carentan_warfare

Carentan Warfare Day

09.05.2026 13:47 | GERMAN_BATTLEGROUND_5

Result

4:1

Axis wins

Players

209

Total Kills

1,356

Allied Kills

701

Axis Kills

655

Match Duration

64 min

Kills/Min

21.2

High Match ELO

Allies 1185.0 (all: 782.0)
Ø Match 1245.0
Axis 1305.0 (all: 781.0)
Imbalanced

Player Statistics (209)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1149 67 6 11.17 0 2,030 760 1,420 100 59 min
#2 819 42 14 3.0 0 527 900 200 20 59 min
#3 1150 39 9 4.33 0 355 360 620 40 57 min
#4 1264 36 22 1.64 1 564 560 420 926 61 min
#5 922 36 8 4.5 0 415 200 900 126 59 min
#6 1263 35 13 2.69 1 806 60 1,020 1,145 59 min
#7 842 35 23 1.52 1 435 540 320 110 56 min
#8 803 30 8 3.75 0 821 280 840 80 43 min
#9 812 28 2 14.0 2 1,075 40 1,180 120 62 min
#10 1740 27 8 3.38 0 376 160 180 195 23 min
#11 1041 27 28 0.96 0 220 440 380 75 59 min
#12 1167 26 14 1.86 0 377 120 720 25 51 min
#13 966 25 18 1.39 1 404 240 660 350 59 min
#14 863 24 2 12.0 0 1,082 40 1,160 50 59 min
#15 1228 24 18 1.33 0 753 920 160 515 59 min
#16 21 8 2.62 0 252 20 280 40 20 min
#17 1238 20 5 4.0 0 451 60 460 10 34 min
#18 1103 20 16 1.25 1 288 380 280 1,084 47 min
#19 960 20 18 1.11 0 181 460 480 545 59 min
#20 1027 20 12 1.67 0 169 560 100 160 42 min
#21 650 19 4 4.75 6 232 0 1,120 393 59 min
#22 972 19 5 3.8 0 206 60 580 100 35 min
#23 959 18 24 0.75 1 491 560 300 1,865 58 min
#24 764 18 7 2.57 0 149 140 340 0 38 min
#25 586 18 12 1.5 1 148 100 700 0 52 min
#26 688 17 7 2.43 1 511 400 700 10 59 min
#27 734 17 22 0.77 0 259 560 380 90 59 min
#28 656 17 13 1.31 1 204 560 80 75 40 min
#29 1335 17 10 1.7 0 158 100 100 190 21 min
#30 600 17 6 2.83 1 149 480 580 55 59 min
#31 705 16 20 0.8 2 266 180 460 75 46 min
#32 646 16 7 2.29 0 199 360 440 0 54 min
#33 700 15 11 1.36 0 293 140 920 100 62 min
#34 733 14 13 1.08 0 351 520 580 250 59 min
#35 903 14 12 1.17 0 334 380 360 30 52 min
#36 938 14 13 1.08 0 151 320 320 20 41 min
#37 907 14 10 1.4 0 138 200 340 0 37 min
#38 507 13 18 0.72 1 388 260 460 40 46 min
#39 739 13 18 0.72 0 124 440 500 35 59 min
#40 623 13 13 1.0 1 123 140 960 684 59 min
#41 895 13 14 0.93 0 109 80 580 25 39 min
#42 644 11 14 0.79 0 442 700 1,020 365 59 min
#43 1231 11 7 1.57 0 95 140 340 35 33 min
#44 731 11 11 1.0 0 80 420 280 15 42 min
#45 665 10 6 1.67 0 833 480 280 35 46 min
#46 895 10 14 0.71 0 258 300 620 45 58 min
#47 810 10 21 0.48 0 247 440 400 430 57 min
#48 873 10 11 0.91 1 243 140 960 175 61 min
#49 584 10 17 0.59 0 114 180 460 20 48 min
#50 904 10 8 1.25 0 111 140 580 0 41 min
#51 602 10 11 0.91 0 109 520 60 5 34 min
#52 690 10 16 0.62 0 95 420 180 0 43 min
