hurtgenforest_warfare_V2

Hürtgen Forest Warfare Day

31.10.2025 21:01 | [GER] Sandkasten der 106. Panzerbrigade

Result

3:2

Axis wins

Players

196

Total Kills

2,416

Allied Kills

1,176

Axis Kills

1,233

Match Duration

92 min

Kills/Min

26.3

High Match ELO

Allies 1228.0 (all: 847.0)
Ø Match 1323.0
Axis 1419.0 (all: 861.0)
Imbalanced

Player Statistics (196)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1831 81 38 2.13 0 1,208 520 780 300 87 min
#2 1550 77 31 2.48 0 1,371 680 700 30 87 min
#3 1018 70 26 2.69 0 862 420 900 2,230 87 min
#4 1000 62 30 2.07 0 806 160 1,140 290 87 min
#5 1187 61 29 2.1 0 934 380 1,000 25 87 min
#6 1252 61 34 1.79 0 587 460 1,000 2,169 87 min
#7 1352 57 23 2.48 0 480 380 740 1,273 82 min
#8 1140 50 23 2.17 1 665 260 1,200 305 87 min
#9 1125 49 25 1.96 1 1,382 940 500 170 87 min
#10 1217 49 41 1.2 3 665 460 800 255 86 min
#11 1068 46 20 2.3 0 738 460 1,080 385 87 min
#12 907 44 32 1.38 0 971 260 1,040 115 90 min
#13 1010 37 26 1.42 0 953 560 740 609 86 min
#14 1131 37 24 1.54 0 949 160 1,220 725 87 min
#15 1153 37 34 1.09 0 695 720 540 645 88 min
#16 1559 37 45 0.82 0 398 660 580 1,870 88 min
#17 929 37 20 1.85 0 358 60 1,380 285 92 min
#18 965 36 7 5.14 3 425 0 1,700 121 87 min
#19 1218 36 43 0.84 0 383 560 420 285 82 min
#20 1131 35 25 1.4 0 675 120 1,320 185 91 min
#21 871 35 12 2.92 0 447 240 920 105 89 min
#22 918 35 20 1.75 0 390 280 700 210 66 min
#23 725 34 42 0.81 1 413 780 480 50 89 min
#24 1068 32 34 0.94 0 489 980 340 25 85 min
#25 1251 32 9 3.56 0 453 580 240 15 56 min
#26 1222 32 13 2.46 0 321 100 600 15 44 min
#27 1715 32 15 2.13 0 257 160 380 210 38 min
#28 683 31 3 10.33 1 318 0 1,740 440 87 min
#29 752 30 25 1.2 1 316 660 700 145 88 min
#30 1685 29 11 2.64 0 323 220 400 193 41 min
#31 910 28 37 0.76 0 577 560 600 1,260 85 min
#32 795 27 13 2.08 0 405 1,340 280 115 87 min
#33 830 27 29 0.93 0 236 580 800 150 89 min
#34 656 26 21 1.24 0 570 540 860 275 86 min
#35 873 26 32 0.81 0 235 760 420 170 88 min
#36 1442 24 14 1.71 0 310 320 540 971 51 min
#37 1003 23 18 1.28 0 194 460 80 90 38 min
#38 1020 21 20 1.05 0 681 340 340 325 52 min
#39 1059 21 15 1.4 0 316 260 260 226 40 min
#40 790 19 32 0.59 0 529 820 500 443 87 min
#41 835 18 17 1.06 0 1,057 1,260 20 175 75 min
#42 644 18 25 0.72 0 978 1,000 460 1,100 87 min
#43 701 18 35 0.51 1 385 200 1,100 851 87 min
#44 714 18 6 3.0 2 290 140 560 240 42 min
#45 695 18 24 0.75 0 223 200 480 30 50 min
#46 1102 17 9 1.89 1 148 140 420 190 36 min
#47 1196 17 20 0.85 0 136 240 580 75 57 min
#48 830 16 13 1.23 0 618 520 300 60 52 min
#49 629 16 8 2.0 0 551 220 960 0 74 min
#50 838 16 29 0.55 0 166 560 860 1,287 87 min
#51 638 15 36 0.42 0 674 160 860 130 85 min
