unknown

unknown

25.11.2025 17:58 | [GER] 106. Panzerbrigade

Result

0:5

Allied wins

Players

196

Total Kills

1,776

Allied Kills

980

Axis Kills

796

Match Duration

77 min

Kills/Min

23.2

High Match ELO

Allies 1141.0 (all: 778.0)
Ø Match 1247.0
Axis 1353.0 (all: 763.0)
Highly imbalanced

Player Statistics (196)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1428 68 28 2.43 1 1,137 400 660 149 73 min
#2 1797 68 21 3.24 2 1,099 420 340 25 52 min
#3 1482 52 21 2.48 0 1,034 600 400 415 72 min
#4 1149 52 24 2.17 0 663 600 480 90 76 min
#5 1576 49 27 1.81 0 682 440 580 210 72 min
#6 1066 43 19 2.26 0 411 220 680 357 72 min
#7 495 42 1 42.0 4 1,096 360 1,040 25 76 min
#8 1051 40 18 2.22 0 569 600 540 135 74 min
#9 971 36 16 2.25 0 594 700 580 115 72 min
#10 881 34 17 2.0 2 672 360 780 45 73 min
#11 1017 32 19 1.68 0 326 280 800 706 65 min
#12 1188 31 16 1.94 2 866 600 380 35 63 min
#13 1161 31 34 0.91 0 540 340 740 1,156 72 min
#14 1030 31 11 2.82 1 379 100 680 65 48 min
#15 904 30 22 1.36 0 241 160 800 105 72 min
#16 907 29 22 1.32 0 320 220 440 55 54 min
#17 797 28 27 1.04 0 555 220 620 245 63 min
#18 941 26 8 3.25 1 847 940 380 210 72 min
#19 938 26 23 1.13 0 374 80 1,100 1,199 73 min
#20 1038 24 22 1.09 0 452 460 660 50 76 min
#21 1037 24 9 2.67 0 214 100 960 530 61 min
#22 877 23 10 2.3 2 706 420 900 85 72 min
#23 805 23 25 0.92 0 207 120 1,000 230 73 min
#24 1906 21 6 3.5 0 270 220 160 80 23 min
#25 626 21 17 1.24 0 184 320 820 753 75 min
#26 901 20 2 10.0 0 537 140 500 35 42 min
#27 1124 20 15 1.33 0 266 780 280 425 65 min
#28 781 20 26 0.77 0 180 200 900 80 73 min
#29 623 20 21 0.95 3 178 240 860 581 73 min
#30 854 18 18 1.0 0 587 160 780 815 72 min
#31 791 18 18 1.0 0 253 520 380 51 56 min
#32 643 18 17 1.06 0 174 100 1,020 270 72 min
#33 870 18 6 3.0 0 165 180 340 25 38 min
#34 839 17 23 0.74 0 506 220 540 10 56 min
#35 643 17 18 0.94 0 406 500 680 135 72 min
#36 1107 16 8 2.0 0 573 280 540 1,964 49 min
#37 872 15 7 2.14 0 354 100 220 15 23 min
#38 944 15 10 1.5 0 311 120 500 25 39 min
#39 740 15 8 1.88 0 130 120 260 25 34 min
#40 14 4 3.5 0 122 100 100 20 14 min
#41 645 14 6 2.33 0 120 100 400 10 35 min
#42 870 13 11 1.18 0 533 280 460 95 49 min
#43 1145 13 6 2.17 0 212 380 180 240 43 min
#44 858 13 12 1.08 0 193 140 860 40 69 min
#45 584 13 27 0.48 3 108 240 840 482 73 min
#46 648 12 8 1.5 1 416 1,280 60 210 72 min
#47 656 12 12 1.0 0 186 460 1,240 0 73 min
#48 740 11 5 2.2 0 596 320 400 1,755 41 min
#49 11 6 1.83 0 143 40 200 25 19 min
#50 612 11 18 0.61 0 135 160 940 286 68 min
#51 609 11 24 0.46 1 129 400 700 949 72 min
#52 675 11 28 0.39 2 123 260 800 126 72 min
