elalamein_offensive_CW

El Alamein Offensive Day B8A attack

30.11.2025 10:38 | (IC) Offensive Heaven | US East

Result

3:2

Axis wins

Players

193

Total Kills

1,916

Allied Kills

908

Axis Kills

1,008

Match Duration

70 min

Kills/Min

27.3

Normal Match ELO

Allies 1346.0 (all: 824.0)
Ø Match 1197.0
Axis 1048.0 (all: 745.0)
Highly imbalanced

Player Statistics (193)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 783 104 8 13.0 6 888 0 1,020 280 59 min
#2 1054 61 28 2.18 0 749 900 200 25 66 min
#3 1633 54 11 4.91 0 944 520 680 130 66 min
#4 1113 54 33 1.64 0 538 20 1,000 120 66 min
#5 1140 43 39 1.1 0 727 880 120 1,030 66 min
#6 1064 43 27 1.59 0 448 480 500 2,525 66 min
#7 1136 42 29 1.45 0 456 80 1,060 55 66 min
#8 1133 40 20 2.0 0 543 0 1,140 150 66 min
#9 1532 40 6 6.67 0 304 180 340 1,451 31 min
#10 1161 38 21 1.81 0 415 660 120 985 49 min
#11 715 35 16 2.19 1 349 0 940 90 56 min
#12 740 34 2 17.0 1 686 0 1,300 5 66 min
#13 455 33 4 8.25 0 1,146 140 860 0 52 min
#14 1063 31 27 1.15 1 2,040 1,040 20 55 66 min
#15 1039 31 30 1.03 1 393 0 1,000 751 66 min
#16 951 31 12 2.58 2 357 0 1,100 875 66 min
#17 965 31 21 1.48 0 346 0 1,120 740 66 min
#18 674 30 26 1.15 0 366 20 900 225 66 min
#19 943 30 26 1.15 0 306 500 320 160 56 min
#20 1351 29 9 3.22 1 1,195 920 580 798 46 min
#21 702 29 16 1.81 2 324 100 1,120 245 66 min
#22 909 28 14 2.0 0 400 0 1,180 693 66 min
#23 900 28 14 2.0 0 356 40 1,140 300 67 min
#24 903 27 7 3.86 1 527 600 680 0 66 min
#25 920 27 32 0.84 0 397 40 780 525 66 min
#26 976 27 13 2.08 0 277 640 600 235 66 min
#27 666 26 17 1.53 2 498 700 380 160 66 min
#28 909 25 20 1.25 0 393 560 280 0 52 min
#29 878 25 15 1.67 5 299 20 1,140 2,957 66 min
#30 1328 25 12 2.08 0 280 40 460 75 30 min
#31 973 24 8 3.0 0 553 0 600 145 61 min
#32 710 24 26 0.92 1 282 40 920 1,010 63 min
#33 979 23 15 1.53 0 195 300 220 906 36 min
#34 854 22 12 1.83 0 445 40 1,080 15 64 min
#35 578 22 39 0.56 0 262 880 80 240 66 min
#36 22 0 22.0 7 162 0 220 0 15 min
#37 776 21 17 1.24 0 220 0 760 165 49 min
#38 867 20 19 1.05 0 429 620 200 533 54 min
#39 998 19 7 2.71 1 225 0 500 30 28 min
#40 774 19 29 0.66 0 218 60 1,020 270 66 min
#41 601 18 36 0.5 0 143 20 960 165 66 min
#42 686 17 34 0.5 0 188 620 220 30 66 min
#43 928 17 6 2.83 0 173 400 0 10 38 min
#44 1095 17 21 0.81 0 173 360 240 0 44 min
#45 691 16 21 0.76 0 507 0 880 1,918 57 min
#46 1008 16 10 1.6 0 176 500 120 90 41 min
#47 1011 16 25 0.64 0 151 500 40 160 43 min
#48 749 15 29 0.52 0 214 720 220 0 69 min
#49 739 15 19 0.79 3 172 0 1,060 2,494 66 min
