carentan_warfare

Carentan Warfare Day

29.11.2025 16:30 | [GER] Fliesentisch-Veteranen #1 | BFTB | Lvl 15+

Result

5:0

Axis wins

Players

212

Total Kills

758

Allied Kills

386

Axis Kills

372

Match Duration

45 min

Kills/Min

16.9

High Match ELO

Allies 1421.0 (all: 863.0)
Ø Match 1323.0
Axis 1225.0 (all: 814.0)
Imbalanced

Player Statistics (212)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 2561 55 18 3.06 0 875 440 160 200 40 min
#2 2047 41 13 3.15 0 531 440 120 208 35 min
#3 1257 33 10 3.3 0 440 60 560 130 40 min
#4 1104 24 12 2.0 0 245 260 220 30 40 min
#5 1075 21 12 1.75 0 623 320 160 175 33 min
#6 1066 20 5 4.0 0 223 180 500 20 40 min
#7 1573 19 10 1.9 0 482 60 440 145 35 min
#8 862 19 11 1.73 0 434 180 440 1,135 40 min
#9 1386 18 5 3.6 0 293 0 540 10 39 min
#10 1399 17 12 1.42 0 395 140 340 130 32 min
#11 842 15 12 1.25 0 139 280 280 450 40 min
#12 14 2 7.0 0 335 80 60 85 10 min
#13 1499 14 10 1.4 0 132 120 300 105 30 min
#14 653 14 15 0.93 0 108 340 280 0 41 min
#15 1049 13 6 2.17 0 239 340 380 40 40 min
#16 553 13 7 1.86 0 127 140 520 20 43 min
#17 734 12 9 1.33 0 173 0 480 135 31 min
#18 837 11 13 0.85 0 157 240 220 5 41 min
#19 839 11 6 1.83 1 130 60 640 1,629 40 min
#20 1233 11 9 1.22 0 81 100 140 10 18 min
#21 1230 10 5 2.0 0 410 240 20 135 18 min
#22 759 10 6 1.67 0 231 340 320 40 40 min
#23 780 10 15 0.67 0 229 140 340 332 35 min
#24 1030 10 10 1.0 0 98 460 120 0 40 min
#25 619 9 5 1.8 0 200 560 820 295 41 min
#26 692 9 11 0.82 0 96 320 280 95 40 min
#27 930 8 11 0.73 0 235 400 140 587 34 min
#28 501 8 0 8.0 5 200 0 500 5 27 min
#29 785 8 2 4.0 0 187 240 580 15 40 min
#30 1064 8 8 1.0 0 142 120 240 130 26 min
#31 1036 8 7 1.14 0 128 0 340 25 25 min
#32 1003 8 12 0.67 0 91 180 140 85 33 min
#33 704 8 8 1.0 0 85 260 320 30 40 min
#34 744 8 7 1.14 0 84 320 160 0 33 min
#35 682 8 4 2.0 0 74 20 320 70 21 min
#36 604 8 11 0.73 0 66 360 180 0 37 min
#37 918 7 5 1.4 0 701 500 240 506 40 min
#38 7 4 1.75 0 63 140 0 150 11 min
#39 749 7 10 0.7 0 57 200 60 130 22 min
#40 1033 6 8 0.75 0 212 20 160 10 18 min
#41 6 4 1.5 1 202 120 40 0 35 min
#42 602 6 9 0.67 1 152 80 500 100 40 min
#43 995 6 5 1.2 0 150 40 480 641 32 min
#44 6 2 3.0 0 113 20 180 0 14 min
#45 578 6 8 0.75 2 108 340 360 1,403 40 min
#46 424 6 9 0.67 0 95 40 520 155 40 min
#47 741 6 8 0.75 0 66 260 380 160 40 min
#48 6 5 1.2 0 54 20 160 40 14 min
#49 714 6 8 0.75 3 47 180 280 382 28 min
#50 729 5 6 0.83 0 214 280 260 181 32 min
#51 1199 5 4 1.25 0 147 80 180 5 21 min
