carentan_warfare_night

Carentan Warfare Night

14.08.2026 23:02 | For Tea & Country [EU|ENG] New Player Friendly

Result

2:3

Allied wins

Players

178

Total Kills

2,110

Allied Kills

967

Axis Kills

1,143

Match Duration

90 min

Kills/Min

23.4

Normal Match ELO

Allies 1170.0 (all: 794.0)
Ø Match 1154.0
Axis 1137.0 (all: 795.0)

Player Statistics (178)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1541 63 35 1.8 2 1,060 520 800 577 85 min
#2 1318 56 32 1.75 0 1,446 680 600 530 85 min
#3 1478 51 12 4.25 1 1,236 560 940 5 85 min
#4 1182 48 24 2.0 1 795 520 620 20 80 min
#5 726 46 9 5.11 5 481 340 1,260 55 85 min
#6 823 45 6 7.5 1 1,242 240 1,260 165 85 min
#7 1137 44 24 1.83 1 687 960 540 675 85 min
#8 1196 44 27 1.63 0 556 380 860 875 83 min
#9 1045 42 26 1.62 0 745 400 1,040 470 85 min
#10 875 42 28 1.5 0 470 360 820 230 85 min
#11 1024 39 30 1.3 0 659 440 820 250 81 min
#12 1463 39 10 3.9 1 471 120 480 165 36 min
#13 725 38 4 9.5 2 428 260 1,100 215 73 min
#14 788 36 21 1.71 0 429 360 1,040 1,303 83 min
#15 912 35 13 2.69 0 418 700 640 95 73 min
#16 1133 35 26 1.35 1 383 200 900 1,164 66 min
#17 908 34 16 2.12 0 518 800 500 120 75 min
#18 855 31 44 0.7 0 1,026 560 660 135 85 min
#19 752 31 24 1.29 0 461 420 720 110 85 min
#20 1018 30 22 1.36 0 517 580 980 2,332 85 min
#21 743 30 16 1.88 2 451 40 1,200 505 85 min
#22 843 30 21 1.43 0 449 320 1,140 610 85 min
#23 694 30 22 1.36 0 297 240 1,180 235 85 min
#24 813 29 5 5.8 1 1,942 840 820 185 85 min
#25 913 29 5 5.8 0 1,885 840 580 45 76 min
#26 1069 29 20 1.45 0 634 660 420 30 64 min
#27 733 29 20 1.45 1 356 600 520 50 73 min
#28 817 28 21 1.33 1 728 660 640 70 85 min
#29 752 28 46 0.61 6 517 560 780 1,155 85 min
#30 1114 28 38 0.74 1 408 500 860 1,153 85 min
#31 903 25 23 1.09 0 244 340 740 75 71 min
#32 817 25 29 0.86 0 243 460 860 215 88 min
#33 790 23 32 0.72 0 532 500 800 750 86 min
#34 906 23 31 0.74 0 412 640 800 3,225 85 min
#35 636 23 1 23.0 6 154 300 980 1,838 67 min
#36 771 22 18 1.22 0 494 880 640 665 85 min
#37 889 22 12 1.83 1 251 680 880 294 85 min
#38 646 22 25 0.88 0 231 460 840 725 84 min
#39 1131 21 29 0.72 0 398 640 500 870 69 min
#40 951 21 18 1.17 0 378 600 380 80 59 min
#41 880 21 24 0.88 0 206 160 780 75 64 min
#42 806 20 24 0.83 0 610 500 560 15 71 min
#43 1158 20 25 0.8 0 299 20 1,400 2,224 85 min
#44 783 20 14 1.43 0 281 720 580 15 83 min
#45 667 19 5 3.8 1 1,251 860 720 15 87 min
#46 668 19 23 0.83 0 234 720 760 55 85 min
#47 857 19 25 0.76 0 183 320 980 686 85 min
#48 748 18 22 0.82 0 221 500 920 680 85 min
#49 617 17 11 1.55 0 348 700 840 145 85 min
#50 857 16 8 2.0 0 1,657 1,340 260 280 85 min
#51 765 16 22 0.73 0 246 480 180 155 49 min
#52 505 16 25 0.64 0 231 420 900 20 87 min
#53 621 16 34 0.47 2 201 320 820 80 83 min
#54 630 15 10 1.5 3 190 780 600 95 81 min
#55 635 15 21 0.71 0 131 220 1,000 960 85 min
#56 622 15 17 0.88 0 126 700 640 30 83 min
#57 693 14 18 0.78 0 288 640 820 145 85 min
#58 736 14 16 0.88 0 223 620 740 391 88 min
#59 537 14 19 0.74 0 145 540 360 10 58 min
#60 853 14 14 1.0 0 141 180 380 90 41 min
#61 631 14 24 0.58 0 129 340 1,000 970 85 min
#62 613 13 18 0.72 2 647 440 380 5 62 min
#63 783 13 25 0.52 0 299 360 540 90 64 min
#64 790 13 12 1.08 0 214 460 820 459 72 min
#65 729 13 18 0.72 0 195 160 1,280 590 85 min
#66 548 12 29 0.41 1 465 580 840 90 85 min
#67 875 12 11 1.09 1 143 20 580 150 41 min
#68 821 12 5 2.4 0 123 60 280 5 30 min
#69 652 11 16 0.69 3 305 640 900 570 85 min
#70 622 11 17 0.65 0 223 640 820 75 88 min
#71 1231 11 8 1.38 0 195 300 160 927 26 min
#72 874 11 33 0.33 0 122 600 500 235 80 min
#73 1012 10 23 0.43 0 181 720 780 1,958 85 min
