carentan_warfare

Carentan Warfare Day

29.01.2026 00:36 | Vanguarda_2

Result

1:4

Allied wins

Players

188

Total Kills

2,225

Allied Kills

1,108

Axis Kills

1,117

Match Duration

92 min

Kills/Min

24.3

High Match ELO

Allies 1323.0 (all: 805.0)
Ø Match 1398.0
Axis 1472.0 (all: 899.0)
Imbalanced

Player Statistics (188)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1507 53 9 5.89 1 911 380 640 690 87 min
#2 1618 50 14 3.57 0 448 200 500 250 46 min
#3 614 49 7 7.0 6 772 400 1,140 105 87 min
#4 1355 48 38 1.26 0 1,104 140 940 20 78 min
#5 1414 48 14 3.43 0 869 600 240 2,070 64 min
#6 1162 47 13 3.62 0 1,992 1,240 320 3,797 89 min
#7 1431 46 19 2.42 0 617 480 360 185 87 min
#8 1186 43 24 1.79 1 402 200 1,220 587 87 min
#9 1485 41 31 1.32 1 652 440 400 225 88 min
#10 1577 40 11 3.64 1 458 80 560 2,128 40 min
#11 907 35 21 1.67 0 635 580 460 175 67 min
#12 871 34 15 2.27 0 358 120 1,360 5 88 min
#13 960 33 38 0.87 0 787 460 860 1,143 87 min
#14 986 33 21 1.57 0 610 300 840 410 74 min
#15 965 33 23 1.43 0 393 440 980 120 88 min
#16 1021 32 29 1.1 1 512 480 500 360 66 min
#17 669 32 27 1.19 0 415 1,180 260 60 87 min
#18 1034 31 20 1.55 0 612 840 280 606 87 min
#19 1219 31 30 1.03 1 332 480 360 585 57 min
#20 759 30 17 1.76 0 467 760 580 125 90 min
#21 829 29 21 1.38 0 294 260 1,040 1,020 82 min
#22 1155 29 20 1.45 0 271 800 180 75 64 min
#23 696 28 10 2.8 0 1,217 600 1,020 115 87 min
#24 883 28 27 1.04 2 894 320 920 35 82 min
#25 840 28 34 0.82 0 575 180 1,000 80 84 min
#26 1172 28 13 2.15 2 468 220 1,360 4,079 87 min
#27 818 28 36 0.78 1 453 440 700 0 90 min
#28 1262 28 14 2.0 0 427 200 380 15 44 min
#29 789 25 23 1.09 0 556 240 1,180 1,681 91 min
#30 1102 25 12 2.08 0 305 380 160 5 38 min
#31 959 24 25 0.96 1 324 400 860 1,175 85 min
#32 1296 24 22 1.09 0 311 500 140 15 47 min
#33 1017 23 17 1.35 0 592 480 180 80 44 min
#34 995 23 11 2.09 2 451 180 500 20 46 min
#35 703 23 18 1.28 0 428 880 620 776 87 min
#36 743 23 12 1.92 0 265 180 1,360 150 88 min
#37 512 22 27 0.81 0 311 140 1,080 40 75 min
#38 906 22 24 0.92 0 258 440 880 68 84 min
#39 1350 22 15 1.47 0 248 420 40 467 34 min
#40 713 22 26 0.85 0 227 1,020 300 25 87 min
#41 767 22 23 0.96 1 204 480 240 125 53 min
#42 1164 21 33 0.64 1 478 1,060 300 849 87 min
#43 845 21 32 0.66 4 467 500 980 1,177 88 min
#44 471 20 1 20.0 0 517 220 400 15 36 min
#45 1661 20 7 2.86 0 347 140 180 5 23 min
#46 753 20 24 0.83 0 331 180 1,120 75 82 min
#47 1036 20 22 0.91 1 290 200 620 0 54 min
#48 828 19 40 0.47 0 469 820 320 846 87 min
#49 801 19 14 1.36 0 221 260 380 5 91 min
