hurtgenforest_warfare_V2

Hürtgen Forest Warfare Day

18.04.2026 12:52 | Chimera_5

Result

3:2

Axis wins

Players

198

Total Kills

2,143

Allied Kills

900

Axis Kills

1,243

Match Duration

90 min

Kills/Min

23.8

Normal Match ELO

Allies 1031.0 (all: 736.0)
Ø Match 1168.0
Axis 1306.0 (all: 809.0)
Highly imbalanced

Player Statistics (198)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1748 111 22 5.05 1 1,270 540 880 386 86 min
#2 1749 57 24 2.38 1 663 1,240 280 841 85 min
#3 937 54 13 4.15 0 884 80 1,140 50 68 min
#4 986 54 10 5.4 6 650 200 1,400 4,974 85 min
#5 1010 51 9 5.67 0 512 780 740 20 84 min
#6 771 49 34 1.44 2 1,248 520 760 325 85 min
#7 1345 45 24 1.88 0 901 300 680 105 61 min
#8 877 45 24 1.88 0 423 560 960 140 85 min
#9 944 39 36 1.08 0 1,331 1,080 260 20 85 min
#10 792 35 9 3.89 0 699 340 1,340 972 85 min
#11 850 33 13 2.54 2 1,179 420 1,140 282 85 min
#12 855 31 6 5.17 0 832 1,620 0 35 85 min
#13 972 31 19 1.63 0 674 600 420 5 58 min
#14 1145 31 17 1.82 0 426 160 800 775 59 min
#15 709 31 16 1.94 0 278 520 980 1,025 85 min
#16 1082 30 16 1.88 2 872 620 300 45 56 min
#17 746 29 31 0.94 1 1,134 500 880 3,036 85 min
#18 664 29 29 1.0 1 491 340 920 180 78 min
#19 752 29 28 1.04 0 271 160 1,240 195 87 min
#20 1053 27 27 1.0 0 700 180 1,060 2,130 85 min
#21 789 27 13 2.08 0 292 540 240 260 52 min
#22 942 25 13 1.92 0 840 480 240 165 43 min
#23 972 25 26 0.96 1 355 800 460 15 78 min
#24 936 25 23 1.09 1 342 680 820 3,261 85 min
#25 1019 25 28 0.89 1 294 760 680 30 85 min
#26 742 24 24 1.0 0 247 260 860 1,835 73 min
#27 919 23 24 0.96 0 448 360 220 15 41 min
#28 769 23 22 1.05 0 338 440 980 850 88 min
#29 728 23 10 2.3 0 285 40 1,160 1,985 69 min
#30 1154 23 7 3.29 0 195 60 400 40 30 min
#31 516 22 21 1.05 0 226 600 740 165 84 min
#32 1061 21 22 0.95 0 327 700 740 1,095 88 min
#33 1279 21 6 3.5 0 304 0 360 70 23 min
#34 657 20 23 0.87 0 1,296 1,280 220 356 85 min
#35 746 20 32 0.62 1 287 260 860 100 88 min
#36 1050 20 19 1.05 2 254 0 1,460 865 85 min
#37 796 20 12 1.67 0 176 280 280 225 36 min
#38 1035 19 9 2.11 0 321 260 480 5 47 min
#39 858 19 17 1.12 0 263 540 980 884 85 min
#40 705 19 24 0.79 1 242 120 1,280 767 85 min
#41 711 19 26 0.73 1 172 280 1,100 45 88 min
#42 617 18 45 0.4 0 226 280 860 75 88 min
#43 481 18 28 0.64 0 206 160 1,200 125 85 min
#44 1017 18 17 1.06 1 179 120 1,220 3,184 82 min
#45 910 17 39 0.44 3 811 500 360 175 65 min
#46 684 17 3 5.67 0 222 80 700 35 41 min
#47 685 17 39 0.44 1 205 300 980 5 85 min
#48 633 17 14 1.21 1 165 180 560 35 46 min
#49 17 2 8.5 0 163 80 120 5 11 min
#50 578 16 5 3.2 1 901 480 1,120 371 85 min
#51 838 16 22 0.73 0 184 200 720 10 58 min
#52 486 14 4 3.5 1 408 280 240 95 29 min