#50 434 15 30 0.5 0 163 20 860 75 66 min
#51 923 14 17 0.82 0 223 520 100 55 39 min
#52 564 14 36 0.39 0 222 600 100 225 57 min
#53 665 12 17 0.71 0 143 760 340 1,055 66 min
#54 2045 12 9 1.33 0 126 240 140 5 35 min
#55 1225 12 14 0.86 0 124 300 180 110 35 min
#56 777 12 20 0.6 0 118 0 960 165 66 min
#57 668 12 8 1.5 0 90 400 80 225 32 min
#58 630 11 8 1.38 0 310 740 160 150 51 min
#59 10 3 3.33 0 239 280 0 45 20 min
#60 670 10 15 0.67 0 146 20 720 488 48 min
#61 604 10 32 0.31 0 121 0 860 5 57 min
#62 10 6 1.67 0 97 0 240 0 17 min
#63 784 10 6 1.67 1 85 300 140 20 28 min
#64 780 9 12 0.75 0 123 20 440 0 30 min
#65 695 9 17 0.53 0 84 0 1,140 1,675 68 min
#66 622 8 5 1.6 0 576 0 1,240 65 66 min
#67 699 8 11 0.73 0 226 0 420 105 26 min
#68 714 8 29 0.28 0 222 20 500 88 50 min
#69 931 8 8 1.0 1 179 360 100 5 29 min
#70 614 8 5 1.6 0 131 160 260 905 24 min
#71 577 8 26 0.31 0 90 0 560 75 49 min
#72 710 7 7 1.0 0 232 0 640 2,310 40 min
#73 790 7 3 2.33 0 177 0 340 125 20 min
#74 811 7 6 1.17 0 113 680 160 5 49 min
#75 632 7 14 0.5 0 107 460 80 223 38 min
#76 7 3 2.33 0 105 40 140 0 12 min
#77 884 7 9 0.78 0 78 220 220 320 30 min
#78 658 7 15 0.47 0 71 260 100 215 30 min
#79 709 6 15 0.4 1 81 300 120 160 38 min
#80 6 2 3.0 0 75 0 160 195 8 min
#81 911 6 9 0.67 0 72 240 240 155 33 min
#82 6 12 0.5 0 51 200 0 160 19 min
#83 884 5 4 1.25 0 347 320 320 50 37 min
#84 521 5 1 5.0 0 209 20 480 15 25 min
#85 933 5 1 5.0 0 108 120 360 935 38 min
#86 5 9 0.56 0 105 160 100 0 17 min
#87 529 5 21 0.24 0 100 240 40 5 29 min
#88 5 3 1.67 0 80 80 220 0 16 min
#89 875 5 20 0.25 0 75 0 500 325 38 min
#90 730 5 14 0.36 2 70 240 180 951 30 min
#91 970 5 10 0.5 0 67 0 440 0 40 min
#92 821 5 16 0.31 0 64 0 320 100 24 min
#93 411 5 10 0.5 0 55 0 380 10 29 min
#94 710 5 4 1.25 0 41 0 460 425 26 min
#95 840 4 7 0.57 0 107 280 140 205 28 min
#96 474 4 28 0.14 0 94 40 980 370 66 min
#97 879 4 23 0.17 0 75 40 440 160 41 min
#98 4 4 1.0 0 67 0 200 5 13 min
#99 631 4 13 0.31 1 60 280 120 265 27 min
#100 4 4 1.0 0 58 160 0 0 16 min
#101 756 4 34 0.12 0 55 740 280 2,940 66 min
#102 627 4 24 0.17 0 54 440 220 75 51 min
#103 783 4 10 0.4 0 40 0 860 2,290 63 min
#104 4 5 0.8 0 39 0 180 0 13 min
#105 4 5 0.8 0 24 20 120 0 66 min
#106 3 2 1.5 0 79 100 100 0 15 min
#107 496 3 18 0.17 0 72 0 760 455 55 min
#108 672 3 10 0.3 0 43 280 20 0 24 min
#109 3 5 0.6 0 25 100 20 160 11 min
#110 544 2 6 0.33 0 145 220 820 70 57 min
#111 800 2 7 0.29 1 40 0 420 10 29 min
#112 2 10 0.2 1 26 160 40 5 17 min
#113 427 2 9 0.22 0 24 260 180 15 30 min
#114 2 6 0.33 0 24 140 60 75 15 min
