carentan_warfare

Carentan Warfare Day

13.10.2025 18:56 | [GER] Fliesentisch-Veteranen #1 | BFTB | Lvl 15+

Result

5:0

Axis wins

Players

201

Total Kills

2,161

Allied Kills

1,033

Axis Kills

1,126

Match Duration

86 min

Kills/Min

25.0

High Match ELO

Allies 1348.0 (all: 840.0)
Ø Match 1328.0
Axis 1308.0 (all: 813.0)

Player Statistics (201)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1102 88 3 29.33 1 1,359 560 960 10 79 min
#2 2210 68 30 2.27 0 833 220 680 373 67 min
#3 1920 67 15 4.47 0 1,285 740 320 140 72 min
#4 1716 62 19 3.26 0 1,543 620 820 1,600 82 min
#5 1705 59 25 2.36 0 1,075 340 420 340 51 min
#6 915 49 12 4.08 4 819 180 1,380 2,968 82 min
#7 988 45 33 1.36 2 1,187 480 760 65 82 min
#8 730 41 23 1.78 0 423 540 840 150 82 min
#9 1105 40 25 1.6 2 782 280 660 335 64 min
#10 952 39 10 3.9 1 995 100 1,320 857 82 min
#11 1199 37 20 1.85 0 335 560 260 1,240 55 min
#12 994 36 19 1.89 4 501 280 1,120 3,596 82 min
#13 1181 35 28 1.25 0 702 540 380 30 60 min
#14 877 35 22 1.59 0 447 420 880 125 82 min
#15 1138 34 22 1.55 0 959 740 560 716 82 min
#16 738 34 15 2.27 0 917 100 1,400 200 82 min
#17 778 34 25 1.36 0 833 560 580 115 82 min
#18 922 34 21 1.62 0 336 280 1,000 1,577 82 min
#19 1025 32 18 1.78 0 559 760 440 100 82 min
#20 821 31 29 1.07 1 498 580 500 60 79 min
#21 598 27 32 0.84 0 299 360 900 185 82 min
#22 1026 25 19 1.32 0 898 520 460 605 63 min
#23 814 25 24 1.04 0 382 700 440 380 80 min
#24 769 25 19 1.32 0 294 460 840 60 82 min
#25 657 25 14 1.79 0 265 240 1,140 50 82 min
#26 1328 24 6 4.0 0 1,256 600 240 50 48 min
#27 743 24 12 2.0 1 274 200 860 75 73 min
#28 680 24 26 0.92 0 218 180 1,020 325 82 min
#29 942 23 30 0.77 0 370 140 1,040 280 81 min
#30 766 23 20 1.15 0 354 240 860 570 82 min
#31 786 23 32 0.72 1 268 760 480 727 80 min
#32 870 22 30 0.73 0 305 280 940 135 82 min
#33 724 22 34 0.65 0 252 480 560 365 68 min
#34 605 22 25 0.88 0 209 320 1,020 10 82 min
#35 805 22 28 0.79 2 190 520 760 2,495 82 min
#36 1060 21 12 1.75 0 1,267 240 1,300 555 82 min
#37 998 20 17 1.18 0 881 300 1,140 240 82 min
#38 885 20 16 1.25 0 583 560 760 2,225 82 min
#39 1542 20 9 2.22 0 334 280 80 85 23 min
#40 770 20 30 0.67 1 263 440 580 755 82 min
#41 663 20 17 1.18 0 204 520 500 156 71 min
#42 972 19 27 0.7 0 282 360 380 85 50 min
#43 913 18 24 0.75 0 300 360 380 295 65 min
#44 1089 18 15 1.2 0 185 200 280 270 35 min
#45 1131 18 5 3.6 0 163 340 80 0 24 min
#46 565 17 35 0.49 1 295 540 420 135 80 min
#47 1150 16 22 0.73 0 317 560 40 195 52 min
#48 1137 16 16 1.0 3 316 440 320 1,835 58 min
#49 656 16 15 1.07 0 294 1,040 180 20 82 min
#50 705 16 22 0.73 0 142 240 540 330 52 min
