carentan_offensive_ger

Carentan Offensive Day GER attack

31.05.2026 19:54 | Glow's Battlegrounds :: US Central

Result

4:1

Axis wins

Players

172

Total Kills

2,309

Allied Kills

1,242

Axis Kills

1,067

Match Duration

82 min

Kills/Min

28.3

Normal Match ELO

Allies 1220.0 (all: 832.0)
Ø Match 1182.0
Axis 1144.0 (all: 838.0)

Player Statistics (172)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1150 89 6 14.83 2 1,183 380 760 4,889 64 min
#2 782 58 31 1.87 2 565 0 1,040 30 75 min
#3 1100 51 34 1.5 0 760 720 380 160 75 min
#4 1151 50 27 1.85 1 484 20 1,180 360 76 min
#5 975 47 12 3.92 1 978 100 1,020 20 76 min
#6 785 47 31 1.52 1 666 820 280 15 71 min
#7 1259 47 26 1.81 1 446 120 620 15 52 min
#8 1321 46 16 2.88 0 481 180 600 840 57 min
#9 844 46 23 2.0 0 477 80 980 165 75 min
#10 746 45 25 1.8 0 448 360 660 145 63 min
#11 874 45 22 2.05 1 382 20 1,060 505 66 min
#12 1009 44 26 1.69 0 594 500 360 2,300 63 min
#13 1078 42 10 4.2 1 1,066 620 640 20 71 min
#14 1686 41 26 1.58 0 701 60 780 907 55 min
#15 1172 41 35 1.17 0 595 100 940 540 69 min
#16 1117 40 33 1.21 0 890 660 340 405 76 min
#17 849 39 27 1.44 0 722 640 280 985 64 min
#18 1186 39 33 1.18 1 400 100 820 1,250 72 min
#19 1147 39 17 2.29 0 382 780 400 170 76 min
#20 1120 38 24 1.58 0 396 440 460 565 66 min
#21 1097 38 20 1.9 1 322 160 1,040 1,989 78 min
#22 1277 36 35 1.03 2 585 560 300 1,170 68 min
#23 921 36 17 2.12 0 520 680 540 2,255 77 min
#24 1090 36 28 1.29 1 337 180 580 315 61 min
#25 1336 35 20 1.75 2 1,226 860 160 0 67 min
#26 1125 35 30 1.17 1 817 580 540 1,207 71 min
#27 944 35 29 1.21 0 562 1,020 260 870 79 min
#28 870 35 22 1.59 1 324 60 1,040 582 68 min
#29 1060 33 37 0.89 1 671 800 300 380 78 min
#30 977 32 30 1.07 1 901 260 880 1,455 79 min
#31 683 32 25 1.28 0 325 160 960 250 72 min
#32 841 30 23 1.3 0 918 960 220 55 79 min
#33 862 28 37 0.76 0 347 80 880 160 70 min
#34 815 26 10 2.6 0 419 160 1,080 205 69 min
#35 942 25 21 1.19 0 416 120 800 50 59 min
#36 1019 25 20 1.25 1 271 0 660 145 45 min
#37 854 24 21 1.14 0 426 20 1,000 1,773 67 min
#38 703 24 9 2.67 4 411 280 900 350 68 min
#39 932 23 14 1.64 1 223 80 320 5 32 min
#40 654 21 12 1.75 0 1,104 1,120 40 70 69 min
#41 690 21 31 0.68 0 212 720 320 895 72 min
#42 911 21 29 0.72 0 200 600 300 75 66 min
#43 852 20 10 2.0 0 612 280 980 2,914 76 min
#44 771 20 24 0.83 1 315 680 400 190 67 min
#45 802 19 24 0.79 0 313 140 980 840 71 min
#46 720 19 20 0.95 2 253 20 700 1,045 53 min
#47 855 19 22 0.86 0 191 780 380 845 75 min
#48 735 18 25 0.72 2 502 600 180 20 58 min
#49 838 18 13 1.38 1 318 160 540 300 44 min
#50 790 18 9 2.0 0 153 40 820 95 50 min
#51 739 17 22 0.77 1 231 540 360 5 67 min
#52 1002 17 7 2.43 1 149 0 520 150 33 min
#53 1200 16 13 1.23 0 1,835 1,160 140 745 71 min
#54 838 16 14 1.14 0 461 0 400 135 35 min
#55 603 16 24 0.67 1 240 20 740 155 61 min
#56 1013 16 18 0.89 0 193 100 440 265 38 min
#57 610 16 32 0.5 1 175 640 180 30 56 min
#58 841 15 20 0.75 0 234 620 380 100 62 min
#59 1005 14 19 0.74 2 382 440 720 85 77 min
#60 801 14 34 0.41 0 208 680 400 325 71 min
#61 649 14 24 0.58 0 139 560 320 1,305 61 min
#62 591 13 38 0.34 1 246 640 420 795 75 min
#63 733 13 13 1.0 0 166 140 420 70 37 min
#64 627 13 26 0.5 0 145 620 460 1,046 67 min
#65 785 13 7 1.86 0 141 0 500 5 30 min
#66 1026 12 16 0.75 0 591 480 560 502 68 min
#67 637 12 35 0.34 0 416 480 480 155 70 min
#68 500 12 23 0.52 0 376 200 940 170 70 min
#69 863 12 14 0.86 0 91 80 720 990 52 min
#70 1077 11 21 0.52 2 196 440 320 1,050 57 min
#71 829 11 28 0.39 0 147 20 960 798 67 min
