#136 0 3 0.0 0 4 0 20 0 3 min
#137 0 1 0.0 0 1 0 20 0 1 min
#138 498 0 17 0.0 2 1 0 400 0 32 min
#139 0 0 0.0 0 0 0 0 0 0 min
#140 0 0 0.0 0 0 0 0 0 0 min
#141 0 1 0.0 0 0 20 0 10 2 min
#142 0 0 0.0 0 0 0 0 0 0 min
#143 0 0 0.0 0 0 0 0 0 0 min
#144 0 0 0.0 0 0 0 0 0 1 min
#145 0 1 0.0 0 0 0 80 0 6 min
#146 0 2 0.0 0 0 0 20 0 3 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 4 0.0 0 0 0 120 0 10 min
#149 0 2 0.0 0 0 0 40 75 4 min
#150 0 2 0.0 0 0 20 40 0 6 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 0 0 1 min
#153 0 0 0.0 0 0 0 0 0 0 min
#154 0 0 0.0 0 0 0 0 0 1 min
#155 0 5 0.0 0 0 0 120 0 12 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 0 0.0 0 0 0 0 0 10 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 9 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 0 0 2 min
#164 0 0 0.0 0 0 0 0 0 8 min
#165 0 0 0.0 0 0 0 0 0 8 min
#166 0 0 0.0 0 0 0 0 0 1 min
#167 0 0 0.0 0 0 0 0 0 7 min
#168 0 2 0.0 0 0 0 20 10 4 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 0 0 0 8 min
#171 0 0 0.0 0 0 0 0 0 1 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 3 0.0 0 0 80 100 68 12 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 0 0 14 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 0 0 8 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 2 0.0 0 0 20 240 5 15 min