elalamein_offensive_ger

El Alamein Offensive Day DAK attack

21.06.2026 01:58 | 3LA - New Players Welcome - US East

Result

5:0

Axis wins

Players

176

Total Kills

2,355

Allied Kills

1,076

Axis Kills

1,279

Match Duration

74 min

Kills/Min

32.0

Normal Match ELO

Allies 1036.0 (all: 757.0)
Ø Match 1093.0
Axis 1149.0 (all: 788.0)
Imbalanced

Player Statistics (176)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 648 99 4 24.75 2 1,595 840 520 40 69 min
#2 926 86 2 43.0 3 1,281 320 940 35 69 min
#3 1603 83 26 3.19 0 802 200 1,000 195 69 min
#4 1088 81 2 40.5 2 820 900 500 4,048 69 min
#5 1354 71 8 8.88 0 938 600 480 2,090 69 min
#6 961 71 5 14.2 8 707 0 1,320 1,010 69 min
#7 977 68 9 7.56 0 790 760 340 2,220 69 min
#8 1132 66 36 1.83 0 696 720 300 261 69 min
#9 1036 44 23 1.91 0 647 160 620 25 53 min
#10 905 41 33 1.24 2 317 660 300 105 69 min
#11 1116 40 36 1.11 0 447 900 120 150 69 min
#12 987 38 22 1.73 0 628 220 720 5 59 min
#13 808 37 21 1.76 1 550 0 1,160 110 69 min
#14 878 35 28 1.25 0 414 40 760 80 64 min
#15 657 35 27 1.3 0 342 760 340 185 69 min
#16 862 34 17 2.0 5 549 0 1,200 1,841 69 min
#17 830 32 14 2.29 0 348 740 120 165 53 min
#18 900 29 36 0.81 1 339 700 220 75 69 min
#19 1058 28 32 0.88 0 336 20 1,140 1,989 69 min
#20 696 28 4 7.0 0 266 900 400 70 69 min
#21 777 26 10 2.6 3 473 100 1,180 0 69 min
#22 704 26 19 1.37 0 271 20 1,180 0 72 min
#23 650 26 32 0.81 0 265 700 400 0 70 min
#24 717 25 29 0.86 0 314 0 1,060 883 69 min
#25 1032 25 14 1.79 0 233 540 120 475 45 min
#26 918 25 15 1.67 0 217 100 720 150 52 min
#27 903 24 28 0.86 0 290 40 1,060 1,535 69 min
#28 1076 24 31 0.77 1 247 820 140 900 70 min
#29 818 23 25 0.92 3 454 140 1,320 2,691 69 min
#30 878 22 27 0.81 0 423 60 460 40 44 min
#31 1012 22 30 0.73 1 404 880 220 864 69 min
#32 606 22 15 1.47 0 214 840 400 245 72 min
#33 956 21 28 0.75 1 360 40 740 230 50 min
#34 1212 21 12 1.75 0 294 180 220 0 27 min
#35 561 21 27 0.78 1 244 120 1,000 525 69 min
#36 685 21 38 0.55 0 191 40 840 45 64 min
#37 879 20 29 0.69 0 409 40 820 150 62 min
#38 563 20 41 0.49 1 302 0 920 165 68 min
#39 505 20 10 2.0 0 202 400 460 75 52 min
#40 718 19 26 0.73 1 348 120 780 245 57 min
#41 942 18 20 0.9 0 612 20 480 584 37 min
#42 794 18 13 1.38 0 249 480 200 235 43 min
#43 744 18 8 2.25 0 234 0 440 5 30 min
#44 621 18 28 0.64 0 232 720 300 740 69 min
#45 704 17 20 0.85 0 365 420 340 205 55 min
#46 678 17 25 0.68 0 281 700 300 155 64 min
