elalamein_offensive_ger

El Alamein Offensive Day DAK attack

01.02.2026 14:11 | POWERBITS GAMETEAM HLL OFFENSIVE | LOW PING

Result

5:0

Axis wins

Players

180

Total Kills

1,701

Allied Kills

773

Axis Kills

928

Match Duration

66 min

Kills/Min

25.9

Normal Match ELO

Allies 983.0 (all: 737.0)
Ø Match 1085.0
Axis 1188.0 (all: 831.0)
Highly imbalanced

Player Statistics (180)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1174 104 3 34.67 3 1,882 440 740 210 61 min
#2 1205 53 5 10.6 1 538 540 480 5 58 min
#3 1359 52 27 1.93 0 538 540 360 770 59 min
#4 1025 47 14 3.36 0 545 480 600 90 61 min
#5 1301 47 12 3.92 0 540 440 720 65 61 min
#6 664 43 10 4.3 1 390 0 1,000 75 61 min
#7 777 42 15 2.8 0 455 660 260 919 54 min
#8 948 39 18 2.17 0 372 520 540 220 61 min
#9 1136 38 17 2.24 0 425 380 640 130 61 min
#10 1026 37 16 2.31 0 425 160 920 190 61 min
#11 863 32 43 0.74 0 370 160 660 20 63 min
#12 744 29 5 5.8 0 375 200 880 10 64 min
#13 838 29 7 4.14 3 329 0 680 347 47 min
#14 895 29 22 1.32 0 287 100 460 210 43 min
#15 1158 26 22 1.18 0 529 680 200 105 57 min
#16 925 26 21 1.24 0 256 500 280 235 59 min
#17 1019 25 8 3.12 3 434 420 620 2,792 57 min
#18 777 25 18 1.39 1 324 40 1,040 168 64 min
#19 735 25 26 0.96 0 313 0 960 35 61 min
#20 710 24 12 2.0 0 339 0 760 400 44 min
#21 948 24 29 0.83 0 267 560 380 180 61 min
#22 792 24 25 0.96 0 257 100 860 75 61 min
#23 1120 23 15 1.53 0 262 440 240 110 45 min
#24 856 22 23 0.96 0 259 440 480 150 61 min
#25 892 22 21 1.05 0 259 0 740 262 55 min
#26 1130 21 13 1.62 0 380 260 760 600 59 min
#27 669 20 7 2.86 0 662 20 820 25 48 min
#28 795 20 10 2.0 0 384 780 160 110 52 min
#29 795 20 11 1.82 2 274 0 660 1,657 43 min
#30 1043 20 13 1.54 0 254 160 500 40 42 min
#31 667 20 28 0.71 0 247 20 880 1,860 60 min
#32 924 19 8 2.38 0 816 40 880 80 61 min
#33 822 19 37 0.51 0 377 100 740 195 59 min
#34 1024 19 16 1.19 0 207 40 580 15 41 min
#35 893 18 12 1.5 2 407 180 820 460 59 min
#36 962 18 13 1.38 0 355 180 220 60 28 min
#37 1250 17 7 2.43 0 181 480 200 115 43 min
#38 638 17 14 1.21 0 170 660 420 0 61 min
#39 566 16 8 2.0 0 665 20 1,140 610 61 min
#40 620 16 7 2.29 0 434 380 760 25 61 min
#41 685 16 30 0.53 1 171 640 260 160 61 min
#42 935 15 12 1.25 0 349 200 240 20 29 min
#43 626 15 4 3.75 0 210 240 300 1,060 32 min
#44 858 14 17 0.82 1 342 640 460 675 61 min
#45 635 14 13 1.08 0 155 40 720 180 61 min
