carentan_warfare

Carentan Warfare Day

30.12.2025 18:29 | [GER] Sandkasten der 106. Panzerbrigade

Result

3:2

Axis wins

Players

183

Total Kills

2,303

Allied Kills

1,244

Axis Kills

1,059

Match Duration

90 min

Kills/Min

25.6

High Match ELO

Allies 1253.0 (all: 782.0)
Ø Match 1231.0
Axis 1208.0 (all: 768.0)

Player Statistics (183)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 2196 102 31 3.29 0 1,012 460 920 599 85 min
#2 1369 61 34 1.79 0 627 220 1,140 445 85 min
#3 1172 55 28 1.96 2 1,239 560 760 2,285 85 min
#4 1342 55 40 1.38 9 755 120 1,120 35 85 min
#5 1091 52 27 1.93 2 583 200 1,160 35 85 min
#6 751 47 8 5.88 8 622 180 1,500 50 85 min
#7 723 46 22 2.09 0 622 620 780 90 83 min
#8 847 45 20 2.25 0 530 1,100 460 156 85 min
#9 935 43 34 1.26 5 1,295 800 480 1,380 85 min
#10 1020 43 32 1.34 0 1,234 1,240 240 170 85 min
#11 1377 43 19 2.26 0 494 540 420 10 61 min
#12 929 43 27 1.59 0 457 480 880 20 85 min
#13 1222 42 29 1.45 1 1,330 1,140 360 980 85 min
#14 1127 39 21 1.86 0 515 20 1,180 85 71 min
#15 626 39 33 1.18 0 358 740 660 518 85 min
#16 1481 38 19 2.0 0 1,344 1,260 300 572 85 min
#17 1087 38 30 1.27 0 390 240 1,160 20 85 min
#18 714 38 11 3.45 0 382 420 1,160 910 85 min
#19 1186 37 17 2.18 1 507 640 860 2,045 85 min
#20 859 36 17 2.12 0 475 1,240 340 40 85 min
#21 653 36 19 1.89 1 289 200 700 5 62 min
#22 698 30 23 1.3 0 424 560 500 15 81 min
#23 728 29 7 4.14 5 1,358 320 1,340 70 85 min
#24 1439 29 13 2.23 0 615 480 380 10 58 min
#25 915 27 24 1.12 0 438 500 660 370 78 min
#26 832 26 24 1.08 0 620 1,260 280 524 85 min
#27 916 25 17 1.47 0 1,156 740 700 125 85 min
#28 819 24 16 1.5 0 307 480 260 10 51 min
#29 717 24 35 0.69 1 219 360 920 1,297 85 min
#30 672 23 16 1.44 1 1,335 340 1,100 45 88 min
#31 533 23 6 3.83 3 331 80 780 5 51 min
#32 1015 23 22 1.05 0 273 360 820 642 72 min
#33 1300 23 8 2.88 0 253 80 520 770 35 min
#34 587 23 10 2.3 0 190 220 1,400 0 85 min
#35 574 22 16 1.38 1 320 260 700 65 61 min
#36 652 22 16 1.38 1 193 800 580 20 85 min
#37 982 21 15 1.4 0 521 280 480 125 53 min
#38 1004 21 13 1.62 5 355 280 840 4,185 79 min
#39 879 20 32 0.62 0 386 20 1,260 2,925 85 min
#40 1046 20 19 1.05 1 275 920 540 280 85 min
#41 856 20 24 0.83 1 220 460 700 295 76 min
#42 767 20 22 0.91 2 183 40 1,260 315 80 min
#43 599 19 10 1.9 0 639 420 1,080 210 85 min
#44 584 19 33 0.58 0 368 80 1,100 160 85 min
#45 761 19 34 0.56 0 279 20 1,420 1,011 85 min
#46 628 19 18 1.06 0 212 100 1,460 65 85 min
#47 589 19 32 0.59 1 189 640 680 10 88 min
#48 611 18 24 0.75 0 158 500 700 565 73 min
