elalamein_warfare_night

El Alamein Warfare Dusk

18.09.2025 19:40 | [GER] Sandkasten der 106. Panzerbrigade

Result

0:5

Allied wins

Players

189

Total Kills

2,261

Allied Kills

1,243

Axis Kills

1,018

Match Duration

85 min

Kills/Min

26.8

High Match ELO

Allies 1423.0 (all: 849.0)
Ø Match 1244.0
Axis 1066.0 (all: 784.0)
Highly imbalanced

Player Statistics (189)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1972 82 31 2.65 0 902 600 700 100 80 min
#2 1514 71 28 2.54 1 1,771 580 640 35 80 min
#3 1480 65 29 2.24 0 1,122 640 640 300 80 min
#4 1132 55 35 1.57 0 1,315 660 440 180 80 min
#5 1012 55 42 1.31 0 847 420 680 140 81 min
#6 1109 52 5 10.4 4 1,307 60 1,440 65 80 min
#7 1066 48 27 1.78 0 813 280 900 170 81 min
#8 985 48 21 2.29 0 512 300 820 215 81 min
#9 1313 45 37 1.22 0 906 640 660 2,734 80 min
#10 987 44 18 2.44 0 496 300 860 35 74 min
#11 1110 43 30 1.43 0 962 400 860 135 80 min
#12 1299 41 25 1.64 1 1,896 1,160 220 630 80 min
#13 1118 38 17 2.24 1 614 260 740 250 68 min
#14 1682 37 12 3.08 0 409 240 540 165 49 min
#15 875 37 33 1.12 1 389 380 780 516 75 min
#16 1162 34 35 0.97 0 530 140 1,040 807 81 min
#17 845 34 28 1.21 0 507 460 700 270 80 min
#18 958 33 27 1.22 0 582 380 780 475 74 min
#19 997 33 35 0.94 1 338 700 400 205 79 min
#20 857 32 33 0.97 1 441 160 660 20 68 min
#21 830 32 29 1.1 0 347 0 1,260 348 81 min
#22 659 31 19 1.63 1 426 400 800 105 76 min
#23 1319 27 26 1.04 1 322 700 280 642 71 min
#24 972 26 15 1.73 0 937 20 1,400 3,809 80 min
#25 937 26 17 1.53 0 617 300 1,060 20 82 min
#26 795 26 25 1.04 0 338 380 400 10 53 min
#27 695 25 28 0.89 0 443 280 1,020 562 80 min
#28 691 25 12 2.08 0 223 20 540 25 35 min
#29 960 24 33 0.73 0 687 700 260 275 80 min
#30 1065 24 24 1.0 0 354 140 500 276 50 min
#31 887 22 40 0.55 0 746 140 980 1,736 80 min
#32 979 22 24 0.92 2 454 520 380 410 63 min
#33 876 22 13 1.69 0 365 240 1,200 40 80 min
#34 779 22 14 1.57 0 261 60 1,340 135 81 min
#35 817 21 28 0.75 0 531 660 260 185 81 min
#36 663 21 41 0.51 0 234 460 460 15 74 min
#37 906 21 26 0.81 1 210 0 1,320 773 80 min
#38 606 21 8 2.62 0 179 120 620 10 45 min
#39 770 20 18 1.11 0 346 160 920 1,240 73 min
#40 749 20 21 0.95 0 340 600 500 675 81 min
#41 752 20 22 0.91 0 290 500 620 839 75 min
#42 552 20 32 0.62 0 199 560 300 25 66 min
#43 660 20 18 1.11 0 187 460 340 87 60 min
#44 524 19 18 1.06 1 829 280 940 145 84 min
#45 715 19 23 0.83 0 271 420 620 180 72 min
#46 821 19 30 0.63 0 206 420 540 320 75 min
#47 806 18 34 0.53 0 408 220 620 205 59 min
#48 700 18 13 1.38 0 334 700 740 25 81 min
