carentan_warfare

Carentan Warfare Day

07.04.2026 23:26 | TACO | Lvl 50+ | Warfare | EU West

Result

1:4

Allied wins

Players

262

Total Kills

2,010

Allied Kills

1,080

Axis Kills

924

Match Duration

90 min

Kills/Min

22.3

Normal Match ELO

Allies 1286.0 (all: 795.0)
Ø Match 1172.0
Axis 1057.0 (all: 774.0)
Highly imbalanced

Player Statistics (262)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1654 128 28 4.57 4 1,508 700 740 556 85 min
#2 1517 87 20 4.35 0 867 380 900 15 73 min
#3 1558 53 14 3.79 1 967 640 620 85 78 min
#4 1220 53 20 2.65 0 646 560 600 105 70 min
#5 914 51 5 10.2 0 2,302 1,100 600 180 85 min
#6 894 49 9 5.44 3 828 260 1,360 1,415 85 min
#7 43 34 1.26 0 498 20 1,140 25 0 min
#8 1043 40 25 1.6 0 726 640 640 270 79 min
#9 537 37 6 6.17 1 863 520 820 60 73 min
#10 1123 36 13 2.77 0 605 1,260 300 25 85 min
#11 907 30 33 0.91 2 652 560 840 120 85 min
#12 899 29 15 1.93 0 621 120 1,440 6,058 85 min
#13 993 29 45 0.64 3 511 540 740 460 85 min
#14 913 28 3 9.33 1 331 220 460 10 40 min
#15 761 27 11 2.45 0 560 100 1,460 700 85 min
#16 1434 27 17 1.59 1 530 420 320 579 44 min
#17 836 27 23 1.17 0 311 400 720 325 165 min
#18 860 26 37 0.7 0 263 240 920 835 81 min
#19 25 3 8.33 0 555 160 200 0 0 min
#20 1057 25 21 1.19 2 397 440 1,080 585 85 min
#21 24 16 1.5 0 1,485 800 520 922 0 min
#22 1166 24 20 1.2 0 290 180 540 205 57 min
#23 917 23 42 0.55 0 490 580 700 700 85 min
#24 991 23 14 1.64 0 448 200 660 1,460 54 min
#25 1018 23 20 1.15 0 314 240 560 707 49 min
#26 579 22 18 1.22 3 1,146 680 620 195 85 min
#27 611 22 18 1.22 1 508 280 1,300 3,922 85 min
#28 555 22 12 1.83 0 283 400 580 180 57 min
#29 1263 21 19 1.11 0 682 860 100 905 67 min
#30 913 21 25 0.84 0 378 280 880 220 73 min
#31 867 21 17 1.24 1 294 440 140 75 42 min
#32 21 19 1.11 0 250 580 780 584 0 min
#33 1292 19 3 6.33 2 723 200 520 15 40 min
#34 1010 19 9 2.11 0 187 0 520 105 32 min
#35 953 18 23 0.78 0 327 320 380 80 135 min
#36 966 18 10 1.8 0 173 180 480 220 41 min
#37 807 17 10 1.7 0 506 300 300 10 36 min
#38 1112 17 15 1.13 0 297 280 720 569 66 min
#39 768 17 15 1.13 1 198 160 1,200 10 80 min
#40 989 17 11 1.55 0 172 40 420 25 30 min
#41 919 16 5 3.2 0 1,399 500 220 20 40 min
#42 732 16 19 0.84 1 321 120 880 25 65 min
#43 846 15 23 0.65 0 403 820 520 335 78 min
#44 641 14 23 0.61 1 264 160 480 80 47 min
#45 1123 14 6 2.33 0 195 40 600 125 44 min
#46 726 14 21 0.67 1 145 160 820 10 63 min
#47 993 13 15 0.87 0 1,575 1,180 400 664 85 min
#48 816 13 10 1.3 0 1,199 800 0 45 49 min
