carentan_offensive_ger

Carentan Offensive Day GER attack

15.05.2026 13:18 | #3 EXD.gg

Result

3:2

Axis wins

Players

183

Total Kills

1,664

Allied Kills

884

Axis Kills

780

Match Duration

64 min

Kills/Min

26.1

High Match ELO

Allies 1257.0 (all: 822.0)
Ø Match 1219.0
Axis 1180.0 (all: 809.0)

Player Statistics (183)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 2229 108 23 4.7 0 1,137 100 700 313 52 min
#2 1659 53 14 3.79 0 460 560 460 25 59 min
#3 1268 49 35 1.4 0 475 20 860 420 59 min
#4 1094 44 26 1.69 0 411 0 900 35 59 min
#5 42 2 21.0 0 386 180 80 35 16 min
#6 1151 35 13 2.69 0 601 0 1,060 750 59 min
#7 968 33 16 2.06 2 460 60 1,020 3,313 59 min
#8 999 29 24 1.21 0 410 160 760 0 61 min
#9 622 29 21 1.38 0 269 0 1,020 200 59 min
#10 1445 28 11 2.55 1 545 420 580 3,351 59 min
#11 781 28 2 14.0 14 224 80 1,120 0 59 min
#12 560 26 3 8.67 1 532 240 880 35 61 min
#13 960 26 17 1.53 0 386 240 640 40 54 min
#14 912 25 18 1.39 1 786 580 160 50 59 min
#15 947 25 28 0.89 0 558 260 700 20 59 min
#16 1048 25 31 0.81 0 377 680 200 80 59 min
#17 1139 24 11 2.18 0 401 60 640 20 40 min
#18 900 23 20 1.15 0 366 160 780 0 59 min
#19 1345 22 16 1.38 2 383 560 240 40 60 min
#20 1005 22 28 0.79 2 364 620 340 1,418 59 min
#21 821 21 20 1.05 0 747 720 220 110 59 min
#22 1235 21 8 2.62 0 480 140 320 75 26 min
#23 1254 21 11 1.91 0 308 360 120 1,060 37 min
#24 986 21 5 4.2 0 230 660 480 25 59 min
#25 957 20 17 1.18 0 397 720 180 30 59 min
#26 1133 20 16 1.25 0 386 20 620 215 59 min
#27 659 20 18 1.11 0 351 20 860 450 59 min
#28 786 20 22 0.91 1 337 760 220 325 59 min
#29 872 20 14 1.43 0 336 440 140 80 37 min
#30 716 20 22 0.91 0 309 60 940 25 61 min
#31 899 20 31 0.65 1 286 300 320 590 53 min
#32 908 20 20 1.0 0 201 700 180 85 59 min
#33 911 20 10 2.0 0 185 540 200 30 47 min
#34 509 19 2 9.5 0 149 0 1,000 40 60 min
#35 1185 18 7 2.57 0 189 0 380 130 25 min
#36 765 16 2 8.0 2 617 0 740 140 38 min
#37 617 16 25 0.64 0 198 720 180 710 59 min
#38 757 16 16 1.0 0 195 0 1,040 0 62 min
#39 690 16 3 5.33 0 188 0 980 185 57 min
#40 945 16 20 0.8 0 155 720 200 605 62 min
#41 1024 16 25 0.64 0 151 620 340 100 59 min
#42 1032 15 11 1.36 1 323 40 380 898 30 min
#43 733 14 23 0.61 0 312 160 780 20 59 min
#44 577 14 1 14.0 6 301 220 180 10 61 min
#45 882 14 19 0.74 0 297 600 320 5 62 min
#46 852 14 27 0.52 0 194 580 160 50 51 min
#47 575 14 14 1.0 0 171 260 200 270 32 min
#48 830 13 18 0.72 0 652 260 740 685 59 min
