elalamein_offensive_ger

El Alamein Offensive Day DAK attack

13.08.2025 01:23 | [Merc] US West | Offensive

Result

5:0

Axis wins

Players

190

Total Kills

2,246

Allied Kills

1,202

Axis Kills

1,044

Match Duration

82 min

Kills/Min

27.4

Normal Match ELO

Allies 1071.0 (all: 791.0)
Ø Match 1099.0
Axis 1128.0 (all: 809.0)

Player Statistics (190)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1187 73 5 14.6 1 1,152 460 980 110 77 min
#2 1128 63 2 31.5 5 596 0 1,140 0 58 min
#3 976 50 30 1.67 0 707 140 1,080 425 78 min
#4 874 47 5 9.4 0 554 40 800 0 54 min
#5 1110 47 3 15.67 0 484 0 740 50 41 min
#6 870 45 32 1.41 0 505 200 1,000 95 79 min
#7 897 44 26 1.69 0 504 100 1,160 30 77 min
#8 1295 42 9 4.67 0 471 380 560 40 52 min
#9 628 41 5 8.2 2 1,199 540 900 60 79 min
#10 1068 38 29 1.31 0 645 120 1,140 375 80 min
#11 930 38 28 1.36 0 440 740 460 235 77 min
#12 845 38 27 1.41 0 407 80 1,120 430 76 min
#13 902 35 12 2.92 7 607 120 960 90 70 min
#14 913 35 17 2.06 3 602 0 1,200 4,147 77 min
#15 619 34 21 1.62 0 893 60 1,240 757 77 min
#16 1084 34 26 1.31 0 456 920 320 520 78 min
#17 877 33 24 1.38 1 469 940 360 186 78 min
#18 560 32 32 1.0 0 409 680 420 35 77 min
#19 991 32 13 2.46 0 376 160 700 205 59 min
#20 820 32 26 1.23 0 353 760 500 645 77 min
#21 1091 30 32 0.94 0 608 80 780 70 73 min
#22 966 30 32 0.94 0 401 760 200 75 78 min
#23 1086 29 8 3.62 0 327 100 320 5 28 min
#24 891 29 28 1.04 0 273 60 980 30 75 min
#25 820 27 24 1.12 0 490 920 380 140 77 min
#26 769 27 28 0.96 0 299 220 840 280 65 min
#27 1087 26 34 0.76 0 1,045 840 360 270 77 min
#28 1076 26 10 2.6 0 308 160 540 45 42 min
#29 1127 25 32 0.78 0 1,200 680 500 1,534 77 min
#30 860 25 39 0.64 0 423 680 420 95 77 min
#31 731 24 8 3.0 1 790 140 620 310 50 min
#32 777 23 26 0.88 2 1,074 60 1,160 155 80 min
#33 889 23 28 0.82 0 619 940 340 1,028 77 min
#34 600 23 15 1.53 4 427 0 1,020 25 74 min
#35 1131 23 13 1.77 0 227 0 360 10 27 min
#36 1038 22 14 1.57 1 552 60 1,300 6,002 77 min
#37 734 22 24 0.92 1 495 500 300 2,974 59 min
#38 1170 21 33 0.64 0 781 820 380 1,105 78 min
#39 898 21 9 2.33 0 358 360 200 215 40 min
#40 1056 21 14 1.5 0 251 0 560 35 38 min
#41 957 20 16 1.25 0 615 140 500 50 45 min
#42 886 20 5 4.0 1 388 120 1,080 155 77 min
#43 960 20 14 1.43 0 297 380 260 80 43 min
#44 864 20 25 0.8 0 271 480 760 1,960 76 min
#45 727 19 6 3.17 0 572 0 480 30 31 min
#46 954 19 16 1.19 0 511 320 740 360 66 min
#47 825 19 13 1.46 2 400 260 40 35 24 min
#48 904 19 1 19.0 1 310 20 460 0 26 min
#49 590 19 17 1.12 0 218 220 560 70 50 min
