carentan_warfare

Carentan Warfare Day

28.12.2025 21:59 | [GER] Fliesentisch-Veteranen #1 | BFTB | Lvl 15+

Result

0:5

Allied wins

Players

197

Total Kills

1,915

Allied Kills

934

Axis Kills

978

Match Duration

73 min

Kills/Min

26.2

High Match ELO

Allies 1335.0 (all: 811.0)
Ø Match 1263.0
Axis 1190.0 (all: 784.0)
Imbalanced

Player Statistics (197)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1600 75 18 4.17 5 1,335 800 360 430 70 min
#2 2062 74 20 3.7 0 1,086 820 360 884 70 min
#3 1443 69 25 2.76 0 976 720 380 350 69 min
#4 738 47 12 3.92 0 586 1,400 360 155 68 min
#5 1141 42 33 1.27 0 435 380 620 1,341 68 min
#6 1395 41 22 1.86 0 586 320 360 55 47 min
#7 961 40 13 3.08 0 654 0 1,240 2,668 68 min
#8 1133 39 30 1.3 0 1,150 680 480 455 68 min
#9 1504 39 34 1.15 0 475 200 420 260 48 min
#10 755 38 13 2.92 0 640 1,240 100 40 68 min
#11 1013 33 15 2.2 0 470 760 500 1,289 68 min
#12 1499 32 23 1.39 1 604 560 360 50 70 min
#13 1402 32 27 1.19 0 389 140 580 110 48 min
#14 1081 30 17 1.76 0 318 260 780 1,255 69 min
#15 897 28 12 2.33 0 620 620 800 105 68 min
#16 1035 28 36 0.78 0 509 360 680 1,358 68 min
#17 1167 27 21 1.29 0 284 0 1,180 1,388 68 min
#18 858 26 16 1.62 1 507 480 680 140 68 min
#19 828 26 24 1.08 0 258 320 840 20 71 min
#20 865 25 12 2.08 0 405 260 700 50 56 min
#21 933 25 6 4.17 0 289 1,000 260 471 68 min
#22 955 25 21 1.19 0 230 120 820 235 68 min
#23 993 24 21 1.14 0 1,199 1,080 140 512 68 min
#24 832 24 28 0.86 0 620 0 1,020 95 69 min
#25 1025 24 14 1.71 0 508 0 1,140 1,848 68 min
#26 577 24 28 0.86 0 235 360 740 380 68 min
#27 1016 23 16 1.44 0 372 360 180 180 37 min
#28 992 23 21 1.1 0 304 340 680 853 68 min
#29 23 17 1.35 0 269 180 500 5 0 min
#30 995 23 27 0.85 1 247 20 1,080 829 68 min
#31 633 23 24 0.96 0 225 340 660 720 68 min
#32 878 22 23 0.96 0 648 600 500 20 69 min
#33 877 22 33 0.67 0 428 120 880 703 68 min
#34 879 21 16 1.31 0 395 960 180 10 68 min
#35 1262 21 6 3.5 1 357 0 1,300 3,068 68 min
#36 782 20 14 1.43 0 543 100 920 659 68 min
#37 1366 20 10 2.0 0 375 440 240 150 44 min
#38 1036 19 13 1.46 0 793 220 540 280 48 min
#39 575 19 6 3.17 1 432 700 560 245 68 min
#40 806 19 11 1.73 0 348 760 460 290 68 min
#41 560 19 23 0.83 0 244 360 740 2,105 68 min
#42 1226 19 9 2.11 0 174 0 360 15 25 min
#43 783 18 33 0.55 0 903 740 360 10 68 min
#44 875 17 14 1.21 0 226 160 900 230 61 min
#45 969 17 13 1.31 0 195 540 520 1,309 69 min
#46 656 17 17 1.0 0 185 220 560 240 47 min
#47 605 15 27 0.56 0 266 320 640 852 68 min
#48 917 15 29 0.52 2 231 320 780 255 68 min
#49 873 15 20 0.75 0 162 660 500 80 68 min
