junobeach_warfare_night

junobeach_warfare_night

05.06.2026 02:16 | TACO | Lvl 50+ | Warfare | EU West

Result

5:0

Axis wins

Players

221

Total Kills

892

Allied Kills

397

Axis Kills

495

Match Duration

50 min

Kills/Min

17.8

Low Match ELO

Allies 962.0 (all: 706.0)
Ø Match 993.0
Axis 1023.0 (all: 780.0)

Player Statistics (221)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1092 30 4 7.5 0 318 660 200 45 45 min
#2 1023 27 6 4.5 2 318 300 500 370 45 min
#3 962 24 15 1.6 2 316 420 200 15 43 min
#4 719 23 5 4.6 0 706 340 480 55 45 min
#5 851 23 7 3.29 6 369 100 580 1,456 41 min
#6 1018 22 8 2.75 0 289 100 520 738 38 min
#7 866 21 12 1.75 1 273 340 300 10 40 min
#8 971 20 13 1.54 0 202 0 660 200 40 min
#9 763 19 17 1.12 1 574 420 320 35 47 min
#10 968 19 8 2.38 0 226 180 460 685 38 min
#11 1178 19 5 3.8 0 152 180 380 65 34 min
#12 704 18 2 9.0 1 320 100 640 60 40 min
#13 746 18 7 2.57 0 263 380 440 15 45 min
#14 846 17 11 1.55 0 156 560 240 20 47 min
#15 1111 15 6 2.5 0 416 680 60 343 45 min
#16 830 15 10 1.5 0 297 180 560 0 45 min
#17 689 14 6 2.33 1 371 280 320 0 36 min
#18 702 14 9 1.56 0 204 240 400 15 45 min
#19 831 14 11 1.27 1 98 260 440 10 45 min
#20 767 13 11 1.18 2 234 200 580 50 45 min
#21 831 13 16 0.81 0 209 340 280 333 42 min
#22 1399 13 4 3.25 0 186 260 100 133 21 min
#23 638 13 3 4.33 0 159 120 640 185 47 min
#24 616 13 8 1.62 3 142 120 660 227 45 min
#25 742 12 5 2.4 0 382 200 440 15 35 min
#26 666 12 11 1.09 0 182 300 440 135 50 min
#27 651 12 11 1.09 0 127 360 420 80 46 min
#28 812 12 10 1.2 0 109 220 360 15 37 min
#29 1092 11 15 0.73 0 191 160 500 278 50 min
#30 789 11 8 1.38 1 159 180 500 0 39 min
#31 789 11 24 0.46 0 151 60 460 0 42 min
#32 605 11 2 5.5 0 127 160 720 25 45 min
#33 898 10 9 1.11 0 180 140 520 966 45 min
#34 620 10 16 0.62 0 171 60 560 419 42 min
#35 839 10 11 0.91 0 145 360 400 295 45 min
#36 831 10 3 3.33 0 141 180 180 20 21 min
#37 892 10 11 0.91 0 128 360 400 45 47 min
#38 587 10 13 0.77 0 115 240 520 220 45 min
#39 818 9 22 0.41 0 236 420 220 1,700 47 min
#40 9 1 9.0 1 84 0 260 157 19 min
#41 864 9 8 1.12 0 79 200 480 432 45 min
#42 717 8 9 0.89 2 151 300 360 15 40 min
#43 641 8 13 0.62 0 118 100 420 25 36 min
#44 703 8 9 0.89 0 74 340 260 5 41 min
#45 723 7 3 2.33 0 315 100 540 110 40 min
#46 628 7 19 0.37 0 235 320 280 360 48 min
#47 714 7 10 0.7 0 119 440 320 40 45 min
#48 457 7 5 1.4 0 108 120 720 10 45 min
#49 495 7 9 0.78 0 66 200 480 5 41 min
#50 978 7 2 3.5 0 58 40 260 155 22 min
#51 740 6 6 1.0 0 200 100 220 0 22 min
#52 621 6 8 0.75 0 156 240 120 75 33 min
#53 990 6 9 0.67 0 108 160 420 105 37 min
#54 709 6 16 0.38 0 94 160 560 100 45 min
#55 783 6 13 0.46 0 86 320 280 552 40 min
