elalamein_warfare

El Alamein Warfare Day

08.10.2025 19:08 | [GER] Sandkasten der 106. Panzerbrigade

Result

3:2

Axis wins

Players

180

Total Kills

2,512

Allied Kills

1,197

Axis Kills

1,315

Match Duration

90 min

Kills/Min

27.9

High Match ELO

Allies 1210.0 (all: 806.0)
Ø Match 1297.0
Axis 1384.0 (all: 826.0)
Imbalanced

Player Statistics (180)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1680 98 32 3.06 1 1,928 780 540 120 83 min
#2 1413 93 25 3.72 0 1,128 200 1,060 25 82 min
#3 1656 92 26 3.54 0 952 600 700 170 83 min
#4 754 68 5 13.6 2 1,739 300 1,260 75 83 min
#5 1583 65 23 2.83 0 664 960 440 259 84 min
#6 1299 63 34 1.85 0 765 380 980 1,441 88 min
#7 1085 63 27 2.33 0 663 60 1,260 450 84 min
#8 1474 55 16 3.44 0 803 500 300 90 55 min
#9 1043 52 19 2.74 0 840 560 780 120 82 min
#10 640 52 8 6.5 4 655 360 1,260 2,777 87 min
#11 1729 50 32 1.56 0 972 820 500 1,874 83 min
#12 984 48 33 1.45 0 1,296 260 940 233 83 min
#13 943 47 19 2.47 1 1,278 360 1,020 60 83 min
#14 753 45 28 1.61 0 498 380 820 215 86 min
#15 1300 44 19 2.32 0 459 480 780 200 74 min
#16 1063 42 26 1.62 0 721 760 380 65 84 min
#17 1144 42 22 1.91 0 669 520 620 484 69 min
#18 1253 38 32 1.19 0 761 760 340 637 83 min
#19 1014 35 47 0.74 0 935 800 320 385 81 min
#20 815 35 26 1.35 0 398 960 420 95 86 min
#21 806 34 32 1.06 0 523 540 680 295 84 min
#22 994 34 25 1.36 0 385 400 1,000 1,820 87 min
#23 1020 31 21 1.48 0 466 500 880 1,780 81 min
#24 573 30 12 2.5 0 1,724 660 840 25 82 min
#25 806 30 42 0.71 0 368 520 660 75 83 min
#26 656 29 5 5.8 0 797 180 1,340 25 80 min
#27 1030 28 31 0.9 0 512 420 960 985 86 min
#28 939 28 22 1.27 0 390 460 920 600 82 min
#29 807 27 16 1.69 1 832 200 1,260 3,540 88 min
#30 840 27 35 0.77 0 406 500 780 220 84 min
#31 514 27 30 0.9 1 352 320 780 260 75 min
#32 793 27 11 2.45 0 328 200 860 1,555 82 min
#33 1228 26 25 1.04 0 336 340 460 195 65 min
#34 878 24 22 1.09 0 429 160 1,020 912 74 min
#35 931 24 22 1.09 0 360 920 260 653 75 min
#36 799 24 25 0.96 0 276 160 1,060 100 78 min
#37 654 23 16 1.44 2 199 200 880 646 67 min
#38 671 22 31 0.71 0 518 580 740 755 82 min
#39 607 21 22 0.95 0 392 180 1,040 500 76 min
#40 853 21 29 0.72 0 262 1,040 320 597 86 min
#41 831 21 21 1.0 0 225 320 660 45 60 min
#42 872 21 40 0.53 0 196 320 720 820 76 min
#43 929 20 22 0.91 0 478 600 640 681 78 min
#44 552 19 38 0.5 0 374 400 700 300 82 min
#45 860 19 25 0.76 0 259 440 720 430 83 min
#46 849 19 27 0.7 0 250 280 660 170 70 min
#47 720 19 36 0.53 0 219 180 960 560 83 min
