elalamein_offensive_ger

El Alamein Offensive Day DAK attack

31.03.2026 23:03 | Glow's Battlegrounds :: US Central

Result

4:1

Axis wins

Players

189

Total Kills

2,264

Allied Kills

1,059

Axis Kills

1,205

Match Duration

85 min

Kills/Min

26.8

High Match ELO

Allies 1188.0 (all: 815.0)
Ø Match 1242.0
Axis 1297.0 (all: 788.0)
Imbalanced

Player Statistics (189)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1849 148 1 148.0 0 1,607 80 1,460 115 80 min
#2 2036 107 4 26.75 0 2,264 300 1,500 30 71 min
#3 1414 89 22 4.05 0 1,099 60 1,300 55 80 min
#4 660 68 6 11.33 2 1,884 400 1,040 25 80 min
#5 716 66 10 6.6 1 727 460 960 4,002 80 min
#6 1457 60 16 3.75 0 756 780 600 2,345 81 min
#7 639 59 3 19.67 1 1,318 200 580 85 49 min
#8 686 59 5 11.8 3 1,315 360 1,160 145 81 min
#9 854 50 31 1.61 0 641 520 720 40 81 min
#10 1018 44 21 2.1 1 607 320 1,080 280 80 min
#11 1108 43 41 1.05 0 1,107 240 900 125 81 min
#12 980 43 18 2.39 0 439 120 720 5 55 min
#13 1038 41 11 3.73 4 824 240 1,260 4,818 80 min
#14 917 41 18 2.28 0 444 100 960 123 72 min
#15 1616 39 33 1.18 4 410 560 380 869 68 min
#16 978 37 9 4.11 1 1,532 460 880 310 80 min
#17 1083 37 31 1.19 0 713 180 720 340 70 min
#18 1023 36 28 1.29 1 1,080 740 360 20 77 min
#19 920 35 39 0.9 0 342 740 400 325 81 min
#20 1242 35 23 1.52 0 322 440 360 595 57 min
#21 856 32 11 2.91 0 352 0 600 25 37 min
#22 1034 31 14 2.21 0 610 180 640 40 50 min
#23 929 30 5 6.0 1 1,103 80 1,380 70 80 min
#24 886 28 39 0.72 1 291 100 1,040 1,965 81 min
#25 938 27 8 3.38 0 330 340 820 175 71 min
#26 489 25 8 3.12 0 759 380 900 125 80 min
#27 699 25 36 0.69 0 389 180 1,060 30 81 min
#28 1091 25 13 1.92 1 249 0 1,120 1,605 80 min
#29 1094 24 3 8.0 0 289 400 140 10 33 min
#30 641 23 11 2.09 1 372 580 740 295 80 min
#31 861 23 29 0.79 0 297 60 1,160 355 83 min
#32 631 23 21 1.1 0 264 0 1,180 275 81 min
#33 1035 22 15 1.47 0 301 220 520 20 47 min
#34 763 22 27 0.81 0 279 140 760 628 63 min
#35 951 22 20 1.1 0 232 180 480 75 41 min
#36 880 21 6 3.5 0 1,193 820 620 2,540 81 min
#37 794 20 28 0.71 0 210 80 740 380 58 min
#38 1210 18 12 1.5 0 345 240 300 75 37 min
#39 769 17 35 0.49 0 451 580 580 715 81 min
#40 1051 17 14 1.21 0 325 40 960 3,285 57 min
#41 815 17 24 0.71 1 192 40 720 35 57 min
#42 616 16 14 1.14 0 226 200 1,180 105 81 min
#43 959 16 11 1.45 0 217 60 580 150 38 min
#44 792 15 28 0.54 0 139 160 360 245 41 min
#45 504 14 16 0.88 2 345 60 980 295 81 min
#46 836 13 9 1.44 0 422 140 740 15 47 min
#47 1019 13 14 0.93 2 187 120 640 752 49 min
#48 576 13 27 0.48 0 141 380 440 120 57 min
#49 669 12 2 6.0 0 183 0 400 5 23 min
