elalamein_offensive_ger

El Alamein Offensive Day DAK attack

02.09.2025 05:50 | [Merc] US West | Offensive

Result

4:1

Axis wins

Players

184

Total Kills

3,473

Allied Kills

1,692

Axis Kills

1,781

Match Duration

103 min

Kills/Min

33.6

High Match ELO

Allies 1245.0 (all: 805.0)
Ø Match 1305.0
Axis 1366.0 (all: 849.0)
Imbalanced

Player Statistics (184)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 2471 153 13 11.77 0 1,666 660 600 5 72 min
#2 1273 126 26 4.85 0 1,392 1,300 440 205 99 min
#3 1155 87 27 3.22 0 918 1,180 480 92 99 min
#4 1454 86 51 1.69 0 1,112 1,100 340 2,003 99 min
#5 943 80 14 5.71 6 1,458 320 1,540 250 99 min
#6 2036 79 63 1.25 0 1,507 0 1,480 1,382 98 min
#7 1211 76 63 1.21 6 1,377 40 1,380 20 99 min
#8 1328 75 41 1.83 2 797 160 1,440 50 102 min
#9 1430 71 58 1.22 0 1,339 200 1,200 275 99 min
#10 1086 71 9 7.89 0 954 540 620 70 73 min
#11 1139 71 21 3.38 0 666 860 400 30 94 min
#12 684 63 22 2.86 4 1,011 660 1,100 60 99 min
#13 954 58 36 1.61 1 1,032 1,280 140 125 88 min
#14 1137 58 51 1.14 0 882 40 1,440 110 99 min
#15 1082 56 10 5.6 1 2,626 940 880 1,170 99 min
#16 1403 56 49 1.14 2 952 920 320 160 85 min
#17 966 56 13 4.31 1 716 580 1,080 30 99 min
#18 1115 56 61 0.92 1 685 120 1,260 290 99 min
#19 754 48 11 4.36 0 612 680 1,200 190 99 min
#20 756 48 35 1.37 0 605 160 1,480 410 101 min
#21 994 46 10 4.6 1 2,572 880 900 255 99 min
#22 1097 46 31 1.48 1 518 60 1,520 235 99 min
#23 924 44 48 0.92 1 713 820 580 1,257 99 min
#24 867 43 7 6.14 0 2,559 840 1,000 110 99 min
#25 934 43 49 0.88 0 678 140 1,380 205 99 min
#26 877 43 43 1.0 0 608 20 1,600 70 99 min
#27 895 40 24 1.67 0 701 60 880 30 65 min
#28 1024 39 36 1.08 0 949 940 140 150 74 min
#29 878 38 32 1.19 0 512 20 1,560 245 97 min
#30 1009 36 38 0.95 1 1,316 1,340 180 351 99 min
#31 642 36 12 3.0 4 862 0 1,440 123 98 min
#32 769 35 34 1.03 1 367 100 1,380 370 99 min
#33 873 34 22 1.55 0 527 20 980 140 76 min
#34 1044 33 46 0.72 1 564 960 580 1,348 102 min
#35 970 32 43 0.74 0 425 980 460 5,493 99 min
#36 785 31 41 0.76 0 440 880 580 1,055 101 min
#37 1095 31 10 3.1 1 352 40 560 15 35 min
#38 1028 30 20 1.5 0 475 40 1,140 845 67 min
#39 1066 29 23 1.26 0 336 20 540 95 40 min
#40 707 29 32 0.91 0 319 20 940 105 66 min
#41 785 28 30 0.93 5 811 160 920 25 70 min
#42 597 28 50 0.56 0 480 720 460 310 84 min
#43 468 28 36 0.78 1 379 1,060 400 115 99 min
#44 909 28 28 1.0 0 348 40 1,140 80 73 min
#45 790 26 32 0.81 0 264 40 1,220 395 78 min
#46 665 26 42 0.62 2 244 60 1,060 175 78 min
#47 623 26 36 0.72 0 231 120 1,020 110 78 min
#48 1142 26 42 0.62 0 219 800 300 1,907 85 min