#53 625 11 16 0.69 0 118 80 460 30 40 min
#54 651 11 23 0.48 1 103 540 640 180 73 min
#55 546 11 12 0.92 0 99 460 460 110 66 min
#56 856 10 9 1.11 0 242 480 400 160 51 min
#57 566 10 13 0.77 1 103 140 560 105 43 min
#58 870 10 4 2.5 0 98 0 300 95 20 min
#59 544 10 15 0.67 3 86 140 460 40 49 min
#60 629 10 13 0.77 0 78 20 760 995 49 min
#61 1313 10 6 1.67 0 72 280 20 100 21 min
#62 702 9 10 0.9 1 469 220 420 135 43 min
#63 688 9 9 1.0 1 356 280 460 190 44 min
#64 9 0 9.0 1 305 20 280 10 19 min
#65 552 9 18 0.5 1 280 260 660 325 58 min
#66 465 9 6 1.5 2 186 140 240 5 32 min
#67 774 9 18 0.5 0 105 420 600 155 73 min
#68 1083 9 9 1.0 0 79 140 180 20 28 min
#69 865 9 10 0.9 0 78 220 300 160 41 min
#70 722 8 10 0.8 0 853 760 540 170 72 min
#71 789 8 7 1.14 0 214 260 140 386 24 min
#72 464 8 21 0.38 0 117 260 880 1,070 74 min
#73 806 8 7 1.14 0 113 80 240 165 27 min
#74 1042 8 3 2.67 0 85 160 140 10 24 min
#75 874 8 6 1.33 1 75 200 480 181 40 min
#76 8 4 2.0 0 75 20 260 0 19 min
#77 829 8 7 1.14 1 71 160 380 155 43 min
#78 637 8 3 2.67 1 66 0 500 445 28 min
#79 713 8 7 1.14 1 64 240 200 5 31 min
#80 566 8 13 0.62 0 53 0 260 225 24 min
#81 489 7 10 0.7 0 155 20 580 10 40 min
#82 706 7 23 0.3 0 127 520 560 564 70 min
#83 546 7 18 0.39 0 111 300 640 185 59 min
#84 420 7 30 0.23 2 74 160 700 75 65 min
#85 7 2 3.5 0 61 20 140 0 11 min
#86 670 7 9 0.78 0 58 240 440 2,240 48 min
#87 615 6 9 0.67 0 747 460 860 692 72 min
#88 384 6 26 0.23 1 123 180 720 125 65 min
#89 1022 6 12 0.5 1 116 280 340 802 38 min
#90 641 6 13 0.46 0 76 160 300 0 39 min
#91 627 6 15 0.4 0 74 120 620 430 49 min
#92 666 6 6 1.0 0 67 40 460 10 31 min
#93 462 6 13 0.46 0 66 300 420 60 44 min
#94 835 6 1 6.0 0 54 280 120 75 25 min
#95 809 6 24 0.25 0 53 220 580 420 56 min
#96 637 6 9 0.67 0 51 0 300 30 22 min
#97 525 5 9 0.56 2 124 60 700 310 45 min
#98 694 5 10 0.5 0 104 660 160 431 49 min
#99 5 5 1.0 0 89 0 200 0 15 min
#100 685 5 8 0.62 0 89 240 340 0 41 min
#101 5 3 1.67 0 64 0 200 0 16 min
#102 893 5 9 0.56 0 42 80 160 5 24 min
#103 581 4 13 0.31 0 638 1,240 60 470 72 min
#104 741 4 9 0.44 0 233 300 200 60 38 min
#105 650 4 8 0.5 0 97 60 240 5 22 min
#106 709 4 6 0.67 1 95 220 240 343 29 min
#107 695 4 9 0.44 0 91 20 440 10 31 min
#108 998 4 11 0.36 0 63 120 320 246 34 min
#109 568 4 8 0.5 0 48 240 140 30 25 min
#110 4 4 1.0 0 40 20 160 10 16 min
#111 800 4 11 0.36 0 38 120 540 190 43 min
#112 4 5 0.8 0 36 80 40 230 12 min
#113 4 5 0.8 0 34 0 220 0 16 min
#114 355 3 13 0.23 0 90 360 520 80 65 min
#115 481 3 8 0.38 0 43 40 300 0 31 min
#116 627 3 14 0.21 0 25 220 200 80 33 min
#117 423 3 12 0.25 0 21 140 460 75 44 min
#118 828 2 6 0.33 1 216 260 940 2,749 65 min
