elalamein_offensive_ger

El Alamein Offensive Day DAK attack

04.10.2025 22:03 | POWERBITS GAMETEAM HLL OFFENSIVE | LOW PING

Result

4:1

Axis wins

Players

193

Total Kills

1,890

Allied Kills

910

Axis Kills

974

Match Duration

73 min

Kills/Min

25.9

Normal Match ELO

Allies 1065.0 (all: 737.0)
Ø Match 1092.0
Axis 1120.0 (all: 771.0)

Player Statistics (193)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1006 65 1 65.0 4 615 0 1,320 2,120 66 min
#2 1420 58 41 1.41 2 702 520 320 65 63 min
#3 1061 57 25 2.28 0 634 180 1,000 90 68 min
#4 827 55 2 27.5 1 732 40 960 0 53 min
#5 1261 53 26 2.04 0 782 600 520 325 68 min
#6 1132 51 28 1.82 2 643 220 920 150 68 min
#7 1215 44 22 2.0 0 516 500 380 205 54 min
#8 1299 43 18 2.39 0 446 160 1,100 375 68 min
#9 1036 39 38 1.03 1 615 200 840 155 68 min
#10 1074 36 4 9.0 0 573 580 540 40 62 min
#11 892 35 20 1.75 0 325 480 660 180 68 min
#12 909 32 21 1.52 0 621 720 420 876 68 min
#13 1110 31 20 1.55 1 364 60 1,160 665 70 min
#14 697 31 26 1.19 0 346 380 680 230 66 min
#15 1015 29 18 1.61 0 333 480 560 650 69 min
#16 873 28 39 0.72 0 338 140 880 550 68 min
#17 694 28 20 1.4 1 327 480 580 5 64 min
#18 844 28 38 0.74 0 321 40 1,060 1,233 68 min
#19 671 27 14 1.93 1 257 400 860 15 68 min
#20 674 26 2 13.0 1 451 20 1,340 0 68 min
#21 730 26 9 2.89 1 333 240 240 0 30 min
#22 785 26 22 1.18 0 289 480 560 20 68 min
#23 595 26 26 1.0 1 264 180 820 260 70 min
#24 696 25 7 3.57 0 764 360 920 170 71 min
#25 868 25 23 1.09 0 605 120 940 280 67 min
#26 742 25 17 1.47 0 324 40 1,200 20 68 min
#27 830 24 26 0.92 1 371 140 1,020 85 68 min
#28 961 24 26 0.92 0 272 580 420 673 65 min
#29 509 24 16 1.5 0 205 220 1,040 530 68 min
#30 1006 23 21 1.1 0 262 480 220 1,336 53 min
#31 695 23 20 1.15 0 242 480 620 60 68 min
#32 637 22 12 1.83 3 510 300 920 2,532 68 min
#33 871 22 34 0.65 1 393 20 900 55 62 min
#34 793 21 4 5.25 1 917 340 640 35 52 min
#35 852 21 13 1.62 0 343 420 420 770 49 min
#36 620 20 2 10.0 1 789 80 500 0 34 min
#37 661 20 15 1.33 0 328 0 840 10 52 min
#38 1312 20 15 1.33 0 254 20 1,240 3,482 68 min
#39 1295 19 1 19.0 0 318 0 340 0 34 min
#40 697 19 31 0.61 0 297 140 900 200 68 min
#41 592 19 13 1.46 1 210 360 620 15 63 min
#42 775 18 15 1.2 0 622 60 980 10 66 min
#43 1219 18 6 3.0 0 156 200 120 120 25 min
#44 884 17 21 0.81 0 366 420 740 876 68 min
#45 563 17 4 4.25 0 271 0 1,340 20 71 min
#46 706 17 16 1.06 0 254 260 540 235 48 min
#47 945 17 13 1.31 0 155 40 500 240 34 min
#48 756 16 4 4.0 1 319 0 700 15 38 min
