carentan_offensive_us

Carentan Offensive Day US attack

11.05.2026 16:54 | ! ! !GERMAN BATTLEGROUND #1 | LOW PING | GBG

Result

0:5

Allied wins

Players

198

Total Kills

1,321

Allied Kills

729

Axis Kills

592

Match Duration

84 min

Kills/Min

15.6

High Match ELO

Allies 1267.0 (all: 820.0)
Ø Match 1281.0
Axis 1294.0 (all: 752.0)

Player Statistics (198)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1423 55 10 5.5 1 745 420 520 4,958 54 min
#2 1657 49 17 2.88 0 671 520 140 95 42 min
#3 1281 49 27 1.81 1 619 580 220 45 55 min
#4 49 9 5.44 0 597 0 280 186 18 min
#5 1760 44 8 5.5 0 1,137 320 160 110 32 min
#6 682 33 0 33.0 2 1,154 60 500 5 29 min
#7 793 29 5 5.8 0 612 180 420 45 34 min
#8 612 29 1 29.0 3 417 440 220 0 34 min
#9 1585 28 11 2.55 0 450 240 100 30 22 min
#10 1097 27 21 1.29 0 326 0 640 100 44 min
#11 1079 27 9 3.0 0 238 120 400 30 31 min
#12 1182 26 15 1.73 1 196 20 520 1,075 35 min
#13 24 12 2.0 0 257 100 140 5 17 min
#14 1075 22 17 1.29 0 192 720 100 225 53 min
#15 845 22 11 2.0 0 192 600 220 10 49 min
#16 766 21 22 0.95 1 476 160 460 10 41 min
#17 1059 21 13 1.62 0 186 720 220 205 53 min
#18 825 19 15 1.27 0 404 900 140 465 58 min
#19 845 18 13 1.38 0 259 740 60 15 54 min
#20 896 18 25 0.72 0 208 300 220 612 38 min
#21 738 18 27 0.67 0 181 100 540 136 46 min
#22 1046 17 14 1.21 2 391 40 480 311 44 min
#23 855 17 8 2.12 0 208 40 400 105 33 min
#24 923 17 14 1.21 1 183 140 380 305 33 min
#25 806 17 16 1.06 0 177 740 100 15 50 min
#26 751 16 7 2.29 0 444 60 700 75 49 min
#27 839 16 14 1.14 0 314 760 220 40 59 min
#28 716 16 6 2.67 0 125 520 520 15 55 min
#29 832 15 13 1.15 0 192 400 100 20 33 min
#30 15 5 3.0 0 169 140 0 10 11 min
#31 14 6 2.33 0 242 0 140 40 11 min
#32 848 14 23 0.61 1 143 120 580 862 49 min
#33 691 14 8 1.75 1 117 60 480 1,711 32 min
#34 848 13 10 1.3 1 318 60 440 45 33 min
#35 626 13 14 0.93 1 142 100 640 320 46 min
#36 1022 13 12 1.08 2 101 480 480 917 57 min
#37 970 12 10 1.2 0 314 160 180 5 23 min
#38 791 12 16 0.75 0 165 0 260 0 28 min
#39 880 12 14 0.86 0 155 480 0 440 32 min
#40 12 2 6.0 0 115 100 80 30 11 min
#41 574 11 7 1.57 0 436 40 680 10 51 min
#42 1525 11 10 1.1 0 151 120 180 5 23 min
#43 685 11 12 0.92 0 102 440 40 85 31 min
#44 931 11 9 1.22 0 89 20 320 10 22 min
#45 760 10 9 1.11 0 146 340 60 380 25 min
#46 1100 10 9 1.11 0 138 400 40 110 27 min
#47 860 10 10 1.0 0 136 300 180 980 36 min
#48 983 10 19 0.53 0 107 0 400 10 28 min
#49 649 10 12 0.83 0 99 180 340 90 54 min
#50 984 9 14 0.64 2 430 400 180 1,315 39 min
#51 682 9 9 1.0 0 280 420 120 0 34 min
#52 645 9 20 0.45 0 228 640 120 15 50 min
#53 483 9 25 0.36 0 152 20 640 275 56 min
#54 938 9 22 0.41 0 145 240 300 25 38 min
#55 620 9 14 0.64 1 88 560 220 469 61 min
#56 9 4 2.25 0 81 0 340 0 19 min
#57 9 5 1.8 0 77 120 0 60 11 min
#58 746 8 0 8.0 2 1,169 60 500 35 29 min
#59 596 8 16 0.5 1 226 340 480 295 50 min
#60 976 8 10 0.8 0 127 0 240 0 22 min
#61 888 8 13 0.62 0 90 360 180 0 35 min
#62 606 8 12 0.67 0 67 80 600 15 45 min
#63 507 7 13 0.54 0 222 340 440 50 47 min
#64 594 7 6 1.17 0 129 680 320 565 55 min
#65 7 4 1.75 0 118 220 80 275 19 min
#66 854 7 13 0.54 1 101 340 120 150 34 min
#67 452 7 16 0.44 1 84 520 60 20 37 min
#68 585 7 16 0.44 0 74 0 440 335 29 min
#69 754 6 9 0.67 2 74 180 380 5 36 min
#70 6 6 1.0 0 68 0 200 15 14 min
#71 767 6 11 0.55 0 58 60 700 185 49 min
#72 6 6 1.0 0 51 140 120 35 16 min
#73 603 6 8 0.75 0 49 160 300 25 29 min
#74 527 6 10 0.6 0 48 20 760 250 48 min
#75 592 5 13 0.38 1 110 440 20 100 36 min
#76 5 5 1.0 0 51 0 320 80 19 min
#77 533 4 1 4.0 0 386 440 220 115 34 min
#78 416 4 8 0.5 0 246 800 100 75 63 min
#79 664 4 11 0.36 0 192 60 360 170 27 min
#80 698 4 7 0.57 1 137 140 100 100 21 min
