smolensk_warfare_night

Smolensk Warfare Night

01.01.2026 17:28 | [GER] Sandkasten der 106. Panzerbrigade

Result

5:0

Axis wins

Players

177

Total Kills

2,058

Allied Kills

940

Axis Kills

1,118

Match Duration

80 min

Kills/Min

25.6

High Match ELO

Allies 1112.0 (all: 771.0)
Ø Match 1226.0
Axis 1340.0 (all: 814.0)
Highly imbalanced

Player Statistics (177)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1849 79 23 3.43 0 1,175 800 440 370 76 min
#2 1782 65 32 2.03 0 979 660 420 260 76 min
#3 751 60 4 15.0 1 2,116 540 940 110 76 min
#4 1493 59 6 9.83 7 790 0 1,460 3,537 75 min
#5 1044 42 33 1.27 0 434 20 1,060 335 69 min
#6 1030 41 30 1.37 0 365 340 880 520 76 min
#7 1132 40 25 1.6 2 489 600 620 340 76 min
#8 746 40 20 2.0 0 410 660 580 615 76 min
#9 995 38 26 1.46 0 458 320 720 1,050 66 min
#10 1106 38 20 1.9 0 417 860 480 1,778 76 min
#11 932 38 25 1.52 0 378 240 600 1,820 62 min
#12 1082 36 26 1.38 0 568 400 640 85 77 min
#13 882 35 12 2.92 0 444 520 620 115 76 min
#14 1112 34 17 2.0 0 616 220 1,080 3,048 76 min
#15 1097 34 20 1.7 0 560 640 340 810 59 min
#16 705 34 25 1.36 0 266 340 920 10 76 min
#17 897 32 36 0.89 1 702 860 280 120 76 min
#18 1375 32 17 1.88 0 507 220 680 25 55 min
#19 1195 32 30 1.07 0 378 100 960 45 76 min
#20 920 31 15 2.07 1 689 980 240 115 71 min
#21 907 28 5 5.6 1 2,103 540 940 300 76 min
#22 605 26 22 1.18 0 377 900 1,020 754 76 min
#23 747 26 18 1.44 0 363 860 460 330 76 min
#24 891 26 11 2.36 1 212 200 560 10 49 min
#25 1017 25 23 1.09 0 1,253 1,300 20 45 76 min
#26 834 25 16 1.56 0 419 560 780 341 78 min
#27 955 25 20 1.25 0 303 0 720 70 45 min
#28 498 24 2 12.0 5 634 300 1,180 10 78 min
#29 1110 24 31 0.77 1 264 180 980 45 76 min
#30 739 23 31 0.74 0 977 180 940 210 77 min
#31 944 23 19 1.21 0 560 220 520 230 57 min
#32 804 23 38 0.61 0 227 140 820 65 68 min
#33 1107 22 8 2.75 0 619 200 180 15 25 min
#34 861 22 13 1.69 0 432 1,040 380 465 76 min
#35 746 22 17 1.29 0 215 240 940 981 72 min
#36 693 21 37 0.57 1 792 860 300 165 76 min
#37 731 21 36 0.58 0 333 740 380 665 76 min
#38 640 21 19 1.11 1 192 1,000 300 775 76 min
#39 906 20 19 1.05 0 837 1,320 40 574 76 min
#40 1009 20 14 1.43 0 724 120 660 725 50 min
#41 677 19 37 0.51 1 177 140 840 666 68 min
#42 1052 18 14 1.29 0 267 140 200 15 24 min
#43 1040 18 19 0.95 1 212 440 540 65 59 min
#44 914 17 4 4.25 0 278 120 520 10 37 min
#45 636 17 27 0.63 1 196 820 440 465 76 min
#46 696 17 17 1.0 0 171 740 540 95 76 min
#47 1311 17 11 1.55 0 171 60 440 5 32 min
#48 747 17 23 0.74 0 131 120 1,040 2,896 78 min
#49 814 17 11 1.55 0 125 160 240 30 25 min
#50 514 16 29 0.55 0 162 560 680 395 76 min
#51 662 16 16 1.0 0 147 60 720 75 50 min
#52 16 4 4.0 0 142 20 260 15 16 min
#53 698 15 23 0.65 0 417 420 740 215 76 min
#54 740 15 31 0.48 0 252 140 540 10 56 min
#55 722 15 20 0.75 0 152 360 320 15 54 min
#56 981 14 22 0.64 0 260 220 480 115 47 min
#57 707 14 27 0.52 1 141 580 580 1,180 76 min
#58 609 13 4 3.25 0 555 200 800 0 52 min
#59 555 13 23 0.57 1 223 160 1,080 90 76 min
#60 892 13 28 0.46 0 218 100 460 160 51 min
#61 1029 13 6 2.17 0 154 200 80 20 23 min
#62 1046 13 7 1.86 0 119 340 20 5 22 min
#63 677 13 36 0.36 0 100 540 700 1,377 76 min
#64 821 12 19 0.63 0 134 320 180 220 41 min
#65 993 12 6 2.0 0 124 140 680 61 46 min
#66 844 12 17 0.71 1 121 600 260 270 61 min
#67 593 12 20 0.6 0 119 500 620 195 76 min
#68 565 11 20 0.55 0 263 200 1,040 85 76 min
#69 668 11 6 1.83 0 153 20 380 80 28 min
#70 647 11 18 0.61 0 139 840 500 505 76 min
#71 544 11 18 0.61 0 136 340 580 70 64 min
#72 564 11 13 0.85 0 123 200 380 0 44 min
#73 601 11 18 0.61 0 98 840 380 2,625 76 min
#74 586 10 19 0.53 0 1,998 940 400 20 76 min