#50 671 12 29 0.41 0 174 180 1,100 885 83 min
#51 654 12 19 0.63 0 170 40 780 255 55 min
#52 1024 12 20 0.6 0 164 60 480 180 40 min
#53 925 12 16 0.75 0 154 0 280 350 23 min
#54 689 12 29 0.41 2 128 0 720 715 54 min
#55 488 11 6 1.83 0 386 60 300 0 26 min
#56 732 11 26 0.42 0 231 600 600 3,757 80 min
#57 628 11 16 0.69 0 154 700 440 365 64 min
#58 1008 11 5 2.2 0 151 120 260 30 20 min
#59 11 1 11.0 0 115 40 240 0 14 min
#60 681 10 11 0.91 0 191 640 320 280 61 min
#61 776 10 39 0.26 0 180 620 520 35 80 min
#62 679 10 27 0.37 1 159 80 1,160 904 80 min
#63 899 10 6 1.67 0 109 220 80 170 18 min
#64 499 10 14 0.71 0 79 280 280 245 40 min
#65 1008 9 18 0.5 0 361 100 1,000 315 81 min
#66 854 9 12 0.75 0 210 0 800 260 55 min
#67 729 9 14 0.64 0 139 180 700 95 55 min
#68 1037 9 8 1.12 0 74 20 360 55 25 min
#69 721 8 6 1.33 0 1,247 320 1,120 240 80 min
#70 637 8 22 0.36 0 142 440 160 898 48 min
#71 847 8 7 1.14 0 103 0 340 10 26 min
#72 638 8 17 0.47 0 102 200 400 75 42 min
#73 8 1 8.0 0 96 80 40 0 10 min
#74 915 8 1 8.0 0 59 40 140 0 27 min
#75 663 7 4 1.75 1 1,864 400 1,060 120 80 min
#76 649 7 41 0.17 0 264 660 480 840 81 min
#77 585 7 25 0.28 5 241 20 940 193 67 min
#78 444 7 19 0.37 0 233 60 900 60 60 min
#79 903 7 24 0.29 0 195 100 740 400 55 min
#80 953 7 11 0.64 0 167 300 220 125 32 min
#81 726 7 8 0.88 0 125 40 300 50 23 min
#82 580 7 10 0.7 0 122 0 420 210 38 min
#83 828 7 19 0.37 0 64 140 320 310 39 min
#84 737 7 18 0.39 2 63 580 400 478 65 min
#85 745 7 4 1.75 0 56 60 280 85 24 min
#86 7 1 7.0 0 51 0 120 150 9 min
#87 676 6 32 0.19 0 648 920 280 295 81 min
#88 964 6 26 0.23 1 231 460 420 786 60 min
#89 822 6 18 0.33 0 113 220 440 160 53 min
#90 631 6 18 0.33 0 95 100 740 100 56 min
#91 1269 6 13 0.46 1 85 0 480 268 38 min
#92 743 6 33 0.18 0 83 480 720 45 82 min
#93 975 6 8 0.75 0 76 0 220 65 15 min
#94 554 6 17 0.35 2 58 520 380 405 60 min
#95 1184 5 6 0.83 0 360 60 680 135 49 min
#96 653 5 27 0.19 0 215 660 180 300 61 min
#97 685 5 7 0.71 0 113 60 380 155 25 min
#98 697 5 18 0.28 0 82 20 560 281 39 min
#99 604 5 14 0.36 0 65 80 500 245 43 min
#100 916 4 8 0.5 0 1,250 540 20 435 35 min
#101 936 4 19 0.21 0 390 240 300 220 40 min
#102 764 4 13 0.31 0 114 580 860 70 80 min
#103 616 4 18 0.22 1 87 260 60 150 29 min
#104 681 4 17 0.24 0 67 80 500 105 41 min
#105 792 4 5 0.8 0 65 0 340 175 20 min
#106 539 4 26 0.15 0 56 600 580 2,180 80 min
#107 646 4 29 0.14 0 46 480 740 130 84 min
#108 759 4 15 0.27 0 43 20 340 75 25 min
#109 646 4 2 2.0 0 43 140 220 0 23 min
#110 631 4 7 0.57 0 37 340 200 10 35 min
#111 552 3 21 0.14 0 460 240 1,000 2,141 80 min
#112 752 3 4 0.75 0 112 140 140 5 20 min
