smolensk_offensiveGer_dusk

Smolensk Offensive Night GER attack

14.02.2026 04:24 | BigD.com.au AU#1

Result

3:2

Axis wins

Players

141

Total Kills

1,320

Allied Kills

707

Axis Kills

613

Match Duration

52 min

Kills/Min

25.2

Normal Match ELO

Allies 1299.0 (all: 790.0)
Ø Match 1141.0
Axis 984.0 (all: 745.0)
Highly imbalanced

Player Statistics (141)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1971 57 23 2.48 0 848 40 760 689 48 min
#2 1284 44 10 4.4 1 711 120 720 195 48 min
#3 1742 43 19 2.26 1 879 120 560 120 48 min
#4 817 35 23 1.52 0 419 500 300 5 48 min
#5 1026 35 20 1.75 0 347 480 280 1,605 48 min
#6 1273 33 19 1.74 0 353 20 820 766 48 min
#7 1162 31 13 2.38 0 299 680 180 10 48 min
#8 859 28 6 4.67 1 280 0 840 390 48 min
#9 980 27 15 1.8 0 687 300 540 372 50 min
#10 841 27 18 1.5 0 268 500 280 70 48 min
#11 1015 24 12 2.0 0 450 760 120 75 48 min
#12 834 23 11 2.09 1 900 400 160 80 40 min
#13 923 23 12 1.92 0 527 20 820 65 48 min
#14 871 23 18 1.28 0 217 360 360 612 47 min
#15 1478 22 11 2.0 0 475 0 480 90 30 min
#16 604 22 5 4.4 1 414 460 440 75 48 min
#17 1121 22 20 1.1 0 309 20 720 524 47 min
#18 903 22 18 1.22 0 277 380 60 0 41 min
#19 921 21 17 1.24 0 185 180 300 15 36 min
#20 645 20 12 1.67 0 225 520 340 475 48 min
#21 904 20 16 1.25 0 182 320 280 30 46 min
#22 678 19 8 2.38 0 526 20 880 215 48 min
#23 774 19 5 3.8 0 167 100 380 145 29 min
#24 554 18 6 3.0 1 467 420 400 35 48 min
#25 950 18 20 0.9 0 283 460 300 145 48 min
#26 738 18 13 1.38 0 195 380 480 5 48 min
#27 658 17 25 0.68 0 242 460 280 150 48 min
#28 679 17 11 1.55 0 164 40 780 300 48 min
#29 777 16 17 0.94 0 136 540 260 40 48 min
#30 746 15 8 1.88 0 719 500 900 160 48 min
#31 1202 15 8 1.88 0 198 0 380 115 22 min
#32 813 15 22 0.68 0 178 440 160 245 48 min
#33 776 15 16 0.94 0 109 20 740 450 49 min
#34 751 14 9 1.56 0 137 0 520 80 29 min
#35 946 13 21 0.62 0 681 860 520 2,205 48 min
#36 990 13 5 2.6 0 306 0 880 2,369 48 min
#37 765 13 19 0.68 0 136 420 200 20 46 min
#38 989 13 5 2.6 1 88 0 900 2,165 48 min
#39 878 12 13 0.92 0 248 0 720 2,020 50 min
#40 765 12 16 0.75 0 208 20 400 70 40 min
#41 856 12 19 0.63 0 127 460 280 15 48 min
#42 709 12 15 0.8 0 122 60 700 470 48 min
#43 1139 11 11 1.0 2 550 0 880 95 50 min
#44 869 11 21 0.52 2 350 540 120 20 45 min
#45 860 11 14 0.79 4 322 420 360 2,561 48 min
#46 720 11 14 0.79 0 300 320 240 20 38 min
#47 619 11 11 1.0 0 149 280 1,060 400 49 min
#48 754 11 6 1.83 0 111 220 300 15 29 min
#49 603 11 15 0.73 0 102 460 260 404 48 min
#50 1068 10 7 1.43 0 310 640 160 1,460 48 min
#51 612 10 7 1.43 0 205 60 1,160 1,896 48 min
#52 612 10 14 0.71 0 162 0 760 305 48 min
#53 928 10 6 1.67 0 155 220 40 10 22 min
#54 573 10 9 1.11 0 91 60 740 105 48 min
#55 751 10 12 0.83 0 90 520 220 55 46 min
#56 851 10 3 3.33 0 81 40 260 0 20 min
#57 763 9 10 0.9 1 229 0 500 15 31 min
#58 858 9 20 0.45 0 133 40 600 575 42 min
#59 555 9 12 0.75 1 101 180 700 0 48 min
