elalamein_offensive_ger

El Alamein Offensive Day DAK attack

26.02.2026 18:02 | OffensiveHeaven_7

Result

5:0

Axis wins

Players

187

Total Kills

2,046

Allied Kills

1,063

Axis Kills

983

Match Duration

74 min

Kills/Min

27.6

Normal Match ELO

Allies 1147.0 (all: 792.0)
Ø Match 1164.0
Axis 1180.0 (all: 808.0)

Player Statistics (187)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1904 93 29 3.21 0 1,329 940 160 55 69 min
#2 1241 88 14 6.29 0 809 160 1,060 175 70 min
#3 688 67 4 16.75 1 1,837 40 1,280 80 69 min
#4 1160 58 7 8.29 5 1,039 260 1,460 920 69 min
#5 1016 52 9 5.78 0 689 720 440 205 68 min
#6 831 50 12 4.17 0 612 440 800 250 71 min
#7 948 45 2 22.5 0 653 220 600 25 48 min
#8 1173 44 20 2.2 0 868 740 380 250 69 min
#9 1102 38 12 3.17 1 771 140 940 415 67 min
#10 1042 36 38 0.95 0 411 20 860 95 69 min
#11 738 35 23 1.52 0 505 80 920 40 61 min
#12 903 35 24 1.46 1 468 280 800 500 69 min
#13 983 33 21 1.57 0 525 180 980 455 69 min
#14 1316 32 8 4.0 0 302 20 320 95 21 min
#15 1284 31 6 5.17 0 296 60 420 10 30 min
#16 1069 29 40 0.72 1 372 880 140 15 69 min
#17 872 28 27 1.04 0 541 40 880 652 68 min
#18 977 28 21 1.33 0 225 60 660 225 52 min
#19 862 25 6 4.17 3 525 780 500 3,825 69 min
#20 770 25 40 0.62 0 325 940 40 0 71 min
#21 591 25 32 0.78 0 277 20 940 40 64 min
#22 1080 25 24 1.04 0 276 800 160 617 63 min
#23 737 24 12 2.0 0 294 300 480 105 47 min
#24 614 24 23 1.04 2 261 1,000 140 932 71 min
#25 839 23 28 0.82 0 404 880 160 15 69 min
#26 519 22 12 1.83 0 242 180 520 35 45 min
#27 939 21 43 0.49 2 386 800 120 265 69 min
#28 866 21 34 0.62 0 243 40 980 1,790 72 min
#29 831 21 14 1.5 0 240 20 840 5 55 min
#30 803 21 20 1.05 0 191 660 220 105 58 min
#31 1219 21 9 2.33 0 190 0 240 235 22 min
#32 732 20 3 6.67 1 621 0 1,260 255 71 min
#33 1390 20 10 2.0 0 412 540 80 15 35 min
#34 1009 20 16 1.25 0 327 520 60 15 39 min
#35 934 20 27 0.74 0 182 880 260 605 72 min
#36 1051 20 14 1.43 0 164 400 40 145 31 min
#37 798 19 20 0.95 0 327 100 760 687 69 min
#38 807 19 8 2.38 0 192 220 520 75 45 min
#39 715 18 22 0.82 0 432 100 960 870 69 min
#40 838 18 15 1.2 0 256 580 220 175 53 min
#41 751 18 9 2.0 0 236 20 620 70 41 min
#42 562 18 24 0.75 0 212 840 200 105 72 min
#43 17 8 2.12 0 273 0 220 25 15 min
#44 17 13 1.31 0 141 20 240 280 20 min
#45 590 16 35 0.46 2 165 60 900 380 66 min
#46 860 15 15 1.0 1 348 420 40 35 33 min
#47 708 15 34 0.44 0 240 160 900 470 69 min
#48 925 15 16 0.94 0 167 620 180 60 48 min
#49 630 15 13 1.15 0 152 520 680 150 70 min
