elalamein_warfare_night

El Alamein Warfare Dusk

16.09.2025 19:15 | TACO | Lvl 50+ | Warfare | EU West

Result

0:5

Allied wins

Players

211

Total Kills

957

Allied Kills

539

Axis Kills

418

Match Duration

42 min

Kills/Min

22.6

High Match ELO

Allies 1283.0 (all: 895.0)
Ø Match 1221.0
Axis 1158.0 (all: 808.0)
Imbalanced

Player Statistics (211)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1438 41 15 2.73 0 539 240 360 5 39 min
#2 1042 31 5 6.2 1 733 160 600 5 38 min
#3 1312 31 14 2.21 0 582 200 420 465 37 min
#4 1203 30 10 3.0 1 658 240 380 95 38 min
#5 1388 30 18 1.67 1 413 80 600 50 38 min
#6 950 28 7 4.0 3 957 560 160 547 38 min
#7 1099 28 6 4.67 0 606 520 200 40 38 min
#8 711 27 13 2.08 0 293 20 600 135 38 min
#9 1690 26 16 1.62 0 470 300 320 110 38 min
#10 1152 26 6 4.33 0 396 340 360 15 38 min
#11 927 23 2 11.5 0 215 120 520 180 34 min
#12 1627 22 17 1.29 0 453 460 160 250 38 min
#13 1227 21 14 1.5 0 323 140 500 35 39 min
#14 1157 18 14 1.29 0 293 240 380 745 38 min
#15 1059 17 4 4.25 0 275 40 600 1,578 34 min
#16 883 17 21 0.81 0 251 180 400 365 38 min
#17 766 17 5 3.4 0 174 640 60 30 38 min
#18 1248 17 1 17.0 1 134 0 460 30 23 min
#19 1245 15 3 5.0 0 306 60 560 90 38 min
#20 1284 15 14 1.07 0 246 200 400 130 36 min
#21 774 14 2 7.0 0 437 120 640 5 38 min
#22 860 14 8 1.75 0 380 80 300 85 25 min
#23 798 14 16 0.88 0 128 180 260 195 31 min
#24 1061 13 15 0.87 0 106 280 160 95 29 min
#25 790 12 4 3.0 0 159 20 440 5 26 min
#26 1062 11 12 0.92 0 544 160 320 285 32 min
#27 798 11 11 1.0 2 463 300 400 935 38 min
#28 969 11 8 1.38 1 256 640 60 139 38 min
#29 802 11 7 1.57 0 201 280 420 0 37 min
#30 603 11 16 0.69 0 108 120 420 145 34 min
#31 817 11 14 0.79 0 105 340 320 704 38 min
#32 888 11 4 2.75 0 103 40 460 835 26 min
#33 910 10 4 2.5 0 437 300 320 75 38 min
#34 1079 10 5 2.0 0 189 40 360 268 24 min
#35 669 10 9 1.11 0 158 100 560 158 38 min
#36 1019 10 8 1.25 0 95 200 260 95 30 min
#37 568 9 7 1.29 0 232 0 380 485 33 min
#38 634 9 15 0.6 0 92 60 360 65 30 min
#39 1442 9 1 9.0 1 54 0 580 125 34 min
#40 763 8 9 0.89 0 117 120 240 10 25 min
#41 1312 8 6 1.33 0 115 180 300 45 27 min
#42 657 7 7 1.0 0 171 0 280 15 20 min
#43 893 7 13 0.54 0 158 220 360 180 38 min
#44 943 7 9 0.78 0 141 60 620 1,610 38 min
#45 7 2 3.5 0 101 0 40 0 6 min
#46 822 7 5 1.4 0 96 40 360 75 25 min
#47 896 7 18 0.39 0 85 200 300 579 34 min
#48 760 7 18 0.39 0 77 140 340 280 33 min
#49 708 7 15 0.47 0 67 260 380 422 38 min
#50 7 4 1.75 0 56 100 80 270 11 min
#51 1055 6 13 0.46 0 124 0 540 5 37 min
