carentan_warfare

Carentan Warfare Day

18.05.2026 22:29 | POWERBITS GAMETEAM HLL #3 | LOW PING

Result

3:2

Axis wins

Players

182

Total Kills

2,312

Allied Kills

1,032

Axis Kills

1,280

Match Duration

90 min

Kills/Min

25.7

High Match ELO

Allies 1094.0 (all: 761.0)
Ø Match 1227.0
Axis 1360.0 (all: 840.0)
Highly imbalanced

Player Statistics (182)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 2744 128 26 4.92 0 1,535 580 880 317 85 min
#2 1738 107 26 4.12 3 1,327 500 780 110 81 min
#3 1243 69 9 7.67 0 763 320 1,300 80 85 min
#4 577 61 5 12.2 1 1,364 540 1,080 315 85 min
#5 1407 54 21 2.57 0 1,098 760 680 975 85 min
#6 1245 45 32 1.41 1 719 400 740 2,952 85 min
#7 1019 43 13 3.31 0 794 700 860 198 85 min
#8 855 39 7 5.57 2 855 220 1,460 220 85 min
#9 1097 39 25 1.56 0 736 380 880 2,645 81 min
#10 776 38 16 2.38 1 431 180 880 35 66 min
#11 1056 37 21 1.76 1 1,092 660 280 165 68 min
#12 664 37 10 3.7 3 420 180 1,440 5,698 85 min
#13 835 36 22 1.64 0 351 360 1,100 5 85 min
#14 909 35 17 2.06 0 620 700 260 55 59 min
#15 865 33 39 0.85 1 366 500 800 170 85 min
#16 862 31 5 6.2 3 624 40 1,640 235 85 min
#17 1054 29 19 1.53 2 576 660 680 2,587 82 min
#18 1259 27 4 6.75 0 630 300 500 85 42 min
#19 904 27 18 1.5 0 435 280 1,240 960 85 min
#20 978 27 27 1.0 0 280 780 660 2,585 84 min
#21 905 26 17 1.53 0 318 520 380 305 56 min
#22 749 26 23 1.13 0 244 900 600 30 88 min
#23 712 25 18 1.39 1 582 560 940 120 85 min
#24 818 25 23 1.09 0 360 860 420 80 85 min
#25 904 25 9 2.78 0 283 380 420 130 48 min
#26 963 25 23 1.09 1 270 200 1,280 210 85 min
#27 769 24 16 1.5 0 617 780 540 448 81 min
#28 826 24 33 0.73 0 446 640 660 15 85 min
#29 799 24 36 0.67 2 420 560 780 1,003 83 min
#30 844 24 13 1.85 0 363 960 500 360 85 min
#31 759 24 16 1.5 1 277 400 1,180 1,070 85 min
#32 777 24 12 2.0 1 256 200 660 10 51 min
#33 806 23 16 1.44 0 959 520 620 135 73 min
#34 888 23 32 0.72 0 369 560 500 30 71 min
#35 1383 23 12 1.92 0 318 140 280 91 27 min
#36 713 23 19 1.21 2 278 380 1,020 1,125 85 min
#37 682 23 25 0.92 3 254 580 880 45 85 min
#38 969 22 22 1.0 0 250 660 720 5 85 min
#39 728 22 15 1.47 1 192 120 1,000 280 67 min
#40 844 21 28 0.75 0 690 900 580 1,735 85 min
#41 682 21 20 1.05 0 414 580 720 180 81 min
#42 788 21 27 0.78 1 216 360 1,040 60 87 min
#43 793 20 22 0.91 1 672 1,120 160 10 78 min
#44 1135 20 17 1.18 1 414 0 460 20 34 min
#45 730 20 32 0.62 0 216 280 600 345 65 min
#46 1267 19 4 4.75 0 171 300 160 15 30 min
