carentan_warfare

Carentan Warfare Day

01.02.2026 23:18 | [GER] 106. Panzerbrigade

Result

4:1

Axis wins

Players

183

Total Kills

2,437

Allied Kills

1,119

Axis Kills

1,318

Match Duration

90 min

Kills/Min

27.1

High Match ELO

Allies 1403.0 (all: 867.0)
Ø Match 1387.0
Axis 1371.0 (all: 844.0)

Player Statistics (183)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1972 89 38 2.34 0 1,315 520 360 55 62 min
#2 1633 84 31 2.71 0 1,278 720 400 1,069 71 min
#3 956 77 5 15.4 6 1,965 460 1,160 35 85 min
#4 1812 73 33 2.21 2 1,138 400 360 120 55 min
#5 1415 68 29 2.34 0 656 280 1,140 220 85 min
#6 1575 61 22 2.77 0 750 660 580 378 72 min
#7 1178 58 36 1.61 0 731 640 640 695 85 min
#8 707 54 12 4.5 0 487 360 1,160 395 85 min
#9 1147 48 31 1.55 1 570 280 940 95 85 min
#10 733 46 33 1.39 0 526 620 740 170 85 min
#11 1025 46 38 1.21 0 524 460 840 505 85 min
#12 1784 45 31 1.45 0 637 420 300 1,062 53 min
#13 1148 43 38 1.13 0 656 700 580 210 85 min
#14 974 43 24 1.79 0 490 120 1,280 495 88 min
#15 1006 42 44 0.95 0 449 400 660 835 72 min
#16 1090 42 22 1.91 0 398 740 380 125 67 min
#17 864 37 20 1.85 0 972 1,200 240 105 85 min
#18 1467 37 32 1.16 0 722 480 260 80 53 min
#19 1068 37 24 1.54 1 444 240 740 190 64 min
#20 1473 36 17 2.12 0 649 400 340 140 50 min
#21 927 34 41 0.83 0 368 340 780 508 78 min
#22 1123 33 23 1.43 1 834 620 460 640 69 min
#23 1128 31 32 0.97 1 619 200 900 201 73 min
#24 932 31 40 0.78 0 394 460 640 15 85 min
#25 683 31 29 1.07 0 321 460 740 105 79 min
#26 991 29 33 0.88 0 934 760 280 105 67 min
#27 663 29 24 1.21 0 334 260 1,220 10 85 min
#28 774 27 15 1.8 0 408 420 520 5 59 min
#29 800 26 36 0.72 0 504 400 860 30 82 min
#30 932 26 24 1.08 0 427 500 480 435 64 min
#31 834 26 14 1.86 0 351 0 1,240 80 75 min
#32 597 26 37 0.7 0 303 520 780 20 85 min
#33 1106 25 28 0.89 0 740 920 500 190 88 min
#34 704 25 25 1.0 0 359 780 520 120 85 min
#35 918 25 26 0.96 0 274 380 600 0 65 min
#36 672 23 42 0.55 0 519 540 580 25 85 min
#37 914 23 22 1.05 0 233 40 1,080 275 70 min
#38 665 22 16 1.38 0 492 180 360 10 42 min
#39 956 22 24 0.92 0 425 400 780 0 76 min
#40 837 22 19 1.16 0 401 220 1,360 5,070 85 min
#41 674 21 30 0.7 0 278 420 940 245 85 min
#42 848 21 25 0.84 0 174 0 1,220 1,628 72 min
#43 984 20 17 1.18 1 2,070 1,460 140 866 85 min
#44 787 20 17 1.18 0 803 500 580 5 71 min
#45 1597 19 3 6.33 0 660 320 0 45 24 min
#46 584 19 35 0.54 0 478 520 820 75 85 min
#47 730 19 18 1.06 1 282 480 820 1,620 79 min
#48 1006 18 22 0.82 0 237 340 760 100 73 min
#49 628 18 22 0.82 0 162 140 1,360 120 85 min
#50 737 17 31 0.55 0 179 600 560 1,137 82 min
#51 629 17 31 0.55 0 169 260 1,060 340 85 min
#52 890 16 14 1.14 3 237 20 780 421 49 min
#53 857 16 14 1.14 0 197 100 440 10 37 min
#54 617 16 25 0.64 0 170 260 680 1,005 64 min
#55 1330 16 10 1.6 0 150 120 300 35 32 min
#56 616 15 21 0.71 1 372 580 880 80 88 min
#57 776 15 18 0.83 0 326 480 280 10 47 min
#58 714 15 21 0.71 0 275 380 680 330 63 min
#59 770 14 17 0.82 0 1,782 1,440 120 10 85 min
#60 851 14 18 0.78 0 1,389 1,300 280 446 85 min
#61 1034 14 13 1.08 0 376 620 500 1,677 68 min
#62 879 14 34 0.41 0 350 560 600 668 85 min
#63 599 14 13 1.08 0 289 520 360 20 61 min
#64 714 14 2 7.0 0 207 300 1,460 3,766 85 min
#65 1125 14 14 1.0 0 159 240 440 5 42 min
#66 627 14 29 0.48 0 157 120 920 980 71 min
#67 872 14 8 1.75 1 152 60 740 25 44 min
#68 734 14 26 0.54 0 144 120 800 395 69 min
#69 615 14 26 0.54 0 138 120 1,200 1,265 85 min
#70 1028 13 6 2.17 0 248 20 560 1,368 35 min
#71 667 13 37 0.35 0 170 360 860 35 85 min
#72 570 13 20 0.65 0 142 180 900 470 70 min
#73 605 12 4 3.0 0 421 220 540 45 40 min
#74 12 6 2.0 0 323 100 120 5 17 min
#75 1044 12 13 0.92 0 198 280 320 40 39 min
