carentan_warfare_night

Carentan Warfare Night

12.02.2026 04:38 | Vanguarda_2

Result

4:1

Axis wins

Players

191

Total Kills

2,391

Allied Kills

1,185

Axis Kills

1,206

Match Duration

92 min

Kills/Min

26.1

High Match ELO

Allies 1359.0 (all: 849.0)
Ø Match 1368.0
Axis 1376.0 (all: 828.0)

Player Statistics (191)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1921 89 21 4.24 6 1,005 260 1,160 4,229 85 min
#2 1518 86 24 3.58 0 1,232 340 740 308 68 min
#3 1603 79 46 1.72 2 872 720 280 45 73 min
#4 1776 79 31 2.55 0 765 320 660 40 70 min
#5 1537 54 37 1.46 0 844 940 420 787 90 min
#6 1430 49 12 4.08 3 889 140 1,400 3,652 87 min
#7 1165 47 21 2.24 0 960 200 980 1,991 87 min
#8 1451 46 14 3.29 2 988 180 900 110 66 min
#9 512 45 8 5.62 1 1,291 1,540 1,120 30 88 min
#10 784 44 38 1.16 0 530 120 1,220 55 87 min
#11 539 43 2 21.5 3 688 20 760 5 87 min
#12 1614 42 12 3.5 1 717 200 420 544 39 min
#13 1027 41 34 1.21 1 466 140 1,140 10 87 min
#14 684 38 25 1.52 2 596 40 1,240 55 88 min
#15 1116 34 30 1.13 1 562 640 320 5 69 min
#16 1334 33 18 1.83 0 520 0 560 90 41 min
#17 949 32 25 1.28 0 530 460 580 862 68 min
#18 775 32 19 1.68 0 439 540 900 65 89 min
#19 769 31 21 1.48 0 724 580 640 503 87 min
#20 1072 31 28 1.11 2 517 320 600 125 62 min
#21 967 31 29 1.07 2 446 600 1,320 445 88 min
#22 1555 30 21 1.43 0 581 440 420 1,705 60 min
#23 1281 30 29 1.03 1 541 60 1,120 3,733 81 min
#24 1133 30 24 1.25 2 269 180 700 280 56 min
#25 862 29 44 0.66 1 568 1,040 180 40 87 min
#26 1218 29 25 1.16 0 445 700 200 315 68 min
#27 1117 28 31 0.9 1 637 340 640 10 65 min
#28 654 27 8 3.38 5 1,014 740 900 366 87 min
#29 822 27 34 0.79 0 507 320 1,580 939 87 min
#30 1660 27 9 3.0 0 372 240 420 60 50 min
#31 734 26 31 0.84 0 329 260 1,020 20 88 min
#32 862 26 22 1.18 0 228 520 200 195 59 min
#33 654 24 12 2.0 3 351 140 880 5 67 min
#34 1083 24 16 1.5 0 314 180 720 185 56 min
#35 934 23 32 0.72 0 1,149 920 280 70 87 min
#36 695 23 34 0.68 0 265 180 820 85 72 min
#37 838 23 26 0.88 0 258 300 640 300 70 min
#38 647 22 13 1.69 1 203 220 1,180 85 81 min
#39 833 21 21 1.0 0 537 580 560 340 69 min
#40 922 21 31 0.68 0 356 840 420 320 85 min
#41 756 21 23 0.91 0 195 480 820 290 88 min
#42 909 20 16 1.25 0 885 840 240 100 67 min
#43 814 20 15 1.33 0 280 780 460 350 80 min
#44 751 20 28 0.71 1 243 520 760 135 88 min
#45 765 19 26 0.73 0 533 620 760 10 88 min
#46 618 19 13 1.46 0 241 100 820 40 63 min
#47 747 19 27 0.7 0 152 720 520 372 88 min
#48 616 19 23 0.83 0 139 80 1,320 70 90 min
#49 829 18 9 2.0 0 382 20 1,140 2,000 69 min
#50 791 18 23 0.78 0 374 640 400 15 69 min
