carentan_offensive_us

Carentan Offensive Day US attack

08.06.2026 21:28 | POWERBITS GAMETEAM HLL OFFENSIVE | LOW PING

Result

2:3

Allied wins

Players

199

Total Kills

1,643

Allied Kills

826

Axis Kills

817

Match Duration

64 min

Kills/Min

25.8

High Match ELO

Allies 1145.0 (all: 788.0)
Ø Match 1240.0
Axis 1335.0 (all: 815.0)
Imbalanced

Player Statistics (199)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1139 78 19 4.11 9 1,028 580 360 3,129 59 min
#2 1493 52 22 2.36 0 661 0 540 155 37 min
#3 1224 39 14 2.79 0 595 660 140 5 52 min
#4 981 39 4 9.75 8 340 0 1,120 175 59 min
#5 1770 38 22 1.73 0 832 20 740 574 50 min
#6 887 37 23 1.61 0 386 800 160 220 59 min
#7 903 36 12 3.0 0 359 720 140 20 53 min
#8 1533 35 19 1.84 1 416 960 40 1,211 59 min
#9 876 33 24 1.38 2 362 0 960 25 59 min
#10 840 32 8 4.0 0 369 580 540 250 59 min
#11 1026 31 26 1.19 0 391 720 40 490 53 min
#12 914 29 22 1.32 5 492 20 920 515 59 min
#13 1627 29 14 2.07 0 267 0 400 130 28 min
#14 1068 28 29 0.97 0 476 760 140 150 59 min
#15 765 28 18 1.56 1 268 0 1,000 370 59 min
#16 1019 26 8 3.25 2 656 740 280 20 58 min
#17 1132 24 7 3.43 0 235 0 700 70 39 min
#18 771 23 20 1.15 1 282 580 200 1,045 49 min
#19 1449 23 10 2.3 0 281 40 280 25 28 min
#20 950 22 24 0.92 0 343 520 60 115 42 min
#21 910 22 13 1.69 0 342 0 1,060 2,447 59 min
#22 1155 22 28 0.79 0 330 0 860 305 59 min
#23 867 22 31 0.71 0 244 0 920 610 62 min
#24 962 21 24 0.88 0 220 600 100 25 50 min
#25 814 20 17 1.18 0 546 20 680 320 43 min
#26 1201 20 22 0.91 1 459 500 80 225 45 min
#27 874 20 24 0.83 0 294 40 820 325 54 min
#28 843 20 9 2.22 0 197 0 720 45 40 min
#29 1217 20 23 0.87 3 180 0 740 15 58 min
#30 863 19 14 1.36 0 197 540 220 195 44 min
#31 1577 19 11 1.73 0 167 80 440 1,331 38 min
#32 855 18 21 0.86 0 1,193 520 1,120 467 59 min
#33 877 18 27 0.67 1 193 380 280 20 49 min
#34 757 18 17 1.06 0 169 40 800 45 56 min
#35 1037 17 15 1.13 0 513 20 620 495 40 min
#36 812 17 14 1.21 0 137 600 220 350 49 min
#37 1179 16 7 2.29 0 397 480 80 110 33 min
#38 793 16 14 1.14 0 341 720 180 685 56 min
#39 824 16 20 0.8 0 180 720 280 1,620 59 min
#40 867 15 28 0.54 0 190 0 940 1,055 59 min
#41 758 15 16 0.94 0 182 660 100 1,088 50 min
#42 997 15 18 0.83 1 177 0 1,020 490 59 min
#43 762 15 14 1.07 0 171 20 1,080 45 60 min
#44 633 14 23 0.61 0 879 320 560 25 58 min
#45 13 9 1.44 0 497 180 20 80 17 min
#46 1103 13 7 1.86 0 322 0 520 30 33 min
#47 499 13 15 0.87 0 202 0 1,060 35 59 min
#48 721 13 8 1.62 0 156 20 480 75 37 min
#49 684 13 19 0.68 0 143 0 980 30 58 min
#50 796 13 25 0.52 0 135 0 940 85 60 min
#51 705 12 11 1.09 0 329 80 1,000 1,331 59 min
#52 745 12 18 0.67 1 306 0 820 141 50 min
#53 835 12 22 0.55 0 119 640 240 85 59 min
#54 731 11 11 1.0 0 150 940 140 490 59 min
#55 866 11 10 1.1 1 132 360 60 10 28 min
#56 569 11 10 1.1 0 129 0 920 50 54 min
#57 718 11 20 0.55 0 119 460 500 2,336 59 min
#58 982 11 7 1.57 0 116 0 280 0 21 min
#59 507 11 14 0.79 0 104 0 1,020 70 59 min
#60 846 10 7 1.43 0 321 780 100 170 52 min
#61 693 10 11 0.91 2 198 300 100 335 30 min
#62 808 10 11 0.91 0 122 600 260 3,100 48 min
#63 621 10 18 0.56 0 88 80 880 60 62 min
#64 792 9 8 1.12 0 534 60 700 768 49 min
#65 741 9 5 1.8 0 418 0 940 200 50 min
#66 623 9 19 0.47 0 108 20 660 1,570 48 min
#67 735 9 8 1.12 0 86 680 220 764 49 min
#68 805 9 6 1.5 0 75 140 620 65 44 min
#69 9 4 2.25 0 70 200 40 0 19 min
#70 815 9 12 0.75 0 67 220 260 95 30 min
#71 579 8 11 0.73 0 478 980 80 30 59 min
#72 635 8 5 1.6 3 439 540 560 135 59 min
#73 638 8 19 0.42 0 113 580 200 85 50 min
#74 8 9 0.89 1 65 180 60 15 16 min
#75 694 8 15 0.53 0 57 220 280 0 30 min