#49 907 17 19 0.89 0 297 720 440 716 80 min
#50 778 17 19 0.89 0 181 680 540 371 82 min
#51 643 17 4 4.25 0 173 120 360 5 30 min
#52 913 17 12 1.42 0 166 40 540 25 38 min
#53 919 16 33 0.48 0 249 180 760 2,140 81 min
#54 894 15 8 1.88 1 755 180 1,220 1,315 80 min
#55 896 15 25 0.6 0 645 640 480 2,361 80 min
#56 744 15 13 1.15 0 202 300 320 20 41 min
#57 739 15 16 0.94 0 150 160 440 605 53 min
#58 727 15 10 1.5 0 138 40 500 266 34 min
#59 678 14 19 0.74 0 290 400 800 340 75 min
#60 1001 14 32 0.44 0 237 560 520 915 80 min
#61 609 14 21 0.67 0 195 460 780 30 80 min
#62 676 14 6 2.33 0 163 60 980 390 59 min
#63 1405 14 11 1.27 0 142 80 280 195 26 min
#64 14 8 1.75 0 107 200 40 0 17 min
#65 723 13 13 1.0 0 1,680 460 960 150 80 min
#66 906 13 13 1.0 0 387 60 700 485 47 min
#67 690 13 36 0.36 0 174 200 1,000 1,851 81 min
#68 658 13 11 1.18 0 157 180 800 45 59 min
#69 13 3 4.33 0 151 200 40 5 15 min
#70 698 12 20 0.6 0 363 280 500 360 58 min
#71 929 11 8 1.38 0 709 500 140 20 39 min
#72 537 11 10 1.1 0 315 560 200 5 47 min
#73 862 11 24 0.46 1 313 880 420 2,055 81 min
#74 978 11 11 1.0 1 124 160 500 160 40 min
#75 796 11 10 1.1 0 111 40 320 43 28 min
#76 549 10 6 1.67 0 938 1,020 260 1,964 73 min
#77 982 10 3 3.33 2 407 120 600 190 36 min
#78 518 10 20 0.5 0 166 280 620 165 58 min
#79 632 10 17 0.59 0 148 100 280 20 31 min
#80 662 9 15 0.6 0 618 180 1,200 2,139 81 min
#81 658 9 32 0.28 0 249 340 760 105 81 min
#82 475 9 13 0.69 0 138 440 900 50 80 min
#83 549 9 6 1.5 0 105 140 580 170 46 min
#84 640 9 2 4.5 0 100 0 460 15 26 min
#85 535 9 16 0.56 0 99 280 220 5 36 min
#86 9 7 1.29 0 89 80 120 100 16 min
#87 844 8 6 1.33 0 267 480 20 25 31 min
#88 615 8 24 0.33 0 147 240 1,000 879 81 min
#89 755 8 9 0.89 0 112 160 540 365 41 min
#90 583 8 9 0.89 0 98 100 580 5 38 min
#91 883 8 11 0.73 0 77 20 220 180 32 min
#92 550 7 19 0.37 0 86 20 600 5 45 min
#93 589 7 19 0.37 0 84 420 540 280 63 min
#94 732 7 8 0.88 0 81 180 80 10 20 min
#95 588 7 23 0.3 0 70 260 380 121 48 min
#96 779 6 16 0.38 0 347 240 1,140 245 80 min
#97 6 7 0.86 0 69 0 200 105 16 min
#98 645 6 21 0.29 0 68 280 520 155 52 min
#99 614 6 3 2.0 0 66 100 220 20 34 min
#100 766 6 2 3.0 0 54 120 140 30 24 min
#101 592 5 2 2.5 0 405 120 620 0 36 min
#102 498 5 18 0.28 1 333 800 940 100 80 min
#103 831 5 4 1.25 0 131 100 220 125 23 min
#104 589 5 14 0.36 0 101 40 460 255 37 min
#105 701 5 8 0.62 0 89 240 580 401 49 min
#106 5 6 0.83 0 49 20 100 0 13 min
#107 5 4 1.25 0 49 60 40 0 10 min
#108 4 1 4.0 0 181 20 160 5 15 min
#109 450 4 20 0.2 2 72 460 800 1,852 81 min
#110 646 4 9 0.44 0 57 240 160 120 27 min