#113 912 3 4 0.75 0 84 160 40 100 16 min
#114 479 3 23 0.13 2 76 380 920 2,122 81 min
#115 3 2 1.5 2 71 40 220 491 14 min
#116 706 3 11 0.27 0 53 0 320 240 23 min
#117 752 3 24 0.12 0 50 20 600 160 46 min
#118 876 3 4 0.75 0 47 0 360 615 24 min
#119 876 3 6 0.5 0 35 80 160 105 21 min
#120 719 3 6 0.5 0 23 160 220 90 22 min
#121 761 3 3 1.0 0 22 0 260 0 19 min
#122 915 2 14 0.14 0 86 160 760 445 54 min
#123 414 2 39 0.05 0 69 600 560 150 81 min
#124 835 2 7 0.29 0 47 180 180 160 26 min
#125 748 2 10 0.2 0 39 20 400 185 26 min
#126 725 2 25 0.08 0 32 140 620 75 56 min
#127 706 2 3 0.67 0 31 60 200 0 15 min
#128 509 2 5 0.4 0 31 100 260 10 24 min
#129 748 2 4 0.5 0 29 0 280 10 18 min
#130 668 2 7 0.29 0 29 140 200 0 20 min
#131 551 2 10 0.2 0 26 140 400 340 32 min
#132 1029 2 3 0.67 0 23 0 540 48 30 min
#133 2 3 0.67 0 21 0 40 0 5 min
#134 605 2 14 0.14 1 17 0 760 335 47 min
#135 612 1 5 0.2 0 1,235 360 1,140 100 80 min
#136 524 1 5 0.2 1 759 460 480 160 55 min
#137 569 1 3 0.33 0 572 60 500 60 34 min
#138 1 3 0.33 0 55 40 0 0 5 min
#139 567 1 10 0.1 0 22 0 400 110 29 min
#140 1 1 1.0 0 19 40 40 0 8 min
#141 518 1 6 0.17 1 15 0 460 150 27 min
#142 558 1 23 0.04 2 15 0 580 0 58 min
#143 1 2 0.5 0 15 80 140 273 12 min
#144 886 1 6 0.17 0 14 0 220 102 23 min
#145 1 0 1.0 0 9 0 20 75 2 min
#146 1 3 0.33 0 8 20 140 75 13 min
#147 1 3 0.33 0 7 0 140 150 11 min
#148 505 1 15 0.07 0 5 180 600 155 51 min
#149 721 0 3 0.0 0 1,744 360 1,120 360 80 min
#150 671 0 5 0.0 0 984 80 1,300 180 80 min
#151 707 0 11 0.0 0 19 100 180 450 23 min
#152 642 0 24 0.0 0 17 460 400 15 67 min
#153 527 0 8 0.0 0 9 480 180 95 42 min
#154 0 2 0.0 0 6 60 160 75 12 min
#155 795 0 7 0.0 0 5 0 200 0 17 min
#156 0 9 0.0 0 5 20 220 60 15 min
#157 508 0 10 0.0 0 4 0 180 25 15 min
#158 0 4 0.0 0 3 0 160 0 13 min
#159 0 1 0.0 0 3 40 120 80 9 min
#160 0 2 0.0 0 2 0 40 0 5 min
#161 841 0 2 0.0 0 2 0 80 25 16 min
#162 0 2 0.0 0 1 0 200 0 12 min
#163 0 3 0.0 0 1 0 100 0 8 min
#164 663 0 3 0.0 0 1 0 260 75 19 min
#165 0 1 0.0 0 1 0 160 0 10 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 0 0 1 min
#169 0 1 0.0 0 0 0 40 0 5 min
#170 0 0 0.0 0 0 0 0 0 0 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 4 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 5 min
#178 0 3 0.0 0 0 0 120 0 8 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 0 0.0 0 0 0 0 0 0 min
#181 0 0 0.0 0 0 0 0 0 7 min
#182 0 1 0.0 0 0 0 40 0 2 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 4 0.0 0 0 60 80 180 9 min
#186 0 1 0.0 0 0 0 20 0 3 min
#187 0 0 0.0 0 0 0 0 0 0 min
#188 0 0 0.0 0 0 0 0 0 3 min
#189 0 0 0.0 0 0 0 0 0 0 min