#53 683 14 31 0.45 0 344 340 320 0 50 min
#54 814 14 27 0.52 2 134 400 500 180 60 min
#55 769 14 13 1.08 0 111 380 300 15 43 min
#56 1030 13 16 0.81 1 389 240 520 580 44 min
#57 1102 13 2 6.5 0 262 160 180 5 21 min
#58 898 13 24 0.54 1 178 160 700 933 53 min
#59 816 13 9 1.44 0 114 260 220 5 36 min
#60 683 12 19 0.63 1 536 100 620 240 47 min
#61 702 12 11 1.09 0 377 300 160 5 42 min
#62 621 12 20 0.6 0 233 540 920 572 85 min
#63 783 12 15 0.8 0 131 260 500 100 50 min
#64 931 11 8 1.38 0 449 120 1,480 365 85 min
#65 871 11 12 0.92 0 192 0 1,520 155 85 min
#66 688 10 7 1.43 0 941 300 1,300 25 85 min
#67 1261 10 12 0.83 0 257 260 220 354 33 min
#68 1114 10 16 0.62 0 253 140 380 110 35 min
#69 667 10 6 1.67 0 243 220 260 10 24 min
#70 892 10 12 0.83 0 196 120 400 125 34 min
#71 661 10 11 0.91 0 171 160 280 75 40 min
#72 796 10 32 0.31 0 120 340 880 1,455 85 min
#73 603 10 12 0.83 0 114 480 560 170 79 min
#74 10 1 10.0 0 97 100 160 15 14 min
#75 796 10 28 0.36 0 91 440 260 15 48 min
#76 750 10 3 3.33 1 67 20 680 80 36 min
#77 602 9 26 0.35 0 252 160 1,140 330 81 min
#78 545 9 4 2.25 0 204 0 540 10 31 min
#79 774 9 2 4.5 5 174 200 840 5 56 min
#80 534 9 32 0.28 0 140 120 620 0 88 min
#81 649 9 17 0.53 0 138 540 400 796 59 min
#82 1446 9 6 1.5 0 137 160 140 115 26 min
#83 781 9 12 0.75 0 128 160 160 10 31 min
#84 732 9 20 0.45 0 97 240 600 0 49 min
#85 735 9 6 1.5 0 95 220 460 115 64 min
#86 893 9 7 1.29 0 89 80 340 40 24 min
#87 558 9 19 0.47 0 85 300 560 140 55 min
#88 582 8 4 2.0 1 327 380 640 35 54 min
#89 468 8 26 0.31 0 294 520 880 460 85 min
#90 707 8 20 0.4 7 293 660 820 3,936 85 min
#91 803 8 11 0.73 0 227 520 220 40 53 min
#92 851 8 14 0.57 0 135 220 160 10 29 min
#93 614 8 15 0.53 1 126 480 300 5 50 min
#94 829 8 11 0.73 0 100 260 360 95 41 min
#95 667 8 10 0.8 0 78 260 160 0 32 min
#96 857 8 19 0.42 0 75 240 240 0 36 min
#97 693 8 19 0.42 0 72 780 360 375 74 min
#98 574 8 10 0.8 0 66 180 360 20 33 min
#99 513 7 14 0.5 0 324 440 1,080 20 85 min
#100 623 7 15 0.47 0 305 160 300 80 35 min
#101 653 7 26 0.27 0 75 200 580 0 56 min
#102 713 6 3 2.0 1 123 140 860 35 55 min
#103 446 6 20 0.3 1 110 500 440 45 61 min
#104 6 4 1.5 0 76 0 280 5 20 min
#105 557 6 21 0.29 0 74 560 900 1,855 85 min
#106 830 6 12 0.5 0 63 420 600 270 61 min
#107 735 6 4 1.5 0 59 60 520 160 51 min
#108 633 5 3 1.67 0 88 0 420 5 22 min
#109 756 5 2 2.5 0 79 80 340 10 23 min
#110 5 2 2.5 1 60 20 340 10 19 min
#111 5 6 0.83 0 52 40 120 0 12 min
#112 536 5 23 0.22 0 50 80 860 5 59 min
#113 638 5 9 0.56 0 47 460 240 5 42 min
#114 588 5 9 0.56 0 43 180 160 0 40 min
#115 446 5 8 0.62 0 31 180 320 5 36 min
#116 875 4 6 0.67 0 232 160 220 75 22 min
