elalamein_warfare

El Alamein Warfare Day

04.06.2026 23:40 | GERMAN_BATTLEGROUND_5

Result

4:1

Axis wins

Players

202

Total Kills

1,332

Allied Kills

677

Axis Kills

655

Match Duration

64 min

Kills/Min

20.8

Normal Match ELO

Allies 983.0 (all: 725.0)
Ø Match 1032.0
Axis 1080.0 (all: 724.0)

Player Statistics (202)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1198 67 10 6.7 0 704 380 600 275 59 min
#2 1257 48 15 3.2 0 634 0 760 5 46 min
#3 1358 41 19 2.16 2 459 140 800 1,280 59 min
#4 751 39 23 1.7 1 432 140 740 5 55 min
#5 719 36 10 3.6 0 592 620 480 5 59 min
#6 781 31 7 4.43 0 348 540 560 250 59 min
#7 1063 30 14 2.14 0 394 140 440 30 35 min
#8 631 30 13 2.31 0 259 360 700 0 59 min
#9 1080 29 25 1.16 0 315 460 520 1,514 59 min
#10 1061 27 13 2.08 0 334 480 580 1,958 59 min
#11 955 27 17 1.59 0 330 140 560 215 46 min
#12 972 26 12 2.17 2 476 340 480 510 50 min
#13 1114 26 19 1.37 0 393 520 500 320 59 min
#14 1007 25 5 5.0 0 1,051 540 360 5 49 min
#15 1172 25 26 0.96 0 347 380 560 35 59 min
#16 767 25 15 1.67 0 229 220 640 220 57 min
#17 935 23 11 2.09 0 371 540 460 731 59 min
#18 1005 23 3 7.67 0 297 0 440 50 23 min
#19 579 21 8 2.62 0 212 460 600 495 59 min
#20 887 19 10 1.9 0 328 220 180 215 27 min
#21 595 19 11 1.73 0 208 240 680 75 55 min
#22 669 19 21 0.9 0 188 380 600 350 59 min
#23 880 18 18 1.0 1 287 280 500 405 51 min
#24 1077 18 10 1.8 0 235 160 520 65 39 min
#25 732 16 17 0.94 0 324 260 460 305 45 min
#26 903 16 11 1.45 0 146 120 720 545 50 min
#27 844 16 17 0.94 0 142 320 720 2,030 59 min
#28 740 15 11 1.36 0 372 540 480 427 59 min
#29 695 15 15 1.0 0 293 240 360 90 38 min
#30 879 15 23 0.65 0 225 200 800 628 62 min
#31 629 15 10 1.5 0 178 280 460 230 44 min
#32 609 14 14 1.0 0 136 200 780 95 59 min
#33 753 14 6 2.33 0 126 0 380 30 25 min
#34 651 13 18 0.72 0 158 80 600 0 50 min
#35 1021 13 13 1.0 0 148 280 240 15 35 min
#36 871 13 15 0.87 0 144 180 560 420 51 min
#37 732 13 16 0.81 0 126 100 620 121 48 min
#38 877 13 14 0.93 0 108 200 400 2,005 51 min
#39 771 12 17 0.71 0 368 240 420 1,980 52 min
#40 642 12 7 1.71 0 158 140 700 70 50 min
#41 482 11 4 2.75 0 475 380 700 75 59 min
#42 660 11 8 1.38 1 323 40 400 130 42 min
#43 644 11 23 0.48 0 243 360 580 45 59 min
#44 650 11 13 0.85 0 208 360 700 1,244 59 min
#45 649 10 13 0.77 1 173 80 720 60 51 min
#46 619 10 33 0.3 0 125 360 560 775 59 min
#47 770 10 15 0.67 1 122 220 720 195 59 min
#48 726 10 20 0.5 0 116 140 420 20 46 min
#49 565 10 18 0.56 0 111 140 440 60 43 min
#50 836 9 6 1.5 0 250 220 180 80 27 min
