elalamein_warfare

El Alamein Warfare Day

18.11.2025 20:09 | [GER] Sandkasten der 106. Panzerbrigade

Result

2:3

Allied wins

Players

193

Total Kills

2,698

Allied Kills

1,342

Axis Kills

1,356

Match Duration

90 min

Kills/Min

30.0

High Match ELO

Allies 1105.0 (all: 794.0)
Ø Match 1209.0
Axis 1314.0 (all: 783.0)
Highly imbalanced

Player Statistics (193)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1713 101 32 3.16 0 1,940 920 300 60 85 min
#2 1000 79 27 2.93 3 1,096 260 980 1,990 85 min
#3 1349 74 24 3.08 0 1,026 1,180 300 200 85 min
#4 1571 73 20 3.65 0 650 380 500 1,120 59 min
#5 1251 71 23 3.09 0 712 140 800 105 67 min
#6 1161 64 17 3.76 0 1,236 1,400 120 150 85 min
#7 1325 55 36 1.53 0 944 440 580 820 74 min
#8 926 55 30 1.83 0 593 300 1,020 550 85 min
#9 1564 48 34 1.41 0 1,060 960 420 837 85 min
#10 1083 47 23 2.04 0 744 800 560 235 85 min
#11 1018 46 33 1.39 0 1,324 520 780 3,060 85 min
#12 762 44 12 3.67 1 1,628 880 720 10 85 min
#13 876 42 32 1.31 0 460 360 960 3,180 85 min
#14 973 41 11 3.73 0 962 1,560 80 301 85 min
#15 798 39 18 2.17 3 429 40 1,020 25 62 min
#16 979 38 40 0.95 0 837 620 700 280 85 min
#17 948 37 19 1.95 1 451 420 960 85 85 min
#18 706 35 38 0.92 1 434 500 720 990 85 min
#19 1008 34 32 1.06 0 738 200 1,200 211 88 min
#20 892 34 17 2.0 0 466 1,060 300 309 78 min
#21 922 34 35 0.97 1 438 340 520 160 63 min
#22 1147 34 36 0.94 0 418 440 840 2,709 85 min
#23 970 33 46 0.72 1 487 340 940 640 85 min
#24 732 33 18 1.83 0 377 540 900 445 85 min
#25 931 32 28 1.14 0 550 160 840 65 65 min
#26 842 32 11 2.91 2 354 140 880 155 55 min
#27 906 31 30 1.03 0 493 360 880 20 85 min
#28 912 29 14 2.07 0 824 300 540 0 51 min
#29 896 29 32 0.91 0 398 560 460 580 77 min
#30 902 28 48 0.58 0 535 660 540 85 85 min
#31 856 28 28 1.0 0 313 680 700 605 85 min
#32 1074 28 28 1.0 0 265 300 620 1,300 85 min
#33 850 27 40 0.68 0 415 140 1,140 1,135 85 min
#34 1096 27 17 1.59 0 293 340 320 35 44 min
#35 877 27 27 1.0 2 286 200 1,100 2,910 85 min
#36 1015 26 11 2.36 0 409 160 840 85 57 min
#37 839 26 18 1.44 0 307 240 560 30 52 min
#38 798 26 30 0.87 1 265 100 720 963 60 min
#39 725 25 13 1.92 2 640 100 440 105 43 min
#40 849 25 30 0.83 0 458 580 820 195 85 min
#41 751 24 25 0.96 0 614 520 860 550 85 min
#42 829 24 25 0.96 0 512 640 120 145 52 min
#43 1003 24 23 1.04 1 259 500 40 560 38 min
#44 989 23 29 0.79 0 618 900 320 485 78 min
#45 1147 23 29 0.79 2 598 500 480 300 65 min
#46 981 23 36 0.64 1 526 100 680 235 60 min
#47 772 23 35 0.66 1 470 340 780 870 80 min
#48 673 22 12 1.83 0 639 1,440 180 217 85 min
#49 1013 22 31 0.71 0 558 1,260 200 969 85 min
#50 1120 22 21 1.05 0 239 420 320 145 46 min