#56 6 3 2.0 0 56 0 100 0 9 min
#57 550 6 8 0.75 0 56 100 660 5 45 min
#58 613 6 1 6.0 0 56 0 740 10 40 min
#59 6 1 6.0 0 54 60 140 914 10 min
#60 684 5 11 0.45 0 306 200 380 5 45 min
#61 5 2 2.5 0 115 40 200 0 16 min
#62 704 5 8 0.62 0 88 400 340 490 38 min
#63 802 5 6 0.83 0 80 260 420 79 44 min
#64 864 5 14 0.36 0 73 0 640 100 42 min
#65 5 7 0.71 0 60 60 140 0 16 min
#66 589 5 13 0.38 0 52 160 560 562 42 min
#67 657 4 2 2.0 1 317 100 660 120 40 min
#68 840 4 7 0.57 0 195 420 40 185 42 min
#69 1022 4 5 0.8 0 153 160 160 0 24 min
#70 723 4 4 1.0 0 104 100 520 50 40 min
#71 831 4 3 1.33 0 84 140 340 200 28 min
#72 506 4 7 0.57 0 44 0 700 0 41 min
#73 4 3 1.33 0 40 80 140 5 16 min
#74 719 4 9 0.44 0 37 120 400 470 33 min
#75 596 4 4 1.0 0 37 60 300 5 33 min
#76 564 4 4 1.0 0 32 240 620 65 47 min
#77 525 4 4 1.0 0 27 200 520 410 45 min
#78 612 3 5 0.6 0 261 440 280 15 43 min
#79 620 3 3 1.0 0 80 80 320 5 28 min
#80 586 3 13 0.23 0 42 360 380 0 48 min
#81 436 3 5 0.6 0 39 220 240 0 28 min
#82 699 3 6 0.5 0 29 160 220 550 27 min
#83 3 2 1.5 0 23 0 120 75 9 min
#84 3 2 1.5 0 21 40 140 0 10 min
#85 663 2 5 0.4 0 620 340 500 100 45 min
#86 2 1 2.0 0 168 60 20 0 6 min
#87 700 2 12 0.17 0 82 460 320 85 47 min
#88 401 2 14 0.14 0 72 0 560 155 42 min
#89 794 2 17 0.12 0 47 60 440 330 40 min
#90 828 2 7 0.29 0 40 0 560 10 33 min
#91 662 2 2 1.0 0 32 0 300 448 62 min
#92 2 4 0.5 0 27 0 140 5 13 min
#93 490 2 3 0.67 0 25 120 180 0 27 min
#94 947 2 13 0.15 0 24 60 360 160 31 min
#95 2 8 0.25 0 23 160 20 185 17 min
#96 502 2 5 0.4 0 22 320 500 0 47 min
#97 443 2 11 0.18 0 21 0 660 25 42 min
#98 2 1 2.0 0 20 0 140 120 8 min
#99 2 2 1.0 0 20 100 60 5 10 min
#100 2 3 0.67 0 20 0 100 150 12 min
#101 2 4 0.5 2 19 0 300 10 20 min
#102 606 2 3 0.67 0 18 100 400 1,091 35 min
#103 609 2 6 0.33 2 17 0 320 5 24 min
#104 652 2 4 0.5 0 13 180 260 5 25 min
#105 1 2 0.5 0 180 80 0 0 11 min
#106 1 2 0.5 0 69 120 100 0 13 min
#107 748 1 2 0.5 0 62 20 560 0 34 min
#108 682 1 14 0.07 0 23 300 400 135 45 min
#109 679 1 3 0.33 0 18 0 320 10 21 min
#110 1 4 0.25 0 17 200 40 0 18 min
#111 1 1 1.0 0 17 0 20 0 3 min
#112 1 7 0.14 0 17 40 220 65 19 min
#113 388 1 8 0.12 0 16 20 400 297 29 min
#114 1 1 1.0 0 15 60 40 5 6 min
#115 1 1 1.0 0 13 40 0 20 4 min
#116 1 0 1.0 0 10 60 40 20 6 min
#117 1 2 0.5 0 10 40 180 0 13 min
#118 1 1 1.0 0 9 0 60 0 9 min
#119 1 0 1.0 0 9 20 0 0 2 min
#120 1 1 1.0 0 8 20 0 0 3 min
#121 0 0 0.0 0 385 460 500 0 0 min
#122 0 0 0.0 0 207 180 120 0 0 min
#123 0 0 0.0 0 206 180 400 110 0 min
#124 0 0 0.0 0 174 0 400 5 0 min
#125 0 0 0.0 0 138 420 620 1,202 0 min
#126 0 0 0.0 0 94 80 600 135 0 min
#127 620 0 8 0.0 0 64 80 140 0 20 min
#128 757 0 8 0.0 0 54 0 800 1,950 45 min
