elsenbornridge_warfare_morning

Elsenborn Ridge Warfare Dawn

13.01.2025 22:11 | [GER] Fliesentisch-Veteranen #1 | BFTB | Lvl 15+

Result

0:5

Allied wins

Players

174

Total Kills

2,090

Allied Kills

1,148

Axis Kills

942

Match Duration

78 min

Kills/Min

26.7

Normal Match ELO

Allies 1238.0 (all: 845.0)
Ø Match 1136.0
Axis 1033.0 (all: 735.0)
Highly imbalanced

Player Statistics (174)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 837 70 30 2.33 0 526 460 460 100 73 min
#2 1387 53 20 2.65 0 431 960 80 589 61 min
#3 1081 47 40 1.18 0 347 560 560 515 73 min
#4 594 44 26 1.69 0 326 180 920 75 76 min
#5 1575 42 26 1.62 0 424 100 500 30 51 min
#6 945 41 25 1.64 0 315 640 580 180 76 min
#7 988 40 34 1.18 1 337 100 880 511 73 min
#8 616 39 4 9.75 6 707 400 1,000 0 73 min
#9 982 39 24 1.62 0 502 780 620 318 73 min
#10 1206 39 22 1.77 0 303 780 520 0 73 min
#11 1030 38 16 2.38 0 299 760 520 120 73 min
#12 1095 38 12 3.17 0 293 100 840 0 55 min
#13 998 38 32 1.19 1 264 440 260 0 58 min
#14 795 36 25 1.44 1 280 160 1,040 60 76 min
#15 1484 35 12 2.92 0 408 460 60 0 35 min
#16 1121 34 16 2.12 0 371 620 420 115 61 min
#17 926 34 11 3.09 0 265 320 740 1,125 61 min
#18 837 33 29 1.14 0 253 200 920 851 72 min
#19 770 32 23 1.39 0 384 240 920 2,259 73 min
#20 827 32 22 1.45 0 234 220 400 150 58 min
#21 927 30 19 1.58 0 217 680 640 1,184 73 min
#22 821 29 18 1.61 6 311 380 820 2,448 73 min
#23 660 28 39 0.72 1 192 440 340 0 58 min
#24 1189 27 12 2.25 0 229 400 120 75 36 min
#25 861 27 11 2.45 0 218 1,220 20 430 67 min
#26 520 26 5 5.2 5 286 400 2,140 557 73 min
#27 936 26 19 1.37 0 247 460 740 205 73 min
#28 745 26 18 1.44 0 197 480 580 225 61 min
#29 1115 26 18 1.44 0 192 280 940 200 73 min
#30 1141 25 29 0.86 1 666 880 1,120 96 73 min
#31 798 25 21 1.19 0 200 320 660 200 57 min
#32 848 25 18 1.39 0 199 180 1,040 365 73 min
#33 821 25 37 0.68 0 199 460 600 0 73 min
#34 659 25 35 0.71 0 195 140 1,020 933 73 min
#35 1072 25 19 1.32 0 194 760 160 0 63 min
#36 977 23 32 0.72 0 237 380 460 30 58 min
#37 751 23 25 0.92 0 185 160 960 1,490 73 min
#38 681 22 20 1.1 0 194 340 620 372 61 min
#39 699 22 25 0.88 0 182 760 280 105 68 min
#40 742 22 27 0.81 0 173 520 480 0 68 min
#41 767 22 25 0.88 0 170 820 400 320 73 min
#42 592 21 29 0.72 2 313 200 900 30 73 min
#43 869 21 4 5.25 3 289 220 780 200 55 min
#44 1532 21 6 3.5 0 165 220 160 80 22 min
#45 900 21 29 0.72 0 165 500 400 874 58 min
#46 548 20 31 0.65 2 134 280 520 253 63 min
#47 685 20 29 0.69 0 126 220 840 30 73 min
#48 985 19 24 0.79 0 167 500 400 721 57 min
#49 602 19 27 0.7 0 166 440 780 1,799 73 min
#50 806 19 21 0.9 0 154 400 340 45 46 min
#51 609 19 17 1.12 0 135 160 340 80 39 min
#52 1118 19 15 1.27 0 124 380 600 55 63 min
#53 910 18 18 1.0 1 156 240 660 1,529 54 min
#54 646 18 17 1.06 0 154 260 500 225 52 min
#55 1260 18 11 1.64 0 125 400 20 0 31 min
#56 659 17 20 0.85 0 800 820 1,120 282 73 min
#57 701 17 15 1.13 0 117 100 400 25 36 min
#58 765 16 19 0.84 0 150 380 400 607 49 min
#59 581 16 21 0.76 0 131 240 500 0 52 min
#60 741 16 34 0.47 0 123 600 600 135 73 min
#61 654 16 18 0.89 0 120 600 300 455 55 min
#62 893 15 9 1.67 0 120 260 180 0 28 min
#63 761 15 24 0.62 1 114 220 900 0 76 min
#64 965 14 20 0.7 0 129 320 700 1,300 64 min
#65 862 13 6 2.17 2 93 100 340 0 28 min
#66 745 12 14 0.86 0 205 120 320 100 37 min
#67 11 4 2.75 0 322 500 740 580 17 min
#68 748 11 15 0.73 0 108 1,040 220 0 75 min
#69 11 4 2.75 0 87 80 40 0 11 min
#70 838 11 13 0.85 0 81 460 220 0 50 min
#71 603 11 25 0.44 0 81 160 360 425 42 min