#51 857 19 19 1.0 0 722 260 840 270 66 min
#52 734 19 40 0.47 0 384 320 660 450 74 min
#53 1059 19 20 0.95 0 259 260 380 731 47 min
#54 1536 19 11 1.73 0 230 320 140 110 37 min
#55 662 18 15 1.2 0 304 40 1,280 30 74 min
#56 770 18 27 0.67 1 275 80 1,420 3,512 88 min
#57 507 18 25 0.72 0 219 220 1,060 40 85 min
#58 850 18 9 2.0 0 188 0 460 40 28 min
#59 1217 17 6 2.83 0 596 80 280 45 27 min
#60 775 17 5 3.4 2 574 180 380 970 34 min
#61 921 17 12 1.42 0 195 60 380 35 30 min
#62 654 17 16 1.06 1 194 240 780 110 78 min
#63 576 17 27 0.63 0 164 220 1,040 1,730 83 min
#64 790 16 31 0.52 0 192 340 680 40 68 min
#65 550 16 19 0.84 0 168 500 220 55 52 min
#66 16 5 3.2 0 165 20 160 10 12 min
#67 806 15 20 0.75 0 627 640 640 105 86 min
#68 940 15 6 2.5 0 373 220 160 640 23 min
#69 803 15 12 1.25 0 353 160 300 135 38 min
#70 768 15 15 1.0 0 235 300 540 200 57 min
#71 755 15 33 0.45 1 221 600 560 240 81 min
#72 711 15 43 0.35 0 191 280 940 1,497 85 min
#73 646 15 13 1.15 0 175 60 540 251 43 min
#74 839 14 9 1.56 0 1,843 900 740 560 85 min
#75 786 14 28 0.5 0 280 460 840 1,096 85 min
#76 844 14 8 1.75 0 205 240 140 25 30 min
#77 591 14 15 0.93 0 165 0 1,540 0 86 min
#78 701 13 11 1.18 1 342 60 700 505 50 min
#79 610 13 18 0.72 0 130 280 200 5 38 min
#80 484 12 29 0.41 0 164 380 720 155 85 min
#81 761 11 15 0.73 0 249 280 180 15 39 min
#82 781 11 11 1.0 1 187 220 140 10 30 min
#83 444 11 28 0.39 0 117 440 820 360 83 min
#84 627 11 20 0.55 0 109 60 380 150 31 min
#85 764 11 20 0.55 1 102 280 40 5 27 min
#86 840 10 15 0.67 1 356 220 180 395 34 min
#87 789 10 14 0.71 0 129 320 140 395 33 min
#88 531 10 6 1.67 0 99 0 700 155 46 min
#89 670 10 18 0.56 0 99 160 280 333 37 min
#90 647 10 15 0.67 2 76 160 120 45 21 min
#91 846 9 17 0.53 0 341 280 980 25 75 min
#92 638 9 12 0.75 0 254 240 980 927 68 min
#93 576 9 13 0.69 0 119 320 1,040 75 85 min
#94 544 9 21 0.43 0 107 300 800 1,205 67 min
#95 676 9 21 0.43 0 101 20 900 20 63 min
#96 918 9 8 1.12 0 93 100 480 595 36 min
#97 667 8 13 0.62 0 703 1,520 60 381 85 min
#98 8 3 2.67 1 316 100 180 0 18 min
#99 492 8 8 1.0 0 313 380 300 0 44 min
#100 603 8 18 0.44 1 123 560 680 250 85 min
#101 685 8 8 1.0 0 116 60 360 0 25 min
#102 521 7 27 0.26 0 176 260 860 30 74 min
#103 474 7 19 0.37 0 133 160 560 0 49 min
#104 506 7 32 0.22 0 130 120 1,200 1,059 87 min
#105 420 7 28 0.25 0 108 160 960 270 76 min
#106 615 7 28 0.25 0 107 220 1,000 668 88 min
#107 588 7 13 0.54 0 80 160 560 75 48 min
#108 653 7 12 0.58 0 73 20 240 75 23 min
#109 6 0 6.0 0 194 0 140 0 7 min
#110 6 6 1.0 0 77 200 80 135 19 min
#111 569 6 17 0.35 0 65 240 320 0 47 min
#112 868 5 2 2.5 0 754 560 260 10 46 min
#113 478 5 36 0.14 1 126 400 820 195 85 min