#47 710 17 34 0.5 0 263 80 860 230 69 min
#48 887 17 34 0.5 0 212 140 900 600 68 min
#49 1030 17 45 0.38 0 184 600 300 1,200 69 min
#50 448 17 24 0.71 0 167 540 320 180 69 min
#51 890 16 15 1.07 0 313 0 380 25 27 min
#52 1311 16 5 3.2 1 267 240 320 0 35 min
#53 759 16 27 0.59 0 177 620 260 245 62 min
#54 653 16 17 0.94 1 158 0 380 80 28 min
#55 684 15 20 0.75 0 333 40 760 85 54 min
#56 1087 15 20 0.75 0 213 440 80 150 40 min
#57 906 15 14 1.07 2 184 0 460 205 40 min
#58 757 15 20 0.75 0 146 40 940 265 69 min
#59 838 14 21 0.67 0 173 580 60 285 47 min
#60 626 13 21 0.62 0 286 0 1,100 465 72 min
#61 838 12 21 0.57 0 402 280 220 75 35 min
#62 798 12 26 0.46 0 314 20 660 300 56 min
#63 621 12 23 0.52 1 308 580 300 1,227 62 min
#64 796 12 10 1.2 0 182 380 160 105 41 min
#65 661 12 40 0.3 0 160 580 220 0 67 min
#66 764 12 18 0.67 0 159 340 200 648 39 min
#67 1059 12 23 0.52 0 131 620 40 295 47 min
#68 12 4 3.0 0 122 0 200 10 19 min
#69 562 12 14 0.86 0 95 40 820 5 52 min
#70 11 1 11.0 0 338 0 160 20 8 min
#71 787 11 9 1.22 0 174 540 120 170 42 min
#72 717 11 5 2.2 0 159 300 260 15 32 min
#73 764 11 20 0.55 0 130 20 620 630 47 min
#74 631 11 27 0.41 0 114 700 340 815 69 min
#75 490 11 16 0.69 0 78 400 120 1,215 39 min
#76 513 10 17 0.59 0 133 100 440 0 41 min
#77 875 10 18 0.56 0 130 0 500 180 34 min
#78 786 10 2 5.0 0 127 60 280 15 22 min
#79 889 10 31 0.32 0 110 80 1,040 2,655 69 min
#80 462 10 21 0.48 1 103 120 560 320 65 min
#81 844 10 30 0.33 0 94 720 240 2,580 69 min
#82 833 9 2 4.5 0 1,317 420 760 355 66 min
#83 670 9 16 0.56 1 166 620 100 380 48 min
#84 553 9 18 0.5 0 128 780 380 325 69 min
#85 768 9 8 1.12 0 116 0 400 100 22 min
#86 813 9 14 0.64 0 112 20 500 140 35 min
#87 828 9 9 1.0 0 95 580 220 81 48 min
#88 878 9 14 0.64 0 90 0 360 266 28 min
#89 617 9 12 0.75 0 80 360 160 545 33 min
#90 778 8 24 0.33 0 145 80 880 310 68 min
#91 584 8 10 0.8 0 91 440 80 150 32 min
#92 628 8 11 0.73 0 80 40 500 225 38 min
#93 509 8 36 0.22 0 74 20 980 2,557 66 min
#94 536 8 5 1.6 0 63 340 80 10 28 min
#95 8 2 4.0 2 54 180 20 0 17 min
#96 836 7 23 0.3 1 241 60 480 275 41 min
#97 600 7 15 0.47 0 80 0 340 25 30 min
#98 481 7 23 0.3 2 73 100 820 395 71 min
#99 512 6 21 0.29 0 522 0 1,140 330 69 min
#100 534 6 18 0.33 0 263 20 1,220 886 71 min
#101 567 6 16 0.38 0 161 320 80 1,240 31 min
#102 6 12 0.5 0 153 20 200 75 16 min
#103 638 6 3 2.0 0 90 200 300 95 29 min
#104 6 5 1.2 0 69 0 160 5 13 min
#105 490 6 2 3.0 0 63 760 620 220 69 min
