elalamein_warfare

El Alamein Warfare Day

31.05.2025 22:30 | [GER] 1. Fallschirmjäger-Division Server 1

Result

4:1

Axis wins

Players

192

Total Kills

2,441

Allied Kills

1,253

Axis Kills

1,188

Match Duration

92 min

Kills/Min

26.6

Normal Match ELO

Allies 1112.0 (all: 753.0)
Ø Match 1091.0
Axis 1071.0 (all: 721.0)

Player Statistics (192)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1481 97 47 2.06 0 1,037 300 860 50 89 min
#2 1120 85 27 3.15 0 937 720 600 125 87 min
#3 1470 81 29 2.79 0 1,006 780 360 2,840 87 min
#4 1424 68 44 1.55 0 884 600 520 80 82 min
#5 997 61 25 2.44 1 607 460 760 90 88 min
#6 881 55 18 3.06 0 539 1,020 440 270 87 min
#7 706 51 37 1.38 0 552 420 540 0 72 min
#8 1112 50 41 1.22 1 464 520 420 151 72 min
#9 975 48 33 1.45 0 516 580 600 135 88 min
#10 854 47 7 6.71 0 1,128 320 1,140 50 87 min
#11 1139 46 31 1.48 0 473 0 1,320 272 88 min
#12 1070 44 17 2.59 0 428 1,140 340 713 87 min
#13 871 42 22 1.91 0 409 800 400 166 81 min
#14 724 41 27 1.52 0 414 640 680 85 88 min
#15 885 41 43 0.95 0 392 660 620 200 87 min
#16 892 40 22 1.82 1 395 1,220 240 155 87 min
#17 858 40 16 2.5 1 373 640 920 2,845 90 min
#18 864 39 42 0.93 1 396 280 980 80 87 min
#19 943 38 29 1.31 1 420 420 880 530 89 min
#20 868 38 30 1.27 0 373 0 1,360 852 88 min
#21 904 37 23 1.61 1 377 780 640 340 87 min
#22 1015 35 21 1.67 2 345 680 760 1,052 88 min
#23 781 34 42 0.81 1 320 420 740 40 89 min
#24 772 34 8 4.25 0 287 180 280 90 34 min
#25 759 32 10 3.2 1 503 200 1,400 3,326 88 min
#26 774 31 36 0.86 0 312 200 1,000 410 88 min
#27 730 30 35 0.86 0 511 560 560 505 88 min
#28 1142 30 41 0.73 0 366 20 1,180 130 88 min
#29 664 29 33 0.88 0 319 620 600 100 88 min
#30 549 28 8 3.5 1 1,044 620 960 0 88 min
#31 1046 28 32 0.88 0 335 680 720 2,356 87 min
#32 864 28 34 0.82 2 325 260 1,040 667 88 min
#33 774 28 43 0.65 0 321 400 880 594 87 min
#34 702 28 45 0.62 0 268 280 880 10 88 min
#35 683 26 24 1.08 2 414 720 620 563 87 min
#36 741 26 34 0.76 0 301 320 720 210 89 min
#37 896 25 28 0.89 0 278 180 1,120 503 88 min
#38 794 24 28 0.86 1 294 380 940 535 88 min
#39 910 24 6 4.0 0 198 240 60 90 25 min
#40 703 23 13 1.77 0 748 180 1,260 2,320 87 min
#41 628 22 37 0.59 0 227 500 720 169 88 min
#42 616 22 40 0.55 1 219 300 1,000 683 88 min
#43 797 22 28 0.79 0 181 260 180 20 41 min
#44 550 21 22 0.95 0 256 420 760 105 88 min
#45 773 21 30 0.7 0 243 660 600 360 83 min
#46 928 21 10 2.1 0 221 0 640 180 44 min
#47 562 21 17 1.24 0 217 180 1,240 15 88 min
#48 705 20 12 1.67 1 821 240 1,360 895 87 min
#49 830 20 26 0.77 0 344 460 860 501 87 min
#50 1018 20 32 0.62 0 218 20 760 578 56 min
#51 519 19 1 19.0 0 297 0 720 0 40 min
#52 607 19 14 1.36 0 203 160 1,340 360 88 min
#53 1092 19 15 1.27 0 202 0 560 1,295 39 min
#54 467 18 7 2.57 2 555 260 1,400 20 88 min
#55 736 18 22 0.82 1 342 180 780 100 65 min
#56 723 18 4 4.5 0 196 180 480 70 39 min
#57 746 17 30 0.57 1 282 640 680 3,400 87 min
#58 1004 17 7 2.43 0 257 60 800 60 49 min
#59 1140 17 11 1.55 0 215 40 640 275 48 min
#60 697 16 20 0.8 0 251 200 860 65 88 min
#61 770 16 35 0.46 0 187 280 1,020 1,627 90 min
#62 614 16 21 0.76 0 143 320 620 0 64 min
#63 488 15 17 0.88 0 191 480 980 120 85 min
#64 709 15 13 1.15 0 178 540 460 120 60 min
#65 633 14 35 0.4 0 164 260 940 2,405 88 min
#66 610 14 28 0.5 0 154 240 520 10 57 min
#67 674 13 4 3.25 1 1,063 620 740 30 73 min
#68 502 13 17 0.76 1 397 320 500 50 56 min
#69 582 13 21 0.62 0 157 560 880 500 87 min
#70 459 13 47 0.28 0 147 340 920 105 88 min
#71 586 13 27 0.48 0 130 620 680 1,100 86 min
#72 534 13 14 0.93 0 112 0 560 60 41 min
#73 611 12 7 1.71 0 125 0 680 70 41 min
#74 593 12 43 0.28 0 119 520 760 1,322 88 min