#51 778 16 20 0.8 1 126 420 240 197 44 min
#52 918 15 7 2.14 0 534 280 60 5 24 min
#53 748 15 28 0.54 1 218 560 460 55 82 min
#54 1213 14 9 1.56 0 773 260 780 155 58 min
#55 714 14 21 0.67 0 290 520 700 190 82 min
#56 669 14 27 0.52 0 200 440 880 550 82 min
#57 837 13 25 0.52 2 299 480 700 120 82 min
#58 961 13 5 2.6 0 158 100 220 110 26 min
#59 664 13 12 1.08 0 140 200 420 35 59 min
#60 1178 13 15 0.87 1 122 300 280 300 38 min
#61 682 12 14 0.86 0 673 1,000 360 1,013 82 min
#62 925 12 35 0.34 0 230 880 360 997 82 min
#63 675 12 15 0.8 0 213 220 540 55 48 min
#64 394 12 5 2.4 0 204 100 1,340 70 79 min
#65 770 12 12 1.0 0 196 380 200 580 44 min
#66 1184 12 9 1.33 0 136 80 400 433 30 min
#67 679 12 15 0.8 0 120 240 660 20 59 min
#68 662 12 12 1.0 0 115 200 1,020 334 74 min
#69 690 11 26 0.42 0 452 540 740 316 82 min
#70 574 11 8 1.38 0 208 0 840 20 47 min
#71 818 11 18 0.61 3 168 400 320 568 50 min
#72 895 11 23 0.48 1 141 580 700 986 84 min
#73 536 11 34 0.32 1 126 620 520 597 80 min
#74 412 10 16 0.62 0 380 120 820 3,205 82 min
#75 636 10 8 1.25 0 287 420 220 20 38 min
#76 769 10 8 1.25 0 195 40 260 0 22 min
#77 528 9 13 0.69 0 299 180 700 30 62 min
#78 850 9 6 1.5 2 99 260 240 345 29 min
#79 1344 8 4 2.0 0 963 140 1,100 50 66 min
#80 617 8 9 0.89 1 310 100 1,320 205 82 min
#81 575 8 12 0.67 0 274 460 120 230 48 min
#82 571 8 24 0.33 0 176 140 1,120 485 82 min
#83 771 8 21 0.38 0 137 380 360 655 53 min
#84 780 8 7 1.14 0 115 480 500 185 55 min
#85 678 8 24 0.33 1 102 120 1,100 591 81 min
#86 475 8 24 0.33 0 100 520 420 35 82 min
#87 8 6 1.33 0 99 180 60 0 18 min
#88 1231 8 8 1.0 0 80 80 180 5 22 min
#89 920 7 2 3.5 0 643 400 200 0 33 min
#90 7 1 7.0 0 368 280 0 5 15 min
#91 531 7 23 0.3 1 273 140 1,040 10 76 min
#92 807 7 15 0.47 0 124 420 300 15 51 min
#93 454 7 26 0.27 1 85 580 680 380 84 min
#94 1244 7 11 0.64 0 85 240 60 10 21 min
#95 644 7 23 0.3 0 73 440 500 40 62 min
#96 7 4 1.75 0 66 0 180 0 12 min
#97 695 7 5 1.4 0 66 200 280 258 28 min
#98 982 6 11 0.55 0 1,569 1,000 20 105 60 min
#99 755 6 15 0.4 0 367 380 200 0 37 min
#100 811 6 9 0.67 0 251 580 120 310 39 min
#101 631 6 11 0.55 0 204 0 700 20 40 min
#102 631 6 31 0.19 0 158 500 280 240 58 min
#103 727 6 9 0.67 0 70 220 220 155 31 min
#104 6 1 6.0 0 65 0 0 0 3 min
#105 646 5 6 0.83 0 1,262 1,080 40 40 60 min
#106 664 5 0 5.0 1 662 160 420 0 36 min
#107 683 5 21 0.24 1 375 120 880 20 70 min
#108 5 3 1.67 1 96 0 200 10 18 min
#109 5 5 1.0 0 50 220 60 310 19 min
#110 527 4 7 0.57 0 91 160 420 10 39 min
#111 801 4 9 0.44 0 51 60 400 60 31 min
#112 4 3 1.33 0 40 0 120 0 7 min
#113 4 2 2.0 0 27 120 0 0 9 min