#52 1627 5 3 1.67 0 141 40 360 1,088 30 min
#53 910 5 3 1.67 1 92 180 540 200 40 min
#54 1288 5 6 0.83 0 70 0 220 0 15 min
#55 623 5 6 0.83 0 45 240 0 25 17 min
#56 744 5 7 0.71 3 42 180 80 878 19 min
#57 590 5 13 0.38 0 42 440 80 5 40 min
#58 1038 4 7 0.57 0 182 140 300 5 27 min
#59 917 4 2 2.0 0 87 140 540 5 40 min
#60 490 4 8 0.5 1 41 120 200 5 35 min
#61 569 3 7 0.43 0 232 180 200 85 27 min
#62 657 3 7 0.43 0 221 320 360 160 40 min
#63 699 3 10 0.3 0 127 420 260 250 43 min
#64 3 6 0.5 0 48 20 140 75 12 min
#65 459 3 6 0.5 0 34 120 440 140 35 min
#66 544 3 14 0.21 0 31 100 520 0 41 min
#67 3 1 3.0 0 30 0 80 0 7 min
#68 3 2 1.5 0 28 40 80 5 8 min
#69 3 2 1.5 0 26 20 0 0 5 min
#70 3 8 0.38 0 26 40 100 0 14 min
#71 3 3 1.0 0 26 0 100 0 8 min
#72 3 2 1.5 0 24 40 140 0 12 min
#73 545 3 7 0.43 0 21 40 420 15 28 min
#74 753 2 2 1.0 0 202 0 460 110 28 min
#75 711 2 1 2.0 0 179 0 480 55 28 min
#76 2 5 0.4 0 70 160 0 15 14 min
#77 2 1 2.0 0 65 60 100 5 9 min
#78 542 2 11 0.18 0 33 120 220 5 25 min
#79 569 2 9 0.22 1 28 100 380 70 32 min
#80 2 3 0.67 0 24 0 120 0 10 min
#81 398 2 14 0.14 0 24 80 200 5 25 min
#82 2 3 0.67 0 22 80 60 0 11 min
#83 386 2 6 0.33 0 22 160 440 0 36 min
#84 2 1 2.0 0 20 120 60 15 14 min
#85 515 2 7 0.29 0 20 20 340 0 26 min
#86 2 1 2.0 0 15 0 100 0 7 min
#87 2 5 0.4 0 14 160 40 0 15 min
#88 2 8 0.25 0 9 80 80 145 12 min
#89 776 1 3 0.33 0 629 280 60 35 20 min
#90 504 1 1 1.0 0 221 840 720 425 40 min
#91 621 1 10 0.1 0 120 280 360 465 40 min
#92 849 1 3 0.33 1 97 160 560 40 40 min
#93 589 1 6 0.17 0 38 600 160 615 40 min
#94 1 2 0.5 2 28 40 100 0 9 min
#95 495 1 6 0.17 0 20 80 300 5 25 min
#96 1 3 0.33 0 15 100 0 450 0 min
#97 768 1 5 0.2 0 13 40 160 5 16 min
#98 1163 1 6 0.17 0 11 60 220 424 18 min
#99 1 2 0.5 0 11 0 120 112 8 min
#100 568 1 4 0.25 2 11 180 320 5 32 min
#101 1 4 0.25 0 10 0 60 75 7 min
#102 1 2 0.5 0 10 40 20 35 8 min
#103 537 1 8 0.12 0 9 40 240 0 24 min
#104 1 3 0.33 0 8 20 120 60 10 min
#105 1 0 1.0 0 7 0 20 0 2 min
#106 1 3 0.33 1 7 0 80 15 13 min
#107 1 1 1.0 0 7 20 0 0 44 min
#108 456 1 4 0.25 0 6 120 280 120 28 min
#109 1 1 1.0 0 5 0 80 0 7 min
#110 1 5 0.2 0 4 80 40 0 11 min
#111 1 4 0.25 0 4 80 0 5 7 min
#112 0 0 0.0 0 340 180 1,040 1,739 0 min
#113 512 0 2 0.0 0 179 240 580 0 40 min
#114 0 1 0.0 0 65 60 100 20 9 min
#115 0 1 0.0 0 65 60 100 0 9 min
#116 568 0 4 0.0 0 51 160 180 0 18 min
#117 614 0 6 0.0 0 22 200 60 270 32 min
#118 0 2 0.0 0 20 0 180 0 13 min
#119 0 2 0.0 0 6 80 0 150 8 min