#49 513 13 12 1.08 0 283 300 720 10 63 min
#50 1006 13 9 1.44 0 229 200 360 145 34 min
#51 1037 13 7 1.86 0 120 280 220 20 29 min
#52 762 12 6 2.0 0 2,276 1,100 580 150 85 min
#53 611 12 20 0.6 0 275 240 480 30 53 min
#54 872 12 14 0.86 0 178 300 480 5 52 min
#55 785 12 9 1.33 0 163 0 640 80 39 min
#56 817 12 11 1.09 0 110 120 260 5 26 min
#57 976 11 4 2.75 0 894 280 260 10 33 min
#58 709 11 18 0.61 0 569 1,220 340 628 85 min
#59 889 11 21 0.52 0 329 640 420 45 67 min
#60 725 11 30 0.37 0 216 860 360 685 74 min
#61 11 3 3.67 0 196 60 80 0 10 min
#62 797 11 21 0.52 0 190 280 460 740 53 min
#63 530 10 26 0.38 2 191 760 680 285 85 min
#64 858 10 19 0.53 0 159 280 760 685 68 min
#65 926 10 12 0.83 0 138 100 160 75 29 min
#66 871 10 3 3.33 0 95 180 140 15 20 min
#67 9 8 1.12 0 760 260 1,300 1,625 0 min
#68 595 9 29 0.31 0 393 580 380 5 63 min
#69 658 9 11 0.82 0 189 320 560 245 53 min
#70 939 9 13 0.69 0 180 360 260 25 39 min
#71 658 9 20 0.45 1 161 360 320 85 47 min
#72 752 9 15 0.6 0 131 400 620 170 66 min
#73 568 9 21 0.43 1 101 200 260 65 32 min
#74 1075 9 7 1.29 0 90 200 180 0 26 min
#75 746 9 14 0.64 0 80 280 440 95 49 min
#76 612 8 13 0.62 0 381 260 220 15 35 min
#77 655 8 14 0.57 0 174 160 560 95 47 min
#78 629 8 4 2.0 0 174 40 280 25 21 min
#79 838 8 19 0.42 0 173 420 280 0 49 min
#80 879 8 3 2.67 0 171 220 200 0 26 min
#81 919 8 12 0.67 1 146 180 460 1,185 41 min
#82 537 8 21 0.38 0 128 0 1,480 1,265 85 min
#83 623 8 5 1.6 0 126 300 140 50 25 min
#84 1009 8 9 0.89 0 123 0 220 0 16 min
#85 864 8 7 1.14 0 109 0 460 10 28 min
#86 710 8 8 1.0 0 101 460 380 20 49 min
#87 569 8 15 0.53 0 99 140 1,420 469 85 min
#88 620 8 27 0.3 1 85 420 1,040 580 85 min
#89 826 8 12 0.67 1 82 120 560 95 42 min
#90 679 7 22 0.32 0 177 280 1,000 5 76 min
#91 818 7 9 0.78 0 110 40 560 695 35 min
#92 7 4 1.75 0 96 320 760 201 0 min
#93 774 7 17 0.41 0 86 280 240 78 36 min
#94 974 7 10 0.7 0 52 400 220 15 38 min
#95 459 6 8 0.75 3 898 520 1,000 120 81 min
#96 651 6 17 0.35 1 707 380 1,060 3,874 87 min
#97 674 6 6 1.0 0 310 40 280 55 26 min
#98 679 6 14 0.43 1 78 640 220 15 55 min
#99 960 6 9 0.67 0 74 40 620 15 39 min
#100 866 6 7 0.86 0 61 60 260 0 21 min
#101 460 6 14 0.43 0 59 360 640 95 64 min
#102 6 4 1.5 0 56 20 180 465 14 min
#103 6 1 6.0 4 46 0 0 0 3 min
#104 845 5 10 0.5 0 1,217 1,380 180 530 85 min
#105 891 5 5 1.0 0 376 140 340 10 27 min
#106 837 5 4 1.25 0 90 280 80 10 24 min
#107 576 5 18 0.28 0 82 440 620 35 68 min
#108 582 5 11 0.45 0 79 380 820 158 74 min
#109 576 5 3 1.67 0 68 320 20 15 22 min