#114 878 3 7 0.43 0 535 440 60 151 29 min
#115 481 3 26 0.12 0 89 560 780 1,140 82 min
#116 3 2 1.5 0 86 80 80 0 12 min
#117 1003 3 10 0.3 0 71 240 200 10 31 min
#118 544 3 33 0.09 1 49 700 540 1,025 82 min
#119 524 3 13 0.23 0 41 700 340 10 62 min
#120 728 3 15 0.2 0 35 240 280 435 36 min
#121 661 3 3 1.0 0 27 140 220 50 20 min
#122 3 3 1.0 0 27 0 60 0 6 min
#123 3 1 3.0 0 27 60 220 0 17 min
#124 3 5 0.6 0 26 40 160 110 17 min
#125 824 2 3 0.67 1 1,292 560 1,080 140 82 min
#126 820 2 16 0.12 0 1,126 900 560 931 82 min
#127 643 2 5 0.4 0 214 100 1,440 115 82 min
#128 2 2 1.0 0 139 20 220 15 18 min
#129 2 8 0.25 0 22 160 80 5 18 min
#130 2 1 2.0 0 21 0 100 5 7 min
#131 499 2 9 0.22 0 20 0 600 0 41 min
#132 2 5 0.4 0 20 120 20 0 18 min
#133 2 9 0.22 0 19 0 120 0 12 min
#134 2 7 0.29 0 19 0 140 150 15 min
#135 2 0 2.0 1 14 60 0 0 5 min
#136 1 5 0.2 0 30 0 140 0 13 min
#137 503 1 8 0.12 0 24 120 200 10 22 min
#138 616 1 10 0.1 0 15 200 180 0 26 min
#139 1 5 0.2 0 12 0 60 0 6 min
#140 532 1 17 0.06 0 11 120 520 160 49 min
#141 625 1 9 0.11 0 10 100 140 95 21 min
#142 1 2 0.5 0 9 40 60 0 7 min
#143 1 2 0.5 0 7 20 100 20 12 min
#144 1 2 0.5 0 6 40 160 5 14 min
#145 1 3 0.33 0 6 0 20 0 11 min
#146 671 0 4 0.0 0 247 120 740 55 48 min
#147 0 4 0.0 0 50 0 60 0 5 min
#148 0 4 0.0 0 11 0 260 35 17 min
#149 0 0 0.0 0 10 0 80 30 5 min
#150 0 2 0.0 0 9 0 80 65 24 min
#151 558 0 5 0.0 1 5 20 240 100 25 min
#152 0 3 0.0 0 3 0 40 5 6 min
#153 0 1 0.0 0 1 0 0 0 1 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 0 0.0 0 0 0 0 0 2 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 0 0.0 0 0 0 280 0 14 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 0 0 1 min
#161 0 0 0.0 0 0 0 0 0 1 min
#162 0 0 0.0 0 0 0 40 0 3 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 0 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 0 0.0 0 0 0 0 0 1 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 0 20 0 4 min
#171 0 0 0.0 0 0 0 0 0 0 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 3 0.0 0 0 80 40 40 13 min
#178 0 0 0.0 0 0 0 0 0 3 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 0 0 1 min
#182 0 0 0.0 0 0 0 0 0 1 min
#183 0 0 0.0 0 0 0 0 0 1 min
#184 0 0 0.0 0 0 0 0 0 1 min
#185 0 0 0.0 0 0 0 0 0 1 min
#186 0 0 0.0 0 0 0 0 0 8 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 0 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 0 0.0 0 0 0 0 0 3 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 0 0 0 0 0 0 min
#196 0 0 0.0 0 0 0 0 0 1 min
#197 0 0 0.0 0 0 0 0 0 12 min
#198 0 3 0.0 0 0 20 80 15 14 min
#199 0 0 0.0 0 0 0 20 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 1 min