#120 0 1 0.0 0 5 0 100 5 9 min
#121 0 2 0.0 0 3 0 60 0 6 min
#122 0 1 0.0 0 3 0 40 0 7 min
#123 0 6 0.0 0 3 100 0 0 9 min
#124 465 0 6 0.0 0 2 40 600 170 40 min
#125 0 2 0.0 1 1 0 200 56 14 min
#126 0 3 0.0 1 1 0 80 20 8 min
#127 0 0 0.0 0 0 0 0 0 1 min
#128 0 0 0.0 0 0 0 0 0 0 min
#129 0 0 0.0 0 0 0 0 0 0 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
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#133 0 0 0.0 0 0 0 0 0 1 min
#134 0 0 0.0 0 0 0 0 0 0 min
#135 0 0 0.0 0 0 0 0 0 0 min
#136 0 1 0.0 0 0 40 80 0 11 min
#137 0 0 0.0 0 0 0 40 0 4 min
#138 0 0 0.0 0 0 0 0 0 1 min
#139 0 0 0.0 0 0 0 0 0 0 min
#140 0 0 0.0 0 0 0 0 0 1 min
#141 0 0 0.0 0 0 0 0 0 0 min
#142 0 1 0.0 0 0 0 80 25 7 min
#143 0 0 0.0 0 0 0 0 0 0 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 0 0 0 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 0 0 0 min
#153 0 0 0.0 0 0 0 0 0 0 min
#154 0 0 0.0 0 0 60 0 0 5 min
#155 0 0 0.0 0 0 0 0 0 3 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 0 0 16 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 0 0.0 0 0 0 0 0 0 min
#162 0 2 0.0 0 0 0 160 0 8 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 1 0.0 0 0 40 0 0 5 min
#166 0 0 0.0 0 0 0 0 0 2 min
#167 0 0 0.0 0 0 0 0 0 6 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 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 0 0 0 min
#172 0 0 0.0 0 0 0 0 0 2 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 1 0.0 0 0 0 100 0 9 min
#176 0 0 0.0 0 0 0 0 0 1 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 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 3 min
#182 0 0 0.0 0 0 0 60 0 4 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 60 150 6 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 0 0.0 0 0 0 0 0 0 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 1 0.0 0 0 60 120 670 14 min
#190 0 0 0.0 0 0 0 0 0 4 min
#191 0 1 0.0 0 0 20 0 0 5 min
#192 0 0 0.0 0 0 0 0 0 1 min
#193 0 0 0.0 0 0 0 0 0 40 min
#194 0 0 0.0 0 0 0 0 0 1 min
#195 0 0 0.0 0 0 0 0 0 0 min
#196 0 0 0.0 0 0 0 40 0 4 min
#197 0 0 0.0 0 0 0 0 0 0 min
#198 0 0 0.0 0 0 0 0 0 0 min
#199 0 0 0.0 0 0 0 0 0 40 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 0 0 0 0 min
#203 0 0 0.0 0 0 0 0 0 0 min
#204 0 0 0.0 0 0 0 0 0 0 min
#205 0 0 0.0 0 0 0 0 0 1 min
#206 0 0 0.0 0 0 0 20 0 2 min
#207 623 0 2 0.0 1 0 0 240 1,031 15 min
#208 0 0 0.0 0 0 0 0 0 0 min
#209 0 0 0.0 0 0 0 0 0 0 min
#210 0 0 0.0 0 0 0 0 0 0 min
#211 0 0 0.0 0 0 0 0 0 0 min
#212 0 0 0.0 0 0 0 0 0 0 min