#110 5 8 0.62 0 67 200 640 0 0 min
#111 5 3 1.67 0 57 80 120 0 13 min
#112 467 5 16 0.31 0 55 440 320 0 47 min
#113 571 5 12 0.42 0 51 380 180 0 36 min
#114 859 5 8 0.62 0 42 60 160 10 16 min
#115 5 4 1.25 0 39 160 40 75 14 min
#116 5 7 0.71 0 39 0 140 0 11 min
#117 669 5 6 0.83 0 36 40 300 5 22 min
#118 702 4 18 0.22 1 66 300 880 959 69 min
#119 646 4 0 4.0 0 50 420 20 0 23 min
#120 417 4 11 0.36 0 48 540 220 165 50 min
#121 570 3 6 0.5 0 49 60 380 10 28 min
#122 558 3 17 0.18 0 36 280 840 205 65 min
#123 795 3 4 0.75 0 35 180 80 80 16 min
#124 3 2 1.5 0 32 20 40 15 10 min
#125 3 3 1.0 0 31 0 60 0 6 min
#126 587 3 3 1.0 0 29 0 360 20 24 min
#127 3 1 3.0 0 24 0 100 15 7 min
#128 679 2 3 0.67 5 403 140 560 70 42 min
#129 548 2 24 0.08 0 34 420 460 195 63 min
#130 647 2 5 0.4 0 31 120 280 75 21 min
#131 570 2 3 0.67 0 23 120 240 623 22 min
#132 2 4 0.5 0 23 0 120 117 8 min
#133 458 2 2 1.0 0 22 320 20 0 27 min
#134 802 2 4 0.5 0 22 100 240 5 18 min
#135 2 3 0.67 0 21 0 0 0 4 min
#136 2 7 0.29 0 18 140 80 0 15 min
#137 743 2 3 0.67 0 17 160 80 0 19 min
#138 2 3 0.67 0 16 0 80 0 7 min
#139 2 2 1.0 0 10 0 100 0 14 min
#140 625 1 4 0.25 3 140 140 240 902 24 min
#141 499 1 21 0.05 0 112 420 260 0 47 min
#142 515 1 14 0.07 0 66 320 160 170 39 min
#143 717 1 10 0.1 0 63 140 220 0 26 min
#144 1 2 0.5 0 57 0 40 0 5 min
#145 814 1 5 0.2 0 47 200 340 0 35 min
#146 1 1 1.0 0 36 0 40 0 5 min
#147 1 1 1.0 0 34 0 20 0 0 min
#148 1 6 0.17 0 33 0 180 0 14 min
#149 625 1 5 0.2 0 25 40 140 0 16 min
#150 664 1 5 0.2 0 20 180 120 5 18 min
#151 1 6 0.17 0 19 120 60 0 99 min
#152 519 1 10 0.1 0 15 40 260 0 23 min
#153 1 8 0.12 0 15 40 100 5 14 min
#154 729 1 10 0.1 0 15 320 120 745 30 min
#155 1 5 0.2 0 11 60 140 0 15 min
#156 1 2 0.5 0 11 80 80 0 10 min
#157 1 1 1.0 0 10 0 60 0 4 min
#158 1 5 0.2 0 9 0 60 0 19 min
#159 1 1 1.0 0 7 80 0 0 5 min
#160 1 4 0.25 0 7 0 100 75 9 min
#161 1 0 1.0 0 4 60 160 0 15 min
#162 791 0 10 0.0 1 878 240 1,360 1,885 85 min
#163 0 1 0.0 0 428 120 180 135 15 min
#164 527 0 6 0.0 1 383 220 880 20 59 min
#165 0 0 0.0 0 150 60 0 0 4 min
#166 0 0 0.0 0 93 120 40 0 0 min
#167 0 0 0.0 0 62 120 200 849 0 min
#168 657 0 2 0.0 0 52 40 260 31 20 min
#169 0 0 0.0 0 32 100 200 125 0 min
#170 589 0 3 0.0 0 25 80 420 280 30 min
#171 0 0 0.0 0 16 40 120 5 0 min
#172 0 2 0.0 0 14 40 120 0 10 min
#173 723 0 7 0.0 0 13 0 180 225 15 min
#174 575 0 11 0.0 0 10 120 140 80 19 min
#175 552 0 7 0.0 0 10 220 0 25 17 min
#176 0 5 0.0 0 5 0 120 0 13 min
#177 0 1 0.0 0 2 0 40 0 5 min
#178 595 0 8 0.0 0 2 220 380 375 36 min