#52 760 15 4 3.75 0 601 100 680 5 41 min
#53 862 15 21 0.71 2 414 220 1,260 3,708 87 min
#54 1082 15 16 0.94 1 257 140 920 375 68 min
#55 847 15 25 0.6 3 250 240 1,200 1,606 87 min
#56 1049 15 4 3.75 0 208 200 440 1,795 41 min
#57 1139 15 17 0.88 0 202 440 160 188 43 min
#58 629 15 28 0.54 0 163 460 880 145 87 min
#59 554 15 22 0.68 0 145 140 1,340 408 87 min
#60 720 14 40 0.35 0 189 140 1,020 587 83 min
#61 772 14 35 0.4 1 145 600 440 583 77 min
#62 905 14 11 1.27 0 115 340 480 280 53 min
#63 1052 13 6 2.17 0 1,120 220 520 0 39 min
#64 864 13 20 0.65 0 912 1,360 140 665 87 min
#65 815 13 9 1.44 0 683 160 940 30 61 min
#66 467 13 22 0.59 0 182 360 960 125 88 min
#67 600 13 25 0.52 0 129 180 1,080 499 87 min
#68 778 13 11 1.18 1 106 0 840 530 57 min
#69 1076 13 8 1.62 0 106 20 420 150 29 min
#70 583 12 23 0.52 0 453 560 140 80 61 min
#71 875 12 10 1.2 1 369 340 440 320 46 min
#72 744 12 8 1.5 1 118 240 540 150 48 min
#73 12 5 2.4 0 92 100 200 5 19 min
#74 1187 11 32 0.34 0 109 40 1,340 947 87 min
#75 747 11 8 1.38 0 97 220 120 5 23 min
#76 679 10 35 0.29 0 522 360 960 555 88 min
#77 600 10 27 0.37 0 245 280 700 170 68 min
#78 1092 10 9 1.11 1 193 100 320 1,262 27 min
#79 554 10 18 0.56 0 108 440 340 0 63 min
#80 705 10 9 1.11 0 103 960 80 75 72 min
#81 757 10 28 0.36 0 101 160 1,220 70 88 min
#82 913 10 21 0.48 0 93 200 780 415 64 min
#83 818 10 33 0.3 0 90 560 700 0 88 min
#84 1173 10 5 2.0 0 81 20 300 301 30 min
#85 932 10 4 2.5 0 76 20 320 20 27 min
#86 739 10 5 2.0 0 65 260 80 5 21 min
#87 612 9 54 0.17 0 358 720 480 1,341 87 min
#88 689 9 10 0.9 0 101 20 640 25 40 min
#89 685 9 26 0.35 2 95 380 980 1,313 87 min
#90 421 8 12 0.67 1 271 80 1,420 0 87 min
#91 1105 8 7 1.14 0 99 140 260 0 26 min
#92 634 8 13 0.62 0 75 0 880 30 52 min
#93 8 9 0.89 0 62 40 140 55 13 min
#94 783 7 7 1.0 0 82 160 380 30 33 min
#95 835 7 39 0.18 1 79 640 520 760 86 min
#96 570 7 0 7.0 0 45 0 740 600 35 min
#97 799 6 3 2.0 0 685 200 640 130 43 min
#98 740 6 9 0.67 0 125 100 500 95 45 min
#99 817 6 10 0.6 0 119 120 200 670 27 min
#100 507 6 16 0.38 1 88 80 960 245 67 min
#101 802 6 17 0.35 0 66 60 480 25 41 min
#102 6 4 1.5 0 59 120 160 10 19 min
#103 572 6 23 0.26 0 58 740 400 0 80 min
#104 736 6 11 0.55 1 51 120 200 150 21 min
#105 735 6 15 0.4 1 49 660 340 20 73 min
#106 839 5 4 1.25 0 802 200 660 95 46 min
#107 5 8 0.62 0 139 100 120 10 17 min
#108 603 5 17 0.29 0 102 280 360 100 43 min
#109 546 5 17 0.29 0 52 240 320 180 42 min
#110 726 4 6 0.67 0 1,140 1,620 60 351 87 min
#111 620 4 9 0.44 1 272 100 1,460 95 87 min
#112 886 4 15 0.27 1 83 40 880 1,391 57 min
#113 460 4 15 0.27 0 44 460 60 25 43 min
#114 504 4 20 0.2 0 43 740 760 310 91 min