#53 634 9 12 0.75 1 397 40 900 176 59 min
#54 862 9 12 0.75 0 178 380 80 45 33 min
#55 606 9 8 1.12 0 172 20 1,060 25 59 min
#56 685 9 15 0.6 0 92 500 440 0 60 min
#57 576 9 11 0.82 0 87 180 520 75 45 min
#58 9 4 2.25 0 64 0 260 0 16 min
#59 930 8 3 2.67 0 614 280 300 105 31 min
#60 601 8 17 0.47 0 253 460 60 0 36 min
#61 893 8 11 0.73 1 179 200 600 3,102 52 min
#62 863 8 20 0.4 1 164 20 880 2,284 59 min
#63 597 8 6 1.33 0 116 60 440 430 39 min
#64 8 3 2.67 0 61 20 180 0 18 min
#65 701 7 19 0.37 0 78 440 460 535 57 min
#66 634 7 15 0.47 0 77 80 840 120 59 min
#67 741 7 19 0.37 0 73 340 300 175 48 min
#68 495 7 17 0.41 0 60 140 400 15 50 min
#69 452 7 19 0.37 1 58 320 320 5 46 min
#70 7 5 1.4 0 48 0 240 10 15 min
#71 608 6 18 0.33 0 123 320 700 55 62 min
#72 782 6 6 1.0 0 66 380 160 130 32 min
#73 533 6 18 0.33 0 56 280 640 410 59 min
#74 6 2 3.0 0 50 140 20 30 12 min
#75 495 5 17 0.29 0 53 60 960 180 60 min
#76 642 5 23 0.22 0 52 360 480 845 57 min
#77 614 5 11 0.45 0 51 240 180 10 45 min
#78 976 5 7 0.71 0 47 80 260 0 24 min
#79 559 5 13 0.38 0 39 400 560 260 59 min
#80 548 4 7 0.57 1 1,072 440 640 430 61 min
#81 547 4 3 1.33 3 257 20 980 2,245 59 min
#82 867 4 2 2.0 0 206 360 0 50 22 min
#83 523 4 12 0.33 0 188 400 660 783 59 min
#84 551 4 7 0.57 1 118 220 380 40 36 min
#85 4 8 0.5 0 96 140 160 0 20 min
#86 4 7 0.57 0 76 0 280 0 18 min
#87 808 4 8 0.5 1 45 240 80 0 25 min
#88 620 3 10 0.3 0 166 560 980 56 39 min
#89 871 3 2 1.5 0 77 260 140 1,144 32 min
#90 705 3 13 0.23 0 46 20 720 105 57 min
#91 3 4 0.75 0 46 200 100 0 20 min
#92 762 3 11 0.27 0 44 320 340 60 51 min
#93 537 3 26 0.12 0 41 120 660 90 56 min
#94 3 2 1.5 0 41 20 120 10 10 min
#95 799 3 7 0.43 0 40 200 300 326 34 min
#96 3 5 0.6 0 30 100 80 5 13 min
#97 3 4 0.75 0 30 140 160 100 18 min
#98 3 4 0.75 0 25 20 220 75 14 min
#99 505 3 6 0.5 0 24 120 140 10 23 min
#100 671 3 2 1.5 0 22 0 320 0 21 min
#101 508 2 9 0.22 1 177 280 280 214 57 min
#102 550 2 15 0.13 0 146 340 640 120 59 min
#103 2 2 1.0 0 114 20 60 5 7 min
#104 2 3 0.67 0 70 0 80 35 6 min
#105 2 0 2.0 0 66 180 80 0 13 min
#106 2 8 0.25 0 28 280 20 145 18 min
#107 728 2 6 0.33 0 22 0 340 50 23 min
#108 737 2 2 1.0 0 20 100 140 805 20 min
#109 786 2 5 0.4 0 19 240 120 0 25 min
#110 2 3 0.67 1 19 180 60 60 14 min
#111 2 7 0.29 2 16 120 20 0 18 min
#112 2 1 2.0 0 15 20 80 0 7 min
#113 472 1 7 0.14 0 468 460 620 40 59 min
#114 732 1 16 0.06 1 369 300 780 1,390 59 min
#115 956 1 10 0.1 0 65 20 320 115 27 min
#116 1 2 0.5 0 60 20 40 0 7 min
#117 558 1 15 0.07 0 26 320 420 150 47 min
#118 601 1 5 0.2 0 25 40 460 40 35 min
#119 742 1 3 0.33 1 20 120 320 807 43 min
