carentan_offensive_ger

Carentan Offensive Day GER attack

10.01.2026 08:36 | [Merc] US West | Offensive

Result

1:4

Allied wins

Players

143

Total Kills

873

Allied Kills

434

Axis Kills

439

Match Duration

34 min

Kills/Min

25.8

Normal Match ELO

Allies 1136.0 (all: 834.0)
Ø Match 1148.0
Axis 1159.0 (all: 847.0)

Player Statistics (143)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1157 32 3 10.67 7 899 240 280 120 29 min
#2 1206 28 16 1.75 0 473 0 460 345 29 min
#3 922 28 15 1.87 0 402 300 100 45 32 min
#4 1306 27 2 13.5 4 1,509 280 620 890 29 min
#5 1221 26 11 2.36 1 417 0 480 180 29 min
#6 824 25 1 25.0 9 227 0 580 705 29 min
#7 922 24 2 12.0 0 632 0 580 80 29 min
#8 819 24 3 8.0 3 262 200 360 1,685 29 min
#9 1086 24 7 3.43 0 231 0 520 10 28 min
#10 1203 22 4 5.5 0 188 300 80 95 21 min
#11 21 8 2.62 0 245 280 20 0 19 min
#12 845 21 18 1.17 0 194 0 440 5 29 min
#13 1148 20 16 1.25 0 324 280 140 25 32 min
#14 1232 20 3 6.67 0 234 240 300 15 29 min
#15 1067 20 13 1.54 0 217 0 500 5 29 min
#16 1270 20 3 6.67 0 187 0 580 1,120 29 min
#17 999 19 11 1.73 0 252 440 60 325 29 min
#18 806 19 17 1.12 0 185 340 100 305 29 min
#19 805 18 12 1.5 2 159 360 160 125 29 min
#20 690 17 15 1.13 0 205 0 500 0 29 min
#21 1021 17 9 1.89 1 146 340 100 180 28 min
#22 913 16 12 1.33 0 374 320 200 145 29 min
#23 1367 16 16 1.0 0 136 340 120 1,611 29 min
#24 1113 15 10 1.5 1 301 0 540 20 29 min
#25 1118 13 11 1.18 0 140 0 440 20 26 min
#26 901 13 3 4.33 0 125 0 560 115 31 min
#27 818 11 7 1.57 5 424 0 520 185 29 min
#28 943 11 14 0.79 0 103 20 400 190 29 min
#29 1254 10 15 0.67 1 141 0 500 195 29 min
#30 848 10 4 2.5 1 98 0 400 5 23 min
#31 1185 9 17 0.53 1 242 20 440 150 29 min
#32 731 9 16 0.56 0 199 0 500 15 29 min
#33 830 9 8 1.12 0 156 280 20 10 23 min
#34 1181 9 11 0.82 0 142 60 440 249 29 min
#35 978 9 13 0.69 1 72 280 60 260 23 min
#36 785 8 6 1.33 0 274 0 540 110 29 min
#37 8 5 1.6 0 162 0 240 75 16 min
#38 770 8 10 0.8 0 116 0 540 170 29 min
#39 620 8 4 2.0 0 52 460 100 197 29 min
#40 547 7 8 0.88 0 192 460 80 0 29 min
#41 565 7 9 0.78 0 123 0 560 5 29 min
#42 1044 7 11 0.64 0 112 320 40 20 25 min
#43 868 7 22 0.32 0 82 360 80 415 29 min
#44 737 7 10 0.7 0 82 360 100 5 29 min
#45 778 7 12 0.58 0 77 300 100 105 29 min
#46 962 6 9 0.67 0 208 380 140 810 29 min
#47 577 6 9 0.67 1 170 0 420 25 29 min
#48 1225 6 7 0.86 0 167 320 120 160 24 min
#49 641 6 12 0.5 0 128 320 160 236 29 min
#50 6 9 0.67 1 106 0 200 0 14 min
#51 653 6 19 0.32 0 87 360 100 0 29 min
#52 612 6 4 1.5 0 64 0 540 255 32 min
#53 999 6 11 0.55 0 56 0 520 20 29 min
#54 638 5 12 0.42 0 94 0 500 160 32 min
#55 489 5 11 0.45 0 74 0 520 75 29 min
#56 695 5 8 0.62 0 60 0 280 10 21 min
#57 726 5 14 0.36 0 55 320 80 1,060 32 min
#58 861 5 1 5.0 0 40 0 440 770 22 min
#59 789 4 9 0.44 0 187 0 560 25 29 min