#111 4 9 0.44 0 47 100 120 230 18 min
#112 4 0 4.0 0 46 0 140 0 10 min
#113 502 4 17 0.24 0 39 100 100 80 24 min
#114 4 5 0.8 0 36 260 0 15 17 min
#115 4 10 0.4 0 29 60 80 80 16 min
#116 736 3 6 0.5 0 1,213 80 1,420 150 80 min
#117 3 2 1.5 0 213 40 140 0 13 min
#118 3 1 3.0 1 198 40 80 0 9 min
#119 882 3 8 0.38 1 176 200 800 180 61 min
#120 3 5 0.6 0 36 80 100 20 17 min
#121 573 3 20 0.15 0 33 0 1,240 280 80 min
#122 3 5 0.6 0 33 200 40 5 19 min
#123 3 2 1.5 0 32 60 20 0 8 min
#124 3 3 1.0 0 30 40 60 0 17 min
#125 828 3 3 1.0 0 28 120 320 0 25 min
#126 590 3 5 0.6 0 22 0 320 5 22 min
#127 461 3 13 0.23 1 21 320 520 165 64 min
#128 2 1 2.0 0 163 40 60 0 10 min
#129 2 3 0.67 1 67 0 180 10 14 min
#130 710 2 7 0.29 0 28 220 100 150 23 min
#131 668 2 4 0.5 0 25 20 360 0 22 min
#132 634 2 12 0.17 0 23 240 260 5 32 min
#133 2 3 0.67 0 22 0 160 0 11 min
#134 2 4 0.5 0 16 20 60 0 12 min
#135 438 1 22 0.05 0 100 320 260 935 53 min
#136 1 2 0.5 0 18 0 140 0 10 min
#137 1 3 0.33 0 14 40 0 0 6 min
#138 1 4 0.25 0 13 80 140 0 17 min
#139 1 2 0.5 0 11 0 40 0 4 min
#140 1 2 0.5 0 11 40 20 0 7 min
#141 1 1 1.0 0 9 0 40 0 4 min
#142 1 4 0.25 0 7 60 60 0 9 min
#143 1 2 0.5 0 7 0 60 30 16 min
#144 1 8 0.12 1 6 60 180 30 18 min
#145 769 0 5 0.0 1 1,159 60 1,460 300 80 min
#146 0 6 0.0 0 14 0 140 0 13 min
#147 0 4 0.0 0 9 0 100 0 9 min
#148 0 2 0.0 0 7 0 120 80 10 min
#149 0 2 0.0 0 7 0 80 0 6 min
#150 0 7 0.0 0 4 40 220 0 17 min
#151 668 0 3 0.0 0 4 0 380 0 23 min
#152 0 3 0.0 0 2 0 80 0 9 min
#153 0 3 0.0 0 1 20 280 0 18 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 0 0.0 0 0 0 0 0 5 min
#156 0 3 0.0 0 0 20 40 10 7 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 0 0.0 0 0 0 20 0 2 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 1 0.0 0 0 20 0 0 10 min
#161 0 1 0.0 0 0 0 80 0 6 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 1 0.0 0 0 0 0 0 4 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 2 min
#167 0 0 0.0 0 0 0 0 0 7 min
#168 0 0 0.0 0 0 0 0 0 2 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 0 0 0 3 min
#171 0 0 0.0 0 0 0 20 0 4 min
#172 0 0 0.0 0 0 0 0 0 1 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 0 0 1 min
#175 0 1 0.0 0 0 0 0 0 3 min
#176 750 0 2 0.0 0 0 0 280 0 26 min
#177 0 0 0.0 0 0 0 60 0 3 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 1 0.0 0 0 0 0 10 2 min
#182 0 1 0.0 0 0 0 80 0 6 min
#183 0 1 0.0 0 0 40 0 0 4 min
#184 0 0 0.0 0 0 0 0 0 1 min
#185 0 0 0.0 0 0 0 0 0 3 min
#186 0 0 0.0 0 0 0 0 0 4 min
#187 0 1 0.0 0 0 0 0 0 1 min
#188 0 0 0.0 0 0 0 0 0 2 min
#189 0 1 0.0 0 0 0 40 0 5 min