junobeach_warfare_morning

junobeach_warfare_morning

05.06.2026 11:45 | ! ! !GERMAN BATTLEGROUND #2 | NEW PLAYER FRIENDLY | GBG-HLL.COM

Result

0:5

Allied wins

Players

205

Total Kills

1,755

Allied Kills

908

Axis Kills

847

Match Duration

73 min

Kills/Min

24.0

High Match ELO

Allies 1316.0 (all: 867.0)
Ø Match 1276.0
Axis 1237.0 (all: 798.0)

Player Statistics (205)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1158 53 24 2.21 0 1,451 500 560 205 68 min
#2 1567 53 32 1.66 3 992 500 500 190 69 min
#3 1403 52 15 3.47 1 1,138 840 120 125 56 min
#4 1292 40 27 1.48 0 665 460 640 70 68 min
#5 1476 39 34 1.15 0 856 620 340 25 68 min
#6 1160 39 19 2.05 0 671 940 280 20 68 min
#7 1926 38 18 2.11 0 384 180 480 343 40 min
#8 746 37 18 2.06 0 1,019 1,040 180 461 68 min
#9 1024 36 18 2.0 0 458 420 820 1,439 71 min
#10 1102 35 24 1.46 0 320 280 860 1,821 68 min
#11 1153 34 21 1.62 0 395 520 240 530 48 min
#12 1017 31 23 1.35 0 779 360 700 395 71 min
#13 1077 29 21 1.38 0 545 620 200 40 59 min
#14 989 29 17 1.71 0 473 520 280 370 61 min
#15 823 28 5 5.6 0 1,372 580 680 185 67 min
#16 990 28 37 0.76 0 377 360 560 50 68 min
#17 804 28 15 1.87 0 219 580 420 175 63 min
#18 841 27 24 1.12 0 357 220 860 25 66 min
#19 903 27 16 1.69 1 275 360 240 150 44 min
#20 894 26 16 1.62 1 740 300 720 265 67 min
#21 833 25 11 2.27 2 562 540 120 10 39 min
#22 1213 25 21 1.19 0 556 480 440 300 59 min
#23 1164 25 21 1.19 0 354 280 720 105 68 min
#24 946 25 18 1.39 0 283 500 480 651 60 min
#25 976 24 26 0.92 0 483 480 580 280 68 min
#26 897 23 25 0.92 0 204 240 600 300 68 min
#27 796 22 28 0.79 0 410 400 620 290 68 min
#28 797 22 22 1.0 0 346 460 140 30 42 min
#29 779 22 12 1.83 0 255 880 320 60 68 min
#30 963 22 29 0.76 0 183 460 660 60 68 min
#31 1470 21 10 2.1 0 341 300 120 95 26 min
#32 1063 19 27 0.7 0 345 40 880 620 68 min
#33 914 19 21 0.9 1 239 400 640 316 70 min
#34 1372 19 19 1.0 0 234 200 440 180 44 min
#35 982 18 27 0.67 0 176 500 360 551 59 min
#36 843 17 22 0.77 0 403 40 1,100 170 68 min
#37 869 17 5 3.4 3 219 100 1,240 3,360 68 min
#38 650 17 21 0.81 1 215 440 640 140 68 min
#39 718 17 16 1.06 0 214 20 680 25 50 min
#40 922 16 11 1.45 1 703 740 520 10 68 min
#41 797 16 18 0.89 1 484 480 480 105 68 min
#42 691 15 20 0.75 0 459 260 600 55 53 min
#43 813 14 37 0.38 0 365 0 920 1,015 68 min
#44 827 14 15 0.93 0 310 300 500 1,904 53 min
#45 593 13 16 0.81 0 312 20 480 110 35 min
#46 750 13 11 1.18 0 128 160 300 10 48 min
#47 798 12 7 1.71 0 344 280 440 255 50 min
#48 714 12 8 1.5 0 155 0 660 85 39 min
#49 573 12 6 2.0 0 108 700 100 15 44 min
#50 862 11 8 1.38 1 673 780 480 120 68 min