#76 838 7 17 0.41 0 223 720 80 30 59 min
#77 7 12 0.58 0 211 140 60 5 18 min
#78 707 7 10 0.7 0 172 800 80 345 50 min
#79 591 7 15 0.47 0 114 420 620 260 59 min
#80 743 7 9 0.78 1 89 420 100 5 34 min
#81 611 7 15 0.47 0 67 60 660 0 52 min
#82 576 6 5 1.2 1 436 540 560 50 59 min
#83 483 6 4 1.5 1 184 200 120 0 24 min
#84 764 6 6 1.0 0 182 0 840 0 47 min
#85 657 6 6 1.0 0 151 380 360 80 45 min
#86 547 6 13 0.46 0 143 580 200 250 44 min
#87 618 6 11 0.55 0 104 460 100 25 38 min
#88 517 6 25 0.24 0 75 0 960 399 59 min
#89 6 6 1.0 0 63 160 40 0 14 min
#90 618 6 11 0.55 0 62 540 200 150 44 min
#91 6 3 2.0 0 57 280 40 15 17 min
#92 696 6 3 2.0 0 52 400 220 45 37 min
#93 6 6 1.0 0 45 180 20 0 16 min
#94 646 5 19 0.26 0 44 580 140 700 50 min
#95 472 5 14 0.36 0 39 60 960 100 59 min
#96 631 4 14 0.29 0 359 300 380 0 44 min
#97 530 4 24 0.17 3 135 620 120 95 49 min
#98 4 4 1.0 1 124 0 120 150 7 min
#99 4 1 4.0 0 54 160 60 0 12 min
#100 4 8 0.5 0 43 160 60 105 18 min
#101 554 4 20 0.2 4 33 600 120 370 49 min
#102 721 4 4 1.0 2 32 240 120 213 22 min
#103 470 4 19 0.21 0 31 20 760 0 59 min
#104 831 3 6 0.5 0 72 300 200 85 33 min
#105 517 3 12 0.25 0 46 0 360 25 31 min
#106 606 3 10 0.3 0 42 40 340 0 36 min
#107 395 3 19 0.16 0 35 20 660 0 52 min
#108 3 1 3.0 0 34 0 20 0 7 min
#109 3 1 3.0 0 24 100 0 0 9 min
#110 3 1 3.0 0 22 240 100 5 19 min
#111 437 2 5 0.4 0 394 0 940 80 50 min
#112 2 3 0.67 0 74 100 0 110 8 min
#113 674 2 6 0.33 0 40 320 80 0 27 min
#114 805 2 4 0.5 0 26 120 260 90 23 min
#115 431 2 2 1.0 0 22 0 400 0 22 min
#116 2 2 1.0 0 20 100 160 75 15 min
#117 2 2 1.0 0 15 0 240 0 14 min
#118 795 1 8 0.12 0 426 0 860 80 47 min
#119 601 1 3 0.33 1 71 20 740 2,191 42 min
#120 544 1 6 0.17 2 35 40 600 1,333 59 min
#121 498 1 13 0.08 0 22 320 160 5 43 min
#122 503 1 2 0.5 0 21 0 360 5 26 min
#123 1 5 0.2 0 18 0 240 43 18 min
#124 1 2 0.5 0 15 40 100 0 8 min
#125 1 3 0.33 0 14 60 20 0 7 min
#126 1 3 0.33 0 13 0 60 75 6 min
#127 501 1 8 0.12 0 11 120 260 450 24 min
#128 1 1 1.0 0 11 0 0 0 2 min
#129 1 6 0.17 0 8 0 240 10 16 min
#130 0 0 0.0 0 595 540 220 0 0 min
#131 0 0 0.0 0 73 20 660 745 0 min
#132 625 0 6 0.0 0 58 0 240 135 21 min
#133 0 4 0.0 0 54 0 120 0 11 min
#134 0 4 0.0 0 3 160 60 150 16 min
#135 0 3 0.0 0 2 100 40 0 10 min
#136 0 3 0.0 0 2 180 80 0 15 min
#137 0 3 0.0 0 2 60 40 160 9 min
#138 0 3 0.0 0 2 60 20 0 7 min
#139 0 1 0.0 0 1 20 0 0 3 min
#140 0 0 0.0 0 1 0 0 0 1 min
#141 0 2 0.0 0 1 0 60 50 5 min
#142 0 0 0.0 0 0 0 0 0 0 min
#143 0 0 0.0 0 0 0 0 0 0 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 1 0.0 0 0 0 20 0 1 min
#146 0 0 0.0 0 0 0 0 0 0 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 0 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 0 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 0 0 0 min
#156 0 5 0.0 0 0 0 100 245 7 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 0 0.0 0 0 0 0 0 0 min
#163 0 1 0.0 0 0 20 0 0 8 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 0 min
#169 0 0 0.0 0 0 0 60 0 3 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 4 min
#175 0 0 0.0 0 0 0 0 0 0 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 0 0 1 min
#178 0 0 0.0 0 0 0 60 0 4 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 0 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 0 0 0 0 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 0 0.0 0 0 0 0 0 0 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 0 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 20 0 0 3 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
#198 0 0 0.0 0 0 0 0 0 0 min
#199 0 0 0.0 0 0 0 0 0 0 min