elsenbornridge_warfare_day

Elsenborn Ridge Warfare Day

24.11.2025 21:33 | [GER] Sandkasten der 106. Panzerbrigade

Result

5:0

Axis wins

Players

139

Total Kills

900

Allied Kills

409

Axis Kills

487

Match Duration

38 min

Kills/Min

23.5

Normal Match ELO

Allies 1084.0 (all: 797.0)
Ø Match 1144.0
Axis 1203.0 (all: 823.0)
Imbalanced

Player Statistics (139)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1613 41 11 3.73 0 515 120 360 65 36 min
#2 674 30 3 10.0 0 627 140 520 10 34 min
#3 1048 28 14 2.0 0 237 320 220 30 34 min
#4 779 24 13 1.85 1 216 60 440 90 34 min
#5 990 21 12 1.75 0 359 100 340 90 34 min
#6 1318 20 5 4.0 0 234 60 520 1,210 35 min
#7 618 19 12 1.58 3 191 40 440 228 35 min
#8 1016 18 13 1.38 0 295 40 480 1,291 34 min
#9 776 18 9 2.0 0 270 20 480 30 32 min
#10 1028 17 6 2.83 0 777 440 160 35 34 min
#11 766 17 2 8.5 1 774 120 400 10 28 min
#12 1495 17 6 2.83 0 303 260 40 85 34 min
#13 917 17 8 2.12 0 200 40 520 40 35 min
#14 1259 17 11 1.55 2 195 20 440 175 32 min
#15 943 16 10 1.6 0 182 180 240 5 34 min
#16 676 16 13 1.23 1 152 20 500 5 34 min
#17 1141 15 7 2.14 0 379 120 440 125 34 min
#18 982 15 3 5.0 0 182 260 260 140 30 min
#19 735 15 9 1.67 0 152 240 140 235 24 min
#20 897 14 24 0.58 0 335 120 320 160 36 min
#21 996 14 7 2.0 0 168 40 300 160 34 min
#22 872 14 5 2.8 0 110 260 340 1,367 35 min
#23 837 13 9 1.44 0 127 440 120 30 34 min
#24 1220 12 9 1.33 0 552 500 100 300 36 min
#25 939 12 3 4.0 0 414 380 140 90 35 min
#26 1435 12 13 0.92 0 313 200 140 262 25 min
#27 12 6 2.0 0 293 120 120 115 19 min
#28 595 12 15 0.8 1 104 360 140 10 34 min
#29 943 11 15 0.73 0 304 360 120 10 36 min
#30 676 11 7 1.57 0 178 80 480 300 35 min
#31 788 11 6 1.83 0 112 280 160 15 36 min
#32 1069 11 11 1.0 0 73 140 420 665 34 min
#33 1068 10 5 2.0 0 231 120 240 85 35 min
#34 601 10 5 2.0 0 110 20 500 45 32 min
#35 747 10 14 0.71 0 95 100 220 5 26 min
#36 856 10 12 0.83 0 86 260 200 703 35 min
#37 873 10 6 1.67 0 81 20 260 15 23 min
#38 949 9 4 2.25 0 581 500 140 396 34 min
#39 662 9 8 1.12 0 99 140 440 500 34 min
#40 1155 9 5 1.8 0 81 80 220 180 20 min
#41 9 4 2.25 0 78 60 120 0 20 min
#42 876 8 2 4.0 0 781 120 500 30 34 min
#43 948 8 9 0.89 0 345 240 240 1,430 34 min
#44 621 8 9 0.89 1 306 460 120 467 34 min
#45 8 4 2.0 0 276 20 260 140 19 min
#46 894 8 11 0.73 0 176 120 360 25 35 min
#47 670 8 1 8.0 0 130 100 420 0 34 min
#48 1005 7 6 1.17 0 396 260 240 317 34 min
#49 933 7 9 0.78 1 190 160 400 827 34 min
#50 830 7 7 1.0 0 120 380 120 95 34 min
#51 615 7 7 1.0 0 93 80 240 5 22 min
#52 614 7 15 0.47 1 68 160 220 35 33 min
#53 7 1 7.0 0 65 0 260 35 16 min
#54 708 7 4 1.75 0 56 20 240 75 26 min
#55 854 6 10 0.6 1 109 240 100 30 31 min
#56 720 6 12 0.5 0 85 180 340 315 34 min
#57 705 6 10 0.6 1 72 100 420 75 34 min
#58 943 6 19 0.32 1 65 120 320 85 34 min
#59 675 6 21 0.29 0 56 240 220 220 34 min
