carentan_warfare

Carentan Warfare Day

04.04.2026 23:19 | Oktogon_3

Result

1:4

Allied wins

Players

203

Total Kills

2,109

Allied Kills

1,011

Axis Kills

1,098

Match Duration

90 min

Kills/Min

23.4

High Match ELO

Allies 1245.0 (all: 807.0)
Ø Match 1388.0
Axis 1532.0 (all: 845.0)
Highly imbalanced

Player Statistics (203)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 2100 129 41 3.15 1 1,700 680 600 240 84 min
#2 1909 119 37 3.22 1 1,484 780 560 2,090 85 min
#3 2004 83 40 2.08 0 1,780 560 680 436 85 min
#4 1480 73 45 1.62 1 1,280 620 380 390 75 min
#5 1149 69 20 3.45 0 1,191 1,160 380 245 85 min
#6 596 53 7 7.57 0 1,915 320 1,300 230 85 min
#7 1091 51 15 3.4 0 1,451 1,240 360 1,151 85 min
#8 542 46 5 9.2 2 1,216 160 1,420 75 85 min
#9 955 46 10 4.6 5 379 180 1,440 6,535 85 min
#10 1796 45 16 2.81 0 516 420 180 5 40 min
#11 1114 44 36 1.22 2 853 260 1,060 770 85 min
#12 858 43 20 2.15 0 423 700 780 360 85 min
#13 1777 40 20 2.0 4 584 500 80 95 47 min
#14 899 39 20 1.95 2 533 0 1,340 2,247 84 min
#15 674 36 31 1.16 0 352 40 1,240 285 85 min
#16 1134 35 21 1.67 0 405 860 240 180 67 min
#17 947 33 24 1.38 0 588 340 1,100 155 85 min
#18 1190 33 20 1.65 0 574 100 460 120 41 min
#19 693 32 20 1.6 0 456 500 480 30 60 min
#20 1012 30 18 1.67 1 645 140 360 160 36 min
#21 1164 30 20 1.5 0 348 180 480 95 45 min
#22 1063 29 4 7.25 0 472 140 680 135 47 min
#23 820 28 24 1.17 0 573 400 1,080 260 85 min
#24 1260 28 19 1.47 0 376 460 240 15 45 min
#25 1004 28 30 0.93 3 287 600 740 446 85 min
#26 994 27 9 3.0 5 297 0 1,000 115 54 min
#27 1116 26 11 2.36 1 455 440 280 150 47 min
#28 1049 25 23 1.09 0 607 140 1,300 612 85 min
#29 1760 25 14 1.79 0 526 360 160 205 33 min
#30 785 24 34 0.71 1 301 720 460 250 85 min
#31 1065 23 25 0.92 0 377 380 340 1,980 50 min
#32 659 22 13 1.69 0 1,426 1,420 180 15 85 min
#33 1359 21 14 1.5 0 431 100 520 235 41 min
#34 1276 20 13 1.54 0 295 480 300 395 45 min
#35 703 19 42 0.45 1 177 100 1,020 270 85 min
#36 665 18 12 1.5 0 1,749 1,380 200 295 85 min
#37 1048 18 12 1.5 1 448 100 300 10 29 min
#38 643 18 20 0.9 0 231 200 820 547 64 min
#39 780 17 29 0.59 0 186 720 720 1,230 85 min
#40 720 17 11 1.55 0 174 120 200 115 24 min
#41 845 17 25 0.68 1 167 160 1,280 1,700 85 min
#42 923 17 17 1.0 0 157 500 300 30 55 min
#43 1431 16 11 1.45 0 277 140 300 135 28 min
#44 567 16 14 1.14 2 266 540 1,200 255 77 min
#45 662 15 10 1.5 0 1,497 1,400 160 45 85 min
#46 796 15 26 0.58 1 175 60 1,240 190 85 min
#47 969 14 9 1.56 0 325 600 500 240 61 min
#48 596 14 37 0.38 0 202 80 1,280 1,040 85 min
#49 705 14 18 0.78 1 182 220 600 105 56 min
#50 991 13 27 0.48 4 182 40 560 80 49 min
#51 732 13 30 0.43 1 145 740 480 145 85 min
#52 680 13 13 1.0 0 137 120 500 330 52 min
