hurtgenforest_warfare_V2_night

Hürtgen Forest Warfare Night

07.04.2025 17:28 | Comunidad_Hispana_3

Result

4:1

Axis wins

Players

189

Total Kills

2,666

Allied Kills

1,339

Axis Kills

1,327

Match Duration

92 min

Kills/Min

29.1

Normal Match ELO

Allies 1074.0 (all: 750.0)
Ø Match 1063.0
Axis 1052.0 (all: 748.0)

Player Statistics (189)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1213 86 21 4.1 0 779 1,000 480 135 88 min
#2 949 86 27 3.19 4 748 140 1,200 30 87 min
#3 864 73 5 14.6 4 622 420 1,280 233 87 min
#4 1294 71 40 1.77 1 627 480 820 316 88 min
#5 1166 61 27 2.26 1 976 520 840 60 87 min
#6 802 60 27 2.22 1 502 400 1,000 55 88 min
#7 1136 55 33 1.67 0 517 300 1,000 1,054 87 min
#8 1094 52 30 1.73 0 743 940 720 2,025 87 min
#9 807 49 9 5.44 6 913 680 860 85 87 min
#10 947 45 31 1.45 0 466 160 1,160 455 90 min
#11 1055 44 40 1.1 0 366 820 460 800 88 min
#12 916 41 21 1.95 4 356 420 960 1,406 83 min
#13 684 40 38 1.05 0 355 800 460 90 88 min
#14 841 39 35 1.11 1 490 920 440 111 87 min
#15 719 38 4 9.5 2 595 140 1,520 10 88 min
#16 990 38 31 1.23 1 465 320 1,120 3,572 87 min
#17 793 38 28 1.36 0 329 900 520 547 88 min
#18 968 34 25 1.36 0 439 420 920 110 90 min
#19 1190 34 22 1.55 0 387 1,120 360 599 87 min
#20 818 34 34 1.0 1 361 560 780 2,335 88 min
#21 765 33 31 1.06 0 349 940 460 487 87 min
#22 972 33 13 2.54 5 310 180 780 1,834 57 min
#23 1002 32 19 1.68 0 306 200 400 10 40 min
#24 848 31 33 0.94 1 429 500 620 60 83 min
#25 857 31 36 0.86 0 421 360 900 875 87 min
#26 530 31 19 1.63 0 293 340 880 25 80 min
#27 797 30 29 1.03 1 365 260 1,120 275 87 min
#28 744 30 24 1.25 1 276 480 760 455 82 min
#29 1026 29 31 0.94 0 280 300 1,020 983 89 min
#30 825 29 28 1.04 0 269 500 800 1,394 86 min
#31 588 29 38 0.76 7 240 480 680 180 89 min
#32 880 28 31 0.9 0 356 320 780 90 76 min
#33 610 28 28 1.0 0 277 100 1,180 0 87 min
#34 593 27 12 2.25 7 708 640 800 45 88 min
#35 708 27 24 1.12 0 257 100 1,300 1,433 87 min
#36 694 27 24 1.12 0 233 480 820 140 89 min
#37 827 26 25 1.04 0 470 240 1,100 75 84 min
#38 758 26 28 0.93 0 259 340 960 430 90 min
#39 640 26 33 0.79 0 247 520 680 115 88 min
#40 699 26 18 1.44 0 227 400 380 25 57 min
#41 848 26 19 1.37 0 210 260 740 310 66 min
#42 708 25 22 1.14 1 423 40 1,060 105 71 min
#43 917 25 23 1.09 1 303 300 480 69 56 min
#44 673 25 33 0.76 4 289 600 640 305 87 min
#45 951 25 27 0.93 0 282 460 300 50 60 min
#46 705 25 25 1.0 0 217 1,060 400 20 87 min
#47 741 24 31 0.77 0 208 100 700 280 65 min
#48 662 24 39 0.62 0 199 420 860 45 86 min