#46 523 13 14 0.93 0 368 180 500 115 45 min
#47 778 13 17 0.76 1 195 20 760 166 51 min
#48 593 12 4 3.0 1 537 100 660 100 43 min
#49 664 12 29 0.41 0 452 740 260 560 61 min
#50 1160 12 10 1.2 0 327 480 140 310 37 min
#51 779 12 16 0.75 0 109 60 280 75 27 min
#52 853 11 17 0.65 0 401 520 560 1,427 61 min
#53 721 11 8 1.38 0 214 0 260 15 20 min
#54 652 11 22 0.5 0 153 40 880 320 61 min
#55 1139 11 1 11.0 6 87 0 720 360 36 min
#56 655 10 28 0.36 0 183 700 320 115 61 min
#57 982 10 24 0.42 1 100 660 360 358 64 min
#58 621 10 13 0.77 1 85 420 300 0 46 min
#59 832 9 5 1.8 1 656 320 860 170 61 min
#60 673 9 25 0.36 0 216 60 580 195 46 min
#61 9 8 1.12 1 104 0 160 0 14 min
#62 643 9 17 0.53 1 88 20 880 70 64 min
#63 607 9 11 0.82 0 85 40 1,040 707 62 min
#64 762 8 12 0.67 0 129 480 600 495 61 min
#65 846 8 22 0.36 4 107 500 400 430 57 min
#66 797 8 7 1.14 0 69 160 280 210 31 min
#67 590 8 18 0.44 0 64 620 220 10 61 min
#68 7 1 7.0 0 218 240 100 0 18 min
#69 808 7 12 0.58 0 196 200 460 0 45 min
#70 796 7 12 0.58 0 83 0 280 75 22 min
#71 678 7 22 0.32 8 76 40 640 713 47 min
#72 885 6 9 0.67 0 318 20 1,040 1,957 61 min
#73 548 6 23 0.26 0 221 500 260 378 59 min
#74 6 6 1.0 0 107 0 220 45 13 min
#75 6 7 0.86 0 74 0 300 15 19 min
#76 6 3 2.0 0 68 0 100 0 8 min
#77 6 3 2.0 0 67 0 320 100 20 min
#78 687 6 2 3.0 0 63 240 120 0 21 min
#79 643 6 18 0.33 0 59 0 280 5 26 min
#80 667 6 5 1.2 0 57 160 580 75 46 min
#81 6 1 6.0 0 49 80 60 5 7 min
#82 5 10 0.5 0 187 0 200 5 14 min
#83 544 5 17 0.29 0 161 40 480 75 39 min
#84 727 5 18 0.28 0 96 20 1,060 820 61 min
#85 440 5 6 0.83 0 58 160 160 20 23 min
#86 595 5 15 0.33 1 57 40 660 765 59 min
#87 933 4 5 0.8 1 914 300 800 85 59 min
#88 828 4 8 0.5 0 541 20 860 255 52 min
#89 528 4 17 0.24 0 92 300 580 315 55 min
#90 839 4 11 0.36 0 81 20 420 325 42 min
#91 750 4 10 0.4 1 47 320 700 2,345 61 min
#92 4 4 1.0 0 46 0 200 10 15 min
#93 4 3 1.33 0 43 100 0 0 6 min
#94 547 4 16 0.25 0 43 380 360 150 45 min
#95 484 4 16 0.25 1 41 280 200 10 61 min
#96 812 4 5 0.8 0 40 220 340 5 31 min
#97 4 1 4.0 0 25 60 60 75 6 min
#98 750 3 8 0.38 0 781 40 960 5 61 min
#99 523 3 4 0.75 0 233 280 300 15 33 min
#100 875 3 14 0.21 0 136 280 360 80 50 min
#101 705 3 8 0.38 0 92 240 360 1,655 41 min
#102 528 3 15 0.2 0 66 40 1,060 442 61 min
#103 3 0 3.0 0 65 0 120 0 7 min
#104 3 5 0.6 0 49 0 100 0 9 min