#50 1094 15 20 0.75 0 144 260 580 1,360 57 min
#51 608 14 23 0.61 2 244 400 600 80 68 min
#52 776 14 17 0.82 0 129 220 320 10 48 min
#53 884 13 21 0.62 0 636 460 700 579 68 min
#54 832 13 30 0.43 0 218 280 640 1,860 68 min
#55 1006 13 13 1.0 0 162 220 180 5 29 min
#56 533 13 28 0.46 0 130 300 800 75 68 min
#57 626 12 14 0.86 0 342 320 340 0 40 min
#58 801 12 23 0.52 0 277 60 720 1,255 68 min
#59 744 12 24 0.5 1 265 400 580 15 68 min
#60 879 12 12 1.0 0 175 440 260 326 33 min
#61 566 11 4 2.75 0 344 140 560 170 40 min
#62 664 11 4 2.75 0 311 140 640 80 39 min
#63 528 11 14 0.79 0 254 20 860 5 55 min
#64 709 11 21 0.52 1 112 300 340 70 68 min
#65 744 10 6 1.67 0 422 700 580 5 68 min
#66 630 10 16 0.62 0 115 180 420 240 49 min
#67 530 10 21 0.48 2 91 280 460 85 57 min
#68 873 9 5 1.8 0 1,893 1,240 140 331 68 min
#69 679 9 27 0.33 0 415 300 780 400 71 min
#70 860 9 17 0.53 0 180 280 200 350 35 min
#71 580 9 16 0.56 0 98 80 400 5 33 min
#72 753 9 13 0.69 0 93 300 60 110 30 min
#73 9 4 2.25 0 91 60 20 0 7 min
#74 556 9 12 0.75 0 88 80 460 374 35 min
#75 722 9 4 2.25 0 70 120 80 0 18 min
#76 505 8 10 0.8 2 1,332 520 620 65 68 min
#77 591 8 9 0.89 0 221 300 620 0 53 min
#78 621 8 23 0.35 0 170 0 820 20 55 min
#79 798 8 20 0.4 0 150 200 940 140 68 min
#80 689 8 8 1.0 3 84 100 560 30 45 min
#81 708 8 5 1.6 0 82 220 80 0 23 min
#82 810 7 5 1.4 0 1,313 1,280 100 351 68 min
#83 479 7 4 1.75 0 1,284 480 540 0 59 min
#84 438 7 22 0.32 0 278 380 360 15 49 min
#85 846 7 16 0.44 0 70 120 340 355 33 min
#86 628 7 14 0.5 0 68 340 160 15 32 min
#87 7 6 1.17 0 63 0 100 45 7 min
#88 613 7 7 1.0 1 60 80 160 0 16 min
#89 766 7 10 0.7 0 53 100 100 0 21 min
#90 657 6 34 0.18 0 232 420 600 800 68 min
#91 567 6 18 0.33 0 227 280 960 40 68 min
#92 785 6 8 0.75 0 107 120 220 0 21 min
#93 744 6 19 0.32 0 78 520 640 1,023 68 min
#94 550 6 19 0.32 0 60 460 660 480 70 min
#95 603 6 7 0.86 0 44 300 60 0 24 min
#96 589 5 4 1.25 0 302 140 620 175 39 min
#97 665 5 14 0.36 0 254 600 560 1,660 68 min
#98 534 5 13 0.38 1 143 460 300 285 50 min
#99 732 5 13 0.38 0 108 180 280 295 32 min
#100 701 5 7 0.71 0 98 120 180 0 32 min
#101 740 5 6 0.83 0 59 220 60 0 22 min
#102 961 5 7 0.71 0 55 80 160 105 17 min
#103 567 4 6 0.67 0 185 100 160 0 20 min
#104 607 4 9 0.44 0 54 80 280 105 27 min
#105 469 4 7 0.57 0 42 280 320 0 33 min
#106 965 4 7 0.57 0 31 120 240 115 24 min
#107 573 3 11 0.27 0 1,014 520 620 185 68 min
#108 929 3 7 0.43 0 183 200 200 255 28 min
#109 3 2 1.5 0 28 0 100 20 7 min
#110 515 3 3 1.0 0 26 20 120 235 15 min
#111 701 3 12 0.25 0 26 60 140 65 22 min