#51 668 17 20 0.85 1 178 300 1,160 190 87 min
#52 880 16 26 0.62 0 506 800 620 935 91 min
#53 908 16 2 8.0 2 309 80 280 15 23 min
#54 944 16 14 1.14 0 242 340 120 125 39 min
#55 633 16 32 0.5 2 185 380 840 70 83 min
#56 686 16 19 0.84 0 172 260 840 630 68 min
#57 901 16 15 1.07 0 153 480 360 105 56 min
#58 875 16 14 1.14 0 152 460 380 180 52 min
#59 547 15 7 2.14 1 908 180 1,420 215 88 min
#60 787 15 23 0.65 1 186 40 540 510 49 min
#61 561 15 35 0.43 0 174 840 160 55 75 min
#62 666 15 24 0.62 1 149 500 600 266 88 min
#63 936 14 15 0.93 0 417 200 280 5 32 min
#64 616 14 25 0.56 2 199 120 960 518 72 min
#65 934 14 15 0.93 0 198 200 540 180 51 min
#66 645 14 8 1.75 0 172 60 700 125 44 min
#67 1192 14 18 0.78 0 138 280 240 10 37 min
#68 766 14 24 0.58 0 137 700 300 495 68 min
#69 950 13 16 0.81 1 177 560 560 240 65 min
#70 566 13 31 0.42 0 135 600 480 495 80 min
#71 754 13 10 1.3 1 119 360 500 65 56 min
#72 878 12 24 0.5 0 304 1,120 340 419 87 min
#73 685 12 25 0.48 0 213 560 120 35 54 min
#74 1148 12 16 0.75 1 201 180 200 10 32 min
#75 865 11 5 2.2 0 493 220 420 25 36 min
#76 750 11 11 1.0 1 294 160 320 305 33 min
#77 525 11 33 0.33 1 115 300 920 750 87 min
#78 663 11 15 0.73 1 107 80 380 0 32 min
#79 814 11 22 0.5 0 87 400 380 0 61 min
#80 852 10 26 0.38 1 116 320 440 260 55 min
#81 625 10 20 0.5 0 103 420 840 470 80 min
#82 713 9 24 0.38 0 676 1,160 240 841 87 min
#83 503 9 13 0.69 0 642 0 1,180 275 72 min
#84 642 9 18 0.5 1 169 360 560 160 60 min
#85 641 9 16 0.56 0 148 40 680 915 49 min
#86 544 9 25 0.36 0 118 40 1,340 30 88 min
#87 629 9 21 0.43 3 87 540 460 477 68 min
#88 763 9 23 0.39 0 84 80 960 30 79 min
#89 646 8 10 0.8 0 647 260 900 240 68 min
#90 714 8 17 0.47 0 234 360 260 310 44 min
#91 641 8 6 1.33 0 221 300 120 0 25 min
#92 677 8 28 0.29 0 125 700 300 420 69 min
#93 522 8 15 0.53 0 74 300 340 0 48 min
#94 795 8 20 0.4 0 62 700 640 95 87 min
#95 658 7 15 0.47 0 140 340 200 830 37 min
#96 7 2 3.5 0 111 80 200 30 18 min
#97 7 2 3.5 0 45 0 100 5 26 min
#98 740 6 6 1.0 1 163 260 320 10 37 min
#99 781 6 9 0.67 1 117 280 100 235 24 min
#100 626 6 19 0.32 0 98 220 380 400 43 min
#101 553 6 10 0.6 0 83 0 540 15 35 min
#102 610 6 9 0.67 0 79 40 440 70 35 min
#103 895 6 9 0.67 1 71 220 80 5 24 min
#104 853 6 10 0.6 0 48 140 120 0 22 min
#105 725 5 8 0.62 0 190 100 140 80 31 min
#106 990 5 11 0.45 0 110 260 0 25 20 min
#107 5 2 2.5 0 95 0 120 10 9 min
#108 491 5 20 0.25 0 51 580 440 260 68 min
#109 908 5 5 1.0 0 51 0 280 10 33 min
#110 759 5 10 0.5 0 46 80 300 0 38 min
#111 766 5 10 0.5 4 35 200 240 25 31 min
