hurtgenforest_warfare_V2

Hürtgen Forest Warfare Day

25.04.2026 20:29 | GERMAN_BATTLEGROUND_4

Result

5:0

Axis wins

Players

193

Total Kills

2,063

Allied Kills

980

Axis Kills

1,074

Match Duration

74 min

Kills/Min

27.8

High Match ELO

Allies 1220.0 (all: 757.0)
Ø Match 1298.0
Axis 1376.0 (all: 814.0)
Imbalanced

Player Statistics (193)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1502 70 21 3.33 0 817 680 600 1,076 70 min
#2 1770 70 35 2.0 0 791 300 820 1,295 70 min
#3 1424 66 24 2.75 1 809 240 900 1,780 70 min
#4 1416 63 32 1.97 0 804 640 420 280 70 min
#5 1250 45 31 1.45 2 1,082 960 140 1,093 72 min
#6 1218 45 29 1.55 0 800 180 940 1,522 70 min
#7 1115 45 34 1.32 0 433 620 360 40 72 min
#8 1690 43 20 2.15 0 544 320 480 684 50 min
#9 874 41 17 2.41 0 467 500 700 217 70 min
#10 932 40 29 1.38 0 554 220 780 10 70 min
#11 969 40 27 1.48 3 492 220 900 390 70 min
#12 848 39 17 2.29 3 701 640 400 355 62 min
#13 1065 37 29 1.28 0 932 320 660 40 70 min
#14 1086 36 34 1.06 0 455 660 480 486 72 min
#15 967 35 31 1.13 0 402 120 1,020 125 70 min
#16 950 35 23 1.52 0 327 380 460 1,500 53 min
#17 952 33 22 1.5 0 407 900 240 1,875 72 min
#18 33 3 11.0 0 320 80 200 20 16 min
#19 1018 32 35 0.91 0 541 840 120 120 65 min
#20 1360 32 20 1.6 0 435 20 480 355 34 min
#21 1177 30 12 2.5 0 318 160 580 322 45 min
#22 924 28 10 2.8 0 926 460 220 160 42 min
#23 674 28 16 1.75 0 340 180 980 35 70 min
#24 657 28 22 1.27 0 299 600 560 5 70 min
#25 880 27 19 1.42 0 480 220 960 1,087 70 min
#26 967 27 12 2.25 0 280 380 800 105 72 min
#27 1090 27 8 3.38 1 238 440 100 5 34 min
#28 829 26 9 2.89 0 336 120 880 1,580 70 min
#29 853 26 14 1.86 0 251 300 600 170 60 min
#30 803 26 2 13.0 0 241 180 1,120 30 69 min
#31 701 26 24 1.08 0 236 380 660 115 70 min
#32 827 26 12 2.17 1 226 520 700 850 70 min
#33 616 23 30 0.77 0 226 180 920 75 70 min
#34 496 22 21 1.05 0 182 680 460 15 70 min
#35 841 20 35 0.57 0 300 740 320 780 72 min
#36 708 19 18 1.06 0 305 0 1,140 240 69 min
#37 751 18 31 0.58 0 407 440 600 5 70 min
#38 966 17 13 1.31 0 1,353 1,060 220 384 70 min
#39 693 17 18 0.94 1 276 460 740 116 70 min
#40 678 17 27 0.63 0 141 180 860 795 72 min
#41 622 16 30 0.53 0 576 940 120 95 72 min
#42 746 16 8 2.0 0 153 140 620 0 48 min
#43 826 15 24 0.62 0 140 760 240 470 65 min
#44 635 15 18 0.83 0 127 780 120 40 67 min
#45 975 14 12 1.17 0 612 260 320 20 39 min
#46 761 14 19 0.74 0 170 180 720 277 58 min
#47 14 6 2.33 0 164 100 120 5 16 min
#48 830 13 18 0.72 0 156 180 880 395 70 min
#49 1022 13 3 4.33 2 138 60 240 425 20 min
#50 592 13 11 1.18 0 117 240 480 0 43 min
