elalamein_offensive_ger

El Alamein Offensive Day DAK attack

11.01.2025 19:04 | Beer_2

Result

5:0

Axis wins

Players

188

Total Kills

2,224

Allied Kills

1,032

Axis Kills

1,192

Match Duration

75 min

Kills/Min

29.5

Normal Match ELO

Allies 1053.0 (all: 741.0)
Ø Match 1042.0
Axis 1031.0 (all: 738.0)

Player Statistics (188)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1312 157 2 78.5 5 1,445 160 740 0 47 min
#2 1021 107 9 11.89 0 765 180 1,140 0 71 min
#3 923 103 3 34.33 3 1,363 200 1,180 0 71 min
#4 772 73 6 12.17 3 638 240 1,040 0 71 min
#5 959 60 21 2.86 0 444 180 1,040 0 72 min
#6 990 59 12 4.92 0 450 60 1,240 30 71 min
#7 999 52 25 2.08 0 455 180 900 0 71 min
#8 1013 42 24 1.75 0 291 420 560 0 67 min
#9 735 38 32 1.19 3 305 580 500 166 71 min
#10 909 35 34 1.03 0 305 340 780 854 71 min
#11 971 35 28 1.25 0 245 340 680 230 64 min
#12 960 33 16 2.06 0 306 120 1,140 150 71 min
#13 918 33 32 1.03 0 274 140 960 155 71 min
#14 830 32 7 4.57 0 252 780 220 0 53 min
#15 739 31 40 0.78 3 253 160 980 442 72 min
#16 796 31 32 0.97 0 220 460 580 0 71 min
#17 824 31 32 0.97 0 206 160 960 60 71 min
#18 847 30 20 1.5 1 213 260 960 30 71 min
#19 1289 29 6 4.83 0 301 0 460 0 28 min
#20 763 29 23 1.26 0 188 660 480 20 71 min
#21 941 28 26 1.08 0 285 280 920 3,147 71 min
#22 644 27 3 9.0 2 1,969 440 820 0 66 min
#23 779 27 15 1.8 2 166 500 700 1,085 72 min
#24 1111 25 10 2.5 0 174 20 460 60 31 min
#25 605 24 11 2.18 0 156 60 1,160 0 67 min
#26 871 24 26 0.92 0 150 20 680 0 51 min
#27 848 23 15 1.53 1 205 220 240 30 33 min
#28 1092 23 15 1.53 0 202 60 1,060 250 71 min
#29 748 22 31 0.71 2 342 80 1,040 0 71 min
#30 669 22 26 0.85 0 162 440 700 898 71 min
#31 783 22 17 1.29 1 153 280 560 526 60 min
#32 988 22 27 0.81 0 150 420 560 150 64 min
#33 1170 21 13 1.62 0 249 0 660 1,654 40 min
#34 609 21 12 1.75 0 171 120 340 0 34 min
#35 1223 21 13 1.62 0 169 100 300 0 25 min
#36 827 21 21 1.0 0 137 280 440 165 61 min
#37 780 20 6 3.33 2 705 140 1,180 0 71 min
#38 858 20 35 0.57 1 141 520 580 390 71 min
#39 579 19 17 1.12 0 368 140 1,000 60 68 min
#40 851 19 16 1.19 0 144 0 520 0 33 min
#41 671 18 27 0.67 0 145 240 620 337 57 min
#42 749 17 33 0.52 0 143 380 680 0 71 min
#43 687 17 0 17.0 1 119 0 500 300 26 min
#44 809 17 15 1.13 0 111 60 760 0 51 min
#45 706 15 12 1.25 0 170 180 600 970 45 min
#46 797 15 35 0.43 1 107 420 600 1,108 71 min
#47 765 15 27 0.56 0 105 320 720 0 73 min
#48 794 15 21 0.71 0 90 300 660 450 67 min
#49 14 5 2.8 1 283 0 260 0 17 min
