elalamein_offensive_ger

El Alamein Offensive Day DAK attack

28.05.2026 16:45 | Glow's Battlegrounds :: US Central

Result

3:2

Axis wins

Players

195

Total Kills

2,107

Allied Kills

1,066

Axis Kills

1,041

Match Duration

81 min

Kills/Min

26.1

Normal Match ELO

Allies 1139.0 (all: 764.0)
Ø Match 1134.0
Axis 1128.0 (all: 765.0)

Player Statistics (195)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1034 125 16 7.81 1 1,207 1,080 320 70 76 min
#2 824 62 3 20.67 2 1,328 480 960 5 76 min
#3 830 61 8 7.62 2 1,549 480 880 25 75 min
#4 1029 59 20 2.95 0 707 140 780 5 57 min
#5 894 58 20 2.9 0 690 480 420 100 58 min
#6 1455 52 24 2.17 1 1,519 160 680 140 62 min
#7 1097 52 21 2.48 0 758 380 780 135 78 min
#8 785 48 6 8.0 6 370 0 1,480 135 76 min
#9 1108 42 28 1.5 0 501 360 900 90 76 min
#10 1040 36 5 7.2 0 1,192 700 760 290 76 min
#11 900 31 34 0.91 0 800 340 780 365 75 min
#12 985 30 14 2.14 0 552 640 720 290 76 min
#13 1339 30 15 2.0 0 505 320 300 25 39 min
#14 1186 29 11 2.64 0 965 440 980 568 76 min
#15 691 29 17 1.71 0 288 400 700 155 66 min
#16 883 28 27 1.04 0 986 840 320 155 69 min
#17 1155 28 30 0.93 0 810 1,080 180 1,090 76 min
#18 689 28 7 4.0 0 784 0 1,420 190 79 min
#19 894 28 30 0.93 0 485 0 1,220 972 79 min
#20 888 28 19 1.47 0 347 0 1,040 180 59 min
#21 823 26 20 1.3 0 440 100 1,100 175 76 min
#22 750 25 12 2.08 0 487 700 140 50 53 min
#23 904 25 27 0.93 0 375 680 420 15 72 min
#24 1285 24 13 1.85 0 565 600 0 5 39 min
#25 1098 24 37 0.65 0 506 760 360 80 75 min
#26 927 24 26 0.92 2 477 100 1,140 180 79 min
#27 691 23 20 1.15 0 824 1,060 260 5 76 min
#28 805 23 43 0.53 0 507 20 1,040 870 76 min
#29 708 22 19 1.16 1 435 260 920 115 73 min
#30 1026 21 10 2.1 1 512 0 1,440 3,885 76 min
#31 620 21 10 2.1 3 298 0 1,400 45 76 min
#32 997 21 17 1.24 0 274 100 560 350 41 min
#33 676 21 20 1.05 1 232 100 1,080 110 76 min
#34 825 21 2 10.5 1 198 200 200 45 24 min
#35 1427 19 29 0.66 1 466 1,020 220 1,246 76 min
#36 768 19 27 0.7 0 343 0 1,220 2,271 78 min
#37 850 19 37 0.51 0 253 680 400 997 76 min
#38 794 19 28 0.68 0 237 40 1,100 3,075 76 min
#39 789 19 21 0.9 0 237 140 560 207 51 min
#40 721 19 24 0.79 0 154 920 340 40 76 min
#41 1009 18 8 2.25 3 468 520 900 5,783 76 min
#42 18 4 4.5 0 166 0 220 5 13 min
#43 895 18 10 1.8 0 160 380 280 25 40 min
#44 827 17 34 0.5 0 651 820 260 615 76 min
#45 697 17 20 0.85 0 440 0 1,120 742 76 min
#46 513 17 13 1.31 0 359 460 1,140 185 76 min
#47 659 17 27 0.63 0 302 20 880 5 66 min
#48 614 17 24 0.71 0 238 0 1,180 80 76 min
#49 725 17 12 1.42 0 191 520 40 100 40 min
#50 767 16 22 0.73 1 264 20 880 270 58 min
#51 581 16 18 0.89 0 173 520 640 2,545 79 min
