hurtgenforest_warfare_V2

Hürtgen Forest Warfare Day

15.05.2026 19:27 | Comunidad_Hispana_2

Result

2:3

Allied wins

Players

191

Total Kills

2,394

Allied Kills

1,153

Axis Kills

1,241

Match Duration

92 min

Kills/Min

26.1

High Match ELO

Allies 1387.0 (all: 878.0)
Ø Match 1390.0
Axis 1394.0 (all: 866.0)

Player Statistics (191)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1762 93 34 2.74 0 1,740 560 740 360 89 min
#2 1953 89 32 2.78 0 883 660 320 105 68 min
#3 1265 63 41 1.54 0 1,055 680 560 85 87 min
#4 1289 58 31 1.87 0 723 1,080 280 175 87 min
#5 1437 48 20 2.4 0 949 640 740 120 82 min
#6 961 47 11 4.27 2 1,560 360 1,080 200 87 min
#7 1834 47 13 3.62 0 459 260 500 175 45 min
#8 1196 46 20 2.3 0 1,082 680 440 70 67 min
#9 724 46 20 2.3 0 1,010 520 860 35 87 min
#10 806 43 28 1.54 0 535 380 740 45 72 min
#11 1543 42 44 0.95 0 827 420 820 1,495 87 min
#12 638 42 10 4.2 4 372 0 1,660 240 87 min
#13 1220 41 27 1.52 0 954 440 760 95 81 min
#14 1100 40 25 1.6 0 770 360 1,080 184 88 min
#15 1145 39 30 1.3 0 460 480 820 1,538 83 min
#16 1039 38 32 1.19 0 515 260 1,100 125 89 min
#17 785 36 30 1.2 0 487 620 780 1,373 87 min
#18 1155 36 47 0.77 0 478 460 700 80 91 min
#19 1213 36 36 1.0 0 379 60 1,340 1,184 88 min
#20 617 36 37 0.97 0 337 240 1,100 515 87 min
#21 967 35 10 3.5 0 1,489 600 740 299 77 min
#22 1130 35 30 1.17 0 508 400 980 765 91 min
#23 1655 34 21 1.62 0 319 500 160 215 65 min
#24 860 33 20 1.65 0 746 1,140 60 125 77 min
#25 926 33 14 2.36 2 504 360 840 195 76 min
#26 927 33 16 2.06 0 301 340 1,180 145 91 min
#27 1081 32 18 1.78 0 1,963 1,420 140 95 87 min
#28 917 32 14 2.29 0 390 0 1,540 255 87 min
#29 743 31 35 0.89 0 831 920 300 160 88 min
#30 1101 30 29 1.03 0 433 380 580 210 64 min
#31 1022 28 21 1.33 0 1,251 1,380 160 670 87 min
#32 1021 28 17 1.65 2 394 100 1,380 4,930 87 min
#33 1077 27 26 1.04 0 784 280 500 60 66 min
#34 1047 27 21 1.29 0 504 480 360 399 56 min
#35 1324 26 10 2.6 0 755 700 60 30 44 min
#36 833 25 7 3.57 2 1,276 400 1,200 215 87 min
#37 838 24 14 1.71 0 457 460 1,040 806 86 min
#38 750 24 15 1.6 0 217 180 760 60 70 min
#39 939 22 36 0.61 0 505 80 1,100 105 90 min
#40 1054 22 40 0.55 0 467 380 780 455 87 min
#41 750 21 9 2.33 1 1,575 320 1,220 45 87 min
#42 785 21 17 1.24 0 378 300 460 10 63 min
#43 781 21 19 1.11 8 277 280 1,260 5,399 87 min
#44 1046 21 18 1.17 0 251 220 400 35 45 min
#45 978 20 34 0.59 0 455 1,160 220 829 88 min
#46 1005 20 12 1.67 0 448 0 1,480 686 86 min
#47 832 20 29 0.69 0 359 80 1,100 834 77 min
#48 1101 20 15 1.33 0 165 200 260 20 37 min