#49 937 13 10 1.3 1 306 320 40 0 26 min
#50 696 13 11 1.18 0 192 20 700 290 43 min
#51 805 13 10 1.3 0 171 240 80 5 21 min
#52 933 13 14 0.93 0 167 360 160 335 33 min
#53 635 13 8 1.62 0 132 600 160 211 49 min
#54 821 13 9 1.44 0 122 0 1,080 3,472 59 min
#55 652 12 10 1.2 0 209 60 700 60 45 min
#56 734 12 11 1.09 0 117 20 740 170 44 min
#57 958 11 17 0.65 0 83 420 120 20 43 min
#58 954 10 17 0.59 0 301 300 220 30 54 min
#59 1090 10 8 1.25 0 239 0 420 245 26 min
#60 759 10 17 0.59 0 158 20 440 5 34 min
#61 726 10 17 0.59 0 106 20 640 25 47 min
#62 678 10 3 3.33 0 99 0 360 30 25 min
#63 671 9 11 0.82 1 282 140 780 205 59 min
#64 604 9 7 1.29 0 148 0 1,120 2,229 58 min
#65 801 9 14 0.64 0 94 780 180 773 59 min
#66 920 9 9 1.0 0 79 360 0 50 23 min
#67 804 9 7 1.29 0 76 80 420 0 29 min
#68 9 9 1.0 0 71 280 20 95 20 min
#69 755 9 11 0.82 0 68 340 40 5 26 min
#70 837 8 33 0.24 0 416 660 160 60 58 min
#71 720 8 26 0.31 0 194 500 240 0 54 min
#72 637 8 30 0.27 0 133 660 280 35 59 min
#73 899 8 11 0.73 0 125 0 380 0 24 min
#74 597 8 10 0.8 0 102 0 860 35 49 min
#75 647 8 23 0.35 0 72 680 280 2,085 59 min
#76 803 8 19 0.42 0 71 540 280 5 55 min
#77 8 3 2.67 0 68 100 160 0 19 min
#78 563 7 29 0.24 0 81 680 200 600 60 min
#79 807 7 9 0.78 0 77 40 320 150 25 min
#80 937 7 7 1.0 0 63 220 0 5 22 min
#81 1201 6 2 3.0 0 605 0 740 255 38 min
#82 663 6 10 0.6 0 322 640 180 471 45 min
#83 613 6 12 0.5 0 121 420 100 105 37 min
#84 6 7 0.86 0 89 0 240 15 17 min
#85 545 6 23 0.26 0 80 0 840 0 59 min
#86 583 6 18 0.33 0 78 460 220 108 46 min
#87 593 5 21 0.24 0 144 0 600 45 59 min
#88 552 5 18 0.28 0 84 20 540 15 43 min
#89 449 5 22 0.23 0 65 100 460 10 43 min
#90 813 5 12 0.42 1 61 320 100 110 29 min
#91 643 5 18 0.28 0 58 280 140 80 32 min
#92 1079 4 5 0.8 0 241 0 1,160 30 59 min
#93 4 8 0.5 0 196 0 300 45 18 min
#94 640 4 9 0.44 3 100 0 1,120 3,376 59 min
#95 4 3 1.33 0 84 60 0 0 6 min
#96 4 3 1.33 0 40 0 180 0 10 min
#97 533 3 8 0.38 0 91 220 80 5 21 min
#98 832 3 15 0.2 0 88 0 460 120 30 min
#99 722 3 4 0.75 1 87 180 260 0 32 min
#100 422 3 10 0.3 0 45 100 460 0 34 min
#101 758 3 9 0.33 0 40 200 20 90 20 min
#102 3 1 3.0 0 35 0 160 0 11 min
#103 3 2 1.5 0 33 0 220 10 14 min
#104 3 2 1.5 0 32 80 120 50 11 min
#105 804 3 9 0.33 1 32 0 1,100 3,479 59 min
#106 3 7 0.43 0 31 260 0 40 19 min
#107 3 4 0.75 0 26 0 220 45 15 min
#108 3 4 0.75 0 21 0 160 0 11 min
#109 3 1 3.0 0 20 60 20 0 4 min