#52 676 6 8 0.75 0 110 60 420 5 33 min
#53 710 6 10 0.6 0 110 60 380 5 29 min
#54 844 6 15 0.4 0 92 200 260 10 30 min
#55 6 2 3.0 0 86 100 0 0 6 min
#56 673 6 11 0.55 0 69 140 320 100 30 min
#57 778 6 4 1.5 0 67 580 180 180 38 min
#58 675 6 8 0.75 0 59 20 380 25 25 min
#59 576 6 6 1.0 0 51 220 400 155 34 min
#60 660 6 7 0.86 0 49 0 500 20 27 min
#61 963 6 13 0.46 1 46 140 540 2,919 38 min
#62 486 5 3 1.67 0 142 60 240 0 24 min
#63 573 5 11 0.45 0 111 220 380 10 38 min
#64 641 5 0 5.0 4 102 0 820 5 38 min
#65 5 3 1.67 0 98 0 140 80 15 min
#66 5 8 0.62 0 57 100 100 90 15 min
#67 5 6 0.83 0 46 20 280 190 20 min
#68 1084 4 2 2.0 0 313 60 560 1,500 38 min
#69 508 4 14 0.29 0 258 200 320 35 38 min
#70 551 4 8 0.5 5 55 80 320 5 25 min
#71 640 4 11 0.36 0 41 40 320 70 23 min
#72 3 2 1.5 0 47 0 80 0 8 min
#73 760 3 13 0.23 0 43 280 360 414 39 min
#74 720 3 17 0.18 0 42 180 320 25 33 min
#75 3 6 0.5 0 33 100 60 5 12 min
#76 3 14 0.21 0 32 60 180 80 19 min
#77 3 5 0.6 0 30 40 140 5 13 min
#78 3 1 3.0 0 29 40 0 0 5 min
#79 3 2 1.5 0 26 20 0 15 4 min
#80 611 2 1 2.0 0 439 180 580 20 38 min
#81 808 2 4 0.5 0 287 60 620 580 38 min
#82 569 2 9 0.22 0 241 520 140 250 40 min
#83 521 2 14 0.14 0 150 20 320 155 27 min
#84 822 2 5 0.4 1 77 80 340 536 27 min
#85 2 2 1.0 0 73 40 40 5 8 min
#86 2 4 0.5 0 65 40 120 0 10 min
#87 648 2 11 0.18 0 28 100 260 120 28 min
#88 728 2 13 0.15 0 27 0 380 120 27 min
#89 2 1 2.0 0 27 0 100 0 8 min
#90 2 3 0.67 0 27 0 180 35 11 min
#91 2 4 0.5 0 23 100 80 0 15 min
#92 2 3 0.67 1 22 140 80 10 16 min
#93 654 2 3 0.67 0 20 80 220 30 20 min
#94 829 2 10 0.2 0 19 80 220 320 23 min
#95 2 1 2.0 0 10 40 100 45 7 min
#96 772 1 13 0.08 0 713 600 80 175 40 min
#97 609 1 7 0.14 0 312 120 460 180 32 min
#98 1 2 0.5 0 295 60 200 5 15 min
#99 1 1 1.0 0 155 40 0 0 6 min
#100 1 0 1.0 0 46 0 800 2,270 38 min
#101 435 1 17 0.06 0 39 140 360 405 38 min
#102 1 1 1.0 0 22 0 80 5 4 min
#103 1 5 0.2 0 18 140 0 0 9 min
#104 1 0 1.0 0 16 100 0 0 12 min
#105 1 1 1.0 0 15 0 60 0 9 min
#106 1 2 0.5 0 14 20 60 20 7 min
#107 1 2 0.5 0 13 0 60 75 5 min
#108 1 3 0.33 0 12 0 20 0 4 min
#109 1 1 1.0 0 12 80 60 45 11 min
#110 1 4 0.25 0 11 20 40 0 6 min
#111 1 8 0.12 0 10 20 240 505 20 min
#112 1 0 1.0 0 9 0 40 0 3 min
#113 1 5 0.2 0 6 0 80 0 9 min
#114 747 1 9 0.11 0 6 60 340 95 27 min
#115 732 0 5 0.0 0 714 160 600 10 38 min
#116 634 0 6 0.0 0 697 160 620 120 38 min
#117 563 0 2 0.0 0 429 180 620 120 38 min
#118 0 3 0.0 0 33 0 180 5 13 min
#119 483 0 8 0.0 0 15 140 260 285 24 min
#120 0 3 0.0 0 11 100 100 0 12 min