#48 639 19 22 0.86 0 191 860 0 45 61 min
#49 1454 18 8 2.25 0 285 180 200 215 24 min
#50 1073 18 10 1.8 0 236 360 240 345 35 min
#51 1021 18 16 1.12 0 173 200 400 65 38 min
#52 904 18 15 1.2 0 153 520 220 1,000 46 min
#53 687 18 8 2.25 2 146 160 1,320 790 86 min
#54 578 17 30 0.57 0 330 380 840 90 83 min
#55 825 17 41 0.41 0 263 120 980 580 87 min
#56 890 17 13 1.31 0 204 240 500 10 51 min
#57 676 17 10 1.7 0 149 180 340 70 36 min
#58 1154 16 9 1.78 0 531 320 140 65 28 min
#59 925 16 22 0.73 0 275 300 420 373 48 min
#60 969 16 20 0.8 0 183 360 400 15 55 min
#61 556 15 31 0.48 0 222 200 900 1,165 83 min
#62 819 15 25 0.6 0 214 380 1,040 1,475 87 min
#63 457 15 31 0.48 0 162 160 560 105 54 min
#64 688 15 22 0.68 0 129 360 880 335 88 min
#65 671 14 35 0.4 0 298 540 640 1,887 84 min
#66 764 14 27 0.52 0 261 460 500 120 66 min
#67 1184 14 10 1.4 1 181 80 240 80 33 min
#68 789 14 16 0.88 0 168 500 220 620 45 min
#69 482 13 15 0.87 4 233 220 940 230 67 min
#70 1070 13 18 0.72 0 173 60 340 475 35 min
#71 757 12 31 0.39 0 186 80 1,140 1,951 83 min
#72 612 11 19 0.58 0 127 460 400 65 56 min
#73 609 11 21 0.52 0 109 360 560 390 71 min
#74 861 10 19 0.53 0 413 980 0 425 63 min
#75 852 10 11 0.91 0 189 100 480 1,889 46 min
#76 793 10 14 0.71 0 164 400 340 430 47 min
#77 10 8 1.25 0 90 0 120 120 12 min
#78 787 10 13 0.77 0 87 20 360 385 27 min
#79 1017 9 13 0.69 0 101 60 280 265 27 min
#80 801 9 16 0.56 0 96 120 600 451 50 min
#81 9 7 1.29 1 94 60 220 80 19 min
#82 782 8 7 1.14 0 159 80 240 95 21 min
#83 510 8 14 0.57 0 155 320 640 25 65 min
#84 506 8 14 0.57 0 108 440 140 100 46 min
#85 1166 8 6 1.33 0 90 120 200 75 26 min
#86 8 1 8.0 0 85 0 60 0 4 min
#87 1166 8 12 0.67 0 81 40 200 514 23 min
#88 757 7 21 0.33 0 371 360 1,020 516 83 min
#89 822 7 12 0.58 0 156 40 380 160 34 min
#90 679 7 12 0.58 0 133 60 420 30 32 min
#91 579 7 34 0.21 0 131 260 860 1,270 83 min
#92 859 7 32 0.22 1 121 280 500 1,283 66 min
#93 569 7 27 0.26 0 98 140 760 110 68 min
#94 7 6 1.17 0 63 0 140 5 12 min
#95 577 6 6 1.0 0 1,233 260 1,280 2,141 85 min
#96 6 10 0.6 0 380 140 100 0 18 min
#97 554 6 17 0.35 0 165 340 120 5 34 min
#98 6 8 0.75 0 80 40 180 90 19 min
#99 755 6 18 0.33 0 65 120 200 0 30 min
#100 6 4 1.5 0 50 100 80 80 12 min
#101 835 6 13 0.46 0 42 40 500 30 34 min
#102 5 7 0.71 0 264 100 120 10 15 min
#103 709 5 17 0.29 1 99 0 420 30 32 min
#104 5 6 0.83 0 62 80 160 88 18 min
#105 631 5 6 0.83 0 54 40 320 155 21 min
#106 660 4 14 0.29 0 810 420 980 250 83 min
#107 561 4 12 0.33 0 64 120 320 55 39 min
#108 4 3 1.33 0 56 120 100 15 15 min
