smolensk_warfare_night

Smolensk Warfare Night

08.01.2026 21:25 | Ententeich 1

Result

5:0

Axis wins

Players

168

Total Kills

2,341

Allied Kills

1,248

Axis Kills

1,073

Match Duration

81 min

Kills/Min

29.0

High Match ELO

Allies 1383.0 (all: 832.0)
Ø Match 1234.0
Axis 1086.0 (all: 790.0)
Highly imbalanced

Player Statistics (168)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1780 109 32 3.41 0 1,384 840 300 480 76 min
#2 1737 75 43 1.74 1 1,509 880 220 460 76 min
#3 1458 69 33 2.09 1 1,083 1,000 260 103 76 min
#4 2047 69 43 1.6 0 1,000 480 660 2,993 76 min
#5 1056 61 6 10.17 2 1,810 400 1,060 10 76 min
#6 1127 57 26 2.19 0 640 780 460 305 76 min
#7 1513 54 33 1.64 0 897 780 420 922 77 min
#8 1032 54 25 2.16 0 873 680 600 565 76 min
#9 990 48 40 1.2 0 484 380 800 45 76 min
#10 993 47 11 4.27 1 1,419 360 1,060 20 76 min
#11 1087 39 10 3.9 2 680 100 1,280 250 78 min
#12 1014 39 22 1.77 0 438 820 420 890 77 min
#13 755 38 26 1.46 0 666 780 360 55 76 min
#14 1313 38 29 1.31 1 567 460 700 1,212 74 min
#15 951 35 17 2.06 0 505 660 500 235 78 min
#16 819 34 27 1.26 0 633 720 520 205 76 min
#17 750 33 15 2.2 0 577 940 300 60 77 min
#18 920 33 30 1.1 0 375 520 680 865 76 min
#19 611 30 17 1.76 1 535 100 1,160 100 79 min
#20 1060 29 18 1.61 0 575 300 1,040 3,873 78 min
#21 901 28 22 1.27 6 394 120 1,200 225 76 min
#22 961 28 22 1.27 0 305 500 400 50 67 min
#23 870 27 24 1.12 0 393 180 1,080 380 76 min
#24 899 26 20 1.3 0 747 420 740 1,190 76 min
#25 772 26 32 0.81 1 388 260 960 565 78 min
#26 1037 26 34 0.76 1 320 320 860 1,316 76 min
#27 764 25 27 0.93 0 1,072 200 1,040 2,599 76 min
#28 1077 25 15 1.67 0 910 960 460 529 76 min
#29 969 25 30 0.83 0 626 400 400 50 65 min
#30 893 25 33 0.76 0 618 420 740 779 76 min
#31 940 25 28 0.89 0 244 740 400 90 76 min
#32 589 25 33 0.76 0 236 480 660 150 76 min
#33 922 24 16 1.5 0 767 1,260 40 55 76 min
#34 851 24 43 0.56 1 362 720 380 320 76 min
#35 953 24 22 1.09 0 339 120 1,180 2,830 76 min
#36 910 24 23 1.04 0 313 20 1,140 30 75 min
#37 853 24 14 1.71 0 227 440 240 5 50 min
#38 1017 23 14 1.64 0 335 620 580 137 76 min
#39 831 23 16 1.44 0 196 560 500 240 76 min
#40 865 22 25 0.88 1 616 860 380 35 78 min
#41 605 22 37 0.59 0 348 480 620 480 77 min
#42 1042 22 10 2.2 0 255 380 200 5 34 min
#43 682 21 11 1.91 0 1,448 360 1,020 110 76 min
#44 817 21 24 0.88 0 498 160 880 420 78 min
#45 1010 20 10 2.0 1 329 380 340 5 42 min
#46 927 20 10 2.0 0 278 40 640 20 42 min
#47 844 19 17 1.12 0 1,156 1,260 100 587 76 min
#48 1006 19 15 1.27 0 512 100 1,120 936 79 min
#49 791 19 21 0.9 0 360 300 840 155 69 min
#50 1068 19 17 1.12 0 208 0 640 2,293 44 min
#51 790 18 17 1.06 0 343 120 1,080 95 76 min
#52 595 18 34 0.53 0 170 320 800 345 76 min
