elalamein_warfare_night

El Alamein Warfare Dusk

26.07.2025 16:41 | [GER] Sandkasten der 106. Panzerbrigade

Result

5:0

Axis wins

Players

194

Total Kills

1,807

Allied Kills

954

Axis Kills

853

Match Duration

74 min

Kills/Min

24.5

Normal Match ELO

Allies 1022.0 (all: 711.0)
Ø Match 1019.0
Axis 1016.0 (all: 727.0)

Player Statistics (194)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 718 63 6 10.5 1 1,557 640 640 25 69 min
#2 1170 58 17 3.41 0 670 180 880 20 65 min
#3 726 56 27 2.07 0 574 360 600 20 65 min
#4 1185 50 21 2.38 0 678 460 560 35 62 min
#5 793 48 21 2.29 0 456 640 480 145 69 min
#6 992 46 23 2.0 0 510 280 760 25 69 min
#7 912 46 8 5.75 1 427 100 1,100 861 69 min
#8 943 45 31 1.45 1 741 440 520 2,411 69 min
#9 1073 42 26 1.62 0 756 600 480 85 70 min
#10 923 39 23 1.7 0 397 300 440 275 56 min
#11 835 33 12 2.75 0 398 360 500 20 54 min
#12 656 32 21 1.52 0 371 560 480 40 70 min
#13 1083 31 11 2.82 0 853 220 680 540 61 min
#14 1058 30 21 1.43 0 433 320 460 480 70 min
#15 1351 30 19 1.58 1 350 340 720 1,380 70 min
#16 818 27 31 0.87 0 518 560 420 1,026 69 min
#17 775 26 11 2.36 0 346 340 960 600 70 min
#18 988 25 5 5.0 0 1,238 120 1,140 135 70 min
#19 599 25 8 3.12 3 258 300 1,700 4,277 70 min
#20 932 23 29 0.79 0 453 400 580 115 70 min
#21 954 23 27 0.85 0 347 740 380 570 69 min
#22 684 23 16 1.44 0 233 260 780 35 64 min
#23 865 23 23 1.0 1 218 380 640 1,504 70 min
#24 778 23 0 23.0 1 183 0 700 10 36 min
#25 847 22 9 2.44 1 819 260 980 198 70 min
#26 607 21 28 0.75 3 261 700 380 377 69 min
#27 870 20 12 1.67 0 513 240 420 145 57 min
#28 733 20 12 1.67 0 195 300 440 0 51 min
#29 826 20 23 0.87 0 165 500 480 810 64 min
#30 900 19 16 1.19 0 260 320 140 225 33 min
#31 659 19 31 0.61 0 183 300 700 490 69 min
#32 769 18 24 0.75 0 205 300 580 90 60 min
#33 608 17 20 0.85 0 172 300 760 1,127 69 min
#34 756 17 24 0.71 0 164 480 600 1,144 69 min
#35 782 17 13 1.31 0 151 300 680 1,785 64 min
#36 1083 17 14 1.21 0 151 220 60 10 22 min
#37 881 16 30 0.53 0 518 360 620 212 69 min
#38 674 16 20 0.8 0 260 320 500 75 54 min
#39 698 16 18 0.89 0 259 320 500 35 66 min
#40 514 16 14 1.14 0 158 320 640 30 55 min
#41 680 15 42 0.36 0 527 360 600 325 69 min
#42 783 15 11 1.36 6 176 300 920 2,386 69 min
#43 580 14 5 2.8 0 1,192 140 1,120 10 69 min
#44 635 14 35 0.4 3 502 400 580 65 70 min
#45 665 14 7 2.0 1 312 200 1,140 3,725 69 min
#46 727 14 7 2.0 0 252 380 260 230 37 min
#47 799 14 7 2.0 0 221 80 340 105 32 min
#48 825 14 25 0.56 0 182 420 620 240 71 min
#49 567 14 18 0.78 0 165 440 660 345 70 min
#50 704 13 10 1.3 0 606 260 940 10 69 min