#49 892 18 14 1.29 0 145 0 1,160 405 69 min
#50 861 17 31 0.55 2 378 740 600 2,815 85 min
#51 881 17 15 1.13 0 184 180 560 225 49 min
#52 867 17 10 1.7 0 146 480 140 185 40 min
#53 747 16 45 0.36 0 576 420 720 1,461 85 min
#54 855 16 26 0.62 1 407 620 720 2,612 85 min
#55 625 16 18 0.89 0 262 840 280 10 74 min
#56 821 16 14 1.14 0 226 60 340 5 29 min
#57 764 15 7 2.14 0 667 900 700 160 85 min
#58 712 15 24 0.62 0 258 180 380 5 44 min
#59 974 15 10 1.5 0 187 180 1,000 697 66 min
#60 14 11 1.27 0 176 120 140 100 19 min
#61 951 14 15 0.93 0 170 480 140 30 44 min
#62 510 14 10 1.4 0 123 180 700 395 49 min
#63 958 13 19 0.68 0 179 260 220 791 36 min
#64 13 9 1.44 1 158 60 180 90 17 min
#65 924 13 6 2.17 0 134 320 120 15 25 min
#66 674 12 11 1.09 0 1,163 380 1,220 210 88 min
#67 513 12 6 2.0 1 385 80 820 40 56 min
#68 873 12 30 0.4 0 354 640 720 1,128 85 min
#69 861 12 12 1.0 1 287 320 220 25 37 min
#70 558 12 20 0.6 0 196 120 360 5 41 min
#71 675 12 22 0.55 0 187 180 880 210 72 min
#72 605 11 27 0.41 4 226 160 1,100 883 85 min
#73 852 11 28 0.39 0 157 100 480 170 43 min
#74 665 11 19 0.58 0 114 400 40 245 32 min
#75 925 10 21 0.48 0 725 680 700 175 85 min
#76 867 10 15 0.67 0 243 740 340 1,241 64 min
#77 733 10 23 0.43 0 178 480 940 525 85 min
#78 787 10 7 1.43 0 98 260 140 0 28 min
#79 729 10 11 0.91 0 94 180 200 0 25 min
#80 985 10 12 0.83 0 92 120 280 35 29 min
#81 865 9 10 0.9 0 1,433 380 1,300 170 85 min
#82 637 9 22 0.41 0 413 200 420 80 54 min
#83 501 9 14 0.64 1 300 100 960 20 62 min
#84 623 9 27 0.33 0 276 500 760 180 77 min
#85 819 9 12 0.75 0 144 340 20 25 25 min
#86 644 9 7 1.29 1 131 120 280 0 28 min
#87 629 9 17 0.53 0 92 20 620 50 46 min
#88 892 9 13 0.69 0 90 140 280 355 30 min
#89 610 8 9 0.89 0 116 160 360 80 35 min
#90 540 8 24 0.33 1 103 140 540 20 48 min
#91 8 5 1.6 0 91 20 120 5 14 min
#92 487 8 19 0.42 0 82 220 400 225 51 min
#93 995 8 13 0.62 0 80 80 340 5 35 min
#94 503 7 17 0.41 0 99 460 280 80 54 min
#95 803 7 9 0.78 0 80 160 240 0 30 min
#96 702 7 9 0.78 0 71 60 240 185 21 min
#97 539 7 20 0.35 0 66 460 960 375 85 min
#98 575 6 20 0.3 0 183 400 280 310 61 min
#99 627 6 24 0.25 0 67 160 1,300 1,333 85 min
#100 6 5 1.2 5 65 120 80 205 15 min
#101 683 6 10 0.6 0 59 120 180 190 23 min
#102 514 6 14 0.43 1 58 420 400 25 57 min
#103 495 6 15 0.4 2 58 140 600 130 55 min
#104 597 6 12 0.5 0 54 360 240 0 41 min
#105 6 4 1.5 0 48 0 140 0 11 min
#106 5 10 0.5 0 149 180 0 125 15 min
#107 636 5 13 0.38 0 120 100 920 5 61 min
#108 522 5 12 0.42 1 50 460 140 5 36 min
#109 5 4 1.25 0 42 0 180 50 15 min