#50 630 15 11 1.36 2 127 100 1,000 210 68 min
#51 756 14 12 1.17 0 262 540 640 0 69 min
#52 717 14 26 0.54 1 170 40 1,080 1,847 69 min
#53 666 13 33 0.39 0 449 760 200 1,895 71 min
#54 13 2 6.5 0 201 140 200 5 18 min
#55 879 13 16 0.81 0 171 40 1,140 2,279 69 min
#56 749 13 15 0.87 0 119 540 140 330 46 min
#57 639 13 22 0.59 4 115 0 1,020 230 71 min
#58 705 12 8 1.5 0 307 740 420 177 67 min
#59 694 12 15 0.8 2 280 0 420 290 41 min
#60 752 12 28 0.43 0 156 860 80 835 71 min
#61 12 6 2.0 0 141 180 40 0 14 min
#62 828 12 30 0.4 2 119 840 160 825 67 min
#63 654 12 18 0.67 0 95 600 220 160 54 min
#64 819 11 2 5.5 0 269 160 340 35 31 min
#65 736 11 9 1.22 0 223 380 140 60 33 min
#66 894 11 18 0.61 1 207 720 460 210 69 min
#67 429 11 23 0.48 0 171 180 940 220 71 min
#68 747 11 8 1.38 0 138 140 440 565 38 min
#69 692 11 15 0.73 0 119 60 840 0 55 min
#70 1163 10 11 0.91 0 343 260 40 170 24 min
#71 812 10 23 0.43 0 268 100 680 20 55 min
#72 671 10 17 0.59 0 254 60 1,160 405 69 min
#73 665 10 15 0.67 0 141 20 400 40 29 min
#74 777 10 10 1.0 0 107 0 160 0 21 min
#75 762 9 17 0.53 1 149 0 440 401 33 min
#76 8 6 1.33 0 217 160 0 5 14 min
#77 486 8 18 0.44 0 171 1,000 180 562 69 min
#78 788 8 37 0.22 0 156 400 1,060 3,485 69 min
#79 681 8 38 0.21 0 108 900 100 10 69 min
#80 689 8 18 0.44 0 101 860 200 620 69 min
#81 8 3 2.67 0 79 0 120 5 9 min
#82 882 8 11 0.73 0 75 560 700 335 70 min
#83 629 8 12 0.67 0 73 420 20 185 30 min
#84 864 7 7 1.0 1 1,604 760 500 3,067 69 min
#85 454 7 4 1.75 0 272 220 400 30 34 min
#86 756 7 22 0.32 0 254 40 680 660 50 min
#87 814 7 32 0.22 1 214 840 180 1,730 71 min
#88 944 7 3 2.33 0 89 0 300 170 27 min
#89 839 7 16 0.44 1 86 500 80 0 37 min
#90 666 7 5 1.4 0 79 60 460 262 69 min
#91 894 7 8 0.88 0 64 200 120 0 21 min
#92 426 7 9 0.78 0 64 580 220 80 69 min
#93 666 6 6 1.0 0 607 420 900 105 69 min
#94 912 6 10 0.6 0 227 280 60 1,092 25 min
#95 455 6 28 0.21 0 125 920 540 220 69 min
#96 784 6 14 0.43 1 73 0 500 620 33 min
#97 6 8 0.75 0 71 0 180 0 14 min
#98 621 6 10 0.6 0 66 0 440 559 33 min
#99 596 6 5 1.2 0 61 60 220 0 46 min
#100 6 5 1.2 0 47 240 0 0 17 min
#101 866 6 11 0.55 4 43 0 420 202 29 min
#102 749 5 4 1.25 1 1,773 40 1,320 165 71 min
#103 5 5 1.0 0 125 0 180 0 16 min
#104 752 5 8 0.62 0 102 340 20 75 24 min
#105 835 5 17 0.29 0 94 520 80 415 44 min
#106 520 5 10 0.5 0 88 80 280 5 30 min
#107 555 5 11 0.45 0 49 540 40 617 36 min
#108 967 4 21 0.19 0 415 0 660 70 45 min
#109 991 4 12 0.33 0 86 280 0 70 23 min