#51 866 13 19 0.68 1 108 520 80 669 44 min
#52 811 12 38 0.32 1 153 460 540 220 70 min
#53 667 12 11 1.09 1 149 180 460 150 38 min
#54 602 12 14 0.86 0 106 100 500 210 40 min
#55 1106 12 15 0.8 0 85 100 400 646 32 min
#56 536 11 11 1.0 0 496 680 200 0 50 min
#57 509 11 21 0.52 1 300 240 840 5 72 min
#58 760 11 19 0.58 3 133 620 600 1,115 70 min
#59 660 11 29 0.38 1 120 660 380 1,300 70 min
#60 575 11 25 0.44 0 103 220 940 5 70 min
#61 717 11 15 0.73 0 96 500 0 225 35 min
#62 953 11 12 0.92 0 95 360 80 150 31 min
#63 10 6 1.67 0 282 160 20 0 14 min
#64 621 10 7 1.43 4 166 280 940 1,235 67 min
#65 658 10 22 0.45 0 149 160 960 606 72 min
#66 559 10 13 0.77 0 119 480 380 150 56 min
#67 601 10 21 0.48 0 109 0 1,120 648 69 min
#68 694 9 7 1.29 0 429 560 580 855 63 min
#69 686 9 17 0.53 0 291 560 700 586 70 min
#70 759 9 14 0.64 0 178 0 760 160 48 min
#71 572 9 13 0.69 0 173 440 280 85 54 min
#72 768 9 0 9.0 0 163 0 1,160 1,480 62 min
#73 521 9 11 0.82 3 144 260 540 160 46 min
#74 704 9 16 0.56 0 136 40 640 115 44 min
#75 534 9 8 1.12 2 78 340 460 0 46 min
#76 674 9 10 0.9 0 76 80 340 75 31 min
#77 746 8 17 0.47 0 212 300 620 575 58 min
#78 951 8 5 1.6 0 121 40 300 5 22 min
#79 681 8 12 0.67 0 116 560 60 10 44 min
#80 500 8 16 0.5 0 95 780 420 150 70 min
#81 8 12 0.67 0 74 100 80 10 15 min
#82 8 6 1.33 0 68 180 20 60 12 min
#83 820 8 9 0.89 0 68 240 80 255 21 min
#84 748 7 6 1.17 0 289 500 20 130 42 min
#85 523 7 10 0.7 0 116 280 300 150 56 min
#86 491 7 15 0.47 0 105 320 900 405 70 min
#87 7 3 2.33 0 69 0 200 10 17 min
#88 789 7 15 0.47 1 68 440 100 55 44 min
#89 813 7 8 0.88 0 61 140 440 80 36 min
#90 574 7 11 0.64 0 61 300 360 75 44 min
#91 659 6 10 0.6 0 150 20 440 15 30 min
#92 498 6 4 1.5 0 71 40 500 300 32 min
#93 603 6 15 0.4 0 64 520 700 695 70 min
#94 852 6 18 0.33 0 51 340 200 375 40 min
#95 636 6 10 0.6 0 50 20 260 225 22 min
#96 615 5 5 1.0 1 86 100 380 225 31 min
#97 758 5 4 1.25 0 77 40 200 5 20 min
#98 551 5 16 0.31 0 68 280 480 0 49 min
#99 701 5 20 0.25 0 63 820 280 140 70 min
#100 490 5 11 0.45 0 61 220 200 5 34 min
#101 5 7 0.71 0 59 120 80 5 17 min
#102 605 5 12 0.42 0 59 180 140 0 26 min
#103 618 5 23 0.22 0 58 400 280 235 54 min
#104 5 3 1.67 0 48 100 120 5 15 min
#105 483 5 16 0.31 1 48 540 660 165 70 min
#106 602 5 9 0.56 0 45 20 700 75 46 min
#107 739 5 11 0.45 0 40 240 140 75 29 min
#108 827 4 7 0.57 0 89 80 220 10 23 min
#109 4 3 1.33 0 84 40 240 155 19 min
#110 491 4 18 0.22 0 72 40 580 300 50 min
#111 401 4 9 0.44 0 53 60 320 5 26 min
#112 790 4 27 0.15 0 50 540 460 0 69 min
#113 4 9 0.44 0 45 160 20 180 17 min
