hurtgenforest_warfare_V2

Hürtgen Forest Warfare Day

09.05.2026 22:12 | [L9] The Loyal Nine

Result

4:1

Axis wins

Players

197

Total Kills

2,212

Allied Kills

1,037

Axis Kills

1,172

Match Duration

92 min

Kills/Min

24.1

Normal Match ELO

Allies 1148.0 (all: 800.0)
Ø Match 1119.0
Axis 1091.0 (all: 798.0)

Player Statistics (197)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1474 76 36 2.11 0 1,239 1,060 380 55 87 min
#2 1020 55 22 2.5 0 751 480 800 485 90 min
#3 1187 52 40 1.3 0 899 980 420 1,884 87 min
#4 1059 47 30 1.57 0 1,073 520 700 2,640 82 min
#5 679 46 35 1.31 0 787 560 580 100 80 min
#6 841 44 36 1.22 0 744 180 1,140 885 88 min
#7 984 44 20 2.2 0 442 320 980 510 88 min
#8 875 42 12 3.5 0 1,422 1,460 140 149 87 min
#9 1127 40 36 1.11 0 404 600 680 1,229 84 min
#10 974 39 19 2.05 0 363 960 300 125 78 min
#11 1224 38 16 2.38 0 434 260 940 25 76 min
#12 1011 37 5 7.4 0 518 220 1,320 3,135 85 min
#13 1382 36 17 2.12 1 1,183 380 600 1,300 63 min
#14 1095 36 29 1.24 1 857 540 660 60 76 min
#15 1111 35 28 1.25 1 912 160 820 290 64 min
#16 836 33 22 1.5 0 460 180 1,260 180 86 min
#17 781 31 35 0.89 0 714 1,000 160 390 87 min
#18 733 31 14 2.21 0 437 0 1,580 10 87 min
#19 855 30 19 1.58 4 766 200 1,300 280 87 min
#20 761 30 12 2.5 3 348 540 660 2,828 74 min
#21 814 29 12 2.42 0 268 840 440 270 73 min
#22 677 28 13 2.15 0 967 920 320 260 87 min
#23 959 27 32 0.84 0 354 740 380 141 73 min
#24 930 27 17 1.59 2 284 580 200 75 61 min
#25 997 26 20 1.3 0 594 860 340 683 73 min
#26 767 26 5 5.2 3 226 480 1,660 4,090 87 min
#27 846 25 27 0.93 0 782 520 840 1,466 87 min
#28 1067 25 29 0.86 1 427 260 880 1,391 87 min
#29 1057 25 36 0.69 0 348 400 740 647 85 min
#30 672 25 29 0.86 1 314 1,140 240 280 87 min
#31 1018 25 27 0.93 0 292 660 740 633 85 min
#32 738 24 4 6.0 5 800 460 940 10 75 min
#33 878 24 23 1.04 0 433 420 940 1,285 88 min
#34 624 24 24 1.0 0 354 280 840 203 87 min
#35 685 24 34 0.71 2 282 360 700 2,902 87 min
#36 730 24 6 4.0 0 235 520 1,040 65 87 min
#37 853 23 28 0.82 0 755 340 1,000 3,140 87 min
#38 848 23 18 1.28 0 263 180 940 200 72 min
#39 947 23 20 1.15 2 251 260 480 95 50 min
#40 934 23 7 3.29 0 240 100 620 0 47 min
#41 954 22 30 0.73 1 755 500 880 894 89 min
#42 714 22 25 0.88 0 705 1,100 300 50 88 min
#43 806 22 13 1.69 0 224 700 60 235 47 min
#44 782 21 24 0.88 0 224 120 660 470 56 min
#45 788 20 10 2.0 0 368 200 440 120 40 min
#46 760 20 14 1.43 1 315 1,040 80 167 62 min
#47 602 19 23 0.83 0 254 700 660 250 87 min
#48 19 7 2.71 0 247 200 80 85 19 min
#49 888 18 13 1.38 0 1,281 1,340 240 856 87 min
#50 1026 18 15 1.2 0 600 260 440 535 49 min
#51 906 18 16 1.12 0 228 840 500 20 77 min