#51 738 13 26 0.5 0 496 400 580 25 66 min
#52 586 13 11 1.18 4 393 320 860 75 69 min
#53 741 13 6 2.17 0 148 200 400 145 37 min
#54 1017 13 6 2.17 0 129 180 220 5 27 min
#55 707 13 17 0.76 1 125 300 860 1,040 69 min
#56 779 13 17 0.76 0 119 300 420 95 43 min
#57 12 3 4.0 0 108 80 200 35 19 min
#58 717 12 17 0.71 1 108 400 240 85 61 min
#59 744 12 10 1.2 0 103 140 200 5 23 min
#60 682 12 22 0.55 0 97 220 460 75 45 min
#61 782 11 9 1.22 0 185 220 180 115 27 min
#62 670 11 19 0.58 0 138 280 740 390 69 min
#63 569 11 7 1.57 0 117 340 280 80 39 min
#64 11 7 1.57 0 97 0 280 25 20 min
#65 875 10 3 3.33 0 127 100 620 5 42 min
#66 934 10 6 1.67 1 98 60 260 5 23 min
#67 848 10 10 1.0 0 92 220 280 35 32 min
#68 761 9 15 0.6 0 686 660 80 477 53 min
#69 583 9 5 1.8 0 661 540 140 0 41 min
#70 511 9 3 3.0 0 92 180 1,160 0 73 min
#71 9 7 1.29 0 88 180 20 5 15 min
#72 511 8 11 0.73 2 328 280 880 0 68 min
#73 628 8 14 0.57 0 245 260 260 269 33 min
#74 470 8 21 0.38 0 97 420 480 355 60 min
#75 609 8 28 0.29 1 84 300 760 850 69 min
#76 562 8 6 1.33 0 81 100 300 215 31 min
#77 337 7 27 0.26 0 706 720 1,080 65 69 min
#78 589 7 23 0.3 0 139 500 460 270 65 min
#79 975 7 6 1.17 0 118 120 140 30 27 min
#80 7 6 1.17 0 111 160 20 85 17 min
#81 697 7 11 0.64 0 108 260 280 250 36 min
#82 7 2 3.5 0 101 40 80 5 9 min
#83 761 7 8 0.88 0 86 140 500 0 45 min
#84 519 7 13 0.54 1 85 340 200 340 39 min
#85 453 7 24 0.29 0 75 360 360 80 52 min
#86 794 7 9 0.78 0 64 200 380 525 40 min
#87 7 9 0.78 0 62 120 0 10 15 min
#88 855 7 14 0.5 0 59 180 220 15 31 min
#89 532 7 15 0.47 0 58 220 300 5 38 min
#90 6 1 6.0 0 304 140 100 0 14 min
#91 687 6 21 0.29 0 115 220 560 3,325 54 min
#92 6 8 0.75 0 66 0 80 25 10 min
#93 659 6 13 0.46 0 57 20 380 80 30 min
#94 758 5 13 0.38 0 259 240 380 260 42 min
#95 5 2 2.5 0 95 0 340 95 19 min
#96 408 5 17 0.29 0 85 220 340 455 47 min
#97 461 5 12 0.42 0 77 320 160 5 41 min
#98 535 5 16 0.31 0 68 460 600 810 68 min
#99 628 5 11 0.45 0 56 20 320 10 24 min
#100 600 5 10 0.5 1 49 240 160 180 28 min
#101 837 5 5 1.0 0 47 0 280 140 21 min
#102 739 4 9 0.44 0 1,056 100 1,180 2,452 69 min
#103 876 4 9 0.44 0 118 400 160 315 33 min
#104 4 8 0.5 0 51 0 140 0 17 min
#105 4 8 0.5 0 48 0 200 0 16 min
#106 621 4 9 0.44 0 42 100 340 130 32 min
#107 4 4 1.0 0 42 100 180 30 17 min
#108 602 4 8 0.5 0 29 160 140 455 25 min
#109 4 1 4.0 1 26 0 160 555 10 min
#110 478 3 14 0.21 0 47 60 380 125 33 min
#111 545 3 11 0.27 0 40 160 220 5 26 min
#112 410 3 1 3.0 0 39 280 100 75 22 min
#113 334 2 12 0.17 0 40 120 380 155 44 min
#114 679 2 9 0.22 0 35 220 440 0 45 min