#50 862 14 14 1.0 0 199 140 480 180 39 min
#51 752 14 12 1.17 4 107 0 600 25 38 min
#52 792 14 12 1.17 0 104 60 320 30 30 min
#53 811 14 16 0.88 0 99 120 720 60 51 min
#54 711 14 36 0.39 0 96 380 620 0 71 min
#55 759 14 25 0.56 0 96 420 480 0 71 min
#56 709 13 18 0.72 0 99 480 680 10 71 min
#57 485 13 19 0.68 0 93 160 1,000 285 71 min
#58 632 13 12 1.08 0 90 240 760 0 60 min
#59 554 12 33 0.36 0 90 380 660 190 71 min
#60 586 12 24 0.5 0 85 40 580 30 52 min
#61 586 12 21 0.57 0 83 320 840 465 71 min
#62 12 4 3.0 0 75 0 200 30 14 min
#63 748 12 18 0.67 1 75 420 580 50 72 min
#64 715 11 9 1.22 0 87 800 200 115 54 min
#65 11 5 2.2 0 87 40 120 0 12 min
#66 685 11 25 0.44 0 84 120 700 125 55 min
#67 619 11 27 0.41 0 72 40 480 0 39 min
#68 906 11 10 1.1 0 69 40 380 200 26 min
#69 758 10 22 0.45 0 116 100 640 30 56 min
#70 714 10 11 0.91 0 77 100 260 75 27 min
#71 491 9 6 1.5 4 1,990 500 840 120 71 min
#72 403 9 26 0.35 0 181 80 1,060 140 71 min
#73 700 9 17 0.53 0 166 0 540 870 39 min
#74 754 9 10 0.9 1 113 20 640 1,260 54 min
#75 814 9 17 0.53 0 63 100 300 85 30 min
#76 462 9 43 0.21 0 63 60 940 673 73 min
#77 718 9 15 0.6 0 60 0 580 330 37 min
#78 690 9 22 0.41 0 60 160 780 1,312 60 min
#79 729 9 8 1.12 0 57 180 200 0 24 min
#80 909 9 30 0.3 0 50 380 680 2,500 71 min
#81 642 8 15 0.53 3 178 80 1,000 423 71 min
#82 619 8 39 0.21 0 142 280 720 105 71 min
#83 561 8 11 0.73 0 104 140 200 0 27 min
#84 621 8 36 0.22 0 64 180 540 30 56 min
#85 594 8 31 0.26 1 57 540 540 1,622 71 min
#86 424 8 14 0.57 0 51 20 320 0 25 min
#87 760 7 3 2.33 1 1,363 200 1,180 0 71 min
#88 627 7 6 1.17 2 591 280 1,080 40 71 min
#89 504 7 4 1.75 1 193 300 1,060 0 71 min
#90 633 7 9 0.78 0 167 200 320 25 35 min
#91 7 5 1.4 0 146 100 60 10 14 min
#92 714 7 6 1.17 0 65 60 340 30 25 min
#93 723 7 8 0.88 0 51 20 300 0 32 min
#94 677 7 9 0.78 0 48 20 540 0 52 min
#95 686 6 15 0.4 1 116 80 1,080 2,170 71 min
#96 724 6 14 0.43 0 45 40 340 0 28 min
#97 552 6 10 0.6 0 44 140 240 0 28 min
#98 6 3 2.0 2 39 60 120 0 10 min
#99 727 6 15 0.4 1 36 80 500 120 37 min
#100 473 5 21 0.24 0 389 220 1,000 12 71 min
#101 745 5 5 1.0 0 122 60 480 380 33 min
#102 699 5 2 2.5 0 113 280 360 100 34 min
#103 680 5 13 0.38 0 42 220 160 200 29 min
#104 593 5 25 0.2 0 39 340 640 30 71 min
#105 5 7 0.71 0 39 160 100 30 17 min
#106 692 5 11 0.45 0 36 0 360 145 32 min
#107 598 5 13 0.38 0 35 80 560 105 40 min
#108 5 3 1.67 0 24 20 100 0 10 min
#109 528 4 8 0.5 0 33 40 480 105 44 min
#110 516 4 26 0.15 0 33 280 420 20 52 min
