elalamein_warfare

El Alamein Warfare Day

01.03.2025 22:51 | [GER] 106. Panzerbrigade

Result

5:0

Axis wins

Players

190

Total Kills

2,051

Allied Kills

941

Axis Kills

1,110

Match Duration

81 min

Kills/Min

25.4

Normal Match ELO

Allies 1100.0 (all: 709.0)
Ø Match 1127.0
Axis 1154.0 (all: 772.0)

Player Statistics (190)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1311 93 19 4.89 0 798 400 760 0 76 min
#2 1677 82 24 3.42 0 698 260 900 2,545 79 min
#3 957 70 25 2.8 0 595 500 640 75 76 min
#4 1262 56 17 3.29 0 489 520 340 0 54 min
#5 789 49 14 3.5 2 354 260 1,040 0 76 min
#6 1154 47 14 3.36 1 425 980 340 424 76 min
#7 839 43 20 2.15 0 352 900 340 0 76 min
#8 552 43 15 2.87 0 316 860 480 20 76 min
#9 1219 42 30 1.4 0 380 420 720 1,370 75 min
#10 1449 42 24 1.75 0 348 340 460 75 62 min
#11 1147 41 31 1.32 1 287 640 400 666 76 min
#12 1116 37 15 2.47 0 258 200 540 60 48 min
#13 681 35 33 1.06 3 515 540 340 0 76 min
#14 743 33 32 1.03 0 501 500 760 75 76 min
#15 664 33 32 1.03 0 246 500 520 0 76 min
#16 1056 32 17 1.88 0 254 300 480 205 48 min
#17 1000 31 24 1.29 0 523 360 900 2,710 76 min
#18 1241 31 33 0.94 0 358 800 260 321 74 min
#19 868 30 23 1.3 1 294 480 580 412 69 min
#20 932 30 32 0.94 0 232 600 500 355 76 min
#21 932 30 34 0.88 1 223 480 580 695 76 min
#22 853 29 31 0.94 1 229 160 1,020 2,552 76 min
#23 862 28 19 1.47 1 263 320 880 75 76 min
#24 1123 28 15 1.87 0 189 180 500 874 45 min
#25 1276 27 11 2.45 0 545 420 160 0 40 min
#26 1015 25 25 1.0 0 434 780 340 3,268 76 min
#27 1099 25 14 1.79 0 193 500 120 235 38 min
#28 830 25 19 1.32 5 184 340 860 0 76 min
#29 761 24 28 0.86 1 282 380 560 0 64 min
#30 721 23 7 3.29 1 278 240 1,160 0 78 min
#31 589 23 20 1.15 0 158 440 540 0 71 min
#32 721 22 4 5.5 7 692 0 1,460 2,515 76 min
#33 682 22 22 1.0 0 297 220 920 250 76 min
#34 644 22 21 1.05 0 142 800 420 771 76 min
#35 784 21 2 10.5 0 201 80 340 150 34 min
#36 935 21 23 0.91 2 188 460 860 5,056 76 min
#37 831 21 12 1.75 0 165 40 680 0 43 min
#38 840 21 19 1.11 1 157 820 360 0 76 min
#39 789 19 6 3.17 1 146 60 1,160 2,971 67 min
#40 819 19 17 1.12 0 138 840 460 518 76 min
#41 836 19 24 0.79 0 131 220 980 90 76 min
#42 802 19 25 0.76 0 126 180 1,000 0 76 min
#43 772 18 15 1.2 0 240 100 260 0 27 min
#44 624 18 28 0.64 0 128 360 440 0 59 min
#45 679 18 9 2.0 0 108 220 1,020 0 72 min
#46 484 17 13 1.31 0 135 280 360 30 41 min
#47 834 17 24 0.71 0 124 180 1,160 409 76 min
#48 855 16 5 3.2 0 137 140 400 1,235 32 min
#49 653 16 21 0.76 0 120 360 760 170 76 min
#50 733 16 13 1.23 0 98 80 840 378 57 min
