carentan_warfare

Carentan Warfare Day

24.04.2026 18:05 | GERMAN_BATTLEGROUND_4

Result

3:2

Axis wins

Players

311

Total Kills

2,254

Allied Kills

1,000

Axis Kills

1,254

Match Duration

150 min

Kills/Min

15.0

High Match ELO

Allies 1219.0 (all: 781.0)
Ø Match 1244.0
Axis 1269.0 (all: 772.0)

Player Statistics (311)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1297 88 16 5.5 0 878 420 1,260 2,540 97 min
#2 1331 65 15 4.33 0 677 300 560 1,484 68 min
#3 1382 56 11 5.09 0 502 220 460 240 45 min
#4 918 55 4 13.75 1 585 120 2,100 55 115 min
#5 1059 52 31 1.68 1 1,176 1,020 160 388 78 min
#6 736 51 17 3.0 0 1,130 460 1,340 1,622 104 min
#7 935 51 8 6.38 0 1,088 200 520 0 52 min
#8 974 50 30 1.67 0 634 200 1,340 170 92 min
#9 1200 49 16 3.06 0 711 400 920 364 80 min
#10 1169 40 30 1.33 0 1,093 740 560 170 87 min
#11 627 39 21 1.86 0 696 800 440 0 73 min
#12 993 37 36 1.03 1 628 900 300 632 78 min
#13 1152 36 29 1.24 1 546 740 420 50 79 min
#14 1478 34 14 2.43 8 504 220 200 15 37 min
#15 700 33 10 3.3 0 322 80 1,180 140 70 min
#16 717 33 23 1.43 3 307 880 240 10 84 min
#17 639 31 26 1.19 0 465 520 780 160 80 min
#18 768 30 36 0.83 1 883 960 220 60 78 min
#19 967 30 24 1.25 0 309 500 820 764 82 min
#20 909 30 19 1.58 0 302 480 1,020 0 93 min
#21 1209 29 17 1.71 0 279 240 960 1,151 71 min
#22 1773 28 5 5.6 0 275 120 260 252 29 min
#23 803 27 25 1.08 0 245 460 700 15 75 min
#24 1309 26 9 2.89 0 256 320 380 171 82 min
#25 761 26 26 1.0 0 218 620 240 95 59 min
#26 1230 25 23 1.09 1 481 860 320 2,215 77 min
#27 811 25 31 0.81 0 348 540 480 120 72 min
#28 805 23 34 0.68 0 482 200 1,000 390 75 min
#29 787 23 23 1.0 1 236 640 240 10 69 min
#30 778 22 22 1.0 2 1,566 700 640 265 83 min
#31 1025 22 20 1.1 0 263 840 120 150 59 min
#32 594 21 32 0.66 1 385 460 1,560 10 118 min
#33 511 21 30 0.7 0 320 700 800 0 102 min
#34 846 20 20 1.0 0 528 280 520 0 54 min
#35 883 20 20 1.0 1 296 540 780 676 82 min
#36 688 20 29 0.69 0 185 580 220 230 58 min
#37 849 20 17 1.18 0 179 560 500 170 64 min
#38 740 19 8 2.38 0 197 360 1,260 0 98 min
#39 755 19 16 1.19 1 143 280 120 25 31 min
#40 754 18 8 2.25 1 222 100 580 5 39 min
#41 991 17 28 0.61 0 457 720 480 446 78 min
#42 821 17 17 1.0 0 358 460 860 387 75 min
#43 711 17 4 4.25 0 156 260 180 0 24 min
#44 724 16 16 1.0 1 124 440 460 90 59 min