#52 746 15 8 1.88 2 511 380 600 70 54 min
#53 1220 15 10 1.5 0 236 280 180 25 31 min
#54 903 15 12 1.25 0 203 160 540 85 43 min
#55 971 14 14 1.0 0 215 360 520 1,595 76 min
#56 621 14 11 1.27 0 185 320 520 15 49 min
#57 460 14 20 0.7 1 155 700 520 646 76 min
#58 812 14 15 0.93 0 147 180 380 60 41 min
#59 1214 13 5 2.6 0 483 580 700 170 73 min
#60 546 13 41 0.32 1 321 100 1,000 460 76 min
#61 1274 13 8 1.62 0 290 0 500 400 34 min
#62 921 13 13 1.0 0 167 120 320 10 30 min
#63 883 13 5 2.6 1 148 340 100 10 25 min
#64 733 12 8 1.5 0 333 380 240 60 39 min
#65 522 12 23 0.52 0 309 880 120 75 65 min
#66 603 12 21 0.57 2 196 640 500 5 76 min
#67 586 12 38 0.32 0 128 500 620 1,145 76 min
#68 730 12 27 0.44 0 117 700 60 95 51 min
#69 896 11 13 0.85 0 150 400 580 30 58 min
#70 986 11 6 1.83 0 132 20 300 15 22 min
#71 544 11 38 0.29 1 90 680 400 960 76 min
#72 895 10 20 0.5 1 173 440 300 606 50 min
#73 818 10 12 0.83 0 172 0 360 30 33 min
#74 10 4 2.5 0 155 0 260 10 16 min
#75 580 10 19 0.53 0 152 440 660 1,290 77 min
#76 554 10 36 0.28 0 116 560 480 1,205 74 min
#77 757 9 24 0.38 0 293 0 1,340 210 76 min
#78 613 9 13 0.69 0 128 120 340 75 35 min
#79 720 9 9 1.0 0 122 60 500 130 39 min
#80 822 9 3 3.0 0 120 0 580 262 33 min
#81 808 9 8 1.12 0 92 100 320 10 26 min
#82 677 8 17 0.47 0 324 860 220 762 68 min
#83 517 8 12 0.67 0 123 120 740 75 49 min
#84 509 8 28 0.29 0 116 60 1,060 175 73 min
#85 608 8 13 0.62 0 92 0 580 95 37 min
#86 601 8 14 0.57 0 90 60 560 400 39 min
#87 8 4 2.0 0 86 120 200 5 19 min
#88 719 8 15 0.53 5 79 0 540 195 33 min
#89 616 7 4 1.75 0 133 0 480 120 27 min
#90 1018 7 4 1.75 0 114 200 240 5 26 min
#91 531 7 20 0.35 0 111 520 360 2,237 72 min
#92 466 7 29 0.24 0 106 740 500 320 76 min
#93 7 5 1.4 0 90 20 140 0 13 min
#94 410 7 25 0.28 0 76 840 380 30 76 min
#95 555 7 10 0.7 0 65 0 340 0 21 min
#96 672 6 18 0.33 0 95 560 60 345 42 min
#97 553 6 10 0.6 0 93 20 640 80 41 min
#98 799 6 29 0.21 0 88 740 280 745 76 min
#99 6 6 1.0 0 63 60 180 10 19 min
#100 669 6 12 0.5 0 53 360 160 208 33 min
#101 6 6 1.0 0 51 0 220 0 15 min
#102 580 5 8 0.62 0 383 400 400 0 56 min
#103 772 5 10 0.5 6 108 240 240 225 32 min
#104 556 5 12 0.42 0 90 20 600 140 36 min
#105 531 5 14 0.36 0 69 0 540 15 41 min
#106 523 5 15 0.33 0 67 320 160 85 34 min
#107 420 5 17 0.29 0 55 20 760 185 49 min
#108 4 3 1.33 0 185 140 60 10 13 min
#109 732 4 24 0.17 0 80 80 760 80 54 min
#110 4 3 1.33 0 57 160 60 5 13 min
#111 4 5 0.8 0 57 160 120 0 17 min
#112 702 4 19 0.21 0 45 600 520 1,820 76 min
#113 754 4 4 1.0 0 35 0 340 155 21 min
#114 4 1 4.0 0 31 140 0 0 7 min
#115 666 3 6 0.5 0 1,444 400 800 170 66 min