#49 732 16 38 0.42 0 223 40 940 5 67 min
#50 587 16 37 0.43 0 163 40 900 0 68 min
#51 753 15 16 0.94 0 399 0 1,000 615 68 min
#52 755 15 10 1.5 0 189 80 680 115 46 min
#53 920 15 5 3.0 0 168 0 320 5 20 min
#54 888 14 22 0.64 0 261 620 300 1,305 55 min
#55 514 14 16 0.88 0 148 80 380 140 42 min
#56 859 13 15 0.87 0 130 300 560 255 68 min
#57 664 12 14 0.86 0 255 40 300 145 26 min
#58 465 12 24 0.5 0 121 120 860 405 65 min
#59 977 11 11 1.0 0 205 380 280 560 44 min
#60 797 11 12 0.92 0 130 20 620 880 39 min
#61 716 11 14 0.79 0 121 80 380 0 31 min
#62 848 11 10 1.1 0 83 200 200 75 31 min
#63 889 10 6 1.67 0 195 140 220 5 22 min
#64 762 9 29 0.31 0 203 40 660 676 50 min
#65 497 9 18 0.5 0 131 40 900 185 62 min
#66 623 9 29 0.31 0 87 60 520 35 68 min
#67 596 8 4 2.0 0 899 340 620 145 51 min
#68 734 8 10 0.8 0 393 220 540 525 48 min
#69 868 8 11 0.73 0 99 400 500 25 50 min
#70 8 7 1.14 0 99 40 260 0 20 min
#71 486 8 9 0.89 0 93 240 660 330 64 min
#72 794 8 10 0.8 0 85 200 360 0 41 min
#73 797 8 3 2.67 0 84 40 280 5 20 min
#74 680 7 3 2.33 0 738 60 1,220 70 68 min
#75 767 7 10 0.7 0 90 20 520 181 32 min
#76 494 7 27 0.26 0 87 240 760 80 68 min
#77 689 7 14 0.5 1 84 280 780 825 64 min
#78 545 7 39 0.18 0 75 560 400 650 68 min
#79 924 7 11 0.64 0 67 0 1,300 5,325 68 min
#80 7 2 3.5 0 61 20 60 0 6 min
#81 615 6 1 6.0 0 756 80 520 95 33 min
#82 815 6 17 0.35 0 156 380 320 695 43 min
#83 6 2 3.0 2 142 20 120 75 15 min
#84 735 6 23 0.26 0 138 120 820 10 64 min
#85 557 6 32 0.19 1 135 100 880 425 67 min
#86 634 6 19 0.32 1 129 120 900 210 65 min
#87 6 4 1.5 0 74 80 160 60 16 min
#88 892 6 12 0.5 0 61 120 60 140 25 min
#89 6 2 3.0 0 54 60 20 225 5 min
#90 6 1 6.0 0 48 160 40 60 13 min
#91 6 4 1.5 0 42 0 40 0 3 min
#92 5 0 5.0 0 78 0 240 0 11 min
#93 695 5 14 0.36 0 77 280 880 86 68 min
#94 643 5 24 0.21 0 76 180 860 10 68 min
#95 553 5 15 0.33 1 68 340 380 75 51 min
#96 624 5 11 0.45 0 65 180 400 470 38 min
#97 590 5 17 0.29 0 58 280 60 0 28 min
#98 5 2 2.5 0 43 160 60 5 14 min
#99 4 9 0.44 0 104 20 120 5 13 min
#100 4 5 0.8 0 89 80 20 165 9 min
#101 611 4 17 0.24 0 62 180 540 155 51 min
#102 647 4 24 0.17 1 41 300 420 1,110 49 min
#103 707 3 4 0.75 0 826 80 1,220 3,823 68 min
#104 755 3 23 0.13 1 145 580 540 807 69 min
#105 3 9 0.33 0 82 40 60 5 14 min
#106 730 3 10 0.3 0 72 300 540 90 55 min
#107 684 3 14 0.21 0 44 380 200 155 36 min
#108 706 3 16 0.19 0 43 160 540 75 52 min
#109 3 7 0.43 0 40 80 160 15 17 min
#110 710 3 16 0.19 0 28 200 320 0 37 min
#111 3 4 0.75 0 27 0 80 0 9 min