#110 720 2 2 1.0 0 328 80 140 45 34 min
#111 2 2 1.0 0 73 0 280 135 16 min
#112 733 2 10 0.2 0 71 220 220 5 29 min
#113 2 3 0.67 0 70 0 180 50 12 min
#114 2 3 0.67 0 67 120 0 0 8 min
#115 931 2 8 0.25 0 50 80 200 565 21 min
#116 730 2 12 0.17 0 42 120 320 110 29 min
#117 2 5 0.4 0 34 0 240 0 16 min
#118 579 2 15 0.13 0 23 320 60 280 27 min
#119 2 1 2.0 0 20 20 100 5 7 min
#120 2 6 0.33 0 19 220 0 0 19 min
#121 2 3 0.67 0 14 0 80 0 11 min
#122 2 3 0.67 0 13 120 120 175 14 min
#123 744 1 3 0.33 1 140 220 300 165 36 min
#124 1 3 0.33 0 62 0 280 310 16 min
#125 1 0 1.0 0 61 100 180 15 6 min
#126 830 1 14 0.07 0 30 300 260 375 44 min
#127 1 1 1.0 0 25 0 120 0 7 min
#128 627 1 4 0.25 0 19 300 120 250 27 min
#129 528 1 1 1.0 0 18 180 260 250 25 min
#130 1 9 0.11 0 17 240 60 0 20 min
#131 1 3 0.33 0 12 0 200 0 12 min
#132 1 3 0.33 0 11 220 40 5 14 min
#133 556 1 7 0.14 0 11 280 60 15 22 min
#134 1 5 0.2 0 10 260 20 0 18 min
#135 1 1 1.0 0 10 0 100 0 6 min
#136 561 1 5 0.2 0 9 0 260 230 31 min
#137 1 3 0.33 0 8 80 40 0 10 min
#138 1 3 0.33 0 7 0 180 65 13 min
#139 0 0 0.0 0 119 0 380 25 20 min
#140 0 0 0.0 0 60 0 380 0 0 min
#141 0 0 0.0 0 25 40 60 70 59 min
#142 502 0 9 0.0 0 17 0 600 0 35 min
#143 0 1 0.0 0 11 0 140 0 9 min
#144 0 5 0.0 1 9 180 20 25 20 min
#145 0 0 0.0 0 8 0 60 0 5 min
#146 0 1 0.0 2 7 0 140 50 12 min
#147 0 1 0.0 0 5 80 120 30 14 min
#148 0 3 0.0 0 3 0 40 5 6 min
#149 0 1 0.0 0 2 0 120 0 7 min
#150 0 5 0.0 0 2 60 40 20 14 min
#151 0 3 0.0 0 1 100 0 0 9 min
#152 0 1 0.0 0 1 40 120 0 13 min
#153 0 4 0.0 0 1 60 140 15 12 min
#154 0 0 0.0 0 0 0 20 0 2 min
#155 0 0 0.0 0 0 0 0 0 2 min
#156 0 0 0.0 0 0 0 0 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 0 min
#159 0 0 0.0 0 0 20 0 0 2 min
#160 0 0 0.0 0 0 0 0 0 0 min
#161 0 3 0.0 0 0 0 100 30 8 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 20 0 0 7 min
#164 0 1 0.0 0 0 20 0 0 2 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 1 0.0 0 0 100 60 95 9 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 1 0.0 0 0 0 60 0 7 min
#170 0 3 0.0 0 0 140 0 0 12 min
#171 0 0 0.0 0 0 0 0 0 0 min
#172 0 0 0.0 0 0 0 0 0 6 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 0 0 1 min
#175 0 0 0.0 0 0 0 0 0 0 min
#176 0 0 0.0 0 0 0 0 0 8 min
#177 0 0 0.0 0 0 0 0 0 2 min
#178 0 0 0.0 0 0 0 0 0 0 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 40 235 10 min
#182 0 0 0.0 0 0 0 0 0 59 min
#183 0 0 0.0 0 0 0 0 0 0 min