carentan_warfare_night

Carentan Warfare Night

08.03.2026 23:21 | Vanguarda_2

Result

2:3

Allied wins

Players

202

Total Kills

2,039

Allied Kills

1,005

Axis Kills

1,034

Match Duration

92 min

Kills/Min

22.2

High Match ELO

Allies 1301.0 (all: 811.0)
Ø Match 1221.0
Axis 1141.0 (all: 795.0)
Imbalanced

Player Statistics (202)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1531 89 47 1.89 0 1,526 500 740 294 87 min
#2 1659 67 15 4.47 1 883 600 360 455 60 min
#3 1225 63 15 4.2 0 644 60 1,320 2,715 79 min
#4 1552 62 21 2.95 1 868 260 740 100 67 min
#5 944 50 20 2.5 0 563 160 1,260 330 87 min
#6 1367 44 26 1.69 3 974 600 760 1,896 85 min
#7 565 44 3 14.67 4 873 280 840 45 65 min
#8 905 42 19 2.21 2 503 560 920 50 89 min
#9 1112 40 28 1.43 0 843 1,180 240 225 87 min
#10 774 40 31 1.29 0 384 360 900 20 87 min
#11 729 38 20 1.9 0 913 900 640 130 87 min
#12 595 38 5 7.6 3 774 200 1,160 30 80 min
#13 764 35 26 1.35 0 1,021 960 420 454 87 min
#14 962 32 24 1.33 1 657 60 860 25 64 min
#15 747 32 27 1.19 2 539 440 980 690 87 min
#16 1787 32 7 4.57 1 443 240 1,400 4,450 87 min
#17 998 31 37 0.84 0 499 560 760 280 90 min
#18 829 31 23 1.35 0 356 740 600 15 88 min
#19 947 31 15 2.07 1 356 1,200 380 164 89 min
#20 860 31 16 1.94 1 315 360 1,080 565 87 min
#21 857 30 37 0.81 0 614 840 460 622 88 min
#22 620 29 7 4.14 1 390 160 740 60 51 min
#23 752 27 44 0.61 1 260 640 660 245 89 min
#24 903 26 14 1.86 2 676 380 1,240 4,179 90 min
#25 932 26 21 1.24 0 295 80 1,340 308 87 min
#26 812 25 25 1.0 1 479 340 1,000 105 87 min
#27 1362 25 21 1.19 2 378 420 140 105 45 min
#28 1028 25 36 0.69 0 280 640 500 215 87 min
#29 920 21 11 1.91 0 408 340 620 150 61 min
#30 773 21 14 1.5 0 212 460 820 95 87 min
#31 771 21 12 1.75 0 197 540 500 175 60 min
#32 779 20 20 1.0 0 232 140 1,140 25 78 min
#33 690 19 13 1.46 0 593 340 760 703 74 min
#34 1182 19 7 2.71 0 304 300 300 60 37 min
#35 635 19 17 1.12 0 225 400 540 35 71 min
#36 751 18 22 0.82 0 602 460 420 80 58 min
#37 732 18 39 0.46 3 328 1,320 680 915 87 min
#38 719 17 6 2.83 0 1,263 960 700 615 87 min
#39 692 17 31 0.55 1 606 740 160 205 72 min
#40 646 17 21 0.81 0 275 1,020 480 885 87 min
#41 1110 17 11 1.55 0 148 60 620 85 43 min
#42 733 17 11 1.55 0 126 0 500 165 37 min
#43 664 16 16 1.0 0 343 160 400 150 64 min
#44 967 16 11 1.45 0 219 180 660 0 46 min
#45 928 16 9 1.78 0 126 20 200 0 18 min
#46 820 16 30 0.53 0 116 600 520 75 83 min
#47 603 15 11 1.36 1 288 360 540 15 87 min
#48 713 15 23 0.65 1 261 280 1,100 1,283 87 min
#49 1233 15 7 2.14 0 248 140 200 25 23 min
#50 603 15 20 0.75 1 212 600 760 140 79 min
#51 803 15 44 0.34 0 133 800 400 25 88 min
#52 983 14 12 1.17 0 321 140 560 685 48 min