#45 939 16 1 16.0 0 120 0 460 15 23 min
#46 1003 15 8 1.88 0 429 440 760 891 70 min
#47 527 15 20 0.75 0 163 760 340 340 84 min
#48 861 15 20 0.75 0 129 460 420 75 59 min
#49 611 15 20 0.75 0 123 480 700 75 80 min
#50 754 14 29 0.48 2 390 680 260 685 63 min
#51 1002 14 14 1.0 0 179 260 280 250 34 min
#52 728 14 15 0.93 0 164 320 1,000 403 77 min
#53 612 14 19 0.74 0 137 440 680 75 69 min
#54 706 14 8 1.75 0 123 440 440 5 51 min
#55 539 13 32 0.41 1 291 380 960 678 87 min
#56 13 6 2.17 0 166 100 220 75 20 min
#57 937 13 3 4.33 0 122 0 220 0 30 min
#58 512 13 18 0.72 2 121 120 900 150 72 min
#59 620 12 21 0.57 0 264 200 620 870 57 min
#60 743 12 4 3.0 0 85 440 140 214 36 min
#61 567 11 15 0.73 0 594 860 520 25 76 min
#62 858 11 19 0.58 0 278 540 560 230 68 min
#63 550 11 16 0.69 0 230 420 640 135 68 min
#64 485 11 11 1.0 0 131 160 1,360 10 84 min
#65 975 11 6 1.83 1 126 40 400 5 31 min
#66 961 11 17 0.65 1 116 220 380 0 44 min
#67 585 11 17 0.65 1 101 440 560 660 66 min
#68 689 11 10 1.1 0 97 340 400 0 45 min
#69 866 11 9 1.22 0 94 140 360 80 34 min
#70 895 10 6 1.67 0 308 400 60 0 37 min
#71 852 10 12 0.83 0 183 400 400 942 65 min
#72 552 10 26 0.38 1 87 160 860 0 64 min
#73 600 10 14 0.71 0 81 760 300 525 64 min
#74 731 10 5 2.0 0 72 260 140 0 33 min
#75 770 9 19 0.47 1 350 560 460 412 64 min
#76 668 9 8 1.12 3 320 100 1,040 2,273 65 min
#77 667 9 3 3.0 0 174 20 960 2,804 56 min
#78 648 9 15 0.6 0 147 40 1,020 25 70 min
#79 746 9 17 0.53 0 98 480 160 10 45 min
#80 969 9 6 1.5 0 81 280 100 225 25 min
#81 633 9 8 1.12 0 79 320 380 95 55 min
#82 653 8 11 0.73 1 218 0 580 20 36 min
#83 588 8 6 1.33 0 213 20 680 520 52 min
#84 921 8 13 0.62 0 175 100 720 175 49 min
#85 632 8 29 0.28 1 113 180 980 325 75 min
#86 761 8 2 4.0 2 81 200 180 5 22 min
#87 8 11 0.73 0 68 0 220 120 19 min
#88 8 5 1.6 0 65 80 260 120 20 min
#89 827 8 15 0.53 0 63 340 300 200 44 min
#90 590 7 22 0.32 0 216 540 300 40 56 min
#91 596 7 12 0.58 0 138 80 520 75 55 min
#92 610 7 11 0.64 0 77 300 160 225 31 min
#93 597 7 6 1.17 0 75 220 520 5 41 min
#94 1260 7 5 1.4 0 69 240 140 170 23 min
#95 7 3 2.33 1 68 40 100 0 13 min
#96 700 7 4 1.75 0 66 60 400 381 33 min
#97 660 7 11 0.64 0 61 260 140 0 32 min
#98 781 7 22 0.32 0 56 340 280 80 50 min
#99 906 6 12 0.5 0 232 120 840 185 57 min
#100 854 6 11 0.55 0 204 40 600 275 37 min