#50 654 19 15 1.27 0 173 100 480 275 45 min
#51 964 18 14 1.29 0 460 0 420 55 31 min
#52 738 18 18 1.0 0 407 260 860 682 77 min
#53 815 18 28 0.64 0 218 440 800 719 77 min
#54 629 17 5 3.4 2 1,258 540 800 110 77 min
#55 884 17 29 0.59 0 319 700 440 771 80 min
#56 681 16 23 0.7 1 241 180 660 60 56 min
#57 574 16 31 0.52 0 235 300 760 220 78 min
#58 866 16 17 0.94 0 179 40 440 0 35 min
#59 846 16 29 0.55 1 153 620 320 160 65 min
#60 1031 15 42 0.36 0 355 640 340 35 67 min
#61 783 15 37 0.41 1 202 620 420 680 80 min
#62 835 14 26 0.54 0 231 500 420 1,670 80 min
#63 712 14 29 0.48 0 183 740 360 625 72 min
#64 842 14 19 0.74 0 175 80 1,200 285 77 min
#65 691 13 1 13.0 0 514 160 280 45 22 min
#66 552 13 18 0.72 0 237 100 1,260 701 78 min
#67 684 13 19 0.68 0 194 0 920 430 77 min
#68 13 1 13.0 0 122 40 40 15 7 min
#69 818 12 12 1.0 1 453 80 880 140 59 min
#70 807 12 26 0.46 0 238 480 640 1,795 74 min
#71 675 12 31 0.39 0 114 600 220 375 65 min
#72 789 12 17 0.71 0 108 380 200 80 51 min
#73 795 12 12 1.0 0 102 0 360 15 26 min
#74 625 11 5 2.2 1 1,107 460 980 90 77 min
#75 1177 11 15 0.73 0 210 400 20 5 31 min
#76 603 11 19 0.58 0 155 240 880 60 77 min
#77 971 10 25 0.4 0 237 0 420 30 37 min
#78 1115 10 7 1.43 0 119 100 380 15 30 min
#79 10 7 1.43 0 100 40 200 95 19 min
#80 10 8 1.25 0 100 20 240 0 20 min
#81 686 9 25 0.36 1 532 1,040 180 471 77 min
#82 760 9 31 0.29 0 154 640 280 90 80 min
#83 549 9 10 0.9 0 123 300 420 20 49 min
#84 690 9 8 1.12 0 116 80 1,300 2,330 77 min
#85 524 9 28 0.32 0 114 500 440 0 65 min
#86 831 9 4 2.25 0 69 20 300 50 21 min
#87 726 8 17 0.47 0 125 60 700 140 50 min
#88 581 8 13 0.62 0 119 40 660 100 49 min
#89 905 8 23 0.35 0 103 400 180 1,430 41 min
#90 8 3 2.67 0 82 0 80 15 7 min
#91 694 8 33 0.24 0 78 640 380 1,705 68 min
#92 8 0 8.0 0 54 0 220 0 12 min
#93 781 7 16 0.44 0 109 360 40 515 31 min
#94 634 7 29 0.24 0 91 700 420 100 77 min
#95 7 3 2.33 0 83 0 240 130 19 min
#96 7 7 1.0 0 82 0 240 80 18 min
#97 616 7 9 0.78 0 68 340 120 15 29 min
#98 1019 7 3 2.33 0 66 100 280 0 24 min
#99 7 2 3.5 0 62 100 100 335 12 min
#100 457 6 9 0.67 0 160 0 600 15 44 min
#101 601 6 10 0.6 0 148 240 160 5 29 min
#102 6 3 2.0 0 139 40 0 0 6 min
#103 590 6 14 0.43 0 125 140 340 35 36 min
#104 657 6 25 0.24 0 119 60 1,220 470 77 min
#105 590 6 5 1.2 0 62 0 480 5 30 min
#106 649 6 7 0.86 0 61 180 100 115 25 min
#107 511 6 3 2.0 0 49 0 320 190 23 min
#108 477 5 2 2.5 0 374 20 420 30 27 min
#109 1053 5 10 0.5 0 277 0 340 80 27 min
#110 712 5 20 0.25 0 78 0 980 210 72 min
#111 387 5 7 0.71 0 66 40 660 40 48 min
#112 5 1 5.0 0 53 100 60 0 10 min