#116 856 3 2 1.5 1 846 380 260 95 36 min
#117 3 7 0.43 0 29 80 20 0 15 min
#118 813 2 7 0.29 1 1,625 480 880 205 76 min
#119 457 2 11 0.18 0 38 500 280 55 45 min
#120 718 2 9 0.22 0 36 40 340 0 26 min
#121 500 2 12 0.17 0 36 0 400 0 30 min
#122 2 4 0.5 0 31 0 340 75 19 min
#123 460 2 11 0.18 0 24 60 320 5 32 min
#124 2 2 1.0 0 19 40 0 0 3 min
#125 2 4 0.5 0 16 20 40 100 10 min
#126 2 1 2.0 0 16 60 0 0 4 min
#127 599 2 9 0.22 0 14 280 40 10 24 min
#128 2 0 2.0 0 14 40 40 0 4 min
#129 706 1 3 0.33 0 344 0 1,480 2,957 76 min
#130 575 1 7 0.14 0 237 0 1,180 0 63 min
#131 600 1 5 0.2 0 116 140 660 70 22 min
#132 1 2 0.5 0 22 200 40 0 15 min
#133 1 4 0.25 0 21 20 120 0 11 min
#134 1 5 0.2 0 17 100 0 5 16 min
#135 290 1 9 0.11 0 17 240 280 150 35 min
#136 611 1 8 0.12 0 14 0 540 250 35 min
#137 398 1 9 0.11 0 14 0 500 110 35 min
#138 802 1 4 0.25 0 14 180 460 650 41 min
#139 1 3 0.33 0 11 20 180 0 11 min
#140 1 5 0.2 0 11 60 20 0 15 min
#141 1 2 0.5 0 9 20 0 0 4 min
#142 1 1 1.0 0 8 0 80 5 5 min
#143 1 7 0.14 0 7 120 160 330 20 min
#144 1 0 1.0 0 7 20 0 0 1 min
#145 710 0 9 0.0 0 256 0 1,460 150 76 min
#146 593 0 12 0.0 0 29 160 240 80 27 min
#147 0 0 0.0 0 23 20 100 85 0 min
#148 0 6 0.0 0 18 60 80 20 12 min
#149 621 0 8 0.0 0 17 120 300 15 28 min
#150 0 4 0.0 0 12 0 100 0 6 min
#151 0 0 0.0 0 7 0 60 0 3 min
#152 0 4 0.0 0 5 0 200 0 11 min
#153 0 0 0.0 0 5 0 0 0 0 min
#154 0 0 0.0 0 4 20 20 0 0 min
#155 0 0 0.0 0 2 20 0 0 0 min
#156 0 2 0.0 0 2 0 60 0 15 min
#157 0 1 0.0 0 2 0 20 0 4 min
#158 0 1 0.0 0 1 60 20 0 6 min
#159 0 3 0.0 0 1 60 0 15 6 min
#160 0 1 0.0 0 0 0 40 25 2 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 2 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 3 min
#165 0 3 0.0 1 0 120 60 30 11 min
#166 0 0 0.0 0 0 0 20 0 7 min
#167 0 0 0.0 0 0 60 300 75 23 min
#168 0 0 0.0 0 0 0 0 0 1 min
#169 0 0 0.0 0 0 0 0 0 1 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 0 0 13 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 1 0.0 0 0 0 0 0 2 min
#176 0 1 0.0 1 0 20 40 32 3 min
#177 0 0 0.0 0 0 0 0 0 16 min
#178 0 0 0.0 0 0 0 0 0 2 min
#179 0 1 0.0 0 0 20 60 90 5 min
#180 0 0 0.0 0 0 0 200 0 15 min
#181 0 0 0.0 0 0 20 140 0 0 min
#182 0 0 0.0 0 0 0 0 0 1 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 1 min
#185 0 2 0.0 0 0 0 100 0 11 min
#186 0 0 0.0 0 0 0 100 190 13 min
#187 0 0 0.0 0 0 20 0 0 11 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 0 0.0 0 0 0 0 0 7 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 0 0.0 0 0 0 60 0 2 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 0 0.0 0 0 0 20 0 0 min
#195 0 0 0.0 0 0 0 0 0 0 min