#51 746 15 16 0.94 0 161 240 860 80 73 min
#52 757 15 13 1.15 0 108 340 380 0 44 min
#53 534 15 33 0.45 0 96 440 520 245 67 min
#54 541 14 20 0.7 0 116 260 980 30 76 min
#55 784 14 34 0.41 0 102 440 540 105 76 min
#56 893 12 13 0.92 0 87 160 440 0 41 min
#57 705 12 14 0.86 0 86 160 480 0 41 min
#58 686 11 19 0.58 0 138 240 380 940 50 min
#59 744 11 9 1.22 0 111 600 580 0 76 min
#60 471 11 26 0.42 0 89 380 720 170 76 min
#61 734 11 20 0.55 1 81 260 320 418 43 min
#62 613 11 4 2.75 0 78 440 60 320 27 min
#63 648 11 24 0.46 0 74 520 140 30 50 min
#64 10 5 2.0 0 69 80 120 0 15 min
#65 491 10 10 1.0 1 69 220 480 0 43 min
#66 651 10 21 0.48 0 60 280 740 280 64 min
#67 571 10 25 0.4 0 57 340 740 0 79 min
#68 545 9 18 0.5 0 69 200 320 60 49 min
#69 494 8 14 0.57 1 131 360 1,040 0 76 min
#70 862 8 6 1.33 0 73 60 300 1,135 22 min
#71 714 8 17 0.47 0 63 240 760 115 76 min
#72 782 8 8 1.0 0 63 240 20 0 25 min
#73 836 8 12 0.67 1 63 200 100 240 26 min
#74 536 8 19 0.42 0 57 240 580 630 54 min
#75 460 8 11 0.73 0 57 300 300 0 51 min
#76 679 8 6 1.33 0 54 340 100 0 33 min
#77 530 7 6 1.17 1 364 240 1,160 0 76 min
#78 744 7 8 0.88 0 168 300 640 80 56 min
#79 588 7 30 0.23 0 71 260 800 345 76 min
#80 660 7 13 0.54 0 62 320 380 60 42 min
#81 738 7 12 0.58 1 56 300 700 80 65 min
#82 671 6 2 3.0 1 162 60 960 0 53 min
#83 743 6 4 1.5 2 122 60 720 0 50 min
#84 704 6 4 1.5 0 48 0 300 0 26 min
#85 437 6 15 0.4 0 45 380 240 150 43 min
#86 650 6 12 0.5 0 45 100 400 340 37 min
#87 475 6 6 1.0 0 42 0 320 131 23 min
#88 740 6 12 0.5 0 41 140 100 0 27 min
#89 526 6 16 0.38 0 39 300 920 120 76 min
#90 712 6 14 0.43 5 38 220 960 182 76 min
#91 6 3 2.0 0 33 80 180 0 15 min
#92 555 5 27 0.19 1 193 340 900 220 76 min
#93 472 5 17 0.29 1 87 160 380 145 38 min
#94 760 5 9 0.56 0 86 220 300 750 31 min
#95 640 5 6 0.83 0 51 800 180 145 51 min
#96 550 5 4 1.25 0 42 420 60 60 26 min
#97 5 4 1.25 0 39 20 20 0 8 min
#98 5 6 0.83 0 38 120 40 40 18 min
#99 5 6 0.83 0 38 60 100 0 12 min
#100 576 5 16 0.31 0 36 100 800 250 60 min
#101 693 5 14 0.36 1 32 240 820 30 72 min
#102 565 5 18 0.28 0 30 220 960 130 79 min
#103 544 4 6 0.67 0 51 180 340 0 37 min
#104 4 5 0.8 0 48 20 160 0 12 min
#105 593 4 11 0.36 0 36 140 180 0 27 min
#106 448 4 20 0.2 0 27 180 1,020 435 76 min
#107 608 4 10 0.4 0 27 200 100 103 37 min
#108 4 7 0.57 0 21 100 140 0 19 min
#109 448 4 5 0.8 0 18 20 1,120 0 63 min
#110 470 3 16 0.19 0 31 200 360 170 44 min
#111 711 3 17 0.18 0 24 180 280 60 41 min
#112 672 3 11 0.27 0 24 60 480 0 42 min
#113 3 6 0.5 0 21 140 60 0 19 min
#114 568 3 28 0.11 0 21 400 260 110 57 min