#112 700 5 15 0.33 0 35 260 320 5 41 min
#113 4 9 0.44 0 32 0 180 5 16 min
#114 4 3 1.33 0 30 60 100 25 13 min
#115 4 7 0.57 0 27 220 20 85 18 min
#116 1031 3 10 0.3 1 109 220 200 150 29 min
#117 643 3 10 0.3 0 89 120 340 170 62 min
#118 3 10 0.3 0 87 240 0 0 19 min
#119 507 3 26 0.12 1 60 160 1,060 175 80 min
#120 485 3 8 0.38 0 53 160 160 10 23 min
#121 783 3 23 0.13 1 41 640 540 0 73 min
#122 665 3 11 0.27 0 33 180 500 0 45 min
#123 3 0 3.0 0 30 60 60 0 11 min
#124 3 3 1.0 0 24 40 40 0 11 min
#125 2 4 0.5 1 180 0 200 50 15 min
#126 666 2 6 0.33 0 137 160 180 260 23 min
#127 525 2 12 0.17 0 28 40 420 0 34 min
#128 2 2 1.0 0 24 20 200 0 15 min
#129 2 5 0.4 0 22 80 140 5 20 min
#130 576 2 6 0.33 2 21 220 200 75 29 min
#131 460 2 6 0.33 0 21 40 300 0 23 min
#132 2 10 0.2 1 17 20 240 5 20 min
#133 716 2 10 0.2 0 14 0 280 40 29 min
#134 567 1 2 0.5 1 322 80 340 0 26 min
#135 1 3 0.33 0 175 60 1,300 239 14 min
#136 1 11 0.09 3 66 160 40 50 17 min
#137 1 7 0.14 0 15 200 60 240 19 min
#138 1 1 1.0 0 13 0 100 31 9 min
#139 1 4 0.25 0 10 0 160 20 12 min
#140 1 0 1.0 0 10 20 0 0 12 min
#141 1 1 1.0 0 8 0 60 0 6 min
#142 0 0 0.0 0 233 820 380 75 0 min
#143 0 0 0.0 0 145 400 760 273 87 min
#144 0 1 0.0 0 52 20 0 80 4 min
#145 0 3 0.0 0 42 20 100 10 12 min
#146 0 0 0.0 0 10 20 0 75 2 min
#147 0 1 0.0 0 3 60 20 0 7 min
#148 0 1 0.0 0 2 40 120 150 11 min
#149 0 2 0.0 0 2 20 60 10 8 min
#150 0 0 0.0 0 2 0 80 0 3 min
#151 0 3 0.0 0 1 100 120 300 18 min
#152 0 2 0.0 0 1 60 100 5 13 min
#153 0 0 0.0 0 0 0 0 0 0 min
#154 0 0 0.0 0 0 0 0 0 2 min
#155 0 0 0.0 0 0 0 0 0 1 min
#156 0 0 0.0 0 0 0 20 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 1 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 20 0 0 min
#161 0 0 0.0 11 0 0 20 0 0 min
#162 0 0 0.0 0 0 0 20 0 6 min
#163 0 0 0.0 0 0 0 0 0 1 min
#164 0 1 0.0 0 0 0 60 0 5 min
#165 0 0 0.0 0 0 0 0 0 1 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 0 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 2 0.0 0 0 60 0 0 9 min
#171 0 0 0.0 0 0 0 0 0 0 min
#172 0 0 0.0 0 0 0 0 0 3 min
#173 0 3 0.0 0 0 0 60 40 5 min
#174 0 1 0.0 0 0 0 60 0 6 min
#175 0 0 0.0 0 0 0 0 0 0 min
#176 0 0 0.0 0 0 0 0 0 1 min
#177 0 0 0.0 0 0 0 0 0 1 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 60 0 4 min
#180 0 0 0.0 0 0 0 0 0 0 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 0 0 2 min
#183 0 0 0.0 0 0 0 20 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 2 min
#187 0 0 0.0 0 0 0 0 0 2 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 2 0.0 0 0 0 120 0 8 min
#191 0 0 0.0 0 0 0 40 0 3 min