#119 2 1 2.0 0 167 60 40 10 9 min
#120 588 2 14 0.14 0 74 80 380 110 32 min
#121 600 2 7 0.29 0 37 20 220 0 20 min
#122 1181 2 4 0.5 0 36 60 220 1,340 35 min
#123 704 2 16 0.12 1 27 260 420 10 43 min
#124 722 2 11 0.18 0 26 220 340 110 41 min
#125 613 2 5 0.4 0 24 20 300 0 22 min
#126 2 5 0.4 0 21 0 160 0 17 min
#127 2 2 1.0 0 19 20 60 75 8 min
#128 591 2 5 0.4 0 19 240 100 100 20 min
#129 2 3 0.67 0 18 0 60 0 9 min
#130 2 2 1.0 0 15 0 120 0 12 min
#131 2 0 2.0 0 11 20 40 20 6 min
#132 636 1 3 0.33 0 1,014 360 1,060 270 74 min
#133 897 1 3 0.33 0 966 220 940 70 65 min
#134 443 1 20 0.05 0 112 620 500 970 72 min
#135 1 4 0.25 0 64 60 200 5 17 min
#136 476 1 7 0.14 0 26 0 740 255 45 min
#137 551 1 8 0.12 0 21 40 440 0 33 min
#138 764 1 6 0.17 0 16 60 220 0 21 min
#139 472 1 19 0.05 3 15 180 480 0 44 min
#140 1 3 0.33 0 14 20 160 195 13 min
#141 1 4 0.25 0 12 0 80 5 10 min
#142 1 0 1.0 0 12 0 0 0 4 min
#143 1 7 0.14 0 11 120 80 0 17 min
#144 1 0 1.0 0 11 0 40 0 3 min
#145 404 1 8 0.12 0 10 140 340 0 30 min
#146 1 3 0.33 0 7 40 20 0 7 min
#147 1 1 1.0 0 6 80 0 0 6 min
#148 1 2 0.5 0 5 40 0 0 7 min
#149 0 0 0.0 0 234 20 200 5 12 min
#150 582 0 12 0.0 0 84 180 520 130 45 min
#151 413 0 22 0.0 2 67 100 840 20 73 min
#152 0 1 0.0 1 50 40 80 5 7 min
#153 0 1 0.0 0 50 40 40 0 6 min
#154 0 1 0.0 1 50 40 60 0 7 min
#155 0 1 0.0 0 50 40 40 60 9 min
#156 472 0 4 0.0 0 21 0 280 710 25 min
#157 0 2 0.0 0 8 0 40 0 6 min
#158 452 0 9 0.0 0 7 40 260 290 24 min
#159 410 0 11 0.0 0 6 180 380 5 38 min
#160 0 4 0.0 0 4 20 160 0 12 min
#161 0 1 0.0 1 3 20 40 5 12 min
#162 0 1 0.0 0 2 0 60 90 5 min
#163 0 6 0.0 0 1 80 100 0 16 min
#164 591 0 3 0.0 0 1 300 140 0 27 min
#165 0 2 0.0 0 1 0 80 0 9 min
#166 0 1 0.0 0 1 0 140 0 7 min
#167 0 0 0.0 0 0 0 0 0 2 min
#168 0 0 0.0 0 0 0 0 0 2 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 40 0 5 min
#172 0 0 0.0 2 0 0 80 0 5 min
#173 0 0 0.0 0 0 0 20 0 0 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 0 0 2 min
#176 0 0 0.0 0 0 20 0 25 4 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 0 0.0 0 0 20 0 0 3 min
#179 0 0 0.0 0 0 0 40 0 4 min
#180 0 1 0.0 0 0 0 20 0 3 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 1 0.0 0 0 0 80 195 6 min
#183 0 0 0.0 0 0 0 80 0 4 min
#184 0 0 0.0 0 0 0 0 0 2 min
#185 0 0 0.0 0 0 0 0 0 7 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 1 0.0 0 0 0 40 0 2 min
#188 0 0 0.0 0 0 0 0 0 7 min
#189 0 0 0.0 0 0 0 20 0 3 min
#190 0 0 0.0 0 0 0 0 0 0 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 0 0.0 1 0 0 40 0 2 min
#193 0 0 0.0 0 0 0 40 0 5 min
#194 0 5 0.0 0 0 0 100 0 19 min
#195 0 1 0.0 0 0 0 100 0 4 min
#196 0 0 0.0 0 0 0 20 0 1 min