#115 622 2 10 0.2 0 27 380 340 20 43 min
#116 2 4 0.5 0 27 120 100 85 19 min
#117 2 3 0.67 0 26 0 100 0 14 min
#118 2 1 2.0 0 26 60 60 0 9 min
#119 2 8 0.25 0 25 60 120 0 18 min
#120 376 2 11 0.18 0 24 60 200 0 21 min
#121 2 7 0.29 0 24 120 100 75 19 min
#122 2 5 0.4 1 23 0 200 0 14 min
#123 2 6 0.33 0 19 20 80 25 9 min
#124 2 2 1.0 0 15 60 200 118 20 min
#125 452 1 10 0.1 0 548 240 900 115 69 min
#126 1 4 0.25 0 113 0 100 150 11 min
#127 660 1 11 0.09 1 30 280 300 65 38 min
#128 463 1 20 0.05 0 24 260 200 340 37 min
#129 500 1 10 0.1 0 21 180 280 150 27 min
#130 1 5 0.2 0 20 60 140 0 16 min
#131 487 1 8 0.12 0 16 160 180 0 25 min
#132 631 1 2 0.5 0 14 0 300 0 21 min
#133 1 8 0.12 0 13 0 220 0 18 min
#134 1 4 0.25 0 11 0 100 75 12 min
#135 1 1 1.0 0 10 60 20 0 7 min
#136 1 0 1.0 0 7 40 0 0 3 min
#137 727 0 6 0.0 0 1,495 640 660 235 70 min
#138 671 0 2 0.0 0 1,029 300 320 25 34 min
#139 392 0 3 0.0 0 475 300 240 0 31 min
#140 405 0 2 0.0 0 169 40 300 20 22 min
#141 1109 0 3 0.0 1 14 0 300 5 36 min
#142 0 2 0.0 0 7 100 60 0 14 min
#143 0 1 0.0 0 7 140 200 80 22 min
#144 0 3 0.0 0 6 60 160 0 13 min
#145 0 3 0.0 0 5 120 40 0 11 min
#146 0 2 0.0 0 4 0 20 5 12 min
#147 0 0 0.0 0 4 0 120 0 7 min
#148 0 1 0.0 0 2 0 0 0 3 min
#149 0 3 0.0 0 1 20 100 0 12 min
#150 0 1 0.0 0 1 20 20 0 5 min
#151 0 1 0.0 0 1 0 40 5 4 min
#152 0 2 0.0 0 1 80 180 0 16 min
#153 0 0 0.0 0 0 0 0 0 0 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 0 0.0 0 0 0 0 0 1 min
#156 0 0 0.0 0 0 0 0 0 1 min
#157 0 0 0.0 0 0 0 0 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 1 min
#160 0 0 0.0 0 0 0 80 25 5 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 0 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 0 0 0 0 0 1 min
#166 0 2 0.0 0 0 20 40 0 6 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 2 0.0 0 0 0 80 0 17 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 1 0.0 0 0 40 20 0 13 min
#171 0 0 0.0 0 0 0 0 0 1 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 1 0.0 0 0 0 40 75 5 min
#175 0 0 0.0 0 0 0 0 0 0 min
#176 0 0 0.0 0 0 0 80 0 6 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 0 0 7 min
#180 0 0 0.0 0 0 0 0 0 2 min
#181 0 2 0.0 0 0 40 120 138 11 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 2 0.0 0 0 0 200 0 15 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 0 0.0 0 0 0 0 0 1 min
#186 0 0 0.0 0 0 0 0 0 1 min
#187 0 0 0.0 0 0 0 0 0 3 min
#188 0 2 0.0 0 0 0 120 0 5 min
#189 0 0 0.0 0 0 0 0 0 1 min
#190 0 3 0.0 0 0 0 100 0 11 min
#191 0 0 0.0 0 0 0 0 0 1 min
#192 0 0 0.0 0 0 0 0 0 14 min
#193 0 0 0.0 0 0 0 0 0 1 min
#194 0 0 0.0 0 0 0 0 0 0 min