#52 648 18 16 1.12 0 148 240 1,120 110 79 min
#53 724 17 33 0.52 0 376 1,160 200 1,467 87 min
#54 632 17 28 0.61 0 251 300 1,020 1,080 86 min
#55 715 17 29 0.59 0 144 320 740 250 76 min
#56 971 16 23 0.7 0 181 460 260 685 49 min
#57 906 16 4 4.0 0 163 0 820 190 47 min
#58 606 15 2 7.5 0 269 40 720 40 44 min
#59 792 15 21 0.71 0 206 220 520 240 50 min
#60 583 15 23 0.65 0 176 140 1,160 1,173 87 min
#61 924 15 26 0.58 0 148 80 1,380 1,134 88 min
#62 882 14 12 1.17 0 223 660 400 30 68 min
#63 14 4 3.5 0 197 0 260 5 17 min
#64 780 14 18 0.78 0 116 820 160 315 64 min
#65 887 13 4 3.25 0 800 540 1,100 215 88 min
#66 726 13 11 1.18 0 726 740 740 20 86 min
#67 895 13 6 2.17 0 450 0 400 10 23 min
#68 820 13 18 0.72 0 137 780 720 15 87 min
#69 1348 12 13 0.92 0 370 320 240 25 36 min
#70 1106 12 16 0.75 0 255 400 160 235 37 min
#71 675 12 17 0.71 0 174 100 560 0 47 min
#72 821 12 7 1.71 0 172 60 360 190 31 min
#73 772 12 23 0.52 0 150 440 740 582 79 min
#74 578 12 11 1.09 0 116 0 320 5 23 min
#75 819 11 19 0.58 0 634 180 1,400 735 87 min
#76 660 11 27 0.41 0 562 500 740 316 87 min
#77 707 11 14 0.79 0 177 540 540 250 65 min
#78 619 11 41 0.27 0 164 260 1,080 1,400 88 min
#79 806 11 9 1.22 0 108 100 880 15 58 min
#80 736 11 7 1.57 0 107 40 420 5 34 min
#81 1063 10 9 1.11 0 252 340 160 15 34 min
#82 886 10 8 1.25 3 161 340 980 50 73 min
#83 660 9 20 0.45 0 1,338 1,380 80 348 88 min
#84 697 9 16 0.56 0 237 140 760 425 57 min
#85 678 9 14 0.64 0 149 140 380 0 35 min
#86 745 9 9 1.0 0 90 280 220 5 37 min
#87 798 9 11 0.82 0 65 220 140 0 27 min
#88 545 8 10 0.8 0 93 700 360 25 66 min
#89 635 8 33 0.24 1 86 280 940 1,029 86 min
#90 8 4 2.0 0 76 0 120 45 8 min
#91 659 7 9 0.78 0 278 80 460 135 36 min
#92 508 7 11 0.64 0 211 880 1,180 85 87 min
#93 7 3 2.33 2 117 0 240 90 16 min
#94 772 7 14 0.5 0 76 240 540 5 49 min
#95 889 7 11 0.64 0 72 200 380 255 37 min
#96 676 6 10 0.6 0 71 0 340 75 68 min
#97 442 6 18 0.33 0 69 180 920 225 72 min
#98 1008 6 9 0.67 0 63 80 260 305 25 min
#99 6 4 1.5 0 63 120 140 95 19 min
#100 551 6 9 0.67 0 62 300 120 25 27 min
#101 859 6 10 0.6 0 61 0 360 5 26 min
#102 632 6 9 0.67 0 48 80 280 150 23 min
#103 910 5 3 1.67 0 763 400 940 65 74 min
#104 758 5 4 1.25 0 105 20 360 0 31 min
#105 816 5 7 0.71 0 92 40 220 0 23 min
#106 578 5 16 0.31 0 88 480 220 10 56 min
#107 997 4 14 0.29 0 102 120 200 650 23 min
#108 586 4 16 0.25 0 55 240 600 75 73 min
#109 4 3 1.33 0 36 20 40 0 6 min
#110 4 3 1.33 0 27 160 0 160 13 min
#111 528 3 12 0.25 0 53 340 880 230 79 min
#112 705 3 6 0.5 0 47 120 400 0 30 min
#113 3 4 0.75 0 43 0 160 30 13 min
#114 3 2 1.5 0 33 40 20 75 7 min
#115 784 3 5 0.6 0 32 100 160 15 21 min
#116 798 3 2 1.5 0 31 140 360 0 35 min