#60 492 5 15 0.33 1 155 260 620 475 35 min
#61 708 5 9 0.56 0 133 320 120 342 34 min
#62 652 5 18 0.28 0 56 280 200 506 34 min
#63 705 5 4 1.25 0 47 60 280 25 25 min
#64 551 5 10 0.5 0 44 220 280 0 33 min
#65 687 5 5 1.0 0 37 160 180 5 23 min
#66 965 4 14 0.29 0 133 340 120 575 34 min
#67 736 4 8 0.5 0 94 120 380 500 34 min
#68 669 4 8 0.5 0 82 260 100 140 26 min
#69 773 4 12 0.33 0 82 200 260 1,285 35 min
#70 707 4 13 0.31 0 80 100 460 325 34 min
#71 761 4 10 0.4 0 72 0 520 105 34 min
#72 613 4 14 0.29 0 61 120 360 70 36 min
#73 753 4 10 0.4 0 49 100 440 20 34 min
#74 557 4 9 0.44 0 49 360 180 95 35 min
#75 575 4 8 0.5 0 38 340 80 75 29 min
#76 4 5 0.8 0 36 120 0 0 11 min
#77 4 4 1.0 0 36 0 340 122 20 min
#78 757 4 4 1.0 1 35 100 240 5 25 min
#79 1089 4 0 4.0 3 35 0 700 1,810 34 min
#80 793 4 5 0.8 1 31 180 120 25 22 min
#81 522 3 14 0.21 0 47 300 220 0 36 min
#82 3 9 0.33 0 46 260 200 285 17 min
#83 3 2 1.5 0 35 140 40 5 12 min
#84 3 1 3.0 0 34 80 180 0 15 min
#85 644 3 11 0.27 0 33 80 180 225 21 min
#86 3 7 0.43 0 32 140 120 95 19 min
#87 3 6 0.5 0 23 0 140 0 14 min
#88 761 2 4 0.5 1 992 340 900 35 34 min
#89 817 2 9 0.22 0 71 40 340 75 29 min
#90 642 2 8 0.25 0 51 320 60 80 26 min
#91 2 5 0.4 0 40 80 140 0 18 min
#92 2 1 2.0 0 23 0 80 0 6 min
#93 2 3 0.67 1 22 20 220 34 14 min
#94 751 2 13 0.15 0 22 60 280 475 25 min
#95 795 2 11 0.18 0 21 420 180 10 34 min
#96 2 6 0.33 1 19 100 0 155 12 min
#97 587 2 12 0.17 0 19 160 120 20 26 min
#98 708 2 4 0.5 0 17 60 340 5 24 min
#99 670 2 3 0.67 0 16 0 540 135 34 min
#100 2 2 1.0 0 16 0 140 5 11 min
#101 2 0 2.0 0 15 0 40 0 5 min
#102 1 1 1.0 0 32 0 120 5 10 min
#103 562 1 12 0.08 0 21 140 400 0 35 min
#104 678 1 7 0.14 0 18 60 360 265 29 min
#105 1 0 1.0 0 18 0 40 0 7 min
#106 501 1 14 0.07 2 15 40 360 10 28 min
#107 555 1 8 0.12 0 14 20 500 616 34 min
#108 1 2 0.5 0 12 0 60 0 5 min
#109 1 4 0.25 0 11 100 0 0 8 min
#110 517 0 2 0.0 0 760 120 500 105 34 min
#111 528 0 3 0.0 0 595 140 520 115 35 min
#112 0 1 0.0 0 184 140 300 235 4 min
#113 0 0 0.0 0 67 140 60 0 0 min
#114 0 2 0.0 0 3 0 220 0 9 min
#115 0 0 0.0 0 0 0 20 0 2 min
#116 0 4 0.0 0 0 0 120 0 10 min
#117 0 0 0.0 0 0 0 0 0 1 min
#118 0 0 0.0 0 0 0 0 0 1 min
#119 0 0 0.0 0 0 0 0 0 0 min
#120 0 0 0.0 0 0 0 0 0 0 min
#121 0 0 0.0 0 0 0 0 0 7 min
#122 0 0 0.0 0 0 0 0 0 1 min
#123 0 0 0.0 0 0 0 0 0 0 min
#124 0 0 0.0 0 0 0 0 0 0 min
#125 0 0 0.0 0 0 0 0 0 12 min
#126 0 0 0.0 0 0 0 120 15 4 min
#127 0 0 0.0 0 0 0 0 0 0 min
#128 0 0 0.0 0 0 0 0 0 3 min
#129 0 2 0.0 0 0 80 40 0 8 min
#130 0 0 0.0 0 0 0 0 0 2 min
#131 0 0 0.0 0 0 0 20 0 3 min
#132 0 0 0.0 0 0 0 0 0 0 min
#133 0 2 0.0 0 0 0 100 30 12 min
#134 0 0 0.0 0 0 0 0 0 3 min
#135 0 0 0.0 0 0 0 0 0 0 min
#136 0 1 0.0 1 0 0 60 0 6 min
#137 0 0 0.0 0 0 40 0 0 5 min
#138 0 2 0.0 0 0 80 120 0 11 min
#139 0 0 0.0 0 0 0 0 0 11 min