#53 1090 13 25 0.52 2 423 480 320 230 55 min
#54 13 1 13.0 3 349 0 280 35 14 min
#55 780 13 22 0.59 1 307 640 640 491 79 min
#56 826 13 27 0.48 0 232 920 520 1,316 87 min
#57 849 13 25 0.52 0 214 220 580 10 66 min
#58 714 13 27 0.48 0 177 700 720 50 88 min
#59 914 13 8 1.62 0 142 0 640 25 42 min
#60 692 12 16 0.75 0 200 260 1,240 0 88 min
#61 712 12 21 0.57 0 145 80 940 70 69 min
#62 888 12 12 1.0 0 126 0 440 10 30 min
#63 748 11 11 1.0 0 195 180 80 5 24 min
#64 942 11 16 0.69 0 134 440 160 305 41 min
#65 666 11 29 0.38 1 114 460 960 585 88 min
#66 851 11 16 0.69 0 102 460 180 250 42 min
#67 772 11 37 0.3 0 97 320 960 2,150 87 min
#68 562 10 2 5.0 0 550 300 160 0 26 min
#69 910 10 10 1.0 0 434 120 540 85 41 min
#70 880 10 23 0.43 1 404 940 600 125 88 min
#71 632 10 21 0.48 0 266 780 480 345 88 min
#72 811 10 18 0.56 1 145 680 740 205 87 min
#73 1408 10 2 5.0 0 136 0 480 100 38 min
#74 745 10 23 0.43 0 111 640 860 1,054 87 min
#75 796 10 16 0.62 2 90 700 240 0 68 min
#76 712 9 6 1.5 2 377 180 1,020 165 68 min
#77 842 9 1 9.0 5 142 0 880 185 48 min
#78 900 9 6 1.5 0 84 120 320 80 29 min
#79 815 9 11 0.82 0 81 80 660 35 47 min
#80 661 8 14 0.57 0 272 60 900 265 63 min
#81 767 8 11 0.73 0 176 380 380 0 48 min
#82 783 8 10 0.8 1 131 380 260 5 40 min
#83 802 8 16 0.5 0 128 140 680 5 60 min
#84 1079 8 5 1.6 0 98 300 120 30 23 min
#85 1058 8 12 0.67 0 68 160 260 0 29 min
#86 746 7 7 1.0 0 307 140 380 15 33 min
#87 706 7 10 0.7 0 259 340 120 225 27 min
#88 817 7 12 0.58 0 173 260 420 155 48 min
#89 7 4 1.75 0 165 40 60 10 14 min
#90 843 7 15 0.47 0 82 420 260 90 46 min
#91 806 7 6 1.17 0 62 180 140 50 25 min
#92 801 7 5 1.4 0 58 380 200 0 47 min
#93 620 6 15 0.4 0 101 260 220 155 40 min
#94 794 6 11 0.55 1 62 120 360 165 36 min
#95 768 5 3 1.67 1 147 20 920 55 52 min
#96 555 5 31 0.16 0 147 500 840 1,500 87 min
#97 693 5 4 1.25 0 54 240 60 90 21 min
#98 5 4 1.25 0 51 120 120 118 15 min
#99 738 5 7 0.71 0 50 100 140 75 20 min
#100 892 5 4 1.25 1 39 100 200 150 18 min
#101 484 4 5 0.8 0 779 280 960 40 66 min
#102 560 4 22 0.18 0 289 420 1,060 2,266 89 min
#103 564 4 10 0.4 0 261 40 400 310 31 min
#104 827 4 6 0.67 0 116 80 440 20 31 min
#105 639 4 7 0.57 0 89 140 240 0 25 min
#106 666 4 13 0.31 0 63 540 100 20 42 min
#107 831 4 15 0.27 0 46 180 360 0 33 min
#108 623 4 2 2.0 0 45 0 260 0 18 min
#109 4 3 1.33 1 44 20 200 75 15 min
#110 687 4 11 0.36 3 41 320 260 335 43 min
#111 480 4 22 0.18 1 35 480 880 150 88 min
#112 621 3 11 0.27 0 108 120 320 135 34 min
#113 410 3 11 0.27 0 81 80 400 40 36 min
#114 3 2 1.5 1 78 280 40 309 85 min
#115 490 3 20 0.15 1 43 640 360 470 69 min
#116 784 3 3 1.0 1 37 40 260 40 20 min
#117 3 1 3.0 0 34 0 180 5 10 min