#129 0 1 0.0 0 40 60 0 0 6 min
#130 0 0 0.0 0 20 80 40 0 8 min
#131 0 5 0.0 0 20 140 80 10 16 min
#132 0 0 0.0 0 11 120 120 0 0 min
#133 0 2 0.0 0 9 20 200 5 16 min
#134 0 0 0.0 0 7 0 40 60 5 min
#135 0 0 0.0 0 5 0 80 0 5 min
#136 0 3 0.0 0 3 60 200 75 16 min
#137 0 1 0.0 0 2 0 220 36 14 min
#138 0 1 0.0 0 2 0 40 0 4 min
#139 0 0 0.0 0 2 0 60 65 8 min
#140 0 0 0.0 0 2 0 20 0 2 min
#141 0 3 0.0 0 1 0 140 0 10 min
#142 0 1 0.0 0 1 0 40 10 5 min
#143 0 0 0.0 0 0 0 20 0 2 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 0 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 0 0 3 min
#149 0 0 0.0 0 0 0 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 2 min
#151 0 0 0.0 0 0 40 0 0 3 min
#152 0 0 0.0 0 0 0 0 0 1 min
#153 0 0 0.0 0 0 0 0 0 2 min
#154 0 0 0.0 0 0 0 0 0 1 min
#155 0 0 0.0 0 0 0 0 0 2 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 1 0.0 0 0 0 80 20 7 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 0 0 12 min
#161 0 0 0.0 0 0 0 0 0 1 min
#162 0 0 0.0 0 0 0 0 0 0 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 0 0 2 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 0 0.0 0 0 0 0 0 2 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 40 20 0 5 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 0 0.0 0 0 0 0 0 1 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 0 0.0 0 0 0 0 0 2 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 0 0.0 0 0 0 0 0 2 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 0 0.0 0 0 0 0 0 0 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 140 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 1 min
#185 0 0 0.0 0 0 0 0 0 1 min
#186 0 0 0.0 0 0 0 0 0 2 min
#187 0 0 0.0 0 0 40 0 0 6 min
#188 0 0 0.0 0 0 0 0 0 2 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 0 0.0 0 0 0 20 0 2 min
#191 0 0 0.0 0 0 0 0 0 1 min
#192 0 1 0.0 0 0 20 0 0 4 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 0 0.0 0 0 0 20 25 4 min
#195 0 0 0.0 0 0 0 20 0 2 min
#196 0 0 0.0 0 0 0 60 0 4 min
#197 0 0 0.0 0 0 0 0 0 2 min
#198 0 0 0.0 0 0 0 0 0 2 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 0 0.0 0 0 0 0 0 2 min
#202 0 0 0.0 0 0 0 0 0 0 min
#203 0 3 0.0 0 0 0 200 110 18 min
#204 0 0 0.0 0 0 0 0 0 1 min
#205 0 0 0.0 0 0 40 0 0 3 min
#206 0 0 0.0 0 0 0 0 0 0 min
#207 0 0 0.0 0 0 0 0 0 2 min
#208 0 0 0.0 0 0 0 0 0 0 min
#209 0 0 0.0 0 0 0 0 0 3 min
#210 0 0 0.0 0 0 0 0 0 1 min
#211 0 0 0.0 0 0 0 0 0 1 min
#212 0 1 0.0 0 0 0 40 0 5 min
#213 0 0 0.0 0 0 0 0 0 2 min
#214 0 2 0.0 0 0 0 120 0 13 min
#215 0 0 0.0 0 0 60 20 97 6 min
#216 0 0 0.0 0 0 0 0 0 2 min
#217 0 0 0.0 0 0 0 0 0 7 min
#218 0 0 0.0 0 0 0 0 0 0 min
#219 0 0 0.0 0 0 0 0 0 0 min
#220 0 0 0.0 0 0 0 0 0 2 min
#221 0 0 0.0 0 0 0 0 0 0 min