#72 534 11 29 0.38 3 112 600 300 105 70 min
#73 901 11 12 0.92 0 106 200 160 85 36 min
#74 588 11 6 1.83 0 103 0 560 15 45 min
#75 856 10 26 0.38 0 292 600 400 1,175 69 min
#76 848 10 14 0.71 1 155 0 400 5 28 min
#77 651 10 17 0.59 0 140 480 360 435 58 min
#78 779 10 16 0.62 2 134 320 200 290 42 min
#79 10 4 2.5 0 98 0 300 10 18 min
#80 584 9 24 0.38 0 106 120 620 275 62 min
#81 819 9 26 0.35 1 100 500 400 355 65 min
#82 467 8 22 0.36 0 618 120 1,140 414 80 min
#83 765 8 34 0.24 0 190 680 500 390 77 min
#84 742 8 12 0.67 0 100 60 480 160 36 min
#85 8 12 0.67 0 98 0 240 150 17 min
#86 737 7 32 0.22 0 120 660 320 1,525 72 min
#87 7 1 7.0 0 103 40 20 0 12 min
#88 7 6 1.17 0 63 0 200 20 17 min
#89 7 3 2.33 3 63 0 220 838 14 min
#90 1016 6 9 0.67 0 225 160 140 10 21 min
#91 627 6 10 0.6 0 85 180 520 110 47 min
#92 631 5 13 0.38 0 85 240 260 185 33 min
#93 422 5 22 0.23 1 83 140 880 280 70 min
#94 668 5 6 0.83 1 49 0 360 30 32 min
#95 594 4 17 0.24 0 68 280 280 100 40 min
#96 566 4 9 0.44 0 62 200 180 5 28 min
#97 1179 4 10 0.4 0 56 140 280 95 28 min
#98 647 4 36 0.11 0 56 580 560 1,182 80 min
#99 820 4 11 0.36 2 52 380 100 150 33 min
#100 786 4 27 0.15 0 47 540 300 2,130 61 min
#101 516 4 15 0.27 0 47 0 600 80 47 min
#102 556 4 15 0.27 0 47 0 600 235 40 min
#103 4 3 1.33 0 46 0 160 75 13 min
#104 862 4 2 2.0 0 43 140 200 140 20 min
#105 758 4 6 0.67 0 34 120 140 100 20 min
#106 627 3 12 0.25 0 142 400 180 150 49 min
#107 394 3 19 0.16 0 133 280 840 245 73 min
#108 612 3 2 1.5 0 86 60 280 0 21 min
#109 3 12 0.25 0 54 0 240 5 20 min
#110 407 3 27 0.11 1 49 500 480 220 70 min
#111 618 3 12 0.25 0 45 0 520 20 36 min
#112 626 3 7 0.43 0 42 220 180 275 26 min
#113 702 3 8 0.38 0 31 120 520 0 46 min
#114 3 4 0.75 0 26 120 80 0 14 min
#115 2 2 1.0 0 27 0 120 0 9 min
#116 517 2 10 0.2 0 23 200 60 75 21 min
#117 662 2 6 0.33 0 17 0 260 0 23 min
#118 2 7 0.29 0 17 160 60 150 17 min
#119 2 1 2.0 0 17 0 220 0 15 min
#120 2 5 0.4 0 11 120 160 0 19 min
#121 1042 1 6 0.17 0 678 100 340 662 25 min
#122 705 1 4 0.25 0 22 0 400 705 28 min
#123 731 1 13 0.08 0 19 160 200 0 37 min
#124 1 3 0.33 0 12 40 160 0 14 min
#125 1 2 0.5 0 9 0 60 35 11 min
#126 1 2 0.5 0 8 0 40 15 3 min
#127 848 1 10 0.1 0 8 0 1,040 2,732 76 min
#128 1 2 0.5 0 7 0 120 0 9 min
#129 1 4 0.25 0 6 0 140 0 11 min
#130 0 0 0.0 0 80 100 60 0 11 min
#131 0 3 0.0 0 11 20 160 0 17 min
#132 0 0 0.0 0 9 0 20 0 3 min
#133 0 2 0.0 0 6 120 60 75 13 min
#134 0 2 0.0 0 5 40 80 0 10 min
#135 0 4 0.0 0 4 0 80 0 6 min
#136 0 2 0.0 0 3 0 200 760 15 min
#137 0 3 0.0 0 2 0 40 5 4 min
#138 0 2 0.0 0 1 0 40 0 5 min
#139 0 0 0.0 0 1 0 180 0 19 min
#140 0 0 0.0 0 0 0 0 0 1 min
#141 0 1 0.0 0 0 0 20 5 2 min
#142 0 0 0.0 0 0 0 40 0 3 min
#143 0 0 0.0 0 0 0 60 0 5 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 120 0 14 min
#147 0 0 0.0 0 0 0 0 0 1 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 0 0 1 min
#150 0 1 0.0 0 0 20 0 0 6 min
#151 0 0 0.0 0 0 0 0 0 2 min
#152 0 0 0.0 0 0 0 0 0 0 min
#153 0 0 0.0 0 0 0 0 0 1 min
#154 0 0 0.0 0 0 0 60 0 5 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 0 0.0 0 0 0 0 0 1 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 1 0.0 0 0 100 0 0 6 min
#159 0 1 0.0 0 0 0 20 0 4 min
#160 0 0 0.0 0 0 0 0 0 1 min
#161 0 0 0.0 0 0 0 60 160 4 min
#162 0 1 0.0 0 0 0 0 0 11 min
#163 0 0 0.0 0 0 0 0 0 34 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 0 0 0 0 0 1 min
#166 0 0 0.0 0 0 0 20 0 4 min
#167 0 0 0.0 0 0 0 0 0 2 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 0 0 0 3 min
#171 0 0 0.0 0 0 0 80 0 3 min
#172 0 0 0.0 0 0 0 0 0 1 min