#101 6 5 1.2 0 93 80 100 0 14 min
#102 790 6 5 1.2 0 92 120 240 75 30 min
#103 734 6 12 0.5 0 90 140 420 15 37 min
#104 955 6 3 2.0 0 75 160 360 25 34 min
#105 481 6 9 0.67 0 68 460 460 0 67 min
#106 548 6 7 0.86 0 65 240 300 115 58 min
#107 541 6 17 0.35 1 57 440 620 0 65 min
#108 6 6 1.0 0 55 220 20 60 17 min
#109 6 4 1.5 0 54 200 0 0 13 min
#110 613 6 11 0.55 1 50 80 600 375 40 min
#111 466 6 7 0.86 0 49 340 140 10 33 min
#112 827 6 1 6.0 0 47 40 360 0 22 min
#113 6 1 6.0 0 47 20 100 0 10 min
#114 5 4 1.25 0 96 20 240 0 18 min
#115 474 5 26 0.19 7 56 520 440 120 77 min
#116 5 5 1.0 0 55 0 280 20 20 min
#117 5 7 0.71 1 52 200 60 35 20 min
#118 520 5 12 0.42 0 50 260 560 183 58 min
#119 5 3 1.67 0 50 20 40 10 9 min
#120 1144 5 1 5.0 0 48 160 380 180 35 min
#121 713 5 9 0.56 0 46 200 700 10 74 min
#122 578 5 4 1.25 0 42 60 280 0 21 min
#123 5 1 5.0 0 40 40 260 15 18 min
#124 4 2 2.0 0 186 160 0 0 8 min
#125 4 6 0.67 0 85 140 60 75 17 min
#126 832 4 5 0.8 0 45 160 220 0 24 min
#127 449 4 4 1.0 0 43 200 100 0 22 min
#128 4 4 1.0 0 35 0 280 0 19 min
#129 4 2 2.0 0 26 80 0 170 6 min
#130 3 7 0.43 0 180 140 20 0 13 min
#131 435 3 17 0.18 0 97 220 900 15 70 min
#132 3 4 0.75 0 76 0 220 100 14 min
#133 830 3 2 1.5 0 75 100 300 25 27 min
#134 618 3 26 0.12 1 44 640 180 15 62 min
#135 3 4 0.75 0 41 140 160 40 19 min
#136 3 4 0.75 0 41 120 80 20 19 min
#137 3 2 1.5 0 39 40 40 0 9 min
#138 551 3 13 0.23 0 39 240 460 150 62 min
#139 3 2 1.5 0 31 100 0 5 9 min
#140 3 5 0.6 0 28 160 60 5 14 min
#141 826 3 15 0.2 1 27 320 960 10,727 147 min
#142 3 7 0.43 0 23 180 60 135 19 min
#143 3 6 0.5 0 23 40 160 78 18 min
#144 503 3 9 0.33 0 22 280 220 25 32 min
#145 564 2 22 0.09 0 335 480 220 5 58 min
#146 503 2 8 0.25 0 210 40 420 0 29 min
#147 450 2 21 0.1 2 100 360 640 300 67 min
#148 583 2 15 0.13 0 91 40 600 60 44 min
#149 610 2 4 0.5 0 64 40 280 165 22 min
#150 618 2 7 0.29 2 26 140 860 1,090 57 min
#151 514 2 9 0.22 0 25 0 520 20 35 min
#152 2 4 0.5 0 22 80 0 0 6 min
#153 2 2 1.0 1 22 0 200 0 13 min
#154 2 7 0.29 0 20 120 40 0 13 min
#155 631 2 3 0.67 0 20 140 240 75 23 min
#156 2 6 0.33 0 19 180 80 0 18 min
#157 2 3 0.67 0 18 100 0 5 8 min
#158 1479 2 1 2.0 0 18 120 20 5 22 min
#159 2 1 2.0 0 17 40 40 0 7 min
#160 2 2 1.0 0 17 0 160 0 13 min
#161 422 2 8 0.25 2 14 160 200 5 28 min
#162 2 2 1.0 0 13 60 20 0 7 min
