elalamein_warfare

El Alamein Warfare Day

04.09.2025 18:55 | [GER] Sandkasten der 106. Panzerbrigade

Result

3:2

Axis wins

Players

172

Total Kills

2,544

Allied Kills

1,188

Axis Kills

1,356

Match Duration

92 min

Kills/Min

27.7

Normal Match ELO

Allies 1119.0 (all: 773.0)
Ø Match 1143.0
Axis 1168.0 (all: 807.0)

Player Statistics (172)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 882 116 30 3.87 0 1,156 200 1,000 185 77 min
#2 966 81 30 2.7 0 842 640 420 25 84 min
#3 1299 76 28 2.71 0 812 500 920 180 90 min
#4 1227 67 23 2.91 2 709 800 160 245 64 min
#5 856 63 25 2.52 0 732 900 440 268 88 min
#6 1595 55 24 2.29 0 1,077 260 1,120 562 80 min
#7 1084 52 20 2.6 0 785 960 620 135 87 min
#8 1450 51 42 1.21 0 596 840 360 1,006 86 min
#9 1099 45 35 1.29 0 858 400 900 2,001 87 min
#10 977 42 24 1.75 0 590 1,180 280 135 89 min
#11 978 41 28 1.46 0 489 220 1,120 1,040 87 min
#12 1097 40 40 1.0 0 428 100 1,200 1,030 87 min
#13 838 38 35 1.09 0 410 200 1,020 175 87 min
#14 872 38 23 1.65 0 371 0 880 5 62 min
#15 948 34 18 1.89 2 692 860 540 3,507 87 min
#16 823 34 23 1.48 0 572 440 720 190 75 min
#17 736 34 35 0.97 0 407 520 640 110 86 min
#18 834 34 31 1.1 0 352 220 1,200 245 88 min
#19 978 33 24 1.38 0 1,824 1,140 420 613 87 min
#20 744 32 37 0.86 6 593 400 900 565 87 min
#21 803 32 22 1.45 0 375 100 1,220 240 87 min
#22 825 32 40 0.8 0 349 740 580 140 87 min
#23 771 31 12 2.58 0 669 140 1,260 75 80 min
#24 865 31 25 1.24 1 375 520 780 960 86 min
#25 987 29 21 1.38 0 454 100 1,320 155 88 min
#26 890 29 32 0.91 0 372 340 900 75 87 min
#27 865 29 33 0.88 0 353 260 1,080 693 87 min
#28 934 29 16 1.81 0 342 980 140 210 69 min
#29 605 28 29 0.97 2 291 140 1,180 145 84 min
#30 1006 28 12 2.33 0 239 0 820 125 55 min
#31 889 27 38 0.71 0 745 700 360 175 88 min
#32 1100 27 26 1.04 3 500 1,220 160 845 89 min
#33 723 26 5 5.2 0 1,080 440 940 350 78 min
#34 554 26 28 0.93 0 244 100 1,260 150 87 min
#35 893 25 21 1.19 0 351 60 540 225 44 min
#36 963 25 33 0.76 0 257 840 240 220 87 min
#37 642 25 35 0.71 0 227 880 460 75 88 min
#38 628 24 8 3.0 3 1,492 80 1,540 35 88 min
#39 572 24 23 1.04 0 423 1,180 260 30 91 min
#40 980 24 25 0.96 0 323 180 560 330 60 min
#41 868 24 13 1.85 2 221 60 620 825 47 min
#42 642 23 49 0.47 0 1,014 360 780 10 87 min
#43 782 23 20 1.15 0 343 380 420 210 53 min
#44 882 23 13 1.77 0 274 340 1,200 1,051 88 min
#45 826 23 26 0.88 0 248 680 560 195 81 min
#46 920 22 14 1.57 0 527 240 1,120 480 81 min
#47 672 22 21 1.05 1 287 160 1,000 125 74 min
#48 678 22 32 0.69 1 246 200 1,000 300 84 min
#49 615 22 11 2.0 0 227 460 160 5 58 min
#50 730 21 22 0.95 0 1,190 220 1,060 375 78 min
#51 943 21 38 0.55 1 754 760 540 2,180 87 min
#52 1138 21 15 1.4 0 469 340 200 225 38 min
#53 766 21 50 0.42 0 297 680 320 285 88 min
#54 1159 20 12 1.67 3 392 0 700 2,332 40 min
#55 1121 19 12 1.58 0 434 140 360 130 36 min
#56 737 19 39 0.49 0 407 40 1,240 650 88 min
#57 903 19 18 1.06 0 324 580 120 5 52 min
#58 685 18 32 0.56 2 603 660 720 3,367 87 min
#59 835 18 14 1.29 2 236 400 340 10 49 min
#60 748 18 25 0.72 0 205 600 120 0 50 min
#61 1066 17 7 2.43 0 2,203 1,640 40 404 87 min
#62 588 17 22 0.77 0 224 900 520 747 87 min
#63 810 17 29 0.59 0 206 440 980 998 91 min
#64 469 17 27 0.63 0 179 120 800 320 65 min
#65 678 17 30 0.57 0 157 860 320 375 82 min
#66 671 16 44 0.36 0 215 780 520 705 87 min
#67 616 16 17 0.94 0 211 100 1,320 625 87 min
#68 576 16 17 0.94 0 183 20 860 785 70 min
#69 493 16 25 0.64 0 142 100 540 330 51 min
#70 1305 15 3 5.0 2 604 0 1,620 3,860 89 min
#71 752 15 4 3.75 0 541 140 1,120 5 70 min
#72 1138 15 13 1.15 0 414 40 400 35 31 min