#115 2 2 1.0 0 19 120 80 300 13 min
#116 798 2 18 0.11 0 19 320 20 460 27 min
#117 2 2 1.0 0 13 40 0 25 6 min
#118 721 1 5 0.2 0 1,113 140 680 110 44 min
#119 528 1 2 0.5 1 592 0 1,080 50 60 min
#120 535 1 7 0.14 1 340 200 280 15 37 min
#121 583 1 1 1.0 0 208 20 580 15 57 min
#122 621 1 16 0.06 0 72 0 960 375 65 min
#123 1 1 1.0 0 54 0 140 0 8 min
#124 1 5 0.2 0 25 0 240 5 16 min
#125 1 5 0.2 0 25 180 40 0 13 min
#126 472 1 3 0.33 0 16 160 300 75 28 min
#127 1 4 0.25 0 15 80 40 0 9 min
#128 1 3 0.33 0 14 0 200 5 13 min
#129 1 2 0.5 0 13 80 0 0 5 min
#130 1 2 0.5 1 10 0 40 0 4 min
#131 1 4 0.25 0 10 40 0 105 5 min
#132 1 3 0.33 0 9 40 0 0 4 min
#133 1 4 0.25 0 8 80 80 0 13 min
#134 498 1 15 0.07 0 6 220 140 270 30 min
#135 451 0 5 0.0 0 237 40 620 25 37 min
#136 0 1 0.0 1 203 20 720 45 41 min
#137 0 4 0.0 0 58 0 120 0 10 min
#138 0 1 0.0 0 52 40 80 0 11 min
#139 451 0 10 0.0 0 5 260 20 170 22 min
#140 590 0 3 0.0 0 5 0 1,260 4,262 66 min
#141 457 0 12 0.0 0 5 180 320 75 33 min
#142 0 5 0.0 0 4 0 240 0 15 min
#143 0 3 0.0 0 4 60 20 0 6 min
#144 0 1 0.0 0 3 0 20 0 2 min
#145 0 1 0.0 0 3 0 40 0 4 min
#146 0 5 0.0 0 3 40 100 70 11 min
#147 0 0 0.0 0 3 80 40 0 9 min
#148 0 6 0.0 0 2 100 0 55 9 min
#149 0 2 0.0 0 2 20 240 0 16 min
#150 0 1 0.0 0 2 0 40 0 5 min
#151 0 10 0.0 0 1 80 60 0 13 min
#152 0 2 0.0 0 1 0 60 0 3 min
#153 0 4 0.0 0 1 60 20 175 7 min
#154 0 4 0.0 0 1 0 120 125 10 min
#155 0 4 0.0 0 1 0 280 75 17 min
#156 0 5 0.0 0 1 80 20 75 11 min
#157 0 0 0.0 0 1 40 80 5 9 min
#158 0 3 0.0 0 1 20 80 0 12 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 0 0 9 min
#161 0 0 0.0 0 0 0 20 0 1 min
#162 0 4 0.0 0 0 60 0 0 7 min
#163 0 1 0.0 0 0 20 120 0 19 min
#164 0 2 0.0 0 0 40 0 0 5 min
#165 0 0 0.0 0 0 0 0 0 13 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 0 0.0 0 0 0 0 0 7 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 0 0 1 min
#170 0 0 0.0 0 0 0 20 0 3 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 40 90 2 min
#174 0 0 0.0 0 0 0 0 0 66 min
#175 0 6 0.0 0 0 60 40 115 9 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 0 0 2 min
#178 0 0 0.0 0 0 0 0 0 0 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 1 min
#182 0 0 0.0 0 0 0 0 0 13 min
#183 0 1 0.0 0 0 20 20 165 5 min
#184 0 0 0.0 0 0 0 0 0 66 min
#185 0 0 0.0 0 0 0 0 0 14 min
#186 0 0 0.0 0 0 0 0 0 1 min
#187 0 1 0.0 0 0 0 40 0 2 min
#188 0 0 0.0 0 0 0 0 0 66 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 3 0.0 0 0 200 100 0 19 min
#191 0 1 0.0 0 0 0 0 0 4 min
#192 0 0 0.0 0 0 40 0 0 1 min
#193 0 1 0.0 0 0 0 140 0 17 min