#81 615 4 12 0.33 0 101 260 120 5 28 min
#82 4 10 0.4 0 61 0 320 0 20 min
#83 466 4 18 0.22 0 46 100 1,040 0 69 min
#84 688 4 14 0.29 0 46 200 420 170 36 min
#85 512 4 11 0.36 0 45 0 480 240 29 min
#86 4 9 0.44 0 44 0 220 0 16 min
#87 528 4 10 0.4 0 39 280 160 150 39 min
#88 982 4 13 0.31 0 34 320 0 0 24 min
#89 537 4 13 0.31 0 31 140 320 10 30 min
#90 1155 3 6 0.5 0 381 160 700 160 52 min
#91 753 3 11 0.27 0 79 60 280 110 26 min
#92 440 3 18 0.17 0 77 80 360 75 45 min
#93 3 5 0.6 0 50 180 0 0 16 min
#94 780 3 5 0.6 0 45 40 220 1,090 50 min
#95 3 10 0.3 0 34 0 200 30 13 min
#96 3 2 1.5 0 31 120 20 0 10 min
#97 3 9 0.33 0 30 0 120 0 15 min
#98 3 9 0.33 0 26 0 160 0 16 min
#99 3 2 1.5 0 25 0 160 0 19 min
#100 446 2 14 0.14 0 128 20 240 0 21 min
#101 439 2 8 0.25 0 27 160 160 0 24 min
#102 2 1 2.0 0 25 80 120 30 14 min
#103 2 6 0.33 0 21 0 180 0 14 min
#104 2 3 0.67 0 21 120 100 245 14 min
#105 359 2 20 0.1 0 21 140 360 100 40 min
#106 2 1 2.0 0 20 120 40 65 15 min
#107 2 2 1.0 0 19 0 20 0 3 min
#108 2 2 1.0 0 18 0 120 35 8 min
#109 2 2 1.0 0 18 100 0 20 6 min
#110 2 2 1.0 0 15 40 200 0 16 min
#111 362 2 2 1.0 0 12 40 220 0 38 min
#112 685 2 3 0.67 0 12 0 300 1,085 24 min
#113 1 13 0.08 0 129 160 20 150 14 min
#114 1 3 0.33 0 62 0 60 0 5 min
#115 516 1 4 0.25 0 60 140 200 0 22 min
#116 460 1 6 0.17 2 19 200 360 20 40 min
#117 478 1 10 0.1 1 16 20 240 5 21 min
#118 647 1 7 0.14 0 16 200 80 0 20 min
#119 1 7 0.14 0 14 0 120 375 13 min
#120 1 5 0.2 0 14 0 160 0 13 min
#121 1 2 0.5 0 11 100 120 30 15 min
#122 539 1 3 0.33 0 11 280 20 130 32 min
#123 1 4 0.25 0 11 0 120 0 10 min
#124 1 3 0.33 0 10 0 140 0 8 min
#125 1 4 0.25 0 10 140 80 0 14 min
#126 1 1 1.0 0 9 60 0 0 6 min
#127 1 3 0.33 0 9 40 100 120 10 min
#128 590 1 7 0.14 0 6 200 340 30 39 min
#129 0 0 0.0 0 1,091 60 500 230 28 min
#130 0 1 0.0 0 343 440 220 140 35 min
#131 456 0 9 0.0 0 61 380 60 10 29 min
#132 0 5 0.0 0 14 120 120 5 18 min
#133 0 1 0.0 0 6 0 60 0 4 min
#134 582 0 3 0.0 0 4 260 60 0 23 min
#135 0 2 0.0 0 3 80 20 0 10 min
#136 0 3 0.0 0 3 20 120 0 12 min
#137 0 1 0.0 0 2 40 20 0 5 min
#138 0 0 0.0 0 2 100 180 0 20 min
#139 0 8 0.0 0 2 0 40 0 5 min
#140 0 1 0.0 0 1 0 20 5 4 min
#141 0 1 0.0 0 1 0 20 0 3 min
#142 0 1 0.0 0 1 0 200 292 11 min
#143 0 0 0.0 0 0 0 0 0 0 min
#144 0 2 0.0 0 0 0 140 132 10 min
#145 0 0 0.0 0 0 60 0 0 7 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 348 0 2 0.0 0 0 20 220 0 29 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 140 0 8 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 20 0 1 min
#152 0 1 0.0 0 0 0 20 0 3 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 0 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 3 0 100 0 71 6 min
#158 0 0 0.0 0 0 0 0 0 0 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 12 0 0 200 0 12 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 80 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 1 0.0 0 0 0 0 0 1 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 0 0.0 0 0 0 0 0 1 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 80 0 0 5 min
#171 0 8 0.0 0 0 20 140 97 15 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 34 min
#175 0 1 0.0 0 0 0 0 0 1 min
#176 0 0 0.0 0 0 0 0 0 1 min
#177 0 0 0.0 0 0 0 0 0 0 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 1 0.0 0 0 20 0 0 19 min
#181 0 0 0.0 0 0 0 0 0 8 min
#182 0 1 0.0 0 0 0 60 0 4 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 1 min
#186 0 1 0.0 0 0 0 520 0 31 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 0 min
#190 0 0 0.0 0 0 0 0 0 1 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 1 min
#195 0 0 0.0 0 0 0 0 0 2 min
#196 0 0 0.0 0 0 0 0 0 0 min
#197 0 1 0.0 0 0 120 60 0 12 min
#198 0 7 0.0 0 0 160 0 0 13 min