#76 11 3 3.67 0 313 80 140 5 17 min
#77 617 11 9 1.22 0 127 120 560 15 42 min
#78 1045 11 7 1.57 0 123 160 500 826 40 min
#79 675 10 10 1.0 0 146 1,020 620 1,420 88 min
#80 875 10 9 1.11 0 115 400 220 165 42 min
#81 659 9 12 0.75 0 101 200 460 55 48 min
#82 1009 9 20 0.45 0 99 200 340 100 41 min
#83 658 9 13 0.69 0 85 140 420 30 37 min
#84 8 5 1.6 0 161 160 40 30 13 min
#85 533 8 39 0.21 0 154 220 1,080 1,274 85 min
#86 8 3 2.67 0 114 140 0 5 11 min
#87 734 8 19 0.42 1 109 160 880 395 71 min
#88 551 8 7 1.14 0 104 100 380 130 30 min
#89 804 8 31 0.26 0 88 460 380 10 64 min
#90 482 8 23 0.35 0 81 280 1,220 829 85 min
#91 682 7 9 0.78 1 1,951 460 1,120 20 85 min
#92 574 7 3 2.33 0 323 120 320 0 22 min
#93 567 7 27 0.26 0 194 140 1,240 916 85 min
#94 1385 7 7 1.0 0 162 0 580 35 36 min
#95 840 7 16 0.44 1 128 380 340 105 54 min
#96 606 6 12 0.5 1 1,063 860 560 1,893 80 min
#97 725 6 5 1.2 0 118 120 260 75 24 min
#98 412 6 19 0.32 1 62 220 1,280 95 85 min
#99 552 6 11 0.55 0 56 140 400 0 48 min
#100 647 5 7 0.71 0 178 0 580 45 37 min
#101 457 5 32 0.16 0 145 100 1,300 645 85 min
#102 789 5 19 0.26 0 99 160 340 270 38 min
#103 751 5 8 0.62 0 54 140 240 25 26 min
#104 589 5 6 0.83 3 51 380 560 180 53 min
#105 744 5 17 0.29 0 37 160 340 50 36 min
#106 4 5 0.8 0 74 120 20 135 13 min
#107 590 4 6 0.67 0 72 0 540 5 34 min
#108 663 4 13 0.31 0 32 220 180 75 29 min
#109 3 5 0.6 0 117 100 60 80 12 min
#110 515 3 12 0.25 0 117 240 880 543 62 min
#111 3 5 0.6 0 82 140 100 116 15 min
#112 3 1 3.0 1 81 0 240 0 12 min
#113 708 3 13 0.23 0 39 100 260 165 32 min
#114 802 3 11 0.27 0 36 80 340 85 28 min
#115 3 5 0.6 1 34 0 260 90 18 min
#116 610 3 12 0.25 0 32 20 440 447 30 min
#117 3 4 0.75 0 26 0 180 10 13 min
#118 591 3 14 0.21 0 25 200 280 150 37 min
#119 739 2 13 0.15 0 439 480 1,100 380 85 min
#120 479 2 15 0.13 0 165 60 760 1,380 56 min
#121 2 3 0.67 0 72 60 200 206 18 min
#122 518 2 12 0.17 0 36 240 300 310 39 min
#123 686 2 10 0.2 0 29 20 320 10 33 min
#124 662 2 19 0.11 0 23 180 800 422 64 min
#125 2 5 0.4 0 19 140 80 0 20 min
#126 1 4 0.25 0 66 100 0 0 11 min
#127 1 4 0.25 0 19 80 20 0 12 min
#128 744 1 7 0.14 0 16 80 220 5 22 min
#129 1 4 0.25 0 12 20 80 0 7 min
#130 1 1 1.0 0 10 0 0 0 3 min
#131 730 1 2 0.5 0 9 0 340 175 20 min
#132 1 0 1.0 0 8 0 80 0 6 min
#133 1122 0 7 0.0 0 1,851 460 1,160 365 85 min
#134 0 1 0.0 0 74 100 80 0 18 min
#135 0 0 0.0 1 10 0 120 55 10 min
#136 0 0 0.0 2 10 0 180 30 14 min
#137 534 0 3 0.0 0 6 0 500 110 29 min
#138 0 1 0.0 0 5 0 40 0 7 min
#139 0 0 0.0 0 4 0 0 0 2 min
#140 0 4 0.0 0 4 0 180 0 11 min
#141 0 4 0.0 0 4 120 120 150 15 min
#142 879 0 5 0.0 0 3 0 460 0 30 min
#143 0 4 0.0 0 3 0 140 10 10 min
#144 0 3 0.0 0 2 0 60 0 6 min
#145 0 2 0.0 3 1 0 140 150 10 min
#146 0 4 0.0 0 1 40 40 0 9 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 120 0 0 11 min
#150 0 2 0.0 0 0 0 40 0 7 min
#151 0 2 0.0 0 0 40 20 25 9 min
#152 0 0 0.0 0 0 0 40 50 4 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 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 2 min
#158 0 3 0.0 0 0 40 200 0 15 min
#159 0 0 0.0 0 0 0 0 0 1 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 2 0.0 0 0 40 220 0 15 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 0 0 0 40 0 2 min
#166 0 2 0.0 0 0 120 0 25 7 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 1 0.0 0 0 0 40 15 3 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 3 0.0 0 0 0 140 0 7 min
#173 0 0 0.0 0 0 0 0 0 8 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 20 0 2 min
#176 0 0 0.0 0 0 20 0 20 1 min
#177 0 1 0.0 0 0 0 0 0 3 min
#178 0 0 0.0 0 0 0 0 0 1 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 0 0.0 0 0 0 0 0 1 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 1 min