#114 529 4 5 0.8 1 45 0 580 5 35 min
#115 488 4 8 0.5 0 41 240 240 160 33 min
#116 4 2 2.0 0 40 100 60 5 11 min
#117 4 2 2.0 0 35 100 0 0 70 min
#118 4 2 2.0 0 33 0 140 80 12 min
#119 614 3 11 0.27 0 94 0 740 195 45 min
#120 564 3 5 0.6 0 86 340 320 0 39 min
#121 416 3 17 0.18 0 65 900 280 15 72 min
#122 748 3 7 0.43 0 51 160 100 75 34 min
#123 545 3 14 0.21 0 37 300 180 540 56 min
#124 3 5 0.6 0 27 120 200 95 19 min
#125 3 2 1.5 0 22 0 100 5 8 min
#126 767 3 12 0.25 0 20 220 60 345 21 min
#127 3 4 0.75 0 14 60 200 0 15 min
#128 2 1 2.0 0 45 120 60 70 11 min
#129 830 2 1 2.0 0 36 0 360 15 21 min
#130 481 2 7 0.29 0 27 120 200 200 28 min
#131 655 2 5 0.4 0 24 0 380 279 23 min
#132 549 2 13 0.15 0 23 260 380 365 39 min
#133 2 4 0.5 0 22 20 80 140 18 min
#134 715 2 17 0.12 0 21 20 580 245 42 min
#135 2 7 0.29 0 21 100 40 80 13 min
#136 2 3 0.67 0 19 40 40 10 6 min
#137 747 1 7 0.14 0 119 340 60 0 26 min
#138 1 3 0.33 0 19 0 60 0 9 min
#139 1 10 0.1 0 17 80 40 5 12 min
#140 410 1 9 0.11 0 15 220 200 190 27 min
#141 1 3 0.33 0 15 40 60 0 10 min
#142 542 1 7 0.14 1 14 60 240 0 21 min
#143 1 1 1.0 0 12 0 100 0 5 min
#144 1 1 1.0 0 10 0 60 0 6 min
#145 847 1 6 0.17 0 10 40 160 180 20 min
#146 607 0 4 0.0 1 23 100 340 5 26 min
#147 475 0 6 0.0 0 12 180 160 180 22 min
#148 0 3 0.0 0 10 0 160 25 13 min
#149 0 2 0.0 0 8 40 0 25 2 min
#150 0 3 0.0 0 6 40 100 75 11 min
#151 471 0 9 0.0 0 3 0 480 0 32 min
#152 0 3 0.0 0 3 60 160 120 17 min
#153 0 2 0.0 0 2 0 220 0 17 min
#154 0 1 0.0 0 2 0 40 0 4 min
#155 0 0 0.0 0 2 0 120 0 7 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 0 0.0 0 0 0 0 0 0 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 3 0 0 40 0 5 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 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 40 0 3 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 0 0.0 0 0 0 0 0 1 min
#168 0 0 0.0 0 0 0 0 0 1 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 3 0.0 0 0 0 20 35 3 min
#172 0 0 0.0 0 0 0 0 0 1 min
#173 0 0 0.0 0 0 0 40 0 4 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 1 0.0 0 0 0 60 0 5 min
#176 0 0 0.0 0 0 0 0 0 3 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 4 0.0 0 0 0 20 0 2 min
#180 0 0 0.0 0 0 20 0 0 4 min
#181 0 0 0.0 0 0 0 0 0 1 min
#182 0 0 0.0 0 0 0 0 0 1 min
#183 0 0 0.0 0 0 0 0 0 1 min
#184 0 0 0.0 0 0 0 0 0 4 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 0 0.0 0 0 0 60 0 3 min
#187 0 0 0.0 0 0 0 0 0 3 min
#188 0 0 0.0 0 0 0 0 0 2 min
#189 0 0 0.0 0 0 0 0 0 1 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 2 min