#109 4 2 2.0 0 48 200 120 395 18 min
#110 4 7 0.57 0 42 0 180 45 16 min
#111 4 7 0.57 0 41 100 100 20 15 min
#112 651 3 9 0.33 0 38 140 180 5 25 min
#113 628 3 12 0.25 0 31 280 280 15 43 min
#114 594 3 16 0.19 0 29 240 300 150 50 min
#115 3 8 0.38 0 25 200 60 10 19 min
#116 620 2 5 0.4 1 1,546 280 1,260 160 82 min
#117 644 2 7 0.29 0 779 180 1,300 215 80 min
#118 549 2 3 0.67 0 515 140 1,160 140 71 min
#119 2 3 0.67 0 22 0 140 160 12 min
#120 729 2 9 0.22 0 22 220 220 0 34 min
#121 491 2 40 0.05 0 21 260 1,000 1,168 84 min
#122 428 2 9 0.22 0 20 100 380 80 30 min
#123 2 1 2.0 0 14 0 80 0 13 min
#124 597 1 5 0.2 0 1,681 300 1,280 435 83 min
#125 1 0 1.0 0 198 0 240 5 14 min
#126 1 0 1.0 0 179 0 240 0 14 min
#127 455 1 5 0.2 0 162 440 280 0 43 min
#128 1 2 0.5 0 67 140 40 80 12 min
#129 553 1 14 0.07 0 31 220 560 1,015 49 min
#130 469 1 18 0.06 0 30 440 200 110 47 min
#131 769 1 18 0.06 0 29 320 340 95 47 min
#132 730 1 8 0.12 0 25 240 220 75 34 min
#133 1 3 0.33 0 22 0 100 80 10 min
#134 871 1 15 0.07 1 22 60 380 305 33 min
#135 762 1 7 0.14 0 20 20 300 0 21 min
#136 405 1 12 0.08 0 20 20 460 75 32 min
#137 1 6 0.17 0 16 0 100 40 9 min
#138 1 1 1.0 0 14 0 80 45 13 min
#139 1 1 1.0 0 14 40 20 0 9 min
#140 1 9 0.11 2 11 0 160 0 15 min
#141 1 0 1.0 0 10 40 20 0 5 min
#142 430 1 8 0.12 0 9 400 280 10 50 min
#143 1 3 0.33 0 9 20 40 5 6 min
#144 1 2 0.5 0 4 0 60 0 4 min
#145 496 0 13 0.0 0 1,951 660 860 155 82 min
#146 0 0 0.0 0 218 240 180 230 0 min
#147 0 0 0.0 0 102 0 200 0 12 min
#148 643 0 7 0.0 0 58 200 200 30 30 min
#149 528 0 20 0.0 0 31 600 760 845 85 min
#150 0 0 0.0 0 8 40 80 10 8 min
#151 0 5 0.0 0 5 0 220 105 16 min
#152 0 3 0.0 0 4 120 0 0 12 min
#153 0 4 0.0 0 4 160 80 80 17 min
#154 0 0 0.0 0 3 0 40 0 4 min
#155 0 5 0.0 0 3 0 120 60 12 min
#156 0 0 0.0 0 3 0 40 0 3 min
#157 0 2 0.0 0 2 100 0 0 7 min
#158 0 2 0.0 0 2 0 200 0 15 min
#159 0 4 0.0 0 2 180 60 75 19 min
#160 0 4 0.0 0 0 0 60 0 10 min
#161 0 0 0.0 0 0 0 0 0 2 min
#162 0 0 0.0 0 0 0 20 0 5 min
#163 0 0 0.0 5 0 0 140 0 14 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 0 0.0 0 0 0 0 0 2 min
#167 0 0 0.0 0 0 0 0 0 2 min
#168 0 1 0.0 0 0 20 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 2 min
#171 0 4 0.0 0 0 80 140 0 16 min
#172 0 1 0.0 0 0 0 60 0 5 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 20 0 2 min
#175 0 0 0.0 0 0 0 0 0 8 min
#176 0 0 0.0 0 0 0 0 0 1 min
#177 0 0 0.0 0 0 0 0 0 4 min
#178 0 0 0.0 12 0 0 120 0 7 min
#179 0 4 0.0 0 0 0 140 0 14 min
#180 0 9 0.0 0 0 0 100 45 15 min