#51 680 9 20 0.45 0 178 240 660 295 59 min
#52 1009 9 17 0.53 0 148 260 560 711 51 min
#53 660 9 6 1.5 0 130 120 200 0 20 min
#54 805 9 15 0.6 0 122 200 280 295 32 min
#55 655 9 28 0.32 0 100 280 640 395 59 min
#56 884 9 10 0.9 0 93 160 420 5 37 min
#57 853 9 13 0.69 1 90 220 560 75 46 min
#58 660 8 17 0.47 0 111 140 620 455 50 min
#59 774 8 4 2.0 0 98 200 140 15 24 min
#60 615 8 3 2.67 0 88 180 960 90 59 min
#61 8 4 2.0 0 62 120 160 0 19 min
#62 664 7 16 0.44 0 219 260 780 1,020 59 min
#63 752 7 6 1.17 0 146 0 380 15 26 min
#64 434 7 0 7.0 0 134 0 1,100 848 58 min
#65 549 7 11 0.64 0 89 400 460 155 51 min
#66 557 7 16 0.44 1 80 420 600 495 59 min
#67 483 7 12 0.58 0 62 380 500 715 59 min
#68 753 6 19 0.32 0 312 440 280 180 52 min
#69 666 6 4 1.5 1 83 40 460 35 35 min
#70 718 6 1 6.0 0 76 120 60 195 24 min
#71 776 6 17 0.35 0 63 380 440 567 51 min
#72 642 5 6 0.83 1 178 40 820 435 51 min
#73 5 3 1.67 0 122 60 60 0 11 min
#74 5 2 2.5 0 88 0 120 0 9 min
#75 572 5 13 0.38 0 76 380 360 25 45 min
#76 580 5 10 0.5 0 61 120 240 0 26 min
#77 5 7 0.71 0 55 80 180 5 18 min
#78 672 5 15 0.33 0 53 500 560 1,260 59 min
#79 5 1 5.0 0 51 40 40 0 6 min
#80 571 4 8 0.5 0 192 160 360 10 34 min
#81 556 4 15 0.27 1 155 220 580 410 57 min
#82 476 4 13 0.31 0 71 200 840 310 59 min
#83 642 4 5 0.8 1 49 140 200 92 23 min
#84 624 4 17 0.24 0 47 320 660 1,445 59 min
#85 534 4 7 0.57 1 42 0 400 155 26 min
#86 692 4 6 0.67 0 35 20 520 105 30 min
#87 4 1 4.0 0 34 20 260 0 16 min
#88 673 4 9 0.44 0 31 140 480 205 37 min
#89 4 4 1.0 0 25 140 80 10 15 min
#90 843 3 3 1.0 0 500 420 280 255 37 min
#91 579 3 10 0.3 2 181 280 460 465 52 min
#92 3 1 3.0 1 65 0 60 0 4 min
#93 654 3 6 0.5 0 49 40 340 0 22 min
#94 517 3 3 1.0 0 40 60 480 35 33 min
#95 3 7 0.43 0 39 60 160 415 15 min
#96 629 3 16 0.19 0 37 200 500 522 47 min
#97 3 6 0.5 0 34 80 120 0 18 min
#98 3 1 3.0 0 34 100 60 5 13 min
#99 738 3 2 1.5 0 32 360 20 80 21 min
#100 766 3 4 0.75 1 29 180 100 35 22 min
#101 611 2 0 2.0 0 259 240 220 0 23 min
#102 691 2 11 0.18 1 113 420 400 10 55 min
#103 641 2 4 0.5 0 45 0 240 500 21 min
#104 744 2 13 0.15 0 34 60 500 390 35 min
#105 2 3 0.67 0 30 40 140 170 12 min
#106 2 2 1.0 0 30 0 120 0 9 min
#107 441 2 6 0.33 0 27 200 80 120 26 min
#108 2 4 0.5 0 25 0 260 10 16 min
#109 423 2 7 0.29 0 23 140 260 155 44 min
#110 660 2 10 0.2 0 22 320 300 538 42 min
#111 2 1 2.0 0 21 0 20 0 3 min
#112 2 4 0.5 0 20 40 80 0 11 min
#113 628 2 8 0.25 0 17 0 320 80 20 min
#114 699 1 5 0.2 0 1,268 540 360 55 49 min
#115 722 1 4 0.25 0 361 80 500 0 38 min