#75 1535 10 2 5.0 0 285 0 420 30 25 min
#76 1247 10 8 1.25 0 281 260 220 190 26 min
#77 520 10 11 0.91 1 212 800 300 5 62 min
#78 893 10 8 1.25 0 103 280 80 95 24 min
#79 812 10 9 1.11 0 75 260 100 0 24 min
#80 569 9 20 0.45 2 410 380 860 320 76 min
#81 750 9 10 0.9 0 148 120 740 35 52 min
#82 438 9 25 0.36 0 103 260 1,020 45 76 min
#83 659 9 28 0.32 0 76 140 940 175 78 min
#84 684 9 6 1.5 0 70 100 180 0 25 min
#85 573 8 21 0.38 0 313 440 800 80 76 min
#86 8 2 4.0 0 257 220 100 5 18 min
#87 616 8 29 0.28 1 116 260 1,000 1,746 76 min
#88 560 8 35 0.23 0 93 180 1,020 383 78 min
#89 729 8 8 1.0 0 92 360 180 30 37 min
#90 605 8 10 0.8 0 85 180 360 0 35 min
#91 759 7 4 1.75 0 258 40 920 20 53 min
#92 790 7 4 1.75 0 200 60 380 540 28 min
#93 471 7 24 0.29 0 184 120 720 35 66 min
#94 602 7 26 0.27 0 74 200 820 45 76 min
#95 414 7 33 0.21 0 65 720 320 1,320 76 min
#96 610 5 1 5.0 0 849 420 1,520 350 64 min
#97 813 5 7 0.71 3 133 100 840 5 62 min
#98 727 5 6 0.83 0 57 40 340 20 28 min
#99 5 8 0.62 0 50 220 60 5 20 min
#100 5 6 0.83 0 45 20 100 85 14 min
#101 538 4 15 0.27 0 134 20 1,160 798 77 min
#102 815 4 5 0.8 7 128 100 680 45 61 min
#103 528 4 35 0.11 0 39 80 1,100 1,545 76 min
#104 4 2 2.0 0 37 80 20 35 7 min
#105 597 3 4 0.75 0 471 200 780 100 50 min
#106 3 1 3.0 0 153 160 60 40 17 min
#107 3 1 3.0 0 74 0 180 0 11 min
#108 438 3 15 0.2 0 58 260 800 634 61 min
#109 520 3 15 0.2 0 46 240 960 395 76 min
#110 727 3 11 0.27 0 33 120 120 0 25 min
#111 826 3 2 1.5 0 26 40 440 25 28 min
#112 624 3 3 1.0 0 22 40 220 40 28 min
#113 490 2 14 0.14 0 67 320 660 115 58 min
#114 2 3 0.67 0 64 0 180 0 14 min
#115 678 2 8 0.25 0 25 40 240 5 21 min
#116 2 1 2.0 0 23 0 60 122 6 min
#117 583 2 4 0.5 0 21 120 480 641 36 min
#118 2 3 0.67 0 21 40 140 10 14 min
#119 2 5 0.4 0 17 120 80 5 13 min
#120 2 6 0.33 0 14 20 120 95 13 min
#121 738 1 8 0.12 0 2,005 500 940 375 76 min
#122 662 1 17 0.06 0 1,976 960 400 401 76 min
#123 756 1 4 0.25 0 129 40 880 10 51 min
#124 440 1 4 0.25 1 98 20 820 0 60 min
#125 752 1 5 0.2 1 90 0 900 82 50 min
#126 581 1 5 0.2 4 37 100 540 25 44 min
#127 384 1 18 0.06 0 32 20 420 10 44 min
#128 1 3 0.33 0 19 20 320 5 19 min
#129 1 2 0.5 0 10 20 140 75 11 min
#130 1 1 1.0 1 8 60 60 0 12 min
#131 600 1 4 0.25 0 8 40 120 0 21 min
#132 918 1 3 0.33 1 4 80 220 1,290 23 min
#133 502 0 3 0.0 0 528 300 1,100 125 76 min
#134 0 2 0.0 4 20 0 200 30 14 min
#135 591 0 5 0.0 0 11 120 280 346 24 min
#136 0 1 0.0 0 5 20 100 0 17 min
#137 0 1 0.0 0 1 0 40 0 4 min
#138 0 4 0.0 0 1 60 0 0 7 min
#139 0 1 0.0 0 1 20 80 0 9 min
#140 0 0 0.0 0 0 20 20 75 4 min
#141 0 0 0.0 0 0 0 0 0 0 min
#142 0 0 0.0 0 0 0 0 0 7 min
#143 0 0 0.0 0 0 0 0 0 0 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 2 0.0 0 0 0 180 0 12 min
#146 0 0 0.0 0 0 0 0 0 11 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 20 0 1 min
#150 0 4 0.0 0 0 60 80 155 13 min
#151 0 1 0.0 0 0 0 40 0 8 min
#152 0 0 0.0 4 0 0 20 0 2 min
#153 0 0 0.0 0 0 0 0 0 26 min
#154 0 1 0.0 0 0 0 80 0 9 min
#155 0 0 0.0 0 0 0 20 0 2 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 1 0.0 0 0 0 20 25 7 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 0 0 0 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 3 min
#163 0 0 0.0 0 0 0 0 0 4 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 0 0 0 40 0 3 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 0 0.0 5 0 0 20 0 2 min
#168 0 0 0.0 0 0 0 0 0 1 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 0 0 0 min
#172 0 0 0.0 0 0 0 200 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 7 min
#175 0 0 0.0 0 0 0 0 0 0 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