#73 872 15 17 0.88 0 261 1,000 420 110 88 min
#74 1255 14 4 3.5 0 142 100 200 5 21 min
#75 606 14 25 0.56 0 131 540 260 10 53 min
#76 641 13 3 4.33 0 509 220 760 95 62 min
#77 927 13 32 0.41 0 219 140 1,180 1,603 87 min
#78 544 12 26 0.46 0 214 220 1,180 185 87 min
#79 752 12 11 1.09 0 125 260 20 25 22 min
#80 590 12 18 0.67 0 109 220 320 30 36 min
#81 543 11 20 0.55 0 298 40 960 190 63 min
#82 900 11 13 0.85 0 180 320 100 10 31 min
#83 702 11 14 0.79 0 134 160 1,340 794 86 min
#84 1055 11 17 0.65 0 130 360 160 0 35 min
#85 699 10 36 0.28 0 441 400 800 865 88 min
#86 618 10 17 0.59 0 181 400 400 105 55 min
#87 977 10 10 1.0 0 161 220 280 10 34 min
#88 601 9 7 1.29 0 1,459 80 1,420 300 84 min
#89 930 9 17 0.53 0 150 100 1,220 30 78 min
#90 818 8 17 0.47 0 533 280 1,060 747 80 min
#91 609 8 12 0.67 0 251 500 300 15 46 min
#92 735 7 6 1.17 0 2,070 1,540 40 30 85 min
#93 541 7 17 0.41 0 133 60 960 580 69 min
#94 882 7 12 0.58 0 71 180 220 0 29 min
#95 601 6 11 0.55 1 1,285 80 1,560 125 89 min
#96 6 1 6.0 0 347 220 0 90 15 min
#97 629 6 7 0.86 0 266 280 60 45 25 min
#98 606 6 14 0.43 0 209 680 160 15 58 min
#99 6 1 6.0 1 121 0 100 10 7 min
#100 840 6 5 1.2 0 112 400 60 205 24 min
#101 837 5 22 0.23 0 96 360 100 305 36 min
#102 794 5 36 0.14 0 70 80 1,060 2,345 86 min
#103 492 5 12 0.42 0 68 20 340 0 26 min
#104 576 5 8 0.62 0 61 140 140 5 34 min
#105 676 5 2 2.5 0 60 360 40 70 22 min
#106 5 9 0.56 0 50 100 80 0 15 min
#107 589 5 9 0.56 0 47 100 200 0 23 min
#108 595 5 7 0.71 0 44 100 620 10 41 min
#109 845 5 9 0.56 0 37 120 180 0 22 min
#110 693 4 5 0.8 2 1,331 620 980 45 89 min
#111 884 4 5 0.8 0 1,164 600 1,080 165 87 min
#112 763 4 15 0.27 0 635 1,280 280 1,541 87 min
#113 417 4 17 0.24 2 534 580 180 1,005 60 min
#114 731 4 16 0.25 0 53 160 500 0 46 min
#115 649 4 20 0.2 0 48 480 140 270 45 min
#116 4 6 0.67 0 45 160 80 5 17 min
#117 703 3 4 0.75 1 620 200 1,120 807 71 min
#118 676 3 14 0.21 0 91 960 0 200 58 min
#119 838 3 6 0.5 0 90 100 180 10 22 min
#120 469 3 17 0.18 1 31 460 700 45 75 min
#121 676 3 9 0.33 0 31 120 260 0 26 min
#122 2 3 0.67 0 76 80 100 50 15 min
#123 2 2 1.0 0 64 0 60 0 6 min
#124 565 2 16 0.12 1 44 240 480 170 49 min
#125 518 2 10 0.2 0 28 140 200 5 26 min
#126 569 2 17 0.12 0 18 20 320 790 31 min
#127 1 3 0.33 0 55 0 180 45 14 min
#128 371 1 8 0.12 1 23 100 140 85 22 min
#129 678 1 11 0.09 0 18 60 400 967 39 min
#130 1 6 0.17 0 13 20 240 176 19 min
#131 1 4 0.25 0 13 40 200 0 14 min
#132 1 1 1.0 0 7 120 140 5 18 min
#133 812 0 3 0.0 0 456 80 360 40 30 min
#134 506 0 30 0.0 0 65 540 160 105 78 min
#135 0 4 0.0 0 16 20 220 5 17 min
#136 0 1 0.0 0 8 0 20 5 5 min
#137 0 3 0.0 0 4 20 140 0 12 min
#138 0 2 0.0 0 2 20 60 0 5 min
#139 0 3 0.0 0 2 0 20 0 6 min
#140 0 2 0.0 0 1 20 100 5 9 min
#141 0 0 0.0 0 0 0 0 0 0 min
#142 0 0 0.0 0 0 0 0 0 0 min
#143 0 0 0.0 0 0 0 0 0 1 min
#144 0 0 0.0 0 0 0 0 0 3 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 1 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 1 0.0 0 0 0 20 0 5 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 1 min
#153 0 1 0.0 0 0 0 0 0 3 min
#154 0 0 0.0 0 0 0 0 0 1 min
#155 0 0 0.0 0 0 0 0 0 2 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 20 0 0 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 0 0.0 0 0 20 0 0 7 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 2 min
#163 0 0 0.0 0 0 0 0 0 2 min
#164 0 0 0.0 0 0 0 0 0 7 min
#165 0 1 0.0 0 0 0 0 0 2 min
#166 0 1 0.0 0 0 0 80 0 5 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 0 0.0 0 0 0 0 0 3 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 0 0 0 7 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