#51 720 11 34 0.32 0 184 420 440 0 71 min
#52 1074 11 11 1.0 0 123 200 500 35 43 min
#53 580 11 13 0.85 1 122 120 920 25 64 min
#54 667 11 14 0.79 0 112 120 520 10 46 min
#55 744 10 13 0.77 0 772 720 220 185 55 min
#56 1007 10 12 0.83 0 395 200 360 10 45 min
#57 1189 10 8 1.25 0 218 40 360 35 28 min
#58 926 10 20 0.5 0 180 220 780 2,933 68 min
#59 1087 10 7 1.43 0 114 20 300 10 22 min
#60 10 6 1.67 0 94 260 20 10 19 min
#61 746 10 26 0.38 0 94 500 500 150 68 min
#62 663 9 5 1.8 1 406 680 580 45 69 min
#63 689 9 12 0.75 0 82 40 440 0 33 min
#64 659 9 10 0.9 0 80 200 140 80 22 min
#65 894 9 7 1.29 0 80 0 440 292 26 min
#66 9 6 1.5 5 77 200 80 113 17 min
#67 855 9 9 1.0 0 72 180 400 155 35 min
#68 624 9 13 0.69 0 64 500 480 230 57 min
#69 808 8 10 0.8 0 1,337 560 660 135 67 min
#70 8 6 1.33 0 110 200 0 5 14 min
#71 588 8 6 1.33 1 83 120 260 0 28 min
#72 8 8 1.0 0 79 160 40 0 19 min
#73 727 8 13 0.62 0 67 220 520 630 45 min
#74 8 3 2.67 0 61 240 0 80 13 min
#75 863 7 14 0.5 1 389 40 460 25 33 min
#76 872 7 22 0.32 0 127 20 1,200 1,991 68 min
#77 810 7 8 0.88 0 123 60 720 2,271 46 min
#78 704 7 16 0.44 0 122 280 800 25 70 min
#79 825 7 12 0.58 1 77 380 220 10 39 min
#80 7 4 1.75 0 65 40 160 0 16 min
#81 621 7 10 0.7 0 65 380 300 121 45 min
#82 6 6 1.0 0 297 220 40 130 15 min
#83 743 6 8 0.75 0 271 140 360 0 31 min
#84 6 4 1.5 0 254 140 80 268 15 min
#85 1057 6 2 3.0 0 205 40 300 195 23 min
#86 6 6 1.0 0 110 100 120 25 15 min
#87 639 6 14 0.43 0 108 280 620 668 61 min
#88 718 6 23 0.26 1 67 240 640 465 53 min
#89 6 4 1.5 0 55 100 20 0 7 min
#90 500 6 12 0.5 0 52 680 520 666 68 min
#91 618 5 2 2.5 0 150 200 200 5 27 min
#92 5 4 1.25 0 99 60 120 0 13 min
#93 5 3 1.67 0 95 80 120 0 14 min
#94 5 5 1.0 0 81 80 120 10 13 min
#95 754 5 13 0.38 0 78 300 520 1,815 53 min
#96 715 5 8 0.62 0 75 80 200 328 21 min
#97 1101 5 10 0.5 0 51 120 280 0 25 min
#98 482 5 12 0.42 0 50 360 800 0 68 min
#99 754 5 14 0.36 0 48 240 760 0 68 min
#100 603 5 13 0.38 0 46 300 280 0 38 min
#101 5 1 5.0 0 42 60 0 0 4 min
#102 5 9 0.56 0 38 60 40 0 12 min
#103 865 5 4 1.25 1 34 0 580 130 40 min
#104 4 1 4.0 0 108 120 20 5 10 min
#105 529 4 8 0.5 0 87 520 220 5 42 min
#106 552 4 7 0.57 0 87 200 260 0 30 min
#107 574 4 8 0.5 1 59 60 320 0 28 min
#108 654 4 9 0.44 0 48 140 40 0 21 min
#109 818 4 4 1.0 0 43 0 140 80 21 min
#110 4 1 4.0 0 39 80 100 0 11 min
#111 931 3 4 0.75 0 383 220 160 187 25 min
#112 3 2 1.5 0 180 40 100 115 9 min
#113 3 3 1.0 0 55 200 100 874 16 min
#114 698 3 6 0.5 0 39 80 200 50 20 min
#115 653 3 8 0.38 0 37 0 400 20 29 min
#116 775 3 7 0.43 0 37 240 320 15 49 min
#117 3 2 1.5 0 33 100 80 0 12 min