#163 694 2 1 2.0 0 13 60 260 0 22 min
#164 1 3 0.33 0 100 60 100 140 11 min
#165 1 7 0.14 0 85 20 80 0 11 min
#166 1 4 0.25 0 64 100 20 70 11 min
#167 569 1 10 0.1 0 63 0 560 0 33 min
#168 1 2 0.5 0 62 80 20 0 9 min
#169 928 1 7 0.14 0 58 20 240 0 20 min
#170 1 5 0.2 0 18 180 60 0 18 min
#171 1 0 1.0 0 16 40 140 0 12 min
#172 1 4 0.25 0 15 180 100 0 17 min
#173 1 4 0.25 0 15 0 120 0 9 min
#174 721 1 21 0.05 1 14 520 800 180 93 min
#175 578 1 3 0.33 0 13 120 180 0 43 min
#176 1 2 0.5 0 12 140 0 5 9 min
#177 1 1 1.0 0 12 20 40 0 7 min
#178 1 1 1.0 0 12 120 0 0 9 min
#179 1 4 0.25 0 11 60 40 0 9 min
#180 1 2 0.5 0 11 80 0 0 5 min
#181 1 2 0.5 0 11 100 20 0 9 min
#182 1 0 1.0 0 10 0 0 0 2 min
#183 1 0 1.0 1 10 20 40 0 5 min
#184 1 3 0.33 0 10 0 60 0 7 min
#185 1 3 0.33 0 10 160 100 0 18 min
#186 1 2 0.5 0 10 40 80 0 8 min
#187 597 1 6 0.17 0 9 100 200 373 20 min
#188 1 1 1.0 0 9 0 60 155 5 min
#189 1 3 0.33 0 9 40 120 0 13 min
#190 1 2 0.5 0 9 0 20 0 3 min
#191 612 1 6 0.17 0 9 240 140 0 31 min
#192 1 5 0.2 0 9 80 160 5 18 min
#193 1 2 0.5 0 9 0 120 0 9 min
#194 1 1 1.0 0 8 0 120 0 8 min
#195 1 2 0.5 0 8 20 0 0 5 min
#196 1 3 0.33 0 7 0 200 0 14 min
#197 1 4 0.25 0 7 80 100 0 15 min
#198 1 1 1.0 0 4 0 0 0 5 min
#199 0 0 0.0 0 20 100 60 0 9 min
#200 387 0 7 0.0 0 11 80 820 0 60 min
#201 0 3 0.0 0 10 40 100 0 10 min
#202 0 4 0.0 0 7 160 120 0 19 min
#203 729 0 3 0.0 0 7 180 160 0 22 min
#204 0 0 0.0 0 6 20 80 75 6 min
#205 713 0 10 0.0 0 5 160 360 75 35 min
#206 0 2 0.0 0 4 80 120 0 13 min
#207 0 2 0.0 0 4 20 60 0 10 min
#208 0 1 0.0 2 3 100 80 0 16 min
#209 0 1 0.0 0 3 0 0 0 3 min
#210 0 5 0.0 0 3 80 200 30 19 min
#211 0 2 0.0 0 2 40 20 0 7 min
#212 0 2 0.0 0 1 0 0 0 2 min
#213 0 1 0.0 0 1 0 0 0 2 min
#214 0 1 0.0 0 1 20 240 5 16 min
#215 0 2 0.0 0 1 40 0 0 4 min
#216 0 1 0.0 0 1 40 80 0 8 min
#217 535 0 12 0.0 0 1 260 200 55 33 min
#218 0 1 0.0 0 1 0 40 0 2 min
#219 0 0 0.0 0 0 0 0 0 2 min
#220 0 0 0.0 0 0 0 40 120 4 min
#221 0 0 0.0 0 0 0 0 0 2 min
#222 0 0 0.0 0 0 0 20 0 3 min
#223 0 0 0.0 0 0 0 0 0 0 min
#224 0 0 0.0 0 0 0 0 0 0 min
#225 0 0 0.0 0 0 0 0 0 0 min
#226 0 1 0.0 0 0 0 20 0 19 min
#227 0 2 0.0 0 0 120 80 0 13 min
#228 0 1 0.0 0 0 20 0 0 4 min
#229 0 0 0.0 0 0 0 0 0 0 min
#230 0 0 0.0 0 0 0 0 0 1 min
#231 0 0 0.0 0 0 0 0 0 0 min
#232 0 1 0.0 0 0 0 20 0 4 min