#60 837 9 9 1.0 0 92 220 80 0 27 min
#61 823 8 13 0.62 0 490 500 280 590 48 min
#62 591 8 13 0.62 0 271 0 540 135 35 min
#63 602 8 12 0.67 0 146 0 760 320 48 min
#64 838 8 12 0.67 0 85 480 160 90 48 min
#65 1025 7 7 1.0 1 427 440 440 70 48 min
#66 695 7 17 0.41 1 274 600 120 70 48 min
#67 672 7 14 0.5 0 265 800 60 425 48 min
#68 608 7 11 0.64 0 160 160 580 65 48 min
#69 644 7 7 1.0 0 117 360 40 0 29 min
#70 913 7 10 0.7 0 116 0 540 374 34 min
#71 695 7 7 1.0 0 66 0 300 25 23 min
#72 667 7 12 0.58 0 60 500 340 10 48 min
#73 596 6 11 0.55 0 212 240 1,100 365 48 min
#74 773 6 12 0.5 0 144 20 560 150 39 min
#75 542 6 11 0.55 0 94 420 200 230 45 min
#76 606 6 12 0.5 0 77 60 560 20 50 min
#77 373 6 10 0.6 0 76 220 440 0 43 min
#78 542 6 2 3.0 0 66 360 540 35 48 min
#79 554 6 16 0.38 0 65 360 200 10 48 min
#80 677 5 3 1.67 0 628 680 260 114 48 min
#81 676 5 17 0.29 0 554 740 100 205 48 min
#82 451 5 13 0.38 0 344 60 740 290 48 min
#83 639 5 4 1.25 0 144 120 140 55 16 min
#84 808 5 11 0.45 0 96 540 160 678 48 min
#85 672 5 12 0.42 0 42 0 240 30 18 min
#86 536 5 12 0.42 0 36 260 480 135 48 min
#87 603 4 2 2.0 0 77 40 340 100 21 min
#88 736 4 4 1.0 0 45 380 100 25 26 min
#89 629 4 8 0.5 0 44 40 240 90 18 min
#90 622 3 7 0.43 2 586 420 400 75 48 min
#91 819 3 5 0.6 0 432 420 400 320 48 min
#92 593 3 6 0.5 0 56 20 360 75 27 min
#93 627 3 14 0.21 0 44 0 220 10 18 min
#94 3 0 3.0 0 29 20 160 245 9 min
#95 605 3 10 0.3 0 27 160 40 10 17 min
#96 408 2 8 0.25 0 529 20 760 55 48 min
#97 675 2 11 0.18 0 491 40 780 375 48 min
#98 637 2 5 0.4 0 224 200 600 717 37 min
#99 460 2 12 0.17 1 30 0 880 414 48 min
#100 732 2 9 0.22 0 27 0 280 20 18 min
#101 518 2 11 0.18 0 25 0 520 85 50 min
#102 508 2 13 0.15 1 20 160 140 110 31 min
#103 762 2 4 0.5 0 18 0 300 90 18 min
#104 472 2 11 0.18 0 13 420 460 0 48 min
#105 1 0 1.0 0 59 0 100 0 5 min
#106 623 1 17 0.06 1 29 420 220 160 48 min
#107 1 2 0.5 0 18 40 0 0 3 min
#108 1 0 1.0 0 15 0 60 5 3 min
#109 1 3 0.33 0 8 0 60 0 7 min
#110 503 1 14 0.07 0 8 0 740 0 50 min
#111 845 0 5 0.0 0 375 440 420 1,875 50 min
#112 420 0 21 0.0 0 101 860 320 985 48 min
#113 0 0 0.0 0 43 260 180 0 0 min
#114 0 1 0.0 0 20 0 100 0 8 min
#115 451 0 2 0.0 0 11 0 380 110 26 min
#116 443 0 13 0.0 0 6 480 260 30 48 min
#117 0 2 0.0 0 3 0 80 0 5 min
#118 0 5 0.0 0 2 0 160 145 11 min
#119 0 4 0.0 0 1 20 60 25 7 min
#120 491 0 10 0.0 1 1 20 780 100 50 min
#121 0 0 0.0 0 0 0 0 0 1 min
#122 0 0 0.0 0 0 0 0 0 0 min
#123 0 0 0.0 0 0 20 0 0 48 min
#124 0 0 0.0 0 0 0 0 0 3 min
#125 0 0 0.0 0 0 0 0 0 10 min
#126 0 0 0.0 0 0 0 200 0 48 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 0 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 1 min
#134 0 0 0.0 0 0 0 0 0 8 min
#135 0 0 0.0 0 0 0 0 0 0 min
#136 0 0 0.0 0 0 0 0 0 3 min
#137 0 0 0.0 0 0 60 0 0 5 min
#138 0 0 0.0 0 0 0 0 0 0 min
#139 0 0 0.0 0 0 0 0 0 1 min
#140 0 0 0.0 0 0 0 0 0 3 min
#141 0 0 0.0 0 0 0 0 0 0 min