#53 823 13 18 0.72 0 133 200 540 218 49 min
#54 808 12 16 0.75 3 293 460 140 0 45 min
#55 637 12 37 0.32 0 287 420 860 1,266 85 min
#56 552 12 16 0.75 1 234 220 1,080 475 56 min
#57 947 12 18 0.67 0 180 200 260 0 37 min
#58 888 12 17 0.71 0 139 600 180 60 51 min
#59 769 12 23 0.52 0 129 340 420 55 54 min
#60 665 12 31 0.39 0 113 160 1,160 1,845 85 min
#61 693 11 18 0.61 3 1,150 220 1,120 833 83 min
#62 547 11 23 0.48 0 145 520 860 1,155 85 min
#63 693 11 12 0.92 0 112 80 380 35 33 min
#64 727 10 16 0.62 0 172 40 420 760 35 min
#65 555 10 26 0.38 0 81 140 1,160 170 85 min
#66 764 9 10 0.9 0 291 20 300 115 24 min
#67 757 9 7 1.29 3 148 400 740 132 63 min
#68 807 9 11 0.82 1 128 660 120 494 47 min
#69 588 9 20 0.45 0 111 740 220 402 63 min
#70 584 9 19 0.47 0 82 220 540 10 48 min
#71 730 7 10 0.7 0 1,433 1,380 220 365 85 min
#72 845 7 8 0.88 0 140 120 640 596 49 min
#73 722 7 14 0.5 0 106 80 440 5 37 min
#74 768 7 7 1.0 0 77 0 380 175 31 min
#75 883 7 22 0.32 0 75 80 660 775 56 min
#76 774 6 13 0.46 2 844 140 1,380 210 85 min
#77 634 6 16 0.38 0 175 260 400 460 45 min
#78 729 6 29 0.21 0 171 400 360 455 55 min
#79 603 6 22 0.27 0 110 200 740 222 64 min
#80 638 6 18 0.33 0 86 480 220 195 51 min
#81 640 6 17 0.35 0 70 80 680 150 54 min
#82 595 5 25 0.2 0 213 520 1,600 1,987 85 min
#83 487 5 9 0.56 0 198 300 120 75 29 min
#84 709 5 13 0.38 0 138 0 900 2,312 55 min
#85 510 5 26 0.19 0 117 260 1,020 1,365 82 min
#86 5 5 1.0 0 90 100 80 20 14 min
#87 913 5 20 0.25 0 73 100 380 225 37 min
#88 5 4 1.25 0 53 60 220 85 19 min
#89 5 1 5.0 0 46 60 60 0 10 min
#90 819 5 4 1.25 0 40 60 180 170 24 min
#91 542 4 15 0.27 0 62 360 380 260 52 min
#92 4 1 4.0 0 60 0 40 0 4 min
#93 485 4 26 0.15 0 48 120 1,180 1,405 85 min
#94 4 4 1.0 0 42 60 40 0 10 min
#95 580 4 15 0.27 0 40 20 440 150 34 min
#96 438 4 25 0.16 0 39 0 1,380 622 85 min
#97 4 6 0.67 1 35 60 140 45 15 min
#98 728 3 3 1.0 2 679 180 440 255 35 min
#99 636 3 7 0.43 0 91 160 400 1,387 37 min
#100 737 3 6 0.5 1 87 340 760 125 63 min
#101 426 3 25 0.12 0 52 360 400 150 59 min
#102 627 3 6 0.5 0 39 0 260 190 25 min
#103 793 3 12 0.25 0 34 20 140 80 21 min
#104 385 3 19 0.16 0 31 360 360 540 52 min
#105 3 3 1.0 0 25 60 20 0 6 min
#106 3 1 3.0 0 24 240 0 5 15 min
#107 3 6 0.5 0 20 20 160 0 15 min
#108 525 2 12 0.17 0 81 20 280 140 27 min
#109 424 2 20 0.1 0 28 420 340 355 51 min
#110 2 4 0.5 0 24 0 140 5 9 min
#111 354 2 31 0.06 1 20 540 900 1,195 85 min
#112 761 1 11 0.09 0 1,724 320 1,240 300 85 min
#113 417 1 9 0.11 0 70 0 340 445 62 min
#114 345 1 23 0.04 0 29 60 1,240 620 85 min
#115 651 1 13 0.08 0 24 340 260 10 40 min
#116 1 3 0.33 0 18 140 40 0 12 min
#117 1 6 0.17 0 16 60 160 10 14 min
#118 1 4 0.25 0 15 20 220 140 15 min