#179 0 3 0.0 0 2 20 100 0 11 min
#180 556 0 2 0.0 0 2 80 160 0 15 min
#181 0 1 0.0 0 2 20 0 0 6 min
#182 0 1 0.0 0 2 0 60 0 5 min
#183 0 2 0.0 0 2 0 40 0 4 min
#184 0 1 0.0 1 1 60 60 0 8 min
#185 0 0 0.0 0 1 0 20 0 3 min
#186 0 4 0.0 0 1 20 140 55 13 min
#187 0 1 0.0 0 1 0 0 0 2 min
#188 0 1 0.0 0 1 0 40 0 5 min
#189 0 1 0.0 0 1 20 0 0 4 min
#190 498 0 5 0.0 0 1 20 260 5 19 min
#191 0 1 0.0 0 1 0 200 384 10 min
#192 0 0 0.0 0 0 0 0 0 11 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 0 0.0 0 0 0 20 0 4 min
#195 0 0 0.0 0 0 20 0 150 3 min
#196 0 1 0.0 0 0 0 0 0 0 min
#197 0 0 0.0 0 0 0 0 0 2 min
#198 0 0 0.0 0 0 0 0 0 2 min
#199 0 0 0.0 0 0 0 0 0 0 min
#200 0 0 0.0 0 0 0 0 0 2 min
#201 0 0 0.0 0 0 0 20 0 0 min
#202 0 0 0.0 0 0 0 0 0 2 min
#203 0 0 0.0 0 0 0 20 0 88 min
#204 0 1 0.0 0 0 20 40 15 4 min
#205 0 1 0.0 0 0 0 0 0 1 min
#206 0 1 0.0 1 0 0 0 0 1 min
#207 0 0 0.0 0 0 0 0 0 2 min
#208 0 0 0.0 0 0 0 0 0 86 min
#209 0 0 0.0 0 0 0 40 0 5 min
#210 0 0 0.0 0 0 0 0 0 2 min
#211 0 0 0.0 0 0 0 0 0 1 min
#212 0 0 0.0 0 0 0 0 0 0 min
#213 0 0 0.0 0 0 0 40 0 3 min
#214 0 0 0.0 0 0 0 0 0 31 min
#215 0 0 0.0 0 0 0 20 0 3 min
#216 0 0 0.0 0 0 0 0 0 1 min
#217 0 0 0.0 0 0 0 0 0 0 min
#218 0 0 0.0 0 0 0 0 0 0 min
#219 0 2 0.0 0 0 0 0 0 4 min
#220 0 4 0.0 0 0 0 40 0 3 min
#221 0 0 0.0 0 0 0 0 0 0 min
#222 0 0 0.0 0 0 0 0 0 0 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 1 0.0 0 0 0 60 0 6 min
#226 0 0 0.0 0 0 0 0 0 0 min
#227 0 0 0.0 0 0 0 0 0 2 min
#228 0 0 0.0 0 0 0 0 0 85 min
#229 0 1 0.0 0 0 180 40 0 13 min
#230 0 0 0.0 0 0 0 0 0 0 min
#231 0 0 0.0 0 0 0 0 0 7 min
#232 0 0 0.0 0 0 0 0 0 1 min
#233 0 0 0.0 0 0 0 0 0 85 min
#234 0 0 0.0 0 0 0 0 0 0 min
#235 0 0 0.0 0 0 0 0 0 0 min
#236 0 0 0.0 0 0 0 40 0 3 min
#237 0 0 0.0 0 0 0 0 0 2 min
#238 0 0 0.0 0 0 0 0 0 0 min
#239 0 0 0.0 0 0 0 0 0 0 min
#240 0 0 0.0 0 0 0 0 0 3 min
#241 0 0 0.0 0 0 0 0 0 1 min
#242 0 0 0.0 0 0 0 0 0 0 min
#243 0 1 0.0 0 0 20 40 0 5 min
#244 0 0 0.0 0 0 0 60 0 3 min
#245 0 0 0.0 0 0 0 0 0 1 min
#246 0 0 0.0 0 0 0 0 0 1 min
#247 0 0 0.0 0 0 0 0 0 1 min
#248 0 0 0.0 0 0 0 0 0 3 min
#249 0 0 0.0 0 0 0 80 0 4 min
#250 0 2 0.0 3 0 0 20 0 4 min
#251 0 0 0.0 0 0 0 0 0 0 min
#252 0 0 0.0 0 0 0 0 0 0 min
#253 0 0 0.0 0 0 0 20 0 2 min
#254 0 0 0.0 0 0 0 0 0 0 min
#255 0 0 0.0 0 0 0 0 0 0 min
#256 0 0 0.0 0 0 0 0 0 0 min
#257 0 0 0.0 0 0 0 0 0 1 min
#258 0 1 0.0 0 0 0 120 0 5 min
#259 0 2 0.0 0 0 0 20 0 3 min
#260 0 0 0.0 0 0 0 0 0 1 min
#261 0 0 0.0 0 0 0 0 0 1 min
#262 0 3 0.0 0 0 0 80 0 7 min