#117 653 3 5 0.6 0 28 80 260 75 23 min
#118 638 3 7 0.43 0 28 180 300 342 34 min
#119 3 5 0.6 0 25 100 160 75 17 min
#120 3 0 3.0 1 24 0 240 10 14 min
#121 3 2 1.5 0 23 80 20 45 10 min
#122 554 2 7 0.29 0 544 40 920 350 51 min
#123 494 2 32 0.06 0 261 280 1,060 2,058 87 min
#124 655 2 13 0.15 0 150 100 280 25 33 min
#125 2 8 0.25 0 97 20 200 235 20 min
#126 2 5 0.4 0 39 0 80 155 9 min
#127 611 2 6 0.33 0 33 220 120 0 23 min
#128 410 2 13 0.15 0 32 460 500 5 55 min
#129 530 2 18 0.11 0 28 20 520 100 35 min
#130 362 2 17 0.12 0 28 20 500 75 46 min
#131 2 6 0.33 0 26 140 60 5 17 min
#132 569 2 34 0.06 0 25 260 1,040 3,135 91 min
#133 2 7 0.29 0 20 120 0 5 18 min
#134 2 4 0.5 0 19 40 0 0 5 min
#135 2 2 1.0 0 18 120 60 75 13 min
#136 596 2 9 0.22 0 15 160 280 205 41 min
#137 1 1 1.0 0 160 100 80 35 11 min
#138 620 1 8 0.12 0 65 0 320 0 30 min
#139 1 6 0.17 0 59 0 200 300 15 min
#140 648 1 6 0.17 0 59 60 380 75 35 min
#141 624 1 8 0.12 0 26 0 300 20 22 min
#142 575 1 15 0.07 0 17 120 460 900 52 min
#143 1 2 0.5 0 12 0 200 15 13 min
#144 1 2 0.5 0 10 20 120 0 12 min
#145 1 3 0.33 0 9 20 60 0 8 min
#146 1 0 1.0 0 9 40 0 0 3 min
#147 1 1 1.0 0 8 120 0 0 12 min
#148 1 3 0.33 0 8 80 180 0 17 min
#149 1042 1 1 1.0 0 8 0 380 0 22 min
#150 611 0 13 0.0 2 16 120 160 5 30 min
#151 0 1 0.0 0 8 40 20 0 5 min
#152 0 1 0.0 0 7 140 60 0 14 min
#153 0 4 0.0 0 4 0 120 20 10 min
#154 0 5 0.0 2 4 60 80 33 13 min
#155 0 2 0.0 0 1 100 40 0 13 min
#156 0 1 0.0 0 1 0 160 5 10 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 0 0.0 0 0 0 0 0 0 min
#159 0 1 0.0 0 0 0 80 45 4 min
#160 0 0 0.0 0 0 0 0 0 15 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 1 0.0 0 0 0 20 0 3 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 1 min
#167 0 1 0.0 0 0 0 60 0 7 min
#168 0 0 0.0 0 0 0 0 0 4 min
#169 0 1 0.0 0 0 0 60 0 12 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 0 0 0 min
#172 0 0 0.0 0 0 0 0 0 2 min
#173 0 0 0.0 0 0 0 0 0 7 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 140 99 0 min
#176 0 0 0.0 0 0 0 0 0 1 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 1 0.0 0 0 0 20 0 3 min
#179 0 0 0.0 0 0 0 0 0 1 min
#180 0 0 0.0 0 0 0 0 0 0 min
#181 0 1 0.0 0 0 0 0 0 2 min
#182 0 0 0.0 0 0 0 0 0 24 min
#183 0 0 0.0 0 0 0 40 0 3 min
#184 0 2 0.0 0 0 0 20 0 5 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 0 0.0 0 0 0 0 0 1 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 2 0.0 0 0 40 80 0 7 min
#190 0 2 0.0 0 0 0 80 225 10 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 0 0.0 0 0 0 0 0 0 min
#193 0 0 0.0 0 0 0 0 0 1 min
#194 0 0 0.0 0 0 40 0 0 3 min
#195 0 1 0.0 0 0 40 20 0 9 min
#196 0 0 0.0 0 0 0 0 0 1 min
#197 0 2 0.0 0 0 0 0 0 4 min