#119 1 4 0.25 0 14 20 100 0 15 min
#120 500 1 11 0.09 0 12 60 260 220 23 min
#121 1 5 0.2 0 10 0 40 0 7 min
#122 1 2 0.5 0 10 100 20 10 7 min
#123 1 1 1.0 0 9 0 20 0 5 min
#124 552 1 4 0.25 0 9 100 200 775 20 min
#125 639 0 6 0.0 2 1,010 140 1,480 85 85 min
#126 765 0 2 0.0 0 369 40 680 260 43 min
#127 852 0 2 0.0 0 367 40 640 100 45 min
#128 0 0 0.0 0 95 60 640 608 0 min
#129 0 3 0.0 0 13 60 20 0 14 min
#130 726 0 4 0.0 0 11 100 180 0 21 min
#131 0 1 0.0 0 8 0 40 0 4 min
#132 0 5 0.0 1 5 40 100 136 11 min
#133 0 4 0.0 0 5 0 180 0 11 min
#134 0 3 0.0 0 5 140 20 75 11 min
#135 0 1 0.0 0 4 40 20 0 5 min
#136 0 0 0.0 0 2 20 20 0 5 min
#137 0 3 0.0 0 1 0 40 0 10 min
#138 0 7 0.0 0 1 20 60 0 16 min
#139 0 0 0.0 0 0 0 0 0 7 min
#140 0 0 0.0 0 0 0 0 0 22 min
#141 0 1 0.0 0 0 0 0 0 1 min
#142 0 4 0.0 1 0 0 20 0 7 min
#143 0 0 0.0 0 0 0 20 0 2 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 0 0.0 0 0 0 0 0 8 min
#146 0 1 0.0 0 0 0 160 0 11 min
#147 0 0 0.0 0 0 0 0 0 20 min
#148 0 0 0.0 0 0 0 20 0 2 min
#149 0 0 0.0 0 0 0 0 0 3 min
#150 0 0 0.0 0 0 0 0 0 1 min
#151 0 0 0.0 0 0 0 0 0 22 min
#152 0 0 0.0 0 0 0 0 0 17 min
#153 0 0 0.0 0 0 0 0 0 23 min
#154 0 0 0.0 0 0 20 0 0 2 min
#155 0 4 0.0 0 0 0 140 200 18 min
#156 0 0 0.0 0 0 0 0 0 1 min
#157 0 0 0.0 0 0 0 0 0 1 min
#158 0 0 0.0 0 0 0 0 0 0 min
#159 0 0 0.0 0 0 0 0 0 4 min
#160 0 0 0.0 0 0 0 0 0 21 min
#161 0 0 0.0 0 0 0 0 0 6 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 0 0 19 min
#164 0 0 0.0 0 0 0 20 0 1 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 8 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 1 0.0 0 0 0 0 0 2 min
#169 0 0 0.0 0 0 0 0 0 19 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 0 0.0 0 0 0 0 0 9 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 0 0 4 min
#175 0 0 0.0 0 0 0 0 0 16 min
#176 0 0 0.0 0 0 0 0 0 3 min
#177 0 0 0.0 0 0 0 0 0 20 min
#178 0 0 0.0 0 0 0 0 0 8 min
#179 0 0 0.0 0 0 0 0 0 21 min
#180 0 0 0.0 0 0 0 0 0 22 min
#181 0 0 0.0 0 0 0 0 0 1 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 4 0.0 0 0 20 60 0 14 min
#184 0 0 0.0 0 0 0 0 0 18 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 0 0.0 0 0 0 0 0 24 min
#187 0 0 0.0 0 0 0 0 0 18 min
#188 0 0 0.0 0 0 0 0 0 24 min
#189 0 0 0.0 0 0 0 0 0 23 min
#190 0 5 0.0 0 0 20 0 0 4 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 0 0.0 0 0 0 0 0 0 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 0 0.0 0 0 0 0 0 1 min
#195 0 0 0.0 0 0 0 0 0 23 min
#196 0 1 0.0 0 0 40 20 0 6 min
#197 0 0 0.0 0 0 0 0 0 0 min
#198 0 0 0.0 0 0 0 0 0 4 min
#199 0 1 0.0 0 0 0 0 0 4 min
#200 0 0 0.0 0 0 0 0 0 0 min
#201 0 0 0.0 0 0 0 0 0 24 min
#202 0 0 0.0 0 0 0 0 0 24 min
#203 0 0 0.0 0 0 0 0 0 1 min