#110 4 3 1.33 0 62 120 40 30 19 min
#111 675 4 6 0.67 0 53 460 100 450 35 min
#112 660 4 10 0.4 0 43 0 660 310 40 min
#113 4 4 1.0 0 43 120 60 75 14 min
#114 552 3 15 0.2 0 151 680 120 115 52 min
#115 3 4 0.75 0 81 0 100 0 10 min
#116 3 5 0.6 0 78 20 160 0 15 min
#117 640 3 14 0.21 1 56 0 440 300 35 min
#118 438 3 25 0.12 0 50 720 220 530 69 min
#119 3 2 1.5 0 38 0 300 285 19 min
#120 3 6 0.5 0 31 120 20 0 12 min
#121 3 0 3.0 0 26 0 20 25 2 min
#122 3 2 1.5 0 24 0 100 115 6 min
#123 3 2 1.5 0 24 0 80 0 7 min
#124 915 3 2 1.5 2 21 0 400 948 21 min
#125 742 2 10 0.2 0 108 280 280 220 20 min
#126 2 0 2.0 0 41 0 320 0 15 min
#127 2 6 0.33 0 40 0 240 225 18 min
#128 755 2 2 1.0 0 35 0 380 85 21 min
#129 2 6 0.33 0 26 180 20 0 12 min
#130 2 0 2.0 1 22 0 300 150 15 min
#131 2 2 1.0 0 20 80 20 0 6 min
#132 2 1 2.0 0 19 0 60 0 5 min
#133 622 2 10 0.2 0 17 40 300 40 26 min
#134 556 2 2 1.0 0 17 0 120 0 24 min
#135 596 1 4 0.25 0 1,687 40 1,260 650 69 min
#136 801 1 6 0.17 0 619 400 900 145 69 min
#137 384 1 35 0.03 0 78 640 100 300 69 min
#138 1 3 0.33 0 58 280 0 60 19 min
#139 1 3 0.33 0 25 80 140 20 15 min
#140 1 8 0.12 0 18 0 160 0 12 min
#141 1 3 0.33 0 15 60 0 10 10 min
#142 1 7 0.14 0 15 80 40 0 11 min
#143 523 1 24 0.04 0 15 20 580 460 50 min
#144 1 4 0.25 0 12 0 160 0 13 min
#145 1 1 1.0 0 11 60 40 0 5 min
#146 1 2 0.5 0 8 0 80 0 9 min
#147 1 1 1.0 0 7 0 20 0 3 min
#148 0 1 0.0 1 20 0 440 911 23 min
#149 0 5 0.0 0 9 0 220 50 12 min
#150 636 0 13 0.0 0 7 0 400 150 45 min
#151 0 5 0.0 0 4 200 20 15 15 min
#152 0 0 0.0 0 3 0 20 0 1 min
#153 0 1 0.0 0 3 0 40 0 3 min
#154 0 0 0.0 0 3 300 0 0 16 min
#155 0 5 0.0 0 2 140 80 135 20 min
#156 0 2 0.0 0 2 160 0 5 12 min
#157 628 0 7 0.0 0 1 0 200 0 21 min
#158 0 1 0.0 0 1 0 80 0 5 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 0 0 0 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 1 min
#163 0 0 0.0 0 0 0 0 0 1 min
#164 0 0 0.0 0 0 0 0 0 1 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 1 0.0 0 0 0 0 0 2 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 0 0 3 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 1 0.0 0 0 0 60 75 7 min
#174 0 0 0.0 0 0 0 0 0 2 min
#175 0 0 0.0 0 0 0 0 0 3 min
#176 0 0 0.0 0 0 0 0 0 1 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 10 min
#180 0 0 0.0 0 0 0 0 0 2 min
#181 0 3 0.0 0 0 40 40 0 8 min
#182 0 0 0.0 0 0 0 0 0 69 min
#183 0 0 0.0 0 0 0 0 0 1 min
#184 0 0 0.0 0 0 0 0 0 29 min
#185 0 1 0.0 0 0 0 40 0 5 min
#186 0 0 0.0 0 0 0 0 0 1 min
#187 0 0 0.0 0 0 0 0 0 3 min