#106 6 7 0.86 0 57 0 200 75 17 min
#107 667 5 4 1.25 2 1,517 840 540 220 69 min
#108 5 8 0.62 0 106 140 100 140 16 min
#109 582 5 8 0.62 0 102 960 260 333 70 min
#110 560 5 34 0.15 1 69 0 940 690 65 min
#111 5 6 0.83 0 60 0 180 75 13 min
#112 5 9 0.56 0 50 180 40 370 14 min
#113 5 3 1.67 0 46 40 80 40 7 min
#114 598 5 8 0.62 0 37 140 240 30 28 min
#115 4 19 0.21 0 98 320 120 403 0 min
#116 4 2 2.0 0 86 80 0 45 5 min
#117 545 4 24 0.17 0 49 420 420 2,070 67 min
#118 677 4 20 0.2 0 42 40 900 555 69 min
#119 480 4 9 0.44 0 36 0 180 0 23 min
#120 682 4 15 0.27 0 33 20 380 631 29 min
#121 3 3 1.0 0 41 20 60 0 6 min
#122 3 6 0.5 0 34 20 220 75 17 min
#123 551 3 16 0.19 0 34 0 520 150 36 min
#124 585 3 11 0.27 0 31 20 320 75 28 min
#125 3 3 1.0 0 28 0 200 75 12 min
#126 717 3 6 0.5 0 28 60 200 0 20 min
#127 3 7 0.43 0 27 140 60 75 17 min
#128 460 2 11 0.18 0 188 0 620 300 42 min
#129 731 2 12 0.17 0 127 300 220 75 26 min
#130 2 5 0.4 0 37 0 300 5 18 min
#131 655 2 7 0.29 1 31 140 260 0 37 min
#132 2 2 1.0 0 18 60 0 25 4 min
#133 2 3 0.67 0 16 0 160 0 15 min
#134 2 4 0.5 0 12 60 40 0 6 min
#135 1161 1 6 0.17 0 1,451 820 520 440 69 min
#136 729 1 11 0.09 0 293 80 1,140 50 69 min
#137 1 9 0.11 0 61 20 240 85 17 min
#138 632 1 8 0.12 2 58 120 300 0 32 min
#139 1 8 0.12 0 15 220 60 845 18 min
#140 1 2 0.5 0 14 40 20 0 4 min
#141 1 4 0.25 0 12 0 120 5 9 min
#142 844 1 3 0.33 0 10 0 660 1,620 39 min
#143 525 1 8 0.12 0 8 100 240 124 24 min
#144 0 1 0.0 0 408 40 520 357 32 min
#145 0 1 0.0 0 5 0 100 5 4 min
#146 444 0 4 0.0 0 3 100 120 30 20 min
#147 0 2 0.0 0 2 0 0 0 2 min
#148 0 2 0.0 0 1 240 40 608 18 min
#149 0 1 0.0 0 0 0 40 0 3 min
#150 0 0 0.0 0 0 0 0 0 1 min
#151 0 0 0.0 0 0 0 0 0 1 min
#152 0 0 0.0 0 0 0 0 0 0 min
#153 0 1 0.0 0 0 0 0 0 5 min
#154 0 1 0.0 0 0 20 20 75 2 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 0 0.0 0 0 0 0 0 3 min
#157 0 1 0.0 0 0 20 0 0 1 min
#158 0 2 0.0 0 0 0 40 155 3 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 3 0.0 0 0 0 20 0 6 min
#161 0 0 0.0 0 0 0 0 0 1 min
#162 0 2 0.0 0 0 0 40 0 7 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 0 0 0 0 0 1 min
#166 0 0 0.0 0 0 0 520 2,317 26 min
#167 0 0 0.0 0 0 0 0 25 1 min
#168 0 4 0.0 0 0 40 60 0 8 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 0 0 0 0 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 2 0.0 0 0 0 60 25 5 min
#174 0 0 0.0 0 0 0 0 0 69 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