#74 729 10 25 0.4 0 106 140 900 970 68 min
#75 809 9 10 0.9 1 244 380 820 855 69 min
#76 597 9 5 1.8 0 142 480 60 135 41 min
#77 685 9 15 0.6 1 121 100 1,520 4,052 85 min
#78 819 9 12 0.75 0 94 300 380 805 43 min
#79 678 8 29 0.28 0 280 400 1,020 687 85 min
#80 674 8 36 0.22 2 257 420 960 430 85 min
#81 880 8 12 0.67 0 210 40 500 265 36 min
#82 640 8 22 0.36 0 151 240 640 50 63 min
#83 476 8 20 0.4 0 100 340 1,160 105 88 min
#84 8 2 4.0 0 82 160 40 125 15 min
#85 635 8 29 0.28 0 81 540 980 2,925 85 min
#86 8 3 2.67 0 75 60 160 5 15 min
#87 769 8 30 0.27 0 75 660 620 95 84 min
#88 574 8 13 0.62 0 75 500 740 10 71 min
#89 649 7 14 0.5 0 100 100 400 30 35 min
#90 560 7 29 0.24 0 81 600 720 215 85 min
#91 7 2 3.5 0 63 60 80 10 9 min
#92 789 6 7 0.86 0 904 1,460 220 15 85 min
#93 556 6 3 2.0 0 215 420 480 1,394 57 min
#94 672 5 5 1.0 1 1,230 860 720 25 85 min
#95 659 5 7 0.71 1 892 260 1,280 145 86 min
#96 5 3 1.67 0 186 40 180 0 14 min
#97 974 5 11 0.45 0 49 300 260 444 38 min
#98 655 5 11 0.45 0 47 280 200 20 34 min
#99 5 1 5.0 0 42 40 40 30 5 min
#100 870 4 5 0.8 0 497 420 100 417 29 min
#101 766 4 9 0.44 0 144 240 60 260 23 min
#102 512 4 22 0.18 0 86 640 400 230 67 min
#103 4 4 1.0 0 44 0 140 0 12 min
#104 746 4 9 0.44 0 35 40 220 100 20 min
#105 846 4 5 0.8 0 28 420 40 30 25 min
#106 639 3 20 0.15 1 38 260 800 922 66 min
#107 499 3 7 0.43 0 33 140 140 0 29 min
#108 3 1 3.0 0 33 0 240 25 16 min
#109 940 3 7 0.43 0 28 40 420 85 34 min
#110 3 2 1.5 0 28 0 200 0 11 min
#111 602 3 8 0.38 0 26 480 200 60 43 min
#112 3 4 0.75 2 25 0 260 167 16 min
#113 667 2 8 0.25 0 1,930 880 740 236 87 min
#114 524 2 3 0.67 1 1,104 120 840 120 51 min
#115 547 2 7 0.29 0 95 40 600 410 40 min
#116 2 6 0.33 0 68 120 100 0 15 min
#117 2 4 0.5 0 35 0 240 20 16 min
#118 534 2 10 0.2 0 24 300 60 10 22 min
#119 716 2 9 0.22 0 23 80 180 0 22 min
#120 2 3 0.67 0 20 120 80 5 19 min
#121 2 2 1.0 0 18 0 60 25 7 min
#122 2 5 0.4 0 17 40 140 5 15 min
#123 2 6 0.33 1 15 0 200 106 15 min
#124 2 1 2.0 1 15 0 60 0 5 min
#125 517 2 12 0.17 0 0 0 600 1,230 56 min
#126 412 1 21 0.05 0 28 380 920 940 85 min
#127 1 1 1.0 0 11 20 0 0 3 min
#128 961 1 11 0.09 0 10 60 220 5 22 min
#129 1 1 1.0 0 10 0 20 0 2 min
#130 1 7 0.14 0 9 20 180 0 20 min
#131 638 1 6 0.17 0 8 200 140 10 22 min
#132 491 1 5 0.2 0 7 280 200 165 40 min
#133 1 2 0.5 0 7 0 40 0 7 min
#134 1 0 1.0 0 6 0 0 0 1 min
#135 1 6 0.17 0 5 60 240 750 20 min
#136 0 2 0.0 0 50 100 20 0 11 min
#137 0 1 0.0 0 50 0 140 0 23 min
#138 0 2 0.0 0 7 180 120 5 19 min
#139 0 2 0.0 0 5 120 80 0 14 min
#140 0 5 0.0 0 4 220 40 0 19 min
#141 0 3 0.0 0 3 0 160 100 12 min
#142 0 1 0.0 0 2 0 60 0 4 min
#143 0 1 0.0 0 1 20 100 0 7 min
#144 562 0 2 0.0 0 1 0 220 10 23 min
#145 0 0 0.0 0 1 0 0 0 3 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 3 0.0 0 0 0 180 0 14 min
#150 0 0 0.0 0 0 60 0 0 5 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 80 110 3 min
#153 0 3 0.0 1 0 0 220 0 15 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 3 0.0 0 0 0 200 70 16 min
#156 0 0 0.0 0 0 0 0 0 10 min
#157 0 0 0.0 0 0 0 0 0 10 min
#158 0 0 0.0 0 0 0 0 0 0 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 2 min
#162 0 0 0.0 0 0 0 80 0 7 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 3 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 3 0.0 0 0 100 0 0 15 min
#167 0 0 0.0 0 0 0 0 0 10 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 0 0 2 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 1 0.0 0 0 60 20 0 16 min
#173 0 0 0.0 0 0 20 20 0 7 min
#174 0 0 0.0 0 0 0 0 0 0 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 2 0.0 0 0 20 100 0 8 min
#178 0 0 0.0 0 0 0 0 0 5 min