#50 979 19 10 1.9 0 173 340 200 20 42 min
#51 710 18 19 0.95 0 553 160 600 50 48 min
#52 1197 18 16 1.12 0 154 0 740 940 49 min
#53 694 17 18 0.94 0 221 380 1,020 195 66 min
#54 622 17 19 0.89 0 148 860 620 330 88 min
#55 816 16 31 0.52 0 556 520 900 125 91 min
#56 1097 16 18 0.89 0 278 260 460 396 49 min
#57 1070 16 4 4.0 3 242 160 400 1,075 33 min
#58 892 16 10 1.6 0 136 280 460 160 50 min
#59 480 15 17 0.88 0 619 1,300 220 25 87 min
#60 761 15 19 0.79 0 517 480 1,020 2,318 87 min
#61 697 15 23 0.65 0 346 220 1,280 745 87 min
#62 838 15 22 0.68 1 206 620 440 25 67 min
#63 1610 15 6 2.5 0 195 80 340 718 28 min
#64 885 15 16 0.94 0 186 160 920 15 64 min
#65 640 14 21 0.67 0 206 460 1,020 40 91 min
#66 467 14 9 1.56 0 119 0 880 70 52 min
#67 1009 13 12 1.08 0 568 220 360 75 40 min
#68 1482 13 12 1.08 0 275 220 60 96 20 min
#69 649 13 24 0.54 0 116 520 800 145 88 min
#70 809 12 19 0.63 0 1,416 1,380 140 442 87 min
#71 565 12 24 0.5 2 334 160 1,140 555 88 min
#72 835 12 9 1.33 0 284 200 580 445 46 min
#73 547 12 23 0.52 0 170 440 660 45 80 min
#74 853 12 21 0.57 0 157 620 940 300 88 min
#75 12 6 2.0 0 110 120 100 0 48 min
#76 979 11 15 0.73 0 138 80 240 130 27 min
#77 624 11 22 0.5 0 118 560 680 40 84 min
#78 741 11 8 1.38 0 112 40 520 35 36 min
#79 384 11 31 0.35 0 106 640 400 45 87 min
#80 574 11 10 1.1 2 105 200 120 5 31 min
#81 671 11 17 0.65 0 96 480 420 0 56 min
#82 686 10 6 1.67 1 638 680 840 85 87 min
#83 700 10 13 0.77 0 295 60 320 185 26 min
#84 477 10 31 0.32 0 97 380 1,040 0 87 min
#85 496 9 22 0.41 0 338 260 1,180 505 87 min
#86 581 9 22 0.41 0 212 380 700 295 72 min
#87 945 9 3 3.0 0 102 420 140 10 33 min
#88 641 8 8 1.0 0 733 620 1,040 250 89 min
#89 534 8 38 0.21 0 275 520 640 150 89 min
#90 548 8 28 0.29 1 160 360 720 420 70 min
#91 559 8 36 0.22 0 145 560 600 15 87 min
#92 8 9 0.89 1 125 160 0 0 14 min
#93 8 5 1.6 0 93 20 240 165 17 min
#94 459 8 18 0.44 0 89 0 1,520 20 88 min
#95 755 8 6 1.33 0 79 280 140 75 31 min
#96 686 8 12 0.67 0 63 220 360 10 51 min
#97 669 7 17 0.41 0 386 860 300 861 90 min
#98 858 7 14 0.5 0 71 240 700 375 51 min
#99 7 3 2.33 0 70 160 0 30 12 min
#100 680 7 8 0.88 0 55 20 240 0 23 min
#101 729 6 9 0.67 0 156 100 340 75 29 min
#102 6 6 1.0 2 120 240 40 0 20 min
#103 559 6 28 0.21 0 90 760 380 422 77 min
#104 6 2 3.0 0 63 0 220 50 14 min
#105 819 6 6 1.0 0 46 60 280 0 28 min
#106 5 8 0.62 0 113 100 200 5 87 min
#107 1634 5 13 0.38 1 55 160 180 5 30 min
#108 5 9 0.56 0 52 220 0 140 17 min
#109 711 5 16 0.31 0 40 180 500 75 48 min
#110 660 4 3 1.33 0 1,039 380 660 90 58 min
