carentan_warfare

Carentan Warfare Day

21.01.2026 23:18 | Vanguarda_2

Result

5:0

Axis wins

Players

154

Total Kills

1,308

Allied Kills

636

Axis Kills

670

Match Duration

74 min

Kills/Min

17.6

High Match ELO

Allies 1223.0 (all: 829.0)
Ø Match 1264.0
Axis 1306.0 (all: 864.0)

Player Statistics (154)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1793 75 28 2.68 0 1,350 380 840 820 70 min
#2 1506 72 24 3.0 0 625 460 460 10 61 min
#3 1165 68 15 4.53 0 554 560 400 115 57 min
#4 1397 47 34 1.38 0 963 100 880 135 70 min
#5 1580 44 15 2.93 0 736 60 1,200 3,704 70 min
#6 1080 42 19 2.21 0 422 320 840 135 70 min
#7 1260 38 33 1.15 0 573 340 680 355 70 min
#8 1257 35 31 1.13 1 608 640 540 1,967 70 min
#9 1675 30 13 2.31 0 226 240 120 45 26 min
#10 886 27 35 0.77 0 283 640 460 670 70 min
#11 1017 25 20 1.25 0 503 380 780 3,450 70 min
#12 1690 23 10 2.3 1 327 240 160 715 34 min
#13 995 23 24 0.96 0 298 620 400 205 65 min
#14 1263 22 8 2.75 0 159 220 140 5 70 min
#15 686 20 23 0.87 0 226 300 360 75 45 min
#16 966 19 9 2.11 1 228 160 300 15 25 min
#17 861 18 17 1.06 0 204 220 660 20 52 min
#18 584 18 30 0.6 0 184 160 780 175 62 min
#19 1113 17 17 1.0 1 464 300 240 20 44 min
#20 855 17 11 1.55 0 443 220 340 10 34 min
#21 817 17 12 1.42 0 203 160 580 200 45 min
#22 847 16 19 0.84 0 359 100 600 60 53 min
#23 581 16 18 0.89 0 285 280 600 80 60 min
#24 1191 16 25 0.64 0 166 260 500 350 49 min
#25 693 15 13 1.15 0 227 440 400 15 51 min
#26 773 15 14 1.07 1 162 60 360 15 31 min
#27 875 15 2 7.5 0 136 220 0 5 22 min
#28 1130 14 9 1.56 0 210 160 260 30 28 min
#29 804 14 24 0.58 0 166 100 1,140 742 70 min
#30 648 14 4 3.5 0 131 160 160 25 22 min
#31 765 14 19 0.74 0 127 240 380 0 39 min
#32 1099 14 12 1.17 0 118 140 160 75 23 min
#33 1118 14 15 0.93 0 85 40 260 150 49 min
#34 13 7 1.86 0 242 100 80 423 17 min
#35 953 13 4 3.25 0 157 460 140 352 33 min
#36 817 13 14 0.93 0 118 780 0 20 48 min
#37 1011 13 7 1.86 1 110 260 140 160 23 min
#38 1007 12 5 2.4 0 351 220 160 0 26 min
#39 900 12 18 0.67 0 217 140 700 526 50 min
#40 718 12 15 0.8 1 170 120 720 20 50 min
#41 803 12 9 1.33 0 130 0 700 1,045 46 min
#42 970 12 4 3.0 0 103 20 380 25 32 min
#43 11 9 1.22 0 244 60 140 0 14 min
#44 707 11 11 1.0 1 204 0 580 5 37 min
#45 826 11 12 0.92 0 128 0 720 502 45 min
#46 614 10 1 10.0 1 85 160 200 0 23 min
#47 10 13 0.77 0 76 120 80 250 18 min
#48 906 10 6 1.67 0 72 200 160 80 22 min
#49 901 9 9 1.0 0 117 160 200 15 22 min
#50 873 9 18 0.5 1 108 320 380 40 44 min
#51 707 9 12 0.75 0 83 120 240 0 28 min
#52 572 8 35 0.23 0 150 460 320 15 70 min
#53 517 8 14 0.57 0 77 200 200 15 27 min
#54 833 7 6 1.17 0 67 0 400 35 23 min
#55 884 7 4 1.75 0 65 0 200 25 22 min
#56 675 7 2 3.5 0 57 160 360 5 28 min
#57 764 6 11 0.55 0 228 160 500 260 37 min
#58 925 6 3 2.0 0 169 100 320 645 25 min
#59 741 6 16 0.38 0 151 100 580 5 44 min
#60 6 6 1.0 0 87 20 180 5 17 min
#61 728 6 8 0.75 0 74 60 200 20 23 min
#62 737 6 12 0.5 0 69 100 160 55 26 min
#63 569 6 10 0.6 0 63 220 200 15 27 min
#64 6 4 1.5 0 56 100 100 30 17 min