#49 819 19 21 0.9 0 1,111 1,220 120 407 88 min
#50 853 19 42 0.45 0 647 440 820 220 87 min
#51 965 18 21 0.86 0 732 560 660 3,090 87 min
#52 2119 18 9 2.0 0 365 40 260 40 21 min
#53 705 18 34 0.53 1 176 340 1,040 1,037 88 min
#54 986 17 23 0.74 0 525 480 1,500 140 74 min
#55 811 17 9 1.89 0 460 420 540 340 63 min
#56 529 17 28 0.61 0 199 360 1,060 100 87 min
#57 675 15 38 0.39 0 237 240 1,100 25 87 min
#58 725 15 15 1.0 0 156 60 700 85 48 min
#59 733 14 22 0.64 0 269 160 1,020 1,100 82 min
#60 518 14 25 0.56 0 230 480 840 95 88 min
#61 958 14 7 2.0 0 138 400 140 200 36 min
#62 1363 14 12 1.17 0 134 100 280 20 25 min
#63 781 14 17 0.82 0 125 460 360 795 60 min
#64 684 13 20 0.65 0 418 1,120 360 909 88 min
#65 565 13 21 0.62 0 393 440 1,060 60 88 min
#66 914 13 6 2.17 0 166 100 360 5 28 min
#67 557 12 6 2.0 1 921 280 1,080 145 87 min
#68 623 12 27 0.44 0 562 780 480 510 87 min
#69 854 12 27 0.44 0 532 440 500 110 68 min
#70 932 12 7 1.71 0 506 100 240 75 21 min
#71 693 12 24 0.5 0 349 1,340 80 438 87 min
#72 725 11 25 0.44 0 345 120 1,160 340 88 min
#73 781 11 22 0.5 0 217 420 680 40 70 min
#74 478 11 28 0.39 0 210 480 700 250 81 min
#75 692 11 11 1.0 0 117 900 620 198 87 min
#76 898 11 6 1.83 0 115 200 160 110 27 min
#77 1087 11 18 0.61 0 106 200 280 130 42 min
#78 914 11 13 0.85 0 102 80 560 15 42 min
#79 11 6 1.83 0 96 100 80 5 12 min
#80 645 11 9 1.22 0 78 280 260 150 43 min
#81 620 10 12 0.83 0 160 20 480 205 38 min
#82 1027 10 9 1.11 0 153 20 400 255 29 min
#83 664 10 29 0.34 0 107 140 1,220 617 86 min
#84 801 9 30 0.3 0 509 180 740 75 73 min
#85 571 9 17 0.53 1 475 0 1,480 394 87 min
#86 576 9 30 0.3 0 396 480 460 195 67 min
#87 490 9 24 0.38 0 156 240 1,080 495 90 min
#88 661 8 4 2.0 0 187 40 500 15 37 min
#89 777 8 9 0.89 0 85 120 640 50 44 min
#90 461 7 8 0.88 0 495 460 640 105 67 min
#91 612 7 26 0.27 1 453 180 1,160 1,610 88 min
#92 836 7 22 0.32 0 441 340 460 45 53 min
#93 7 2 3.5 0 177 160 80 5 15 min
#94 721 7 11 0.64 0 164 660 560 95 86 min
#95 1038 7 7 1.0 0 158 120 220 225 22 min
#96 696 7 14 0.5 0 126 340 200 10 37 min
#97 949 7 5 1.4 0 94 40 760 660 52 min
#98 599 6 24 0.25 0 281 340 1,160 2,297 89 min
#99 795 6 12 0.5 0 124 200 380 80 45 min
#100 498 6 27 0.22 0 120 1,040 280 255 87 min
#101 469 6 21 0.29 0 45 260 1,120 1,231 87 min
#102 907 5 16 0.31 0 89 160 480 261 52 min
#103 658 5 10 0.5 0 57 100 140 0 22 min
#104 5 3 1.67 0 53 0 40 5 6 min
#105 562 5 23 0.22 0 41 180 1,000 465 75 min
#106 670 4 27 0.15 0 111 0 760 125 57 min
#107 515 4 18 0.22 0 49 380 440 346 58 min