#112 3 2 1.5 0 22 0 60 5 4 min
#113 718 2 14 0.14 1 185 240 940 920 68 min
#114 2 3 0.67 0 86 20 200 0 13 min
#115 595 2 7 0.29 0 59 60 220 5 23 min
#116 541 2 13 0.15 1 58 20 300 0 22 min
#117 2 5 0.4 0 26 60 80 240 12 min
#118 2 3 0.67 1 24 20 100 0 10 min
#119 2 4 0.5 0 20 20 160 490 11 min
#120 426 1 4 0.25 0 374 0 1,340 5 70 min
#121 623 1 4 0.25 1 297 20 1,240 105 67 min
#122 415 1 4 0.25 0 200 0 1,340 75 71 min
#123 478 1 13 0.08 0 100 180 400 25 39 min
#124 522 1 7 0.14 2 28 140 240 225 28 min
#125 1 1 1.0 0 27 40 0 0 7 min
#126 1 3 0.33 0 11 60 200 390 16 min
#127 1 1 1.0 0 7 0 20 0 3 min
#128 1 1 1.0 0 7 0 40 0 3 min
#129 481 1 6 0.17 0 7 40 200 0 25 min
#130 632 1 10 0.1 0 5 60 300 430 27 min
#131 854 0 4 0.0 0 689 80 1,220 210 68 min
#132 529 0 3 0.0 0 401 20 1,320 260 68 min
#133 524 0 5 0.0 0 26 60 320 75 23 min
#134 596 0 11 0.0 0 21 200 460 0 40 min
#135 0 6 0.0 0 20 0 120 15 10 min
#136 0 1 0.0 0 15 0 300 0 16 min
#137 0 4 0.0 0 12 60 200 75 19 min
#138 0 0 0.0 0 12 20 120 0 9 min
#139 0 1 0.0 0 7 0 20 75 3 min
#140 0 9 0.0 0 6 20 180 0 18 min
#141 0 3 0.0 0 6 0 80 0 5 min
#142 0 2 0.0 0 6 0 80 0 8 min
#143 0 1 0.0 0 6 0 20 0 1 min
#144 519 0 12 0.0 0 6 120 140 230 31 min
#145 0 4 0.0 0 3 0 80 75 8 min
#146 0 0 0.0 0 2 20 0 0 1 min
#147 0 2 0.0 0 1 0 100 0 9 min
#148 0 0 0.0 2 1 0 40 0 3 min
#149 0 1 0.0 0 1 0 20 0 6 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 0 0 13 min
#153 0 0 0.0 0 0 0 0 0 0 min
#154 0 0 0.0 0 0 0 20 0 4 min
#155 0 1 0.0 0 0 0 0 0 0 min
#156 0 3 0.0 0 0 0 180 30 13 min
#157 0 2 0.0 0 0 20 0 0 4 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 1 0.0 0 0 20 20 0 3 min
#161 0 0 0.0 0 0 0 0 0 1 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 2 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 2 0.0 0 0 0 0 0 2 min
#167 0 0 0.0 0 0 0 0 0 1 min
#168 0 0 0.0 0 0 0 0 0 0 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 0 0 0 0 0 0 min
#173 0 0 0.0 0 0 0 120 100 6 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 20 0 2 min
#176 0 0 0.0 0 0 0 0 0 3 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 1 0.0 0 0 0 60 0 4 min
#181 0 3 0.0 0 0 100 20 0 9 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 1 min
#185 0 1 0.0 0 0 20 80 30 10 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 2 0.0 0 0 0 20 0 6 min
#188 0 0 0.0 0 0 0 0 0 0 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
#191 0 1 0.0 0 0 0 20 10 4 min
#192 0 0 0.0 0 0 0 20 0 6 min
#193 0 0 0.0 0 0 0 0 0 0 min