#111 563 4 11 0.36 0 32 340 420 90 49 min
#112 4 6 0.67 0 30 100 120 120 17 min
#113 4 5 0.8 0 21 0 280 0 20 min
#114 514 3 17 0.18 0 24 220 280 240 33 min
#115 3 6 0.5 0 21 20 220 60 17 min
#116 3 3 1.0 0 18 0 180 0 16 min
#117 802 2 5 0.4 0 165 280 1,020 0 71 min
#118 488 2 2 1.0 0 62 0 620 0 32 min
#119 2 1 2.0 0 15 100 60 0 11 min
#120 2 0 2.0 0 15 0 60 0 4 min
#121 2 3 0.67 0 15 0 20 0 2 min
#122 658 2 17 0.12 0 15 0 560 55 39 min
#123 691 2 7 0.29 0 12 100 240 30 24 min
#124 687 2 18 0.11 1 9 280 340 150 45 min
#125 498 2 11 0.18 0 9 20 280 0 23 min
#126 1 9 0.11 0 29 80 160 395 20 min
#127 1 10 0.1 0 15 240 420 110 15 min
#128 1 1 1.0 0 9 40 0 30 4 min
#129 655 1 13 0.08 0 9 80 180 0 22 min
#130 1 9 0.11 0 9 0 300 0 18 min
#131 1 1 1.0 0 9 0 40 0 4 min
#132 532 1 7 0.14 0 9 0 220 0 27 min
#133 1 3 0.33 1 6 20 140 30 11 min
#134 1 1 1.0 0 6 40 240 0 17 min
#135 586 1 11 0.09 0 6 240 380 75 42 min
#136 1 5 0.2 0 6 140 80 70 15 min
#137 1 3 0.33 0 6 0 40 0 5 min
#138 678 1 21 0.05 2 6 340 680 1,147 72 min
#139 1 3 0.33 0 6 0 340 0 19 min
#140 1 4 0.25 0 6 0 20 0 5 min
#141 1 5 0.2 0 3 0 80 60 7 min
#142 1075 0 3 0.0 1 1,339 200 1,200 0 71 min
#143 0 0 0.0 0 75 320 160 0 1 min
#144 0 9 0.0 0 10 0 220 90 15 min
#145 0 2 0.0 0 6 0 300 0 17 min
#146 0 2 0.0 0 5 0 140 30 7 min
#147 0 0 0.0 0 0 0 0 0 1 min
#148 0 11 0.0 0 0 0 80 50 10 min
#149 0 1 0.0 0 0 40 20 0 3 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 0 0 1 min
#152 0 4 0.0 0 0 0 180 0 13 min
#153 0 3 0.0 0 0 0 20 0 8 min
#154 0 3 0.0 0 0 0 100 120 12 min
#155 0 0 0.0 0 0 0 0 0 1 min
#156 0 1 0.0 0 0 20 100 0 9 min
#157 0 3 0.0 0 0 20 120 0 12 min
#158 0 1 0.0 0 0 0 40 0 5 min
#159 555 0 2 0.0 0 0 0 160 0 31 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 17 0.0 0 0 0 140 110 17 min
#165 0 1 0.0 0 0 20 0 0 3 min
#166 444 0 14 0.0 0 0 0 480 210 34 min
#167 0 0 0.0 0 0 0 0 0 1 min
#168 0 3 0.0 0 0 0 200 60 11 min
#169 0 4 0.0 0 0 40 100 0 13 min
#170 0 0 0.0 0 0 0 0 0 1 min
#171 0 7 0.0 0 0 20 120 0 11 min
#172 0 2 0.0 0 0 0 40 0 4 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 1 0.0 0 0 0 80 0 8 min
#175 0 6 0.0 0 0 0 180 60 15 min
#176 0 2 0.0 0 0 0 160 30 11 min
#177 0 0 0.0 0 0 0 0 0 1 min
#178 0 1 0.0 0 0 20 40 0 3 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 8 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 1 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 3 0.0 0 0 0 40 0 6 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 12 0.0 0 0 0 200 0 19 min
#188 0 0 0.0 0 0 0 0 0 0 min