#49 786 25 45 0.56 0 575 0 1,440 1,317 99 min
#50 938 25 32 0.78 0 517 660 320 45 65 min
#51 736 25 33 0.76 2 313 160 1,420 85 99 min
#52 781 25 21 1.19 0 271 460 380 210 59 min
#53 691 23 21 1.1 0 950 0 1,740 10 99 min
#54 870 23 44 0.52 0 766 100 1,480 1,473 99 min
#55 719 23 45 0.51 0 303 20 1,520 1,910 99 min
#56 610 23 51 0.45 1 274 40 1,240 15 99 min
#57 743 22 9 2.44 0 431 620 40 105 42 min
#58 694 21 15 1.4 0 509 520 280 310 48 min
#59 786 21 30 0.7 0 221 640 100 30 54 min
#60 859 20 12 1.67 0 217 0 420 0 26 min
#61 600 20 50 0.4 0 208 980 280 110 91 min
#62 785 19 19 1.0 0 371 0 800 30 54 min
#63 860 19 23 0.83 0 200 680 480 45 70 min
#64 634 19 22 0.86 0 184 640 180 90 50 min
#65 663 19 10 1.9 0 156 20 660 5 40 min
#66 654 18 2 9.0 6 294 0 1,120 1,881 58 min
#67 724 18 15 1.2 0 196 400 220 20 47 min
#68 1044 17 34 0.5 0 773 960 340 1,099 83 min
#69 752 17 19 0.89 1 207 560 360 5 58 min
#70 554 17 24 0.71 0 182 780 260 515 71 min
#71 691 17 17 1.0 0 146 100 1,080 115 68 min
#72 669 16 23 0.7 0 202 180 1,160 195 81 min
#73 575 15 40 0.38 0 244 140 1,260 570 95 min
#74 939 15 19 0.79 0 233 460 200 0 50 min
#75 713 15 24 0.62 0 214 40 640 70 47 min
#76 760 14 36 0.39 1 306 40 1,400 1,985 99 min
#77 911 13 10 1.3 0 261 0 620 190 35 min
#78 536 13 17 0.76 0 247 0 1,020 285 60 min
#79 615 13 12 1.08 0 180 0 660 5 38 min
#80 13 6 2.17 0 172 320 20 5 20 min
#81 750 13 32 0.41 0 143 80 1,080 735 74 min
#82 601 13 37 0.35 0 136 1,140 440 620 99 min
#83 814 12 21 0.57 0 447 1,500 100 661 95 min
#84 986 12 7 1.71 0 134 420 0 10 24 min
#85 606 12 43 0.28 0 132 820 600 1,965 99 min
#86 500 12 34 0.35 0 123 100 1,060 105 90 min
#87 852 12 11 1.09 0 96 180 240 10 37 min
#88 562 11 45 0.24 0 347 980 380 1,325 99 min
#89 894 11 10 1.1 0 218 20 400 0 29 min
#90 631 11 32 0.34 1 203 960 500 115 99 min
#91 645 11 9 1.22 0 152 0 500 155 31 min
#92 606 11 27 0.41 0 132 60 1,600 1,061 99 min
#93 569 11 42 0.26 1 124 120 1,380 130 96 min
#94 11 11 1.0 0 95 20 180 10 17 min
#95 486 10 0 10.0 0 191 220 460 40 36 min
#96 652 10 51 0.2 0 156 1,120 360 5 100 min
#97 1224 10 18 0.56 0 131 180 80 75 21 min
#98 935 10 0 10.0 0 116 0 540 870 28 min
#99 608 10 27 0.37 0 114 80 940 150 99 min
#100 796 10 11 0.91 0 97 0 680 730 43 min
#101 9 10 0.9 1 138 200 60 150 18 min
#102 607 9 16 0.56 0 98 420 300 375 48 min
#103 486 9 24 0.38 0 77 500 260 200 61 min
#104 765 8 18 0.44 0 145 0 460 10 29 min
#105 558 8 31 0.26 0 118 880 540 4,245 99 min
#106 1041 8 16 0.5 1 111 20 440 50 31 min
#107 1057 8 23 0.35 0 61 160 240 1,260 42 min
#108 528 7 33 0.21 0 142 940 700 110 99 min