#117 568 4 21 0.19 0 163 200 540 376 45 min
#118 962 4 7 0.57 0 135 100 180 175 23 min
#119 856 4 8 0.5 0 108 20 920 2,395 68 min
#120 454 4 36 0.11 0 77 360 760 235 85 min
#121 641 4 5 0.8 0 60 0 380 0 28 min
#122 4 1 4.0 0 48 0 240 0 17 min
#123 4 5 0.8 0 45 160 160 150 20 min
#124 4 4 1.0 0 40 160 40 5 14 min
#125 4 2 2.0 0 38 80 80 10 15 min
#126 647 4 7 0.57 0 36 40 380 155 31 min
#127 802 3 7 0.43 1 497 420 620 70 58 min
#128 3 1 3.0 0 221 20 120 70 8 min
#129 3 1 3.0 0 108 80 120 5 11 min
#130 3 4 0.75 0 34 140 100 0 17 min
#131 3 3 1.0 0 33 0 120 5 7 min
#132 3 2 1.5 1 28 120 60 161 11 min
#133 524 3 14 0.21 0 27 260 520 385 49 min
#134 621 3 2 1.5 0 25 60 300 75 20 min
#135 3 6 0.5 0 13 0 180 143 10 min
#136 680 2 17 0.12 0 70 140 700 780 56 min
#137 612 2 8 0.25 0 32 120 300 0 27 min
#138 2 0 2.0 0 28 0 120 0 7 min
#139 2 3 0.67 0 27 0 220 5 13 min
#140 505 2 5 0.4 0 24 80 520 85 38 min
#141 2 8 0.25 0 16 120 180 15 19 min
#142 2 3 0.67 1 15 100 40 0 11 min
#143 1 5 0.2 0 72 120 180 80 18 min
#144 470 1 6 0.17 0 19 100 300 0 25 min
#145 1 1 1.0 0 18 100 20 0 6 min
#146 1 5 0.2 0 15 100 140 60 16 min
#147 1 5 0.2 0 14 0 260 40 16 min
#148 503 1 5 0.2 0 14 40 280 10 21 min
#149 1 4 0.25 0 11 120 100 0 13 min
#150 1 0 1.0 0 10 0 320 150 16 min
#151 1 5 0.2 0 10 0 160 0 20 min
#152 552 1 7 0.14 0 10 120 200 5 21 min
#153 1 1 1.0 0 8 0 40 30 5 min
#154 583 0 2 0.0 0 231 0 420 85 24 min
#155 0 2 0.0 0 203 100 160 200 17 min
#156 585 0 5 0.0 0 193 0 560 15 31 min
#157 0 1 0.0 2 54 0 380 120 23 min
#158 0 2 0.0 0 53 80 100 0 17 min
#159 0 2 0.0 1 36 20 360 30 20 min
#160 0 1 0.0 0 27 0 240 10 14 min
#161 0 3 0.0 0 13 80 180 0 16 min
#162 0 1 0.0 0 7 20 80 0 6 min
#163 440 0 9 0.0 0 5 60 180 0 22 min
#164 0 3 0.0 0 4 40 220 0 16 min
#165 0 1 0.0 2 4 0 40 20 4 min
#166 0 3 0.0 0 4 0 100 0 7 min
#167 0 3 0.0 0 1 100 140 75 16 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 0 0 1 min
#170 0 0 0.0 0 0 0 0 0 2 min
#171 0 3 0.0 0 0 0 140 0 10 min
#172 0 0 0.0 0 0 0 0 0 1 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 1 0.0 0 0 40 240 105 16 min
#175 0 0 0.0 0 0 0 0 0 0 min
#176 0 1 0.0 0 0 80 160 0 17 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 20 40 20 6 min
#180 0 0 0.0 0 0 0 0 0 1 min
#181 0 1 0.0 0 0 0 100 5 22 min
#182 0 0 0.0 0 0 0 0 0 85 min
#183 0 2 0.0 0 0 60 0 0 5 min
#184 0 0 0.0 0 0 0 0 0 1 min
#185 0 0 0.0 0 0 20 0 10 3 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 2 min
#190 0 0 0.0 0 0 0 0 0 1 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 0 min
#194 0 3 0.0 0 0 40 40 0 11 min
#195 0 0 0.0 0 0 0 0 0 0 min
#196 0 0 0.0 0 0 0 0 0 1 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