smolensk_offensiveGer_night

Smolensk Offensive Night GER attack

31.01.2026 07:12 | BigD.com.au AU#2 | All Modes

Result

4:1

Axis wins

Players

174

Total Kills

1,761

Allied Kills

998

Axis Kills

763

Match Duration

65 min

Kills/Min

27.0

Normal Match ELO

Allies 1109.0 (all: 786.0)
Ø Match 1071.0
Axis 1033.0 (all: 741.0)

Player Statistics (174)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1215 57 13 4.38 1 526 540 540 470 62 min
#2 786 52 5 10.4 1 1,003 260 720 10 60 min
#3 1093 50 5 10.0 1 628 0 860 140 53 min
#4 1438 48 15 3.2 0 766 300 740 95 60 min
#5 739 39 21 1.86 0 374 320 560 380 60 min
#6 863 39 6 6.5 0 338 760 420 55 60 min
#7 859 38 7 5.43 0 1,022 420 680 100 60 min
#8 790 36 9 4.0 0 336 300 560 330 49 min
#9 756 36 9 4.0 1 282 220 800 2,922 60 min
#10 1059 34 21 1.62 0 1,532 820 120 105 60 min
#11 683 34 3 11.33 0 1,192 500 680 0 63 min
#12 860 34 7 4.86 1 643 0 1,160 580 60 min
#13 1116 34 15 2.27 0 420 360 600 155 60 min
#14 1098 34 20 1.7 0 292 360 560 0 59 min
#15 926 33 28 1.18 2 349 340 460 170 57 min
#16 775 33 16 2.06 0 300 220 740 15 59 min
#17 637 28 8 3.5 1 241 160 960 1,883 60 min
#18 841 27 23 1.17 1 623 820 1,380 475 60 min
#19 1054 26 10 2.6 1 211 360 220 20 36 min
#20 889 25 15 1.67 0 402 160 820 200 60 min
#21 751 25 21 1.19 0 277 180 820 125 63 min
#22 983 24 21 1.14 0 348 260 540 150 54 min
#23 784 23 7 3.29 1 339 400 120 40 33 min
#24 980 23 7 3.29 0 252 0 340 75 21 min
#25 935 23 21 1.1 0 247 400 500 580 60 min
#26 1263 22 33 0.67 0 392 480 460 510 60 min
#27 982 21 6 3.5 0 312 440 120 0 35 min
#28 663 21 18 1.17 1 246 520 460 5 60 min
#29 906 21 19 1.11 2 220 200 440 160 56 min
#30 716 21 23 0.91 0 193 400 540 310 60 min
#31 1053 20 13 1.54 0 303 380 240 75 42 min
#32 742 20 22 0.91 0 224 540 480 170 60 min
#33 706 19 18 1.06 2 231 360 460 150 60 min
#34 894 19 19 1.0 0 187 320 560 575 54 min
#35 1053 19 7 2.71 0 176 340 300 40 37 min
#36 844 19 22 0.86 0 175 220 480 545 63 min
#37 926 19 19 1.0 0 170 220 420 0 45 min
#38 993 18 24 0.75 1 275 340 300 155 45 min
#39 873 18 20 0.9 3 252 100 860 674 60 min
#40 815 18 17 1.06 0 205 300 300 120 39 min
#41 583 18 29 0.62 3 193 180 800 48 60 min
#42 834 18 32 0.56 1 158 340 460 920 60 min
#43 1135 17 9 1.89 7 1,474 1,340 620 4,470 50 min
#44 601 17 15 1.13 0 448 220 1,800 760 60 min
#45 980 17 10 1.7 0 365 0 760 640 44 min
#46 740 17 24 0.71 0 163 280 600 250 60 min
#47 634 17 21 0.81 0 151 200 620 532 56 min
#48 574 17 17 1.0 0 138 540 400 25 60 min
#49 1043 16 19 0.84 0 905 560 1,200 3,060 54 min
#50 744 16 17 0.94 0 264 140 660 1,367 54 min
#51 809 16 7 2.29 0 143 380 600 395 63 min
#52 916 15 14 1.07 0 184 260 760 10 60 min
#53 748 14 29 0.48 1 278 600 380 160 60 min
#54 1223 14 9 1.56 0 238 340 360 145 41 min
#55 657 14 19 0.74 0 222 340 500 170 60 min
#56 528 14 19 0.74 1 189 200 680 155 57 min
#57 653 13 29 0.45 0 312 320 380 230 57 min
#58 581 13 27 0.48 1 311 360 540 375 60 min
#59 991 13 3 4.33 0 135 120 280 10 27 min
#60 853 12 34 0.35 0 163 320 460 610 60 min
#61 650 12 16 0.75 0 137 200 800 200 63 min
#62 627 12 15 0.8 0 84 360 580 1,183 60 min
#63 927 11 5 2.2 1 171 140 480 170 37 min
#64 832 11 13 0.85 1 155 120 600 75 50 min
#65 1007 11 3 3.67 0 116 0 300 225 18 min
#66 881 10 14 0.71 0 444 600 300 396 60 min
#67 594 10 15 0.67 0 98 200 560 35 46 min
#68 763 10 15 0.67 0 91 120 500 310 41 min
#69 673 9 4 2.25 3 1,057 380 760 2,005 60 min
#70 721 9 8 1.12 0 1,046 840 120 690 54 min
#71 615 9 22 0.41 3 156 460 420 5 60 min