#75 706 10 23 0.43 0 131 460 800 390 87 min
#76 421 10 25 0.4 0 109 260 580 385 88 min
#77 883 10 13 0.77 0 100 360 120 165 34 min
#78 10 1 10.0 0 92 60 80 0 11 min
#79 548 9 40 0.23 2 145 200 1,140 654 90 min
#80 718 9 22 0.41 0 109 1,400 100 795 88 min
#81 478 9 12 0.75 0 106 460 220 30 43 min
#82 781 9 30 0.3 0 89 320 1,020 1,702 88 min
#83 507 9 23 0.39 0 81 20 340 5 32 min
#84 621 8 11 0.73 0 82 220 180 155 30 min
#85 562 7 4 1.75 0 291 140 0 0 23 min
#86 652 7 3 2.33 0 249 40 500 5 31 min
#87 618 7 14 0.5 3 188 260 640 155 65 min
#88 531 7 9 0.78 1 77 20 320 0 28 min
#89 6 8 0.75 0 68 0 180 5 15 min
#90 528 6 10 0.6 0 60 40 680 300 58 min
#91 536 6 9 0.67 0 39 0 300 10 26 min
#92 730 5 17 0.29 0 70 60 520 10 42 min
#93 550 5 9 0.56 0 66 0 340 20 24 min
#94 502 5 16 0.31 0 61 120 260 60 30 min
#95 727 5 13 0.38 0 60 280 260 35 39 min
#96 498 5 8 0.62 0 56 180 420 60 42 min
#97 5 3 1.67 0 50 120 20 0 12 min
#98 4 5 0.8 0 88 60 80 123 12 min
#99 530 4 7 0.57 0 66 720 620 2,064 74 min
#100 4 10 0.4 0 40 20 180 5 19 min
#101 452 3 7 0.43 0 122 240 860 0 60 min
#102 585 3 7 0.43 0 63 20 960 30 56 min
#103 831 3 3 1.0 0 47 220 40 10 21 min
#104 465 3 13 0.23 0 40 0 420 15 32 min
#105 3 4 0.75 1 37 60 140 181 14 min
#106 603 3 15 0.2 0 34 0 240 0 22 min
#107 945 2 9 0.22 0 1,035 260 1,140 355 87 min
#108 602 2 8 0.25 0 36 1,000 80 319 58 min
#109 2 6 0.33 0 22 20 200 50 16 min
#110 466 2 17 0.12 0 22 20 320 35 30 min
#111 699 2 7 0.29 0 21 300 220 516 35 min
#112 504 2 23 0.09 0 21 280 1,040 410 88 min
#113 2 1 2.0 0 17 0 200 0 13 min
#114 2 1 2.0 0 15 100 0 15 7 min
#115 1050 1 5 0.2 1 1,002 620 940 320 87 min
#116 599 1 3 0.33 0 218 40 500 70 31 min
#117 1 0 1.0 0 106 0 560 0 8 min
#118 561 1 5 0.2 8 29 120 200 0 24 min
#119 1 3 0.33 0 18 0 100 5 12 min
#120 1 8 0.12 0 17 0 140 0 14 min
#121 1 2 0.5 0 14 0 80 30 11 min
#122 600 1 6 0.17 0 13 180 60 5 21 min
#123 1 8 0.12 0 11 0 260 300 20 min
#124 733 1 8 0.12 0 11 300 120 220 30 min
#125 1 2 0.5 0 10 0 100 0 8 min
#126 1 3 0.33 0 10 80 160 95 17 min
#127 1 5 0.2 0 7 120 120 0 18 min
#128 1 1 1.0 1 5 20 20 0 7 min
#129 574 0 8 0.0 0 1,029 340 1,200 90 89 min
#130 485 0 7 0.0 0 546 260 1,420 30 88 min
#131 0 2 0.0 0 11 0 100 155 8 min
#132 0 0 0.0 0 11 20 60 380 14 min
#133 0 6 0.0 0 11 100 80 0 14 min
#134 438 0 34 0.0 0 4 180 1,020 400 90 min
#135 0 7 0.0 0 3 0 100 60 14 min
#136 0 1 0.0 1 1 40 100 25 10 min
#137 485 0 8 0.0 0 1 100 300 50 32 min
#138 0 0 0.0 0 0 0 0 0 2 min
#139 0 0 0.0 0 0 0 0 0 0 min
#140 0 0 0.0 0 0 0 0 0 1 min
#141 0 0 0.0 0 0 0 0 0 4 min
#142 0 0 0.0 0 0 0 0 0 0 min
#143 0 3 0.0 0 0 80 0 0 10 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 0 0.0 0 0 0 0 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 1 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 0 0 0 min
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#164 0 0 0.0 0 0 0 0 0 1 min
#165 0 0 0.0 0 0 0 0 0 1 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 0 0.0 0 0 0 0 0 1 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 0 0 0 1 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
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 20 0 0 3 min
#175 0 0 0.0 0 0 0 0 0 0 min
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#180 0 0 0.0 0 0 0 100 25 11 min
#181 0 0 0.0 0 0 0 0 0 2 min
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#183 0 0 0.0 0 0 0 0 0 6 min
#184 0 1 0.0 0 0 0 0 0 1 min
#185 0 0 0.0 0 0 0 0 0 4 min
#186 0 1 0.0 0 0 40 0 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 0 0 0 0 0 0 min
#190 0 0 0.0 0 0 0 0 0 1 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 0 0.0 0 0 0 0 0 1 min