#115 3 4 0.75 0 15 180 100 0 19 min
#116 616 2 9 0.22 0 18 200 140 35 25 min
#117 449 2 10 0.2 0 17 420 80 50 33 min
#118 2 4 0.5 0 15 20 100 0 11 min
#119 2 3 0.67 0 15 0 180 30 14 min
#120 2 4 0.5 1 12 20 160 0 14 min
#121 787 2 16 0.12 0 12 220 900 370 76 min
#122 488 2 15 0.13 0 12 120 420 90 35 min
#123 2 8 0.25 0 12 120 20 25 13 min
#124 2 3 0.67 0 9 140 0 0 10 min
#125 667 1 4 0.25 8 674 0 1,480 225 76 min
#126 475 1 2 0.5 1 207 80 360 62 35 min
#127 749 1 3 0.33 0 122 180 680 0 44 min
#128 609 1 1 1.0 0 66 380 100 50 28 min
#129 1 0 1.0 0 59 40 0 0 2 min
#130 703 1 13 0.08 0 14 260 220 70 41 min
#131 1 5 0.2 0 14 160 80 132 18 min
#132 1 4 0.25 0 9 80 20 0 13 min
#133 1 2 0.5 0 9 0 260 100 14 min
#134 674 1 7 0.14 0 9 20 240 30 23 min
#135 1 11 0.09 0 9 80 140 0 18 min
#136 1 2 0.5 0 6 20 20 0 6 min
#137 551 0 4 0.0 3 674 0 1,400 122 76 min
#138 459 0 7 0.0 0 278 240 1,140 0 76 min
#139 613 0 4 0.0 0 201 80 360 40 35 min
#140 490 0 5 0.0 0 102 500 720 0 76 min
#141 0 2 0.0 1 0 60 40 0 11 min
#142 0 0 0.0 6 0 0 40 0 6 min
#143 0 0 0.0 0 0 0 0 0 0 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 1 0.0 0 0 0 220 0 15 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 0 0 0.0 5 0 0 40 0 4 min
#148 0 5 0.0 1 0 0 220 110 14 min
#149 0 0 0.0 0 0 0 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 1 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 2 0.0 0 0 0 40 0 5 min
#153 509 0 6 0.0 0 0 200 260 120 30 min
#154 0 0 0.0 0 0 0 200 0 9 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 1 0.0 0 0 0 60 0 6 min
#159 0 0 0.0 0 0 0 0 0 2 min
#160 0 0 0.0 0 0 0 0 0 0 min
#161 0 0 0.0 0 0 0 0 0 2 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 1 0.0 0 0 0 40 0 5 min
#164 0 1 0.0 0 0 0 0 0 2 min
#165 0 0 0.0 0 0 0 0 0 1 min
#166 0 0 0.0 0 0 0 0 0 1 min
#167 0 3 0.0 0 0 100 120 352 18 min
#168 840 0 5 0.0 0 0 0 400 0 23 min
#169 0 0 0.0 6 0 0 0 0 1 min
#170 0 0 0.0 0 0 0 0 0 1 min
#171 0 0 0.0 0 0 0 20 0 2 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 7 0.0 0 0 20 120 30 14 min
#174 0 0 0.0 0 0 0 0 0 1 min
#175 0 0 0.0 0 0 0 0 0 1 min
#176 0 8 0.0 0 0 60 20 0 12 min
#177 0 1 0.0 0 0 0 120 0 11 min
#178 0 2 0.0 0 0 60 0 0 11 min
#179 0 0 0.0 1 0 0 0 0 2 min
#180 0 0 0.0 0 0 0 0 0 1 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 0 0 2 min
#183 0 3 0.0 0 0 60 80 0 12 min
#184 0 1 0.0 0 0 20 20 40 4 min
#185 0 0 0.0 0 0 0 0 0 1 min
#186 0 4 0.0 0 0 40 200 0 19 min
#187 522 0 4 0.0 0 0 20 280 0 22 min
#188 0 0 0.0 0 0 0 0 0 1 min
#189 0 1 0.0 0 0 0 40 0 3 min
#190 0 0 0.0 0 0 0 0 0 1 min