#118 3 2 1.5 0 27 40 20 10 5 min
#119 3 2 1.5 0 26 80 0 150 10 min
#120 3 4 0.75 0 26 0 180 5 16 min
#121 489 3 5 0.6 0 24 100 260 55 48 min
#122 3 6 0.5 0 15 20 120 0 16 min
#123 2 5 0.4 0 163 160 0 5 14 min
#124 745 2 4 0.5 5 52 100 200 5 39 min
#125 541 2 9 0.22 0 24 0 340 25 24 min
#126 603 2 9 0.22 0 23 60 180 0 21 min
#127 2 6 0.33 0 23 40 80 60 11 min
#128 555 2 12 0.17 0 23 120 160 105 21 min
#129 2 1 2.0 0 23 40 0 5 2 min
#130 536 2 7 0.29 0 21 0 300 75 23 min
#131 583 2 7 0.29 0 17 240 180 150 29 min
#132 2 6 0.33 0 16 0 80 0 8 min
#133 2 1 2.0 0 16 0 60 0 6 min
#134 2 1 2.0 0 14 0 40 10 12 min
#135 463 1 4 0.25 1 433 820 520 25 68 min
#136 1 2 0.5 0 408 620 840 499 14 min
#137 589 1 3 0.33 0 266 540 420 110 38 min
#138 1 3 0.33 0 162 100 0 0 8 min
#139 673 1 2 0.5 0 62 0 480 0 29 min
#140 500 1 10 0.1 0 60 0 300 120 21 min
#141 508 1 8 0.12 0 57 400 100 0 32 min
#142 1 0 1.0 0 55 20 0 0 1 min
#143 1 3 0.33 0 47 140 120 190 18 min
#144 1 4 0.25 0 13 80 80 20 12 min
#145 1 3 0.33 0 13 140 60 0 19 min
#146 1 1 1.0 0 12 160 20 0 11 min
#147 619 1 6 0.17 0 12 60 340 90 29 min
#148 1 3 0.33 0 12 80 20 0 7 min
#149 1 2 0.5 0 12 60 0 0 7 min
#150 575 1 3 0.33 0 10 60 260 150 37 min
#151 1 2 0.5 0 8 180 60 0 17 min
#152 1 2 0.5 0 7 60 40 0 27 min
#153 463 0 3 0.0 1 318 800 520 60 68 min
#154 823 0 3 0.0 0 151 340 80 165 23 min
#155 0 0 0.0 0 144 80 580 5 68 min
#156 0 2 0.0 0 94 560 580 80 9 min
#157 464 0 2 0.0 1 59 0 540 5 31 min
#158 0 1 0.0 0 18 40 160 0 13 min
#159 0 1 0.0 0 7 20 180 15 13 min
#160 884 0 7 0.0 0 4 240 100 60 24 min
#161 0 2 0.0 0 2 0 40 15 22 min
#162 0 4 0.0 0 2 0 120 405 7 min
#163 0 2 0.0 0 1 120 20 35 9 min
#164 0 2 0.0 0 1 60 0 0 6 min
#165 0 1 0.0 0 1 0 20 5 1 min
#166 0 1 0.0 0 1 60 0 0 5 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 4 0.0 0 0 20 120 45 68 min
#169 0 0 0.0 0 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 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 0 120 0 8 min
#176 0 0 0.0 0 0 0 20 0 3 min
#177 0 1 0.0 1 0 0 40 0 64 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 0 0 3 min
#183 0 1 0.0 0 0 0 0 0 3 min
#184 0 0 0.0 0 0 0 60 0 4 min
#185 0 0 0.0 0 0 0 0 0 0 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 20 100 0 11 min
#189 0 0 0.0 0 0 0 0 0 1 min
#190 0 1 0.0 0 0 0 20 0 6 min
#191 0 0 0.0 0 0 0 20 0 5 min
#192 0 0 0.0 0 0 0 0 0 68 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 0 0.0 0 0 0 0 0 1 min
#196 0 0 0.0 0 0 0 0 0 0 min
#197 0 0 0.0 0 0 0 0 0 0 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 2 0.0 0 0 0 40 0 4 min
#201 0 0 0.0 0 0 0 0 0 0 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