#65 696 6 20 0.3 0 54 200 300 85 34 min
#66 679 5 13 0.38 0 99 120 420 5 45 min
#67 768 5 16 0.31 0 56 100 500 40 45 min
#68 579 5 14 0.36 0 52 320 140 70 32 min
#69 481 5 8 0.62 0 50 280 380 175 44 min
#70 689 5 6 0.83 0 50 40 220 5 21 min
#71 572 5 12 0.42 0 46 140 200 0 26 min
#72 834 5 5 1.0 1 41 460 220 10 39 min
#73 5 4 1.25 0 37 0 80 0 8 min
#74 817 4 14 0.29 0 795 920 0 311 59 min
#75 677 4 7 0.57 0 241 40 300 10 22 min
#76 662 4 10 0.4 1 97 300 80 5 30 min
#77 4 4 1.0 0 71 60 120 10 11 min
#78 425 4 22 0.18 0 66 380 220 225 45 min
#79 720 4 7 0.57 0 57 40 600 100 41 min
#80 547 4 18 0.22 0 55 0 540 135 38 min
#81 600 4 5 0.8 0 41 20 380 5 29 min
#82 4 4 1.0 0 37 60 20 0 6 min
#83 4 3 1.33 0 32 120 20 0 11 min
#84 748 4 6 0.67 0 30 100 160 5 29 min
#85 4 2 2.0 0 29 140 80 10 15 min
#86 576 3 5 0.6 0 78 120 500 0 37 min
#87 568 3 4 0.75 0 40 60 320 0 31 min
#88 525 3 11 0.27 0 31 200 220 0 32 min
#89 551 3 21 0.14 0 31 20 380 230 29 min
#90 773 3 8 0.38 0 28 260 20 0 28 min
#91 3 3 1.0 0 24 0 60 0 7 min
#92 1019 3 13 0.23 0 23 0 940 1,808 55 min
#93 2 1 2.0 1 126 0 100 845 7 min
#94 2 4 0.5 0 30 0 100 0 9 min
#95 752 2 2 1.0 0 30 200 220 10 26 min
#96 611 2 15 0.13 0 27 100 720 565 48 min
#97 2 1 2.0 0 26 0 80 75 6 min
#98 1010 2 14 0.14 0 26 120 120 0 21 min
#99 2 1 2.0 0 23 0 100 0 7 min
#100 2 4 0.5 0 22 80 0 0 8 min
#101 2 4 0.5 0 19 120 60 0 14 min
#102 2 0 2.0 0 17 0 40 0 7 min
#103 2 1 2.0 0 15 0 20 0 2 min
#104 2 2 1.0 0 14 120 0 0 10 min
#105 1 9 0.11 0 15 80 100 0 14 min
#106 1 1 1.0 0 14 0 20 0 3 min
#107 1 1 1.0 0 12 40 140 0 9 min
#108 1 3 0.33 0 11 0 220 225 14 min
#109 1 7 0.14 0 11 180 20 0 16 min
#110 782 1 4 0.25 0 10 140 200 225 21 min
#111 1 3 0.33 0 8 40 20 0 6 min
#112 1 6 0.17 0 4 40 100 0 16 min
#113 0 0 0.0 0 10 0 20 0 3 min
#114 0 0 0.0 0 9 60 40 0 8 min
#115 0 1 0.0 0 8 0 160 0 10 min
#116 0 5 0.0 0 6 0 100 160 8 min
#117 0 5 0.0 0 6 100 60 0 11 min
#118 0 0 0.0 0 2 0 60 300 6 min
#119 0 4 0.0 0 2 0 100 0 11 min
#120 0 1 0.0 0 2 0 0 5 0 min
#121 424 0 12 0.0 0 1 0 260 0 24 min
#122 0 9 0.0 1 1 40 80 75 18 min
#123 0 4 0.0 0 1 60 120 0 14 min
#124 0 1 0.0 0 1 0 260 0 15 min
#125 0 2 0.0 0 1 0 180 0 13 min
#126 0 2 0.0 0 0 0 300 15 20 min
#127 0 0 0.0 0 0 0 0 0 0 min
#128 0 0 0.0 0 0 0 0 0 0 min
#129 0 0 0.0 0 0 0 0 0 1 min
#130 0 0 0.0 0 0 0 0 0 0 min
#131 0 0 0.0 0 0 0 0 0 0 min
#132 0 0 0.0 0 0 0 0 0 0 min
#133 0 0 0.0 0 0 0 0 0 0 min
#134 0 0 0.0 0 0 0 0 0 0 min
#135 0 0 0.0 0 0 0 0 0 4 min
#136 0 0 0.0 0 0 0 0 0 0 min
#137 0 0 0.0 0 0 0 0 0 1 min
#138 0 0 0.0 0 0 0 0 0 2 min
#139 0 0 0.0 0 0 0 0 0 8 min
#140 0 2 0.0 0 0 0 20 0 3 min
#141 0 0 0.0 0 0 0 0 0 1 min
#142 0 0 0.0 0 0 0 0 0 1 min
#143 0 0 0.0 0 0 0 0 0 0 min
#144 0 0 0.0 0 0 0 0 0 70 min
#145 0 0 0.0 0 0 0 0 0 1 min
#146 0 1 0.0 0 0 0 20 0 3 min
#147 0 0 0.0 0 0 0 0 0 3 min
#148 0 2 0.0 0 0 60 20 0 8 min
#149 0 0 0.0 0 0 0 0 0 7 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 0 0 70 min
#152 0 0 0.0 0 0 0 0 0 1 min
#153 791 0 2 0.0 0 0 340 0 0 35 min
#154 0 0 0.0 0 0 140 40 10 15 min