#118 3 4 0.75 1 33 80 60 75 15 min
#119 3 4 0.75 0 32 140 20 5 12 min
#120 3 5 0.6 0 30 120 0 0 13 min
#121 666 3 10 0.3 0 26 340 0 65 25 min
#122 593 2 14 0.14 0 132 240 260 5 31 min
#123 426 2 11 0.18 0 112 420 260 0 57 min
#124 2 2 1.0 0 78 20 220 75 87 min
#125 845 2 13 0.15 0 50 140 1,140 4,080 78 min
#126 624 2 1 2.0 4 22 0 320 265 24 min
#127 2 1 2.0 0 18 0 20 0 5 min
#128 2 6 0.33 0 17 100 20 0 90 min
#129 2 1 2.0 0 17 40 40 0 6 min
#130 707 1 10 0.1 2 76 340 240 0 40 min
#131 444 1 8 0.12 0 59 120 160 150 20 min
#132 697 1 8 0.12 0 19 220 60 0 29 min
#133 1 0 1.0 0 12 0 220 0 9 min
#134 1 6 0.17 1 12 40 80 0 12 min
#135 1 4 0.25 0 11 40 80 10 10 min
#136 1 1 1.0 0 10 60 0 0 6 min
#137 461 1 2 0.5 1 8 60 220 5 17 min
#138 1 2 0.5 0 7 0 120 0 8 min
#139 1 1 1.0 0 7 0 100 5 8 min
#140 1 0 1.0 0 7 20 60 0 6 min
#141 1 2 0.5 0 7 20 180 55 14 min
#142 483 1 2 0.5 0 4 40 340 150 24 min
#143 0 0 0.0 0 438 300 620 0 87 min
#144 0 0 0.0 0 148 400 380 410 0 min
#145 0 0 0.0 0 137 0 920 125 87 min
#146 682 0 4 0.0 0 53 120 300 75 29 min
#147 475 0 7 0.0 0 25 20 200 0 16 min
#148 588 0 14 0.0 1 15 120 760 230 58 min
#149 573 0 8 0.0 0 11 300 20 75 30 min
#150 0 2 0.0 0 8 0 180 0 13 min
#151 836 0 2 0.0 0 8 160 200 55 23 min
#152 0 2 0.0 0 7 0 160 0 13 min
#153 0 2 0.0 0 6 60 40 0 10 min
#154 0 2 0.0 0 6 20 100 5 8 min
#155 695 0 8 0.0 1 5 20 420 0 30 min
#156 0 1 0.0 0 4 40 0 0 4 min
#157 0 1 0.0 0 2 0 40 0 4 min
#158 0 4 0.0 0 2 20 120 5 14 min
#159 0 1 0.0 0 2 0 120 0 9 min
#160 0 1 0.0 0 1 0 0 0 7 min
#161 0 1 0.0 0 1 20 80 245 7 min
#162 0 1 0.0 0 0 0 0 0 2 min
#163 0 0 0.0 0 0 0 0 0 1 min
#164 0 0 0.0 0 0 0 0 0 1 min
#165 0 1 0.0 0 0 0 0 0 3 min
#166 0 0 0.0 0 0 0 60 0 5 min
#167 0 2 0.0 0 0 20 80 0 9 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 495 0 2 0.0 0 0 0 280 5 23 min
#170 0 1 0.0 0 0 0 80 0 9 min
#171 0 0 0.0 0 0 0 0 0 2 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 0 min
#175 0 0 0.0 0 0 0 20 0 3 min
#176 0 1 0.0 0 0 0 80 0 6 min
#177 0 0 0.0 0 0 0 0 0 1 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 1 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 40 0 4 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 1 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 1 0.0 0 0 0 80 0 4 min
#187 0 0 0.0 0 0 0 0 0 87 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 1 min
#192 0 0 0.0 0 0 0 0 0 1 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 1 0.0 0 0 0 0 5 17 min
#195 0 0 0.0 0 0 0 0 0 0 min
#196 0 1 0.0 0 0 0 0 0 3 min
#197 0 0 0.0 0 0 0 0 0 0 min
#198 0 0 0.0 0 0 0 0 0 2 min
#199 0 0 0.0 0 0 0 0 0 1 min
#200 0 0 0.0 0 0 0 0 0 3 min
#201 0 0 0.0 0 0 0 0 0 2 min
#202 0 0 0.0 0 0 0 0 0 1 min