#109 530 7 42 0.17 0 71 100 1,220 120 92 min
#110 658 7 9 0.78 0 65 0 320 0 24 min
#111 519 7 3 2.33 0 60 0 400 0 21 min
#112 7 4 1.75 0 50 80 120 0 15 min
#113 717 6 13 0.46 0 719 0 1,580 250 99 min
#114 659 6 6 1.0 0 368 0 900 130 56 min
#115 646 6 15 0.4 2 176 0 660 35 47 min
#116 6 4 1.5 0 79 0 200 0 11 min
#117 605 6 10 0.6 0 69 0 300 5 21 min
#118 599 6 48 0.12 0 61 940 260 1,210 88 min
#119 814 5 16 0.31 0 67 420 180 605 42 min
#120 850 5 7 0.71 0 52 320 0 0 22 min
#121 755 5 17 0.29 0 51 580 20 400 40 min
#122 1121 5 9 0.56 0 45 500 140 50 41 min
#123 5 8 0.62 0 41 0 220 183 17 min
#124 5 4 1.25 0 41 120 20 0 10 min
#125 4 5 0.8 0 38 0 120 0 12 min
#126 721 4 6 0.67 0 37 140 120 0 36 min
#127 575 3 18 0.17 2 937 600 1,180 80 99 min
#128 3 1 3.0 0 183 0 140 15 7 min
#129 3 17 0.18 0 86 180 40 0 18 min
#130 3 9 0.33 0 45 240 0 0 14 min
#131 3 7 0.43 0 37 200 0 5 14 min
#132 583 3 7 0.43 0 28 40 280 5 28 min
#133 835 3 7 0.43 0 27 160 160 140 21 min
#134 576 3 10 0.3 0 26 220 60 0 23 min
#135 983 3 13 0.23 0 23 160 140 100 24 min
#136 3 3 1.0 0 17 40 20 0 8 min
#137 401 2 3 0.67 0 492 240 120 0 21 min
#138 849 2 17 0.12 0 35 0 500 146 36 min
#139 2 7 0.29 0 31 0 220 5 15 min
#140 2 3 0.67 0 27 40 0 5 3 min
#141 484 2 21 0.1 0 26 20 680 25 49 min
#142 2 3 0.67 0 20 40 80 10 10 min
#143 2 0 2.0 0 15 60 60 0 8 min
#144 369 1 21 0.05 0 32 480 1,260 20 99 min
#145 1 9 0.11 0 25 280 20 175 20 min
#146 1 4 0.25 0 15 80 40 0 12 min
#147 1 8 0.12 0 12 60 20 15 12 min
#148 1 7 0.14 0 11 140 0 110 14 min
#149 734 1 6 0.17 0 9 240 420 50 40 min
#150 546 1 5 0.2 0 8 0 220 0 26 min
#151 857 0 3 0.0 1 469 240 120 55 21 min
#152 0 6 0.0 0 7 0 280 0 18 min
#153 778 0 8 0.0 0 4 300 120 110 27 min
#154 677 0 6 0.0 0 4 100 140 0 22 min
#155 0 1 0.0 0 3 40 20 0 4 min
#156 0 3 0.0 0 3 0 40 0 5 min
#157 0 5 0.0 0 3 20 80 0 8 min
#158 0 1 0.0 0 1 0 120 5 17 min
#159 0 5 0.0 0 1 80 0 0 8 min
#160 0 0 0.0 0 1 0 0 0 0 min
#161 0 3 0.0 0 1 40 40 0 7 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 180 687 10 min
#164 0 1 0.0 0 0 0 100 0 13 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 1 min
#167 0 2 0.0 0 0 20 20 15 5 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 1 0.0 0 0 40 60 0 8 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 1 0.0 0 0 0 20 0 3 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 1 min
#175 0 0 0.0 0 0 0 0 0 2 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 0 0.0 0 0 20 0 0 3 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 1 0.0 0 0 0 20 5 2 min
#181 0 2 0.0 0 0 0 0 5 4 min
#182 0 2 0.0 0 0 0 0 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