#49 1128 23 17 1.35 2 199 280 560 1,283 52 min
#50 745 22 10 2.2 0 338 380 240 25 44 min
#51 714 22 35 0.63 0 235 560 720 75 87 min
#52 974 22 15 1.47 3 225 500 300 35 56 min
#53 652 21 16 1.31 4 493 360 1,160 90 70 min
#54 527 21 23 0.91 0 179 480 640 517 88 min
#55 844 20 22 0.91 0 214 440 300 80 57 min
#56 1016 20 10 2.0 0 198 540 60 45 36 min
#57 764 19 33 0.58 4 208 440 840 2,713 90 min
#58 701 19 22 0.86 1 203 60 940 205 66 min
#59 581 19 28 0.68 0 192 140 1,260 510 87 min
#60 700 19 21 0.9 0 191 400 900 40 91 min
#61 673 19 9 2.11 0 173 440 80 125 52 min
#62 816 18 21 0.86 0 199 120 780 580 58 min
#63 532 18 29 0.62 1 177 500 1,140 45 88 min
#64 704 18 39 0.46 0 165 300 920 1,559 87 min
#65 589 17 23 0.74 0 267 820 480 250 87 min
#66 930 17 21 0.81 0 162 380 300 15 57 min
#67 814 16 8 2.0 0 177 20 340 0 24 min
#68 973 16 8 2.0 3 163 200 1,200 4,234 79 min
#69 665 16 20 0.8 0 157 380 580 35 59 min
#70 531 16 33 0.48 5 153 260 880 539 83 min
#71 674 16 25 0.64 1 152 420 540 40 63 min
#72 670 15 45 0.33 0 178 460 800 600 87 min
#73 559 15 27 0.56 0 131 160 700 15 58 min
#74 688 14 18 0.78 0 346 140 600 20 52 min
#75 836 14 14 1.0 0 251 360 160 35 36 min
#76 521 14 35 0.4 0 243 920 380 20 87 min
#77 685 14 18 0.78 0 152 820 320 739 69 min
#78 605 14 23 0.61 0 151 260 1,040 1,233 89 min
#79 668 14 28 0.5 0 125 380 1,020 1,480 87 min
#80 570 13 24 0.54 0 276 720 300 20 70 min
#81 535 13 33 0.39 1 117 680 240 140 70 min
#82 532 12 30 0.4 6 235 440 1,000 158 83 min
#83 531 12 40 0.3 2 138 160 1,140 981 86 min
#84 676 12 22 0.55 1 121 520 340 45 63 min
#85 832 11 2 5.5 2 566 100 720 1,380 28 min
#86 706 11 25 0.44 0 131 480 800 2,646 80 min
#87 508 11 20 0.55 1 114 420 540 35 67 min
#88 606 11 18 0.61 0 97 0 360 10 32 min
#89 863 10 15 0.67 0 118 1,180 240 478 87 min
#90 490 10 28 0.36 1 115 280 960 30 84 min
#91 592 10 30 0.33 1 98 760 600 810 88 min
#92 10 7 1.43 0 91 100 160 30 19 min
#93 10 7 1.43 1 78 120 140 205 18 min
#94 414 9 31 0.29 0 103 640 400 50 76 min
#95 923 9 13 0.69 0 89 160 280 163 31 min
#96 651 9 12 0.75 0 73 300 180 5 30 min
#97 578 8 9 0.89 0 98 20 780 130 48 min
#98 570 8 12 0.67 0 98 1,420 80 462 87 min
#99 562 8 23 0.35 0 84 300 320 85 44 min
#100 490 8 12 0.67 0 76 180 140 0 31 min
#101 634 7 17 0.41 0 106 0 700 80 47 min
#102 771 7 17 0.41 0 89 300 280 0 39 min
#103 717 7 15 0.47 0 78 180 740 20 59 min
#104 997 7 8 0.88 0 70 180 240 355 34 min
#105 867 6 19 0.32 0 116 200 240 65 33 min
#106 580 6 5 1.2 0 58 420 40 20 43 min
#107 692 5 3 1.67 0 102 100 260 15 21 min
#108 610 5 12 0.42 0 64 180 200 50 28 min