#72 954 9 8 1.12 0 149 0 300 230 20 min
#73 1020 9 11 0.82 0 137 200 100 20 19 min
#74 700 9 14 0.64 1 97 60 380 175 30 min
#75 715 9 23 0.39 0 90 400 480 620 60 min
#76 711 8 25 0.32 0 275 560 420 722 60 min
#77 8 2 4.0 0 85 0 200 40 13 min
#78 700 7 6 1.17 0 60 40 320 0 22 min
#79 616 6 14 0.43 0 164 160 340 0 36 min
#80 688 6 11 0.55 0 98 240 400 75 39 min
#81 607 6 25 0.24 0 72 160 680 155 56 min
#82 698 6 13 0.46 2 69 120 440 50 35 min
#83 671 6 22 0.27 0 69 140 620 695 53 min
#84 778 6 7 0.86 1 67 280 680 225 53 min
#85 679 6 15 0.4 0 58 60 380 165 31 min
#86 600 5 30 0.17 0 53 300 540 682 63 min
#87 641 5 10 0.5 0 46 240 140 75 27 min
#88 460 4 6 0.67 0 42 0 440 10 29 min
#89 766 4 8 0.5 0 41 0 180 150 16 min
#90 4 1 4.0 0 35 20 40 0 4 min
#91 506 3 23 0.13 0 312 860 1,060 625 60 min
#92 764 3 2 1.5 0 204 40 480 1,220 30 min
#93 547 3 7 0.43 0 79 60 420 155 31 min
#94 671 3 15 0.2 0 69 0 200 75 20 min
#95 3 6 0.5 0 51 60 80 0 10 min
#96 3 6 0.5 0 48 140 60 115 15 min
#97 737 3 14 0.21 0 46 120 780 525 57 min
#98 438 3 10 0.3 1 37 160 480 288 40 min
#99 522 3 12 0.25 0 34 220 240 15 30 min
#100 645 3 6 0.5 0 30 300 220 20 35 min
#101 623 2 4 0.5 0 1,107 440 600 165 60 min
#102 661 2 20 0.1 1 130 200 520 380 59 min
#103 914 2 9 0.22 0 70 120 340 0 32 min
#104 842 2 18 0.11 0 43 100 640 2,255 48 min
#105 734 2 2 1.0 0 32 40 180 0 17 min
#106 682 2 8 0.25 0 28 20 200 150 19 min
#107 774 2 12 0.17 0 28 120 260 1,200 37 min
#108 2 8 0.25 0 27 0 220 264 15 min
#109 546 2 7 0.29 0 24 100 120 25 15 min
#110 595 2 16 0.12 0 22 100 360 350 34 min
#111 2 1 2.0 0 18 40 0 0 2 min
#112 2 5 0.4 0 18 0 80 75 8 min
#113 2 0 2.0 0 15 20 60 10 4 min
#114 428 1 10 0.1 0 65 0 640 15 48 min
#115 565 1 10 0.1 0 41 0 180 0 15 min
#116 1 5 0.2 0 17 0 240 164 15 min
#117 611 1 5 0.2 0 14 0 280 85 19 min
#118 417 1 10 0.1 0 13 0 240 0 16 min
#119 542 1 29 0.03 0 13 200 440 2,840 54 min
#120 1 1 1.0 0 11 0 20 0 6 min
#121 1 0 1.0 0 10 0 20 0 2 min
#122 453 1 9 0.11 0 10 100 740 125 52 min
#123 1 3 0.33 0 8 0 100 65 7 min
#124 520 0 6 0.0 0 455 200 220 170 24 min
#125 405 0 18 0.0 0 57 480 500 1,015 60 min
#126 0 0 0.0 0 35 60 120 0 2 min
#127 0 3 0.0 0 12 0 100 0 11 min
#128 473 0 6 0.0 0 11 0 280 75 20 min
#129 359 0 23 0.0 0 7 320 580 0 60 min
#130 592 0 4 0.0 0 6 40 220 10 17 min
#131 0 1 0.0 0 6 0 20 0 8 min
#132 0 3 0.0 0 5 0 20 0 4 min
#133 592 0 6 0.0 0 4 220 200 195 25 min
#134 0 0 0.0 0 3 0 0 0 1 min
#135 0 0 0.0 0 2 0 0 0 2 min
#136 0 2 0.0 0 2 20 0 0 3 min
#137 0 2 0.0 0 1 20 20 0 7 min
#138 0 3 0.0 0 1 0 100 75 8 min
#139 576 0 4 0.0 0 1 100 100 600 23 min
#140 0 0 0.0 0 0 0 0 0 0 min
#141 0 0 0.0 0 0 0 0 0 0 min
#142 0 0 0.0 0 0 0 0 0 1 min
#143 0 0 0.0 0 0 0 0 0 1 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 0 0 0.0 0 0 0 0 0 4 min
#148 0 0 0.0 0 0 0 0 0 2 min
#149 0 0 0.0 0 0 0 80 0 4 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 0 0 7 min
#152 0 0 0.0 0 0 0 0 0 0 min
#153 0 0 0.0 0 0 0 0 0 1 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 0 0.0 0 0 0 0 0 1 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 1 0.0 0 0 0 0 0 3 min
#159 0 0 0.0 0 0 0 0 0 1 min
#160 0 0 0.0 0 0 0 0 0 0 min
#161 0 0 0.0 0 0 0 0 0 1 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 0 0 0 0 0 2 min
#166 0 1 0.0 0 0 0 20 0 3 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 20 0 0 3 min
#171 0 2 0.0 0 0 100 0 75 6 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 1 0.0 0 0 0 0 0 1 min
#174 0 5 0.0 0 0 20 80 75 10 min