#116 844 1 7 0.14 0 98 100 580 0 59 min
#117 1 3 0.33 0 47 60 260 20 18 min
#118 1 1 1.0 0 23 0 60 75 7 min
#119 1 2 0.5 0 17 100 40 0 10 min
#120 1 2 0.5 0 14 160 200 250 20 min
#121 1 1 1.0 0 13 40 60 35 8 min
#122 1 2 0.5 1 7 20 180 50 14 min
#123 462 1 10 0.1 0 7 0 240 0 23 min
#124 1 1 1.0 0 6 0 20 0 4 min
#125 529 1 1 1.0 0 6 0 360 100 23 min
#126 462 0 4 0.0 0 468 380 780 75 59 min
#127 740 0 6 0.0 0 358 60 520 75 38 min
#128 552 0 7 0.0 0 27 100 400 0 30 min
#129 0 3 0.0 0 8 0 100 0 8 min
#130 0 4 0.0 0 8 0 140 150 13 min
#131 0 1 0.0 0 7 0 280 155 20 min
#132 593 0 10 0.0 0 6 0 200 0 22 min
#133 0 2 0.0 0 3 0 140 0 8 min
#134 0 2 0.0 0 3 40 40 0 8 min
#135 0 3 0.0 0 1 20 200 0 15 min
#136 0 3 0.0 0 1 40 80 0 8 min
#137 0 2 0.0 0 1 0 40 0 4 min
#138 0 1 0.0 0 1 40 40 60 21 min
#139 0 5 0.0 0 1 40 120 0 17 min
#140 0 0 0.0 0 0 0 0 0 0 min
#141 0 1 0.0 0 0 0 100 0 7 min
#142 0 0 0.0 0 0 0 0 0 0 min
#143 0 0 0.0 0 0 0 40 0 1 min
#144 0 1 0.0 0 0 40 40 0 8 min
#145 0 0 0.0 0 0 0 40 0 2 min
#146 0 0 0.0 0 0 0 0 0 0 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 0 0.0 0 0 0 0 0 1 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 0 min
#153 0 0 0.0 0 0 0 0 0 0 min
#154 0 0 0.0 0 0 20 0 0 4 min
#155 0 2 0.0 0 0 0 20 0 4 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 1 min
#158 0 2 0.0 5 0 20 140 0 15 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 0 0 2 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 1 min
#163 0 0 0.0 0 0 0 0 0 2 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 80 10 5 min
#167 0 0 0.0 0 0 0 100 0 4 min
#168 0 0 0.0 0 0 0 0 0 1 min
#169 0 0 0.0 0 0 0 0 0 1 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 0 0.0 0 0 0 0 0 2 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 1 0.0 0 0 0 20 0 4 min
#175 0 0 0.0 0 0 0 0 0 0 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 1 0.0 0 0 0 20 75 4 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 3 0.0 0 0 0 40 0 3 min
#180 0 0 0.0 0 0 0 0 0 3 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 0 0.0 0 0 0 100 0 5 min
#187 0 0 0.0 0 0 0 0 0 0 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 0 0.0 2 0 0 60 60 1 min
#190 0 0 0.0 0 0 0 0 0 0 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
#194 0 0 0.0 0 0 0 0 0 0 min
#195 0 1 0.0 0 0 0 40 20 6 min
#196 0 0 0.0 0 0 0 0 0 1 min
#197 0 0 0.0 0 0 0 20 0 1 min
#198 0 0 0.0 10 0 0 0 0 0 min
#199 0 0 0.0 0 0 0 0 0 0 min
#200 0 0 0.0 0 0 0 0 0 3 min
#201 0 1 0.0 0 0 20 140 0 14 min
#202 0 2 0.0 0 0 20 0 0 4 min