#112 576 2 5 0.4 6 88 0 680 0 52 min
#113 560 2 4 0.5 2 84 20 620 30 44 min
#114 589 2 6 0.33 0 36 100 40 0 16 min
#115 598 2 13 0.15 0 31 80 400 25 33 min
#116 471 2 4 0.5 0 28 0 260 95 21 min
#117 2 3 0.67 0 27 160 20 40 13 min
#118 673 2 2 1.0 0 26 0 340 144 21 min
#119 796 2 4 0.5 0 20 60 100 0 20 min
#120 500 2 5 0.4 0 19 80 220 385 33 min
#121 2 5 0.4 0 19 0 60 0 5 min
#122 832 2 4 0.5 0 18 20 140 5 18 min
#123 477 2 15 0.13 0 15 260 440 0 46 min
#124 2 4 0.5 0 14 0 80 50 5 min
#125 2 2 1.0 0 8 0 20 0 3 min
#126 1 5 0.2 0 25 0 80 0 8 min
#127 776 1 4 0.25 0 24 260 220 15 29 min
#128 1 3 0.33 0 14 0 60 75 4 min
#129 431 1 7 0.14 0 9 160 120 75 21 min
#130 735 1 2 0.5 0 8 140 160 5 19 min
#131 0 0 0.0 0 358 360 520 525 0 min
#132 0 0 0.0 0 59 420 540 20 68 min
#133 514 0 9 0.0 1 26 40 240 35 21 min
#134 0 1 0.0 0 7 100 220 80 18 min
#135 551 0 5 0.0 0 5 0 320 0 20 min
#136 605 0 4 0.0 0 4 80 160 80 17 min
#137 491 0 6 0.0 0 4 160 140 0 23 min
#138 456 0 5 0.0 0 4 40 260 75 23 min
#139 0 2 0.0 0 3 60 20 0 9 min
#140 0 0 0.0 0 2 0 0 0 3 min
#141 0 7 0.0 0 1 80 40 0 14 min
#142 0 3 0.0 0 1 60 80 0 14 min
#143 0 4 0.0 0 1 0 120 85 7 min
#144 0 1 0.0 0 0 0 40 0 3 min
#145 0 3 0.0 0 0 0 80 0 6 min
#146 0 0 0.0 0 0 0 0 0 2 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 0 0 1 min
#149 0 0 0.0 0 0 0 0 0 0 min
#150 0 0 0.0 0 0 0 80 0 6 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 0 0 0 min
#155 0 0 0.0 0 0 0 160 30 7 min
#156 0 0 0.0 2 0 0 60 0 7 min
#157 0 0 0.0 0 0 0 0 0 2 min
#158 0 1 0.0 0 0 80 20 0 9 min
#159 0 0 0.0 0 0 0 160 0 8 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 0 0.0 0 0 0 0 0 1 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 2 min
#165 0 2 0.0 0 0 120 20 0 11 min
#166 0 0 0.0 0 0 0 0 0 2 min
#167 0 0 0.0 0 0 0 0 0 10 min
#168 0 0 0.0 0 0 0 0 0 0 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 0 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 0 0 2 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 0 0 3 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 0 0.0 0 0 0 0 0 0 min
#181 0 0 0.0 0 0 0 0 0 4 min
#182 0 0 0.0 0 0 0 0 0 0 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 60 0 0 5 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 0 0.0 0 0 0 0 0 0 min
#188 0 1 0.0 0 0 20 0 0 28 min
#189 0 0 0.0 0 0 0 0 0 1 min
#190 0 0 0.0 0 0 0 0 0 0 min
#191 0 0 0.0 0 0 0 0 0 10 min
#192 0 0 0.0 0 0 0 0 0 0 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 0 0.0 0 0 0 0 0 0 min
#195 0 0 0.0 0 0 0 0 0 0 min
#196 0 0 0.0 0 0 0 0 0 0 min
#197 0 0 0.0 0 0 0 0 0 0 min