#114 424 5 16 0.31 0 89 120 660 80 53 min
#115 778 5 7 0.71 0 53 200 80 90 22 min
#116 575 5 11 0.45 1 45 0 400 305 32 min
#117 4 1 4.0 0 94 0 80 5 4 min
#118 655 4 11 0.36 0 53 360 220 654 37 min
#119 506 4 6 0.67 0 47 0 340 185 22 min
#120 486 4 19 0.21 0 38 220 100 5 26 min
#121 467 3 17 0.18 0 42 120 460 20 41 min
#122 578 3 15 0.2 0 41 40 380 0 33 min
#123 838 3 14 0.21 0 36 80 180 0 26 min
#124 3 8 0.38 0 28 60 100 5 17 min
#125 3 3 1.0 1 28 80 40 45 10 min
#126 3 8 0.38 0 23 80 120 165 16 min
#127 2 1 2.0 0 103 200 20 85 18 min
#128 534 2 16 0.12 0 87 0 860 242 58 min
#129 469 2 13 0.15 0 56 0 780 80 53 min
#130 2 4 0.5 0 26 40 60 0 11 min
#131 2 2 1.0 0 25 0 0 0 5 min
#132 2 3 0.67 4 25 40 240 190 19 min
#133 2 5 0.4 0 18 60 40 5 12 min
#134 614 1 4 0.25 0 298 260 440 0 39 min
#135 1 0 1.0 0 160 40 0 140 2 min
#136 1 3 0.33 0 110 60 60 0 9 min
#137 694 1 1 1.0 0 32 120 300 0 26 min
#138 508 1 10 0.1 0 19 20 380 1,020 35 min
#139 1 7 0.14 0 15 40 100 0 13 min
#140 1 2 0.5 0 15 40 60 10 8 min
#141 451 1 6 0.17 1 14 0 520 470 31 min
#142 1 2 0.5 0 10 0 100 30 7 min
#143 1 1 1.0 0 10 20 40 0 10 min
#144 1 4 0.25 3 9 0 240 75 16 min
#145 1 3 0.33 0 3 40 60 5 9 min
#146 510 0 4 0.0 0 297 260 480 25 39 min
#147 0 0 0.0 0 187 0 160 15 7 min
#148 0 1 0.0 0 50 0 80 0 9 min
#149 438 0 9 0.0 7 13 80 500 212 48 min
#150 0 3 0.0 0 10 40 60 20 14 min
#151 0 9 0.0 0 9 60 220 160 19 min
#152 0 2 0.0 0 8 40 60 15 9 min
#153 0 0 0.0 0 6 0 120 75 12 min
#154 0 4 0.0 0 5 60 40 0 9 min
#155 513 0 21 0.0 0 5 160 660 800 55 min
#156 0 2 0.0 0 5 0 100 25 12 min
#157 0 2 0.0 0 3 80 80 0 10 min
#158 636 0 8 0.0 0 2 0 860 0 49 min
#159 0 1 0.0 0 2 0 0 75 3 min
#160 0 1 0.0 0 2 40 20 0 6 min
#161 0 1 0.0 0 1 0 220 0 16 min
#162 0 0 0.0 0 1 0 40 0 5 min
#163 0 1 0.0 0 1 0 0 0 3 min
#164 0 5 0.0 0 1 80 20 0 10 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 1 0.0 0 0 0 0 0 4 min
#167 0 0 0.0 0 0 0 60 0 4 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 20 0 3 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 1 0.0 1 0 0 100 0 13 min
#173 0 1 0.0 0 0 0 0 0 3 min
#174 0 0 0.0 0 0 0 380 0 20 min
#175 0 0 0.0 0 0 0 0 0 8 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 0 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 3 0.0 0 0 0 140 210 10 min
#182 0 0 0.0 0 0 0 0 0 1 min
#183 0 0 0.0 0 0 0 0 0 1 min
#184 0 0 0.0 0 0 0 80 0 10 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 0 0.0 0 0 0 140 0 12 min
#187 0 0 0.0 0 0 0 0 0 0 min
#188 0 0 0.0 0 0 0 40 0 3 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 0 0.0 0 0 0 0 0 2 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 0 0.0 0 0 0 0 0 0 min
#193 0 0 0.0 0 0 0 0 0 0 min