#111 762 4 6 0.67 0 386 220 420 135 36 min
#112 850 4 13 0.31 0 190 180 240 0 31 min
#113 505 4 23 0.17 0 135 160 720 60 61 min
#114 478 4 15 0.27 0 116 220 740 460 87 min
#115 829 4 11 0.36 0 98 220 280 5 32 min
#116 4 6 0.67 0 89 60 120 75 19 min
#117 750 4 8 0.5 0 83 120 320 10 29 min
#118 661 4 9 0.44 0 44 120 360 25 33 min
#119 585 4 3 1.33 0 42 0 540 20 31 min
#120 612 4 10 0.4 0 41 200 240 5 28 min
#121 4 3 1.33 0 39 40 80 75 9 min
#122 466 4 8 0.5 0 29 200 380 85 36 min
#123 642 3 5 0.6 0 107 20 420 1,544 23 min
#124 599 3 9 0.33 0 49 0 640 485 42 min
#125 3 5 0.6 0 32 100 20 5 12 min
#126 804 3 5 0.6 1 28 480 80 0 39 min
#127 968 3 11 0.27 0 27 300 80 155 27 min
#128 747 2 5 0.4 0 441 160 420 180 43 min
#129 836 2 5 0.4 1 115 160 260 730 24 min
#130 599 2 10 0.2 0 85 140 120 0 25 min
#131 2 3 0.67 0 74 0 200 5 12 min
#132 765 2 6 0.33 0 22 40 120 80 21 min
#133 2 7 0.29 0 16 0 240 180 87 min
#134 2 0 2.0 0 14 0 220 0 12 min
#135 474 2 6 0.33 1 13 140 60 5 25 min
#136 1 2 0.5 0 32 40 80 95 8 min
#137 1 1 1.0 0 17 0 60 0 3 min
#138 755 1 3 0.33 0 17 100 160 25 25 min
#139 1 5 0.2 0 13 80 160 0 14 min
#140 1 4 0.25 0 12 80 100 20 14 min
#141 1 9 0.11 0 12 80 180 0 19 min
#142 1 2 0.5 0 11 40 200 0 13 min
#143 1 1 1.0 0 11 40 0 0 3 min
#144 1 2 0.5 0 11 0 40 5 7 min
#145 1 1 1.0 0 11 0 60 0 3 min
#146 1 2 0.5 0 8 80 80 65 12 min
#147 1 5 0.2 0 7 100 60 0 12 min
#148 0 0 0.0 0 234 120 260 55 21 min
#149 0 0 0.0 0 155 0 240 25 14 min
#150 0 0 0.0 0 119 40 460 0 0 min
#151 0 4 0.0 0 50 60 80 0 73 min
#152 710 0 7 0.0 0 6 100 260 5 29 min
#153 0 1 0.0 0 3 40 0 0 3 min
#154 0 2 0.0 0 3 80 0 0 9 min
#155 817 0 5 0.0 0 2 380 980 730 90 min
#156 0 1 0.0 0 2 0 60 30 4 min
#157 0 3 0.0 0 2 80 0 0 6 min
#158 382 0 3 0.0 0 1 0 360 0 20 min
#159 0 2 0.0 0 1 80 0 5 6 min
#160 0 2 0.0 0 1 80 0 0 14 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 0 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 5 0.0 0 0 80 0 0 8 min
#166 0 0 0.0 0 0 0 0 0 1 min
#167 0 0 0.0 0 0 0 0 0 1 min
#168 0 0 0.0 0 0 0 40 0 4 min
#169 529 0 3 0.0 0 0 80 100 0 33 min
#170 0 0 0.0 0 0 0 0 0 25 min
#171 0 2 0.0 0 0 0 0 0 9 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 2 min
#175 0 0 0.0 0 0 0 0 0 4 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 1 0.0 0 0 0 20 0 3 min
#178 0 0 0.0 0 0 0 0 0 12 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 1 0.0 0 0 0 60 117 3 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 0 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 1 min
#188 0 0 0.0 0 0 0 0 0 0 min