#115 4 0 4.0 0 41 40 0 0 4 min
#116 484 4 27 0.15 0 38 340 660 695 67 min
#117 4 3 1.33 0 37 0 80 5 8 min
#118 839 4 9 0.44 0 36 100 180 0 21 min
#119 4 3 1.33 0 34 0 40 10 7 min
#120 837 3 6 0.5 0 1,041 220 540 75 39 min
#121 532 3 11 0.27 0 44 60 1,120 265 73 min
#122 3 7 0.43 0 35 240 20 80 20 min
#123 3 5 0.6 0 33 40 160 0 15 min
#124 3 4 0.75 0 29 20 180 95 15 min
#125 538 2 2 1.0 0 49 60 300 431 21 min
#126 506 2 12 0.17 0 22 80 520 235 68 min
#127 2 2 1.0 0 19 20 140 0 15 min
#128 2 3 0.67 0 19 120 160 249 15 min
#129 2 2 1.0 0 13 100 60 0 11 min
#130 772 1 6 0.17 0 163 60 260 155 30 min
#131 445 1 3 0.33 1 70 220 220 0 29 min
#132 621 1 1 1.0 0 63 220 240 0 29 min
#133 1 0 1.0 0 60 0 60 0 6 min
#134 1 4 0.25 0 19 0 200 0 14 min
#135 1 3 0.33 0 15 60 60 0 10 min
#136 1 3 0.33 0 14 0 160 5 9 min
#137 576 1 11 0.09 0 13 0 720 926 48 min
#138 1 5 0.2 0 12 20 140 0 13 min
#139 563 1 4 0.25 0 12 80 200 0 21 min
#140 1 4 0.25 0 12 40 160 15 13 min
#141 1 0 1.0 0 11 0 80 0 6 min
#142 468 1 7 0.14 0 10 160 120 0 24 min
#143 1 3 0.33 0 10 60 120 0 16 min
#144 0 0 0.0 0 363 420 980 1,605 1 min
#145 0 0 0.0 0 177 180 160 0 0 min
#146 0 0 0.0 0 124 380 540 0 1 min
#147 0 1 0.0 0 50 20 160 0 16 min
#148 0 2 0.0 0 50 20 60 0 13 min
#149 471 0 13 0.0 0 12 20 1,020 190 66 min
#150 0 2 0.0 0 5 40 200 0 17 min
#151 0 3 0.0 0 4 0 60 5 18 min
#152 588 0 8 0.0 0 3 80 120 190 20 min
#153 0 0 0.0 0 2 40 0 0 4 min
#154 0 2 0.0 0 2 0 80 0 11 min
#155 0 1 0.0 0 2 20 0 15 8 min
#156 0 2 0.0 0 2 0 20 0 6 min
#157 590 0 5 0.0 0 1 60 200 0 22 min
#158 0 1 0.0 0 1 40 0 0 4 min
#159 0 2 0.0 0 1 40 120 0 12 min
#160 0 0 0.0 0 0 0 60 0 2 min
#161 0 0 0.0 0 0 0 0 0 31 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 0 0 1 min
#164 0 1 0.0 0 0 0 0 0 3 min
#165 0 0 0.0 0 0 0 0 0 1 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 0 0.0 0 0 0 60 0 2 min
#168 0 0 0.0 0 0 0 0 0 9 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 0 0 0 1 min
#171 0 0 0.0 0 0 0 0 0 3 min
#172 0 0 0.0 0 0 0 0 0 8 min
#173 0 0 0.0 0 0 0 0 0 8 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 0 0 1 min
#176 0 1 0.0 0 0 0 220 0 14 min
#177 0 0 0.0 0 0 0 40 0 3 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 0 0 10 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 1 0.0 0 0 20 0 0 5 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 4 0.0 0 0 0 80 0 9 min
#185 0 0 0.0 0 0 0 0 0 1 min
#186 0 0 0.0 0 0 0 0 0 87 min
#187 0 2 0.0 0 0 0 80 0 14 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 1 0.0 0 0 0 0 0 3 min
#191 0 0 0.0 0 0 20 0 0 4 min
#192 0 0 0.0 0 0 0 0 0 2 min
#193 0 1 0.0 0 0 0 0 0 3 min
#194 0 0 0.0 0 0 0 0 0 0 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