#47 684 18 34 0.53 0 376 720 580 530 85 min
#48 602 18 25 0.72 0 260 600 660 185 85 min
#49 1130 18 13 1.38 0 233 180 260 0 37 min
#50 996 18 15 1.2 0 217 600 240 30 56 min
#51 611 17 25 0.68 0 534 260 1,060 55 85 min
#52 653 17 27 0.63 0 438 40 1,320 120 85 min
#53 747 17 17 1.0 1 187 320 560 313 61 min
#54 640 16 25 0.64 0 197 180 1,300 926 85 min
#55 657 16 17 0.94 0 150 360 320 75 46 min
#56 912 16 13 1.23 0 145 140 220 75 31 min
#57 736 15 29 0.52 0 268 500 600 125 79 min
#58 941 15 21 0.71 0 248 560 540 0 68 min
#59 587 14 33 0.42 0 393 580 340 551 71 min
#60 709 14 12 1.17 0 379 220 360 10 36 min
#61 658 14 38 0.37 0 330 380 880 934 84 min
#62 972 14 11 1.27 0 263 0 460 143 32 min
#63 14 5 2.8 0 132 120 160 0 19 min
#64 617 13 33 0.39 2 384 460 840 5 83 min
#65 847 13 17 0.76 0 210 440 560 30 50 min
#66 784 12 7 1.71 0 279 380 480 282 48 min
#67 693 12 41 0.29 0 260 840 500 35 85 min
#68 654 12 23 0.52 0 187 220 1,100 20 84 min
#69 936 12 15 0.8 0 162 340 220 945 38 min
#70 819 12 32 0.38 0 157 400 940 1,296 85 min
#71 716 12 30 0.4 1 130 280 960 120 85 min
#72 692 12 23 0.52 0 111 340 580 10 68 min
#73 1099 12 18 0.67 0 106 80 440 225 34 min
#74 863 11 8 1.38 0 446 240 220 15 37 min
#75 658 11 2 5.5 2 183 280 600 70 47 min
#76 751 11 12 0.92 0 145 580 120 283 43 min
#77 1059 11 10 1.1 0 112 320 200 30 32 min
#78 758 11 11 1.0 0 110 240 1,200 30 84 min
#79 501 11 27 0.41 0 102 120 1,300 560 85 min
#80 887 10 13 0.77 1 231 200 180 35 32 min
#81 674 10 26 0.38 0 172 520 360 875 64 min
#82 608 10 19 0.53 0 105 540 280 130 54 min
#83 554 10 28 0.36 0 91 300 960 447 82 min
#84 773 9 14 0.64 0 1,348 640 940 1,830 85 min
#85 727 9 7 1.29 2 868 220 1,460 60 85 min
#86 575 9 15 0.6 0 153 220 500 90 47 min
#87 777 9 12 0.75 0 144 300 420 525 43 min
#88 533 9 25 0.36 0 95 900 300 45 81 min
#89 733 9 32 0.28 0 93 260 740 865 66 min
#90 815 8 7 1.14 0 1,033 520 1,120 345 85 min
#91 770 8 10 0.8 0 174 300 300 344 35 min
#92 495 8 38 0.21 0 170 660 600 5 86 min
#93 474 8 25 0.32 0 122 660 840 335 85 min
#94 760 8 14 0.57 1 99 20 620 15 48 min
#95 7 5 1.4 0 192 80 160 75 19 min
#96 976 7 5 1.4 1 152 180 220 1,735 25 min
#97 533 7 15 0.47 1 79 280 500 165 47 min
#98 782 7 20 0.35 0 79 40 540 559 40 min
#99 540 7 20 0.35 0 75 440 880 15 81 min
#100 810 7 12 0.58 0 71 0 540 245 35 min
#101 870 7 13 0.54 0 61 160 280 451 35 min
#102 641 6 24 0.25 1 136 380 540 298 66 min
#103 574 6 12 0.5 0 70 280 300 85 38 min
#104 6 2 3.0 0 63 180 20 10 14 min