#110 491 4 18 0.22 1 160 160 580 65 63 min
#111 633 4 18 0.22 0 100 0 900 364 55 min
#112 518 4 13 0.31 0 48 440 160 45 43 min
#113 452 4 8 0.5 0 48 120 460 137 35 min
#114 4 6 0.67 0 41 40 200 90 17 min
#115 4 2 2.0 0 37 0 180 5 10 min
#116 739 3 2 1.5 1 345 260 420 5 38 min
#117 440 3 18 0.17 0 99 400 480 250 63 min
#118 519 3 3 1.0 0 62 100 220 0 22 min
#119 516 3 10 0.3 0 46 120 80 20 23 min
#120 3 5 0.6 0 29 120 140 0 19 min
#121 3 5 0.6 0 29 20 140 0 12 min
#122 510 3 7 0.43 0 28 60 200 160 23 min
#123 569 3 6 0.5 0 26 160 300 795 38 min
#124 532 3 2 1.5 0 20 120 160 179 25 min
#125 776 2 2 1.0 1 294 260 360 25 36 min
#126 693 2 19 0.11 0 82 100 1,380 110 85 min
#127 398 2 7 0.29 0 67 160 500 0 37 min
#128 2 2 1.0 1 60 140 100 320 4 min
#129 2 4 0.5 0 36 80 80 5 17 min
#130 710 2 5 0.4 0 34 200 140 10 38 min
#131 362 2 13 0.15 0 27 340 700 0 68 min
#132 426 2 20 0.1 0 26 960 240 417 73 min
#133 725 2 12 0.17 0 25 120 680 65 54 min
#134 673 2 5 0.4 1 23 0 300 0 22 min
#135 701 2 9 0.22 1 19 60 260 5 25 min
#136 2 1 2.0 0 18 40 200 10 12 min
#137 2 2 1.0 0 16 0 200 0 16 min
#138 1 0 1.0 0 103 60 120 0 8 min
#139 1 4 0.25 0 68 0 120 10 8 min
#140 375 1 19 0.05 0 29 160 1,300 0 85 min
#141 1 4 0.25 0 17 0 140 0 9 min
#142 1 6 0.17 0 14 0 160 15 13 min
#143 1 2 0.5 0 13 0 140 75 7 min
#144 1 4 0.25 0 11 100 100 305 16 min
#145 1 1 1.0 0 9 0 60 0 5 min
#146 871 0 3 0.0 0 519 460 440 85 56 min
#147 500 0 15 0.0 0 80 420 420 225 56 min
#148 642 0 3 0.0 0 20 0 260 610 27 min
#149 0 1 0.0 0 8 40 160 0 13 min
#150 0 5 0.0 0 4 80 20 5 22 min
#151 0 2 0.0 0 4 100 60 0 10 min
#152 0 3 0.0 0 2 60 40 75 11 min
#153 0 6 0.0 0 2 60 200 10 19 min
#154 0 3 0.0 0 1 20 220 0 17 min
#155 0 0 0.0 0 0 40 20 75 6 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 1 0.0 0 0 0 40 0 4 min
#158 0 1 0.0 0 0 0 0 0 3 min
#159 0 0 0.0 0 0 0 80 200 5 min
#160 0 0 0.0 0 0 40 0 0 3 min
#161 0 0 0.0 0 0 0 40 0 2 min
#162 0 0 0.0 0 0 0 0 0 10 min
#163 0 0 0.0 0 0 0 0 0 3 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 4 0.0 1 0 100 20 0 10 min
#166 0 0 0.0 0 0 0 240 681 12 min
#167 0 0 0.0 0 0 60 20 0 24 min
#168 0 4 0.0 0 0 60 80 75 14 min
#169 0 0 0.0 0 0 0 40 0 1 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 0 0 11 min
#172 0 2 0.0 0 0 0 100 0 8 min
#173 0 0 0.0 0 0 0 0 0 1 min
#174 0 0 0.0 0 0 0 0 0 7 min
#175 0 0 0.0 0 0 0 0 0 7 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 0 0 1 min
#180 0 0 0.0 0 0 0 0 0 7 min
#181 0 0 0.0 0 0 0 0 0 1 min
#182 0 0 0.0 0 0 0 20 0 2 min
#183 0 1 0.0 0 0 0 0 0 2 min