#105 683 3 14 0.21 0 47 680 460 265 61 min
#106 3 10 0.3 0 35 0 200 10 16 min
#107 3 12 0.25 0 32 0 140 75 14 min
#108 3 3 1.0 0 27 160 40 0 17 min
#109 696 2 4 0.5 0 482 20 680 90 41 min
#110 2 5 0.4 0 80 80 20 100 7 min
#111 665 2 17 0.12 0 36 580 480 25 61 min
#112 2 9 0.22 0 30 0 220 210 16 min
#113 405 2 9 0.22 0 29 0 320 30 20 min
#114 520 2 28 0.07 0 28 0 880 1,189 57 min
#115 2 1 2.0 0 22 20 0 0 4 min
#116 2 1 2.0 0 21 0 200 25 15 min
#117 2 4 0.5 0 21 40 80 5 10 min
#118 2 0 2.0 0 20 0 80 0 6 min
#119 2 3 0.67 0 20 60 80 5 11 min
#120 764 2 13 0.15 0 20 0 940 4,822 64 min
#121 426 2 25 0.08 0 19 20 760 1,030 59 min
#122 2 4 0.5 0 16 0 140 10 10 min
#123 2 6 0.33 0 15 0 80 0 6 min
#124 2 12 0.17 0 13 0 240 0 19 min
#125 725 1 6 0.17 0 917 360 760 210 61 min
#126 794 1 10 0.1 0 687 40 1,080 275 61 min
#127 1 3 0.33 0 78 0 80 0 7 min
#128 1 6 0.17 0 68 0 160 0 12 min
#129 710 1 24 0.04 0 64 500 380 2,105 62 min
#130 1 1 1.0 0 36 0 280 5 14 min
#131 1 8 0.12 0 23 0 200 15 16 min
#132 683 1 5 0.2 0 21 0 380 195 25 min
#133 1 1 1.0 0 20 0 120 10 7 min
#134 1 2 0.5 0 13 0 60 5 8 min
#135 662 1 16 0.06 0 12 0 340 40 28 min
#136 1 4 0.25 1 11 140 60 75 15 min
#137 582 1 12 0.08 0 10 420 260 360 40 min
#138 0 2 0.0 0 20 0 20 0 12 min
#139 0 3 0.0 0 13 0 140 0 11 min
#140 0 3 0.0 0 10 40 20 0 5 min
#141 0 2 0.0 0 6 40 80 75 7 min
#142 0 2 0.0 0 4 0 40 0 4 min
#143 0 3 0.0 0 3 20 120 0 11 min
#144 0 2 0.0 1 3 60 80 167 7 min
#145 0 5 0.0 0 2 0 180 45 15 min
#146 0 3 0.0 0 2 120 40 105 10 min
#147 0 0 0.0 0 2 0 20 0 3 min
#148 0 4 0.0 0 2 160 80 60 15 min
#149 0 1 0.0 0 1 20 100 20 7 min
#150 0 0 0.0 0 0 0 0 0 4 min
#151 0 0 0.0 0 0 0 0 0 16 min
#152 0 0 0.0 0 0 0 0 0 0 min
#153 0 3 0.0 0 0 0 80 0 6 min
#154 0 0 0.0 0 0 0 0 0 61 min
#155 0 2 0.0 0 0 0 40 0 7 min
#156 0 3 0.0 0 0 100 80 87 16 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 0 0.0 0 0 0 0 0 0 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 0 min
#163 0 0 0.0 0 0 0 0 0 61 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 0 0 0 min
#167 0 2 0.0 0 0 40 20 0 6 min
#168 0 1 0.0 0 0 0 0 0 1 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 0 min
#172 0 0 0.0 1 0 20 0 0 1 min
#173 0 0 0.0 0 0 0 40 0 2 min
#174 0 0 0.0 0 0 0 0 0 17 min
#175 0 0 0.0 0 0 0 0 0 1 min
#176 0 0 0.0 0 0 0 0 0 13 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 0 min
#180 0 0 0.0 0 0 0 0 0 0 min