#105 459 6 30 0.2 0 59 420 220 35 53 min
#106 624 5 6 0.83 0 346 600 220 105 42 min
#107 601 5 11 0.45 0 135 260 180 5 29 min
#108 725 5 15 0.33 0 104 340 100 30 31 min
#109 551 5 24 0.21 0 98 700 720 150 85 min
#110 621 5 14 0.36 0 65 240 160 5 31 min
#111 613 5 2 2.5 0 55 500 20 15 31 min
#112 5 7 0.71 0 44 240 80 153 18 min
#113 729 4 11 0.36 0 93 60 260 85 27 min
#114 4 5 0.8 0 87 120 80 15 14 min
#115 4 6 0.67 1 72 60 180 0 18 min
#116 679 4 9 0.44 2 53 0 780 491 53 min
#117 4 4 1.0 0 43 0 260 160 16 min
#118 717 4 11 0.36 0 42 460 160 453 39 min
#119 4 5 0.8 1 41 200 20 334 16 min
#120 621 3 10 0.3 1 92 140 400 75 36 min
#121 735 3 9 0.33 2 86 500 140 35 38 min
#122 3 5 0.6 0 74 200 20 10 14 min
#123 603 3 21 0.14 0 40 560 820 10 84 min
#124 630 3 4 0.75 1 39 220 360 75 36 min
#125 3 4 0.75 0 31 220 80 0 18 min
#126 698 3 8 0.38 0 30 120 200 80 25 min
#127 3 5 0.6 0 27 140 120 150 17 min
#128 512 2 6 0.33 0 818 220 1,420 285 85 min
#129 557 2 15 0.13 0 246 180 360 165 47 min
#130 690 2 5 0.4 0 94 140 440 0 34 min
#131 2 3 0.67 1 77 120 120 0 15 min
#132 756 2 14 0.14 1 23 120 440 20 51 min
#133 2 4 0.5 0 22 0 240 5 17 min
#134 2 1 2.0 0 14 140 40 0 10 min
#135 1 3 0.33 0 21 200 40 75 17 min
#136 967 1 7 0.14 0 14 100 180 230 21 min
#137 1 5 0.2 0 12 120 120 0 18 min
#138 1 4 0.25 0 12 160 40 0 15 min
#139 1 1 1.0 0 6 0 260 20 14 min
#140 1 1 1.0 0 3 0 40 0 4 min
#141 0 1 0.0 0 282 100 140 35 15 min
#142 0 3 0.0 0 68 100 100 5 15 min
#143 0 3 0.0 0 30 80 40 5 10 min
#144 0 6 0.0 1 21 60 160 0 18 min
#145 654 0 7 0.0 1 14 40 440 35 30 min
#146 0 4 0.0 0 13 160 80 75 15 min
#147 0 0 0.0 0 9 0 60 0 3 min
#148 0 1 0.0 0 5 0 0 0 3 min
#149 0 1 0.0 0 3 0 80 50 20 min
#150 0 3 0.0 0 2 60 60 80 8 min
#151 0 3 0.0 0 1 60 40 0 8 min
#152 0 0 0.0 1 1 0 100 0 4 min
#153 0 3 0.0 0 1 40 0 0 7 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 20 min
#157 0 0 0.0 0 0 0 0 0 3 min
#158 0 0 0.0 0 0 0 0 0 0 min
#159 0 0 0.0 0 0 0 0 0 2 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 3 min
#163 0 1 0.0 0 0 0 60 0 9 min
#164 0 0 0.0 0 0 0 0 0 2 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 0 0.0 0 0 0 0 0 0 min
#171 0 2 0.0 0 0 0 0 0 3 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 2 0.0 0 0 0 0 0 2 min
#174 0 0 0.0 0 0 0 20 25 5 min
#175 0 2 0.0 0 0 0 20 0 4 min
#176 0 1 0.0 0 0 0 0 0 3 min
#177 0 0 0.0 0 0 0 60 0 5 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 20 0 3 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 85 min