#233 0 0 0.0 0 0 60 40 0 8 min
#234 0 0 0.0 0 0 0 0 0 2 min
#235 0 0 0.0 0 0 0 0 0 0 min
#236 0 0 0.0 0 0 20 40 0 4 min
#237 0 0 0.0 0 0 0 0 0 1 min
#238 0 0 0.0 0 0 0 0 0 2 min
#239 0 0 0.0 0 0 0 0 0 0 min
#240 0 0 0.0 0 0 0 0 0 1 min
#241 0 0 0.0 0 0 0 0 0 0 min
#242 0 0 0.0 0 0 0 0 0 0 min
#243 0 0 0.0 0 0 0 0 0 1 min
#244 0 0 0.0 0 0 0 0 0 1 min
#245 0 1 0.0 0 0 0 40 0 2 min
#246 0 0 0.0 0 0 0 20 0 3 min
#247 0 2 0.0 0 0 0 140 0 16 min
#248 0 0 0.0 0 0 0 0 0 3 min
#249 0 1 0.0 0 0 0 0 0 3 min
#250 0 1 0.0 0 0 0 20 0 3 min
#251 0 0 0.0 0 0 0 20 0 3 min
#252 0 0 0.0 0 0 0 0 0 0 min
#253 0 0 0.0 0 0 0 0 0 2 min
#254 0 1 0.0 0 0 0 60 0 8 min
#255 0 0 0.0 0 0 0 0 0 0 min
#256 0 1 0.0 0 0 0 20 0 4 min
#257 0 2 0.0 0 0 20 140 0 11 min
#258 0 0 0.0 0 0 0 0 0 1 min
#259 0 0 0.0 0 0 0 0 0 0 min
#260 0 1 0.0 0 0 0 20 0 5 min
#261 0 0 0.0 0 0 0 0 0 1 min
#262 0 0 0.0 0 0 0 0 0 0 min
#263 0 0 0.0 0 0 0 0 0 1 min
#264 0 0 0.0 0 0 0 0 0 0 min
#265 0 0 0.0 0 0 0 0 0 2 min
#266 0 0 0.0 0 0 0 0 0 1 min
#267 0 0 0.0 0 0 0 0 0 1 min
#268 0 0 0.0 0 0 0 0 0 1 min
#269 0 0 0.0 0 0 0 20 0 3 min
#270 0 0 0.0 0 0 0 0 0 1 min
#271 0 0 0.0 0 0 0 0 0 3 min
#272 0 0 0.0 0 0 0 0 0 2 min
#273 0 0 0.0 0 0 0 240 0 13 min
#274 0 2 0.0 0 0 0 20 0 4 min
#275 0 0 0.0 0 0 0 0 0 1 min
#276 0 1 0.0 0 0 40 0 0 2 min
#277 0 0 0.0 0 0 0 0 0 1 min
#278 0 0 0.0 0 0 0 0 0 2 min
#279 0 0 0.0 0 0 0 0 0 1 min
#280 0 0 0.0 0 0 0 0 0 0 min
#281 0 0 0.0 0 0 0 0 0 1 min
#282 0 0 0.0 0 0 0 0 0 1 min
#283 0 0 0.0 0 0 0 0 0 1 min
#284 0 0 0.0 0 0 0 0 0 1 min
#285 0 0 0.0 0 0 0 0 0 1 min
#286 0 0 0.0 0 0 0 0 0 3 min
#287 0 0 0.0 0 0 0 0 0 3 min
#288 0 3 0.0 0 0 60 60 0 12 min
#289 0 0 0.0 0 0 0 20 0 4 min
#290 0 0 0.0 0 0 0 0 0 1 min
#291 0 0 0.0 0 0 0 0 0 1 min
#292 0 0 0.0 0 0 0 0 0 1 min
#293 0 0 0.0 0 0 0 0 0 1 min
#294 0 0 0.0 0 0 0 100 0 6 min
#295 0 0 0.0 0 0 0 0 0 2 min
#296 0 0 0.0 0 0 0 0 0 1 min
#297 0 0 0.0 0 0 0 40 0 3 min
#298 0 0 0.0 0 0 0 40 0 4 min
#299 0 0 0.0 0 0 0 0 0 3 min
#300 0 0 0.0 0 0 0 0 0 0 min
#301 0 1 0.0 0 0 0 40 0 5 min
#302 0 0 0.0 0 0 0 80 0 5 min
#303 0 0 0.0 0 0 40 20 0 6 min
#304 0 0 0.0 0 0 0 0 0 0 min
#305 0 0 0.0 0 0 0 0 0 2 min
#306 0 0 0.0 0 0 0 0 0 0 min
#307 0 0 0.0 0 0 0 0 0 1 min
#308 0 0 0.0 0 0 0 0 0 0 min
#309 0 0 0.0 0 0 0 0 0 2 min
#310 0 0 0.0 0 0 0 0 0 1 min
#311 0 3 0.0 0 0 40 40 0 7 min