#108 621 4 6 0.67 0 28 120 160 0 21 min
#109 568 3 8 0.38 0 1,486 360 1,220 155 87 min
#110 568 3 15 0.2 0 335 0 1,600 1,795 90 min
#111 786 3 11 0.27 0 39 40 480 225 38 min
#112 3 3 1.0 0 33 100 20 0 13 min
#113 3 4 0.75 0 32 80 180 242 18 min
#114 476 3 30 0.1 0 31 500 740 499 85 min
#115 742 3 6 0.5 0 30 40 860 185 68 min
#116 3 6 0.5 0 27 80 100 170 15 min
#117 3 4 0.75 0 26 140 80 0 17 min
#118 2 3 0.67 0 158 20 40 85 16 min
#119 2 6 0.33 0 65 160 20 10 14 min
#120 657 2 9 0.22 1 40 40 580 15 38 min
#121 674 2 8 0.25 0 27 160 140 5 23 min
#122 2 1 2.0 0 16 0 40 50 6 min
#123 1 7 0.14 0 63 20 120 0 12 min
#124 1 5 0.2 0 57 60 140 10 14 min
#125 313 1 17 0.06 0 40 340 960 120 87 min
#126 474 1 5 0.2 1 14 220 380 0 37 min
#127 1 5 0.2 0 13 40 140 0 42 min
#128 1 2 0.5 0 11 20 100 15 9 min
#129 1 3 0.33 0 9 0 60 0 7 min
#130 1 5 0.2 0 9 20 160 10 13 min
#131 1 1 1.0 0 7 0 0 0 5 min
#132 1 0 1.0 0 7 20 0 0 2 min
#133 1 1 1.0 0 7 0 20 0 6 min
#134 559 0 7 0.0 0 13 20 340 495 29 min
#135 575 0 3 0.0 1 4 0 380 30 24 min
#136 0 3 0.0 0 3 0 120 0 12 min
#137 0 1 0.0 0 2 0 120 10 8 min
#138 0 2 0.0 0 2 0 80 0 7 min
#139 0 2 0.0 0 1 0 80 0 8 min
#140 0 2 0.0 0 1 20 20 0 8 min
#141 0 0 0.0 0 1 100 0 5 10 min
#142 0 1 0.0 0 1 0 0 0 3 min
#143 0 1 0.0 0 1 40 60 0 6 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 2 0.0 0 0 0 20 0 3 min
#147 0 5 0.0 0 0 60 40 0 11 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 20 0 2 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 0 0 1 min
#153 0 0 0.0 0 0 0 0 0 0 min
#154 0 3 0.0 0 0 20 0 0 4 min
#155 0 0 0.0 0 0 0 20 0 2 min
#156 0 0 0.0 0 0 0 20 0 4 min
#157 1015 0 3 0.0 0 0 0 380 55 25 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 0 0 0 1,740 10 90 min
#161 0 0 0.0 0 0 0 0 0 4 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 0 0 1 min
#165 0 0 0.0 0 0 0 20 0 4 min
#166 0 2 0.0 0 0 0 200 0 17 min
#167 0 0 0.0 0 0 0 0 0 0 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 1 0.0 0 0 0 0 0 4 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 15 min
#174 0 0 0.0 0 0 0 0 0 13 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 7 min
#178 0 0 0.0 0 0 0 20 0 2 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 0 0.0 0 0 0 0 0 3 min
#181 0 0 0.0 0 0 0 60 0 5 min
#182 0 0 0.0 0 0 0 0 0 6 min
#183 0 0 0.0 0 0 0 0 0 3 min
#184 0 0 0.0 0 0 0 0 0 5 min
#185 0 0 0.0 0 0 0 0 0 1 min
#186 0 0 0.0 0 0 0 40 0 5 min
#187 0 1 0.0 0 0 0 20 0 3 min
#188 0 1 0.0 0 0 0 20 0 4 min
#189 0 8 0.0 0 0 80 40 0 12 min
#190 0 0 0.0 0 0 0 0 0 0 min
#191 0 1 0.0 0 0 0 0 0 4 min