#113 637 5 24 0.21 1 49 280 100 0 36 min
#114 508 4 14 0.29 0 458 120 920 3,759 77 min
#115 758 4 20 0.2 0 109 640 200 35 66 min
#116 904 4 17 0.24 0 101 20 320 5 42 min
#117 4 5 0.8 0 79 100 40 0 10 min
#118 527 4 25 0.16 1 72 0 1,260 335 77 min
#119 724 4 12 0.33 0 65 0 380 15 41 min
#120 906 4 12 0.33 0 42 0 240 50 27 min
#121 4 3 1.33 0 34 0 240 0 16 min
#122 718 3 12 0.25 0 149 80 380 97 50 min
#123 3 1 3.0 1 55 20 200 111 12 min
#124 3 6 0.5 0 47 0 200 5 12 min
#125 415 3 21 0.14 0 39 0 1,020 0 69 min
#126 3 9 0.33 0 38 0 200 15 15 min
#127 648 3 7 0.43 0 35 180 40 10 34 min
#128 3 4 0.75 0 34 60 100 35 12 min
#129 3 6 0.5 0 26 60 140 75 17 min
#130 790 2 2 1.0 0 55 0 560 1,115 33 min
#131 2 5 0.4 0 41 0 220 0 13 min
#132 501 2 15 0.13 0 31 120 320 5 30 min
#133 483 2 5 0.4 0 29 120 320 0 43 min
#134 2 1 2.0 0 28 40 0 0 6 min
#135 2 2 1.0 0 15 80 0 5 7 min
#136 2 2 1.0 0 14 160 180 375 20 min
#137 1 2 0.5 0 43 0 300 151 19 min
#138 670 1 3 0.33 0 42 20 940 1,529 52 min
#139 1 10 0.1 0 38 0 140 50 15 min
#140 1 2 0.5 0 37 0 160 15 10 min
#141 1 2 0.5 0 27 0 200 25 17 min
#142 1 8 0.12 0 27 0 220 40 17 min
#143 1 3 0.33 0 26 100 0 0 10 min
#144 1 1 1.0 0 13 0 40 0 4 min
#145 545 1 4 0.25 0 13 60 260 0 23 min
#146 1 5 0.2 0 13 60 160 0 15 min
#147 1 1 1.0 0 13 0 40 5 6 min
#148 1 3 0.33 0 12 60 140 0 15 min
#149 1 4 0.25 0 12 0 260 60 16 min
#150 1 5 0.2 0 8 0 80 0 7 min
#151 0 0 0.0 0 790 360 740 1,545 0 min
#152 599 0 4 0.0 0 650 340 600 150 55 min
#153 0 1 0.0 0 53 20 0 5 5 min
#154 0 3 0.0 0 11 40 160 15 12 min
#155 0 4 0.0 0 8 60 160 5 17 min
#156 556 0 3 0.0 0 6 60 180 225 25 min
#157 392 0 29 0.0 0 4 600 500 5 75 min
#158 0 1 0.0 0 2 0 20 0 2 min
#159 643 0 4 0.0 0 2 0 280 5 20 min
#160 0 0 0.0 0 0 0 280 555 15 min
#161 0 1 0.0 0 0 0 0 0 1 min
#162 0 5 0.0 0 0 40 40 0 8 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 0 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 2 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 20 20 25 0 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 1 0.0 0 0 0 40 0 3 min
#175 0 0 0.0 0 0 0 0 0 2 min
#176 0 2 0.0 0 0 20 80 75 6 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 0 0 77 min
#180 0 0 0.0 0 0 0 0 0 15 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 1 0.0 0 0 0 20 0 2 min
#183 0 1 0.0 0 0 0 0 0 2 min
#184 0 0 0.0 0 0 0 0 0 2 min
#185 0 0 0.0 0 0 0 120 0 8 min
#186 0 0 0.0 0 0 0 300 20 17 min
#187 0 0 0.0 0 0 0 0 0 0 min
#188 0 2 0.0 0 0 0 200 0 19 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 0 0.0 0 0 0 0 0 0 min