#60 579 4 3 1.33 0 185 200 220 0 29 min
#61 4 0 4.0 1 130 0 340 620 19 min
#62 4 8 0.5 0 88 220 0 75 16 min
#63 723 4 7 0.57 0 65 0 540 10 29 min
#64 712 4 13 0.31 0 57 300 120 155 29 min
#65 670 4 8 0.5 1 49 0 500 150 29 min
#66 4 8 0.5 0 49 240 0 65 18 min
#67 788 4 9 0.44 0 47 0 280 0 20 min
#68 923 4 8 0.5 2 45 160 60 75 20 min
#69 589 4 11 0.36 0 40 0 280 175 25 min
#70 1008 3 3 1.0 0 343 460 40 352 29 min
#71 3 2 1.5 0 74 80 60 0 10 min
#72 674 3 13 0.23 2 39 380 80 455 32 min
#73 3 1 3.0 0 25 20 0 0 1 min
#74 532 2 9 0.22 0 229 220 180 55 29 min
#75 530 2 15 0.13 0 92 0 540 1,020 29 min
#76 2 6 0.33 0 65 200 20 0 16 min
#77 2 4 0.5 0 50 0 320 105 18 min
#78 503 2 5 0.4 0 46 0 580 30 29 min
#79 576 2 8 0.25 0 43 0 440 1,375 29 min
#80 801 2 11 0.18 0 35 0 300 0 21 min
#81 2 7 0.29 0 32 0 220 185 15 min
#82 2 6 0.33 1 27 0 320 0 19 min
#83 595 2 8 0.25 0 27 280 140 1,035 32 min
#84 2 1 2.0 2 24 80 20 80 8 min
#85 2 1 2.0 0 18 0 80 5 4 min
#86 2 9 0.22 0 15 0 140 0 11 min
#87 1 6 0.17 0 217 200 0 0 14 min
#88 566 1 4 0.25 0 209 440 40 414 29 min
#89 683 1 10 0.1 0 67 0 480 15 29 min
#90 1 3 0.33 0 54 0 200 0 13 min
#91 1 12 0.08 0 31 200 0 0 19 min
#92 1 2 0.5 0 16 20 120 0 10 min
#93 1 2 0.5 1 13 60 0 25 3 min
#94 1 3 0.33 0 12 100 20 75 12 min
#95 1 2 0.5 0 10 100 0 5 8 min
#96 493 1 5 0.2 0 9 300 40 300 21 min
#97 550 1 2 0.5 0 8 20 100 0 20 min
#98 1 2 0.5 0 8 160 0 0 18 min
#99 633 0 3 0.0 0 857 240 280 75 29 min
#100 993 0 2 0.0 0 650 0 600 5 29 min
#101 670 0 4 0.0 0 90 300 260 1,052 29 min
#102 0 2 0.0 0 74 100 80 20 10 min
#103 0 1 0.0 0 73 20 160 276 1 min
#104 0 4 0.0 0 58 20 100 0 8 min
#105 0 2 0.0 0 53 80 0 75 6 min
#106 0 0 0.0 0 35 20 300 125 0 min
#107 569 0 7 0.0 2 10 320 160 475 29 min
#108 0 2 0.0 3 9 20 140 0 10 min
#109 811 0 9 0.0 0 7 0 560 376 31 min
#110 0 7 0.0 0 5 0 220 50 15 min
#111 0 4 0.0 0 4 0 180 5 13 min
#112 0 0 0.0 0 2 0 160 0 10 min
#113 0 3 0.0 0 2 40 120 5 11 min
#114 0 1 0.0 0 1 0 60 55 4 min
#115 0 3 0.0 0 1 0 140 0 9 min
#116 0 1 0.0 0 0 40 80 75 6 min
#117 0 0 0.0 0 0 0 160 0 9 min
#118 0 0 0.0 0 0 0 80 0 6 min
#119 0 1 0.0 0 0 0 60 0 7 min
#120 0 2 0.0 0 0 60 100 0 14 min
#121 0 0 0.0 0 0 0 0 0 0 min
#122 0 0 0.0 0 0 0 0 0 6 min
#123 0 0 0.0 0 0 0 0 0 0 min
#124 0 0 0.0 0 0 0 0 0 0 min
#125 0 0 0.0 0 0 0 0 0 3 min
#126 0 0 0.0 0 0 0 0 0 2 min
#127 0 0 0.0 0 0 0 0 0 0 min
#128 0 0 0.0 0 0 0 0 0 0 min
#129 0 0 0.0 0 0 0 0 0 1 min
#130 0 0 0.0 0 0 0 0 0 0 min
#131 0 0 0.0 0 0 0 0 0 0 min
#132 0 0 0.0 0 0 0 0 0 0 min
#133 0 0 0.0 0 0 0 0 0 0 min
#134 0 0 0.0 1 0 100 0 75 8 min
#135 0 0 0.0 0 0 0 0 0 12 min
#136 0 0 0.0 0 0 0 0 0 0 min
#137 0 0 0.0 0 0 0 0 0 0 min
#138 0 0 0.0 0 0 0 0 0 3 min
#139 0 0 0.0 0 0 0 140 5 8 min
#140 0 0 0.0 0 0 0 0 0 0 min
#141 0 0 0.0 0 0 0 0 0 1 min
#142 0 0 0.0 0 0 0 0 0 1 min
#143 0 0 0.0 0 0 0 0 0 0 min