#120 588 1 4 0.25 0 20 40 200 0 23 min
#121 1 4 0.25 0 19 0 180 0 16 min
#122 1 2 0.5 0 19 140 60 0 13 min
#123 1 2 0.5 0 18 0 60 0 4 min
#124 1 2 0.5 0 14 120 140 15 17 min
#125 423 1 5 0.2 0 13 0 440 0 26 min
#126 1 3 0.33 0 12 0 180 0 13 min
#127 1 3 0.33 0 12 0 200 0 14 min
#128 1 1 1.0 0 11 0 80 0 8 min
#129 510 1 6 0.17 0 10 180 100 150 21 min
#130 1 2 0.5 0 9 0 400 0 20 min
#131 1 4 0.25 0 9 0 120 0 10 min
#132 1 1 1.0 0 7 40 140 0 12 min
#133 769 1 3 0.33 0 6 260 140 0 26 min
#134 689 0 5 0.0 0 1,197 440 660 150 59 min
#135 625 0 2 0.0 0 987 40 1,180 420 59 min
#136 474 0 8 0.0 2 463 420 680 95 59 min
#137 0 0 0.0 0 280 200 460 75 0 min
#138 0 7 0.0 0 11 100 200 10 20 min
#139 693 0 3 0.0 0 10 220 100 5 21 min
#140 0 1 0.0 0 7 0 120 0 9 min
#141 633 0 9 0.0 1 7 60 280 77 27 min
#142 0 2 0.0 0 6 0 20 0 3 min
#143 0 5 0.0 0 4 100 100 5 13 min
#144 0 2 0.0 0 4 0 60 0 3 min
#145 0 1 0.0 0 4 0 280 55 16 min
#146 0 4 0.0 0 2 0 100 0 7 min
#147 0 1 0.0 0 2 80 20 150 6 min
#148 0 1 0.0 0 1 20 0 0 1 min
#149 0 3 0.0 0 1 0 240 90 14 min
#150 0 1 0.0 0 1 0 100 10 8 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 40 0 2 min
#153 0 0 0.0 0 0 0 100 32 5 min
#154 0 1 0.0 0 0 60 0 0 8 min
#155 0 0 0.0 0 0 0 0 0 1 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 40 0 3 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 2 0.0 0 0 0 160 75 11 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 3 0.0 0 0 120 20 0 11 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 0 0 0 80 10 0 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 0 0.0 0 0 0 0 0 2 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 1 0.0 0 0 100 20 25 9 min
#171 0 1 0.0 0 0 0 60 0 5 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 1 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 0 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 200 141 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 3 min
#184 0 0 0.0 0 0 0 20 0 3 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 0 0.0 0 0 0 0 0 3 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 1 0.0 0 0 0 100 0 7 min
#192 0 0 0.0 0 0 0 0 0 0 min
#193 0 0 0.0 0 0 0 0 0 1 min
#194 0 0 0.0 0 0 0 0 0 0 min
#195 0 0 0.0 1 0 20 60 0 7 min
#196 0 0 0.0 0 0 0 0 0 4 min
#197 0 0 0.0 0 0 0 0 0 0 min
#198 0 2 0.0 0 0 100 0 0 7 min
#199 0 0 0.0 0 0 0 0 0 0 min
#200 0 0 0.0 0 0 0 0 0 0 min
#201 0 0 0.0 0 0 0 0 0 0 min
#202 0 0 0.0 0 0 40 0 0 2 min
#203 0 0 0.0 0 0 0 0 0 1 min
#204 0 0 0.0 0 0 0 0 0 0 min
#205 0 1 0.0 0 0 0 80 20 4 min
#206 0 0 0.0 0 0 0 0 0 0 min
#207 0 0 0.0 0 0 0 0 0 0 min
#208 0 0 0.0 0 0 0 0 0 59 min
#209 0 0 0.0 0 0 0 0 0 0 min