#109 491 5 19 0.26 0 56 0 880 5 58 min
#110 732 5 16 0.31 0 51 40 300 5 28 min
#111 5 6 0.83 0 46 80 140 175 15 min
#112 5 1 5.0 2 42 0 200 0 11 min
#113 705 4 10 0.4 0 794 680 880 280 87 min
#114 607 4 11 0.36 1 68 220 140 0 28 min
#115 590 4 9 0.44 0 44 1,220 320 10 87 min
#116 4 4 1.0 0 31 60 40 0 12 min
#117 3 1 3.0 0 32 40 40 0 7 min
#118 482 3 3 1.0 0 27 220 100 5 23 min
#119 2 4 0.5 0 22 60 20 5 15 min
#120 2 5 0.4 0 16 40 80 0 15 min
#121 2 2 1.0 0 12 0 40 5 4 min
#122 533 1 4 0.25 2 195 60 900 50 53 min
#123 531 1 11 0.09 0 40 220 420 5 43 min
#124 629 1 3 0.33 0 14 0 200 25 21 min
#125 1 1 1.0 0 9 60 100 95 15 min
#126 1 6 0.17 0 9 80 80 5 17 min
#127 1 2 0.5 0 8 0 100 0 6 min
#128 541 1 9 0.11 0 8 100 240 80 29 min
#129 1 2 0.5 0 8 0 60 55 10 min
#130 1 4 0.25 0 7 40 40 280 13 min
#131 741 0 8 0.0 0 562 140 1,540 395 87 min
#132 0 1 0.0 0 402 80 500 15 30 min
#133 0 0 0.0 0 22 120 340 780 0 min
#134 0 1 0.0 0 17 0 440 2,349 26 min
#135 0 6 0.0 0 7 20 100 10 10 min
#136 0 0 0.0 1 5 0 20 0 4 min
#137 502 0 13 0.0 0 4 100 300 0 29 min
#138 0 2 0.0 0 3 0 60 0 6 min
#139 0 10 0.0 0 3 120 80 50 17 min
#140 0 0 0.0 0 1 0 20 0 3 min
#141 0 1 0.0 0 1 0 0 25 2 min
#142 0 0 0.0 0 1 20 0 5 3 min
#143 0 0 0.0 0 1 0 0 0 2 min
#144 0 0 0.0 0 0 0 0 0 2 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 1 min
#147 0 0 0.0 0 0 0 60 10 3 min
#148 0 2 0.0 0 0 0 40 0 8 min
#149 0 0 0.0 0 0 0 0 0 2 min
#150 0 0 0.0 0 0 0 40 20 4 min
#151 0 0 0.0 0 0 0 0 0 1 min
#152 0 0 0.0 0 0 0 0 0 0 min
#153 0 0 0.0 0 0 0 0 0 87 min
#154 0 0 0.0 0 0 0 0 0 7 min
#155 0 0 0.0 0 0 0 0 0 5 min
#156 0 0 0.0 0 0 0 0 0 2 min
#157 0 1 0.0 0 0 0 0 0 4 min
#158 0 0 0.0 0 0 0 0 0 0 min
#159 0 0 0.0 0 0 0 0 0 1 min
#160 0 0 0.0 0 0 0 0 0 2 min
#161 0 3 0.0 0 0 40 40 0 8 min
#162 0 0 0.0 0 0 0 20 0 3 min
#163 0 0 0.0 0 0 0 0 0 1 min
#164 383 0 7 0.0 0 0 60 220 0 21 min
#165 0 0 0.0 0 0 0 0 0 2 min
#166 0 0 0.0 0 0 0 0 0 5 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 2 0.0 0 0 0 140 35 10 min
#169 0 0 0.0 0 0 0 20 0 3 min
#170 0 0 0.0 0 0 0 0 10 1 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 0 min
#174 0 0 0.0 0 0 0 0 0 3 min
#175 0 0 0.0 0 0 0 0 0 0 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 0 0 2 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 20 0 3 min
#180 0 0 0.0 0 0 0 0 0 1 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 20 0 0 2 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 0 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 2 min
#189 0 0 0.0 0 0 0 0 0 0 min