#121 662 0 13 0.0 0 6 20 240 330 22 min
#122 0 4 0.0 0 4 40 20 0 7 min
#123 0 0 0.0 0 4 0 60 0 3 min
#124 0 1 0.0 0 3 0 20 0 3 min
#125 0 1 0.0 0 3 0 40 0 5 min
#126 680 0 8 0.0 0 3 0 400 264 25 min
#127 0 1 0.0 0 2 0 60 0 4 min
#128 0 2 0.0 0 2 0 60 0 6 min
#129 0 4 0.0 0 1 0 120 0 9 min
#130 0 2 0.0 0 1 20 0 5 5 min
#131 0 4 0.0 0 1 100 80 20 13 min
#132 0 0 0.0 0 1 0 20 0 4 min
#133 0 0 0.0 0 0 0 0 0 1 min
#134 0 0 0.0 0 0 0 0 0 1 min
#135 0 0 0.0 0 0 0 60 0 3 min
#136 0 0 0.0 0 0 0 0 0 0 min
#137 0 0 0.0 0 0 0 0 0 1 min
#138 0 0 0.0 0 0 0 0 0 0 min
#139 0 1 0.0 0 0 0 80 0 5 min
#140 0 0 0.0 0 0 0 0 0 0 min
#141 0 2 0.0 0 0 0 0 0 4 min
#142 0 1 0.0 0 0 0 0 0 2 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 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 3 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 1 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 0 0.0 0 0 0 0 0 1 min
#153 0 0 0.0 0 0 0 0 0 3 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 2 0.0 0 0 0 20 0 3 min
#156 0 1 0.0 0 0 0 160 0 19 min
#157 0 1 0.0 0 0 0 40 0 2 min
#158 0 0 0.0 0 0 0 0 0 2 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 1 0.0 0 0 0 20 5 2 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 7 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 1 min
#165 0 0 0.0 0 0 0 60 0 4 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 2 min
#170 0 0 0.0 0 0 0 0 0 0 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 20 0 4 min
#174 0 1 0.0 0 0 0 20 62 3 min
#175 0 2 0.0 0 0 0 40 10 4 min
#176 0 0 0.0 0 0 0 0 0 1 min
#177 0 0 0.0 0 0 0 0 0 7 min
#178 0 1 0.0 0 0 0 20 10 3 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 1 0.0 0 0 0 120 0 10 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 2 min
#184 0 0 0.0 0 0 0 0 0 1 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 0 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 0 0.0 0 0 0 0 0 1 min
#190 0 0 0.0 0 0 0 0 0 0 min
#191 0 0 0.0 0 0 0 20 0 2 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 20 0 0 3 min
#195 0 0 0.0 0 0 0 0 0 1 min
#196 0 0 0.0 0 0 0 0 0 1 min
#197 0 2 0.0 0 0 20 80 0 9 min
#198 0 0 0.0 0 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 0 min
#201 0 4 0.0 0 0 0 120 0 13 min
#202 0 0 0.0 0 0 0 0 0 0 min
#203 0 0 0.0 0 0 0 0 0 0 min
#204 0 0 0.0 0 0 0 0 0 0 min
#205 0 0 0.0 0 0 0 0 0 1 min
#206 0 0 0.0 0 0 0 0 0 0 min
#207 0 0 0.0 0 0 0 0 0 3 min
#208 0 0 0.0 0 0 0 0 0 2 min
#209 0 1 0.0 0 0 0 20 5 4 min
#210 0 0 0.0 0 0 0 0 0 0 min
#211 0 0 0.0 0 0 0 0 0 0 min