#72 622 11 32 0.34 0 74 160 920 806 73 min
#73 691 10 9 1.11 0 272 440 980 0 73 min
#74 566 10 6 1.67 0 152 320 1,080 866 73 min
#75 559 10 19 0.53 0 104 140 720 30 73 min
#76 646 10 29 0.34 0 79 160 940 1,089 76 min
#77 10 7 1.43 0 74 140 60 0 16 min
#78 560 10 15 0.67 1 66 580 780 606 73 min
#79 740 9 16 0.56 0 118 500 420 80 58 min
#80 581 9 32 0.28 0 80 420 700 520 73 min
#81 494 9 24 0.38 0 57 300 800 135 73 min
#82 8 7 1.14 0 164 100 80 191 13 min
#83 942 8 7 1.14 0 80 540 40 30 36 min
#84 753 8 11 0.73 0 60 100 340 625 30 min
#85 801 8 8 1.0 0 59 100 340 0 30 min
#86 762 7 8 0.88 0 95 160 60 0 23 min
#87 642 7 14 0.5 2 60 180 320 165 39 min
#88 464 7 21 0.33 0 57 420 420 175 56 min
#89 721 6 4 1.5 1 568 400 980 280 73 min
#90 6 5 1.2 0 47 180 20 85 12 min
#91 632 5 26 0.19 0 141 280 920 0 75 min
#92 728 5 14 0.36 0 136 260 240 0 35 min
#93 802 5 15 0.33 0 84 920 400 1,034 73 min
#94 727 5 11 0.45 0 61 960 300 355 73 min
#95 585 5 13 0.38 0 42 260 140 0 30 min
#96 697 5 14 0.36 0 41 380 320 135 51 min
#97 591 5 11 0.45 0 39 100 240 75 23 min
#98 587 5 10 0.5 0 39 60 640 474 40 min
#99 483 5 21 0.24 0 36 160 280 150 38 min
#100 528 5 8 0.62 0 33 20 480 75 30 min
#101 506 4 9 0.44 0 278 440 900 30 74 min
#102 604 4 15 0.27 0 51 460 280 0 49 min
#103 4 3 1.33 0 27 160 0 0 9 min
#104 703 3 7 0.43 0 128 300 1,080 2,410 73 min
#105 3 8 0.38 0 34 180 80 0 17 min
#106 809 3 6 0.5 0 24 200 60 95 22 min
#107 648 3 9 0.33 0 21 100 480 0 38 min
#108 491 3 9 0.33 0 21 140 440 280 35 min
#109 819 2 13 0.15 0 251 360 960 0 76 min
#110 664 2 6 0.33 3 146 320 1,000 2,695 73 min
#111 427 2 24 0.08 0 60 720 1,240 2,891 73 min
#112 2 2 1.0 0 32 0 40 0 3 min
#113 1083 2 4 0.5 0 30 440 40 229 27 min
#114 498 2 16 0.12 0 15 160 460 60 45 min
#115 2 0 2.0 0 15 80 0 0 4 min
#116 811 1 3 0.33 1 707 400 1,000 0 73 min
#117 529 1 5 0.2 0 260 220 780 155 55 min
#118 1 7 0.14 0 9 140 100 110 17 min
#119 1 3 0.33 0 9 60 60 0 9 min
#120 681 1 22 0.05 0 9 60 1,020 459 66 min
#121 1 7 0.14 0 9 0 260 0 17 min
#122 1 4 0.25 0 9 40 80 0 11 min
#123 1 5 0.2 0 6 100 20 0 8 min
#124 644 0 4 0.0 0 289 220 820 0 54 min
#125 0 0 0.0 0 243 300 700 1,840 5 min
#126 0 0 0.0 1 10 0 220 225 13 min
#127 621 0 5 0.0 0 5 140 620 1,275 39 min
#128 585 0 12 0.0 0 5 180 180 75 35 min
#129 0 0 0.0 0 0 0 0 0 0 min
#130 0 0 0.0 0 0 0 0 0 1 min
#131 0 0 0.0 0 0 0 0 0 0 min
#132 0 0 0.0 0 0 0 0 0 11 min
#133 0 0 0.0 0 0 0 0 0 1 min
#134 0 0 0.0 0 0 0 0 0 3 min
#135 0 0 0.0 0 0 0 0 0 1 min
#136 0 0 0.0 0 0 0 0 0 0 min
#137 0 0 0.0 0 0 0 0 0 1 min
#138 0 0 0.0 0 0 0 0 0 0 min
#139 0 0 0.0 0 0 0 0 0 1 min
#140 0 0 0.0 0 0 0 0 0 0 min
#141 0 0 0.0 0 0 0 0 0 0 min
#142 0 0 0.0 0 0 0 0 0 0 min
#143 0 0 0.0 0 0 0 0 0 1 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 0 0.0 0 0 0 0 0 1 min
#147 0 4 0.0 0 0 140 160 30 17 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 0 0 73 min
#150 0 0 0.0 0 0 0 0 0 1 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 0 0 0 min
#153 0 0 0.0 0 0 0 0 0 0 min
#154 0 0 0.0 0 0 0 80 0 6 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 0 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 0 0 0 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 1 0.0 0 0 0 0 0 4 min
#163 0 0 0.0 7 0 0 220 0 13 min
#164 0 0 0.0 0 0 0 0 0 0 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 0 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 0 min
#171 0 0 0.0 0 0 0 0 0 0 min
#172 0 0 0.0 0 0 0 0 0 1 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 0 0 1 min