#53 466 18 17 1.06 0 166 240 880 200 76 min
#54 967 17 24 0.71 0 861 840 400 310 77 min
#55 979 17 28 0.61 0 587 420 460 245 62 min
#56 685 17 28 0.61 1 528 440 1,520 250 76 min
#57 719 17 13 1.31 0 465 1,300 120 70 76 min
#58 1255 17 15 1.13 0 255 0 360 85 31 min
#59 545 17 31 0.55 0 194 260 940 35 76 min
#60 754 16 13 1.23 0 709 1,100 220 875 77 min
#61 855 16 16 1.0 0 371 560 100 15 50 min
#62 590 15 24 0.62 0 276 100 520 5 49 min
#63 872 15 2 7.5 0 189 80 260 25 23 min
#64 679 14 23 0.61 0 697 680 560 1,160 76 min
#65 484 14 28 0.5 0 175 160 1,060 125 76 min
#66 892 14 7 2.0 0 130 360 180 245 36 min
#67 612 14 23 0.61 0 115 80 1,140 729 76 min
#68 571 14 34 0.41 0 112 520 420 285 66 min
#69 711 13 6 2.17 2 1,765 400 1,060 10 76 min
#70 631 13 25 0.52 0 180 140 1,200 294 76 min
#71 568 13 26 0.5 0 144 700 460 180 79 min
#72 741 13 22 0.59 0 141 320 520 60 52 min
#73 644 13 15 0.87 0 108 20 420 373 34 min
#74 683 12 15 0.8 1 509 360 1,760 290 53 min
#75 611 12 23 0.52 0 176 680 480 225 78 min
#76 703 12 17 0.71 0 160 520 100 10 42 min
#77 808 12 22 0.55 0 118 320 280 5 43 min
#78 637 11 7 1.57 0 457 580 420 75 58 min
#79 854 11 20 0.55 0 275 160 220 45 38 min
#80 597 11 10 1.1 0 270 460 240 35 43 min
#81 766 11 10 1.1 0 110 200 340 15 35 min
#82 10 5 2.0 1 525 140 20 30 14 min
#83 750 10 6 1.67 0 111 60 660 610 58 min
#84 618 9 7 1.29 0 108 200 340 0 32 min
#85 485 9 26 0.35 0 95 240 840 45 77 min
#86 734 9 16 0.56 0 81 760 580 190 76 min
#87 629 9 39 0.23 0 80 520 580 80 76 min
#88 749 8 11 0.73 0 140 400 20 0 30 min
#89 709 8 21 0.38 1 131 240 740 1,120 75 min
#90 461 8 17 0.47 1 126 200 1,100 778 76 min
#91 817 8 9 0.89 0 117 160 240 40 27 min
#92 1041 7 12 0.58 0 614 280 220 25 30 min
#93 761 7 8 0.88 0 182 340 1,200 185 33 min
#94 517 7 8 0.88 1 149 340 780 165 77 min
#95 624 7 13 0.54 1 63 0 440 175 45 min
#96 563 6 17 0.35 0 139 340 960 275 76 min
#97 508 6 28 0.21 0 111 660 560 355 76 min
#98 531 5 36 0.14 0 247 200 840 676 78 min
#99 781 5 16 0.31 0 72 120 720 15 54 min
#100 5 3 1.67 0 57 0 140 80 13 min
#101 5 7 0.71 0 51 40 140 40 14 min
#102 619 4 18 0.22 0 189 260 620 220 53 min
#103 515 4 19 0.21 0 154 380 680 244 77 min
#104 684 4 23 0.17 0 139 0 400 5 32 min
#105 642 4 3 1.33 0 93 300 100 0 22 min
#106 608 3 23 0.13 0 226 1,040 760 1,483 76 min
#107 635 3 3 1.0 0 55 160 80 25 21 min
#108 692 3 11 0.27 0 38 180 120 5 23 min
#109 3 3 1.0 0 32 100 20 0 11 min
#110 3 4 0.75 0 31 20 40 0 6 min
#111 3 10 0.3 0 31 40 180 25 17 min
#112 600 2 20 0.1 0 86 560 480 15 77 min
#113 411 2 27 0.07 0 52 360 720 0 76 min
#114 2 6 0.33 0 28 60 140 0 15 min
#115 2 6 0.33 0 18 80 40 5 13 min
#116 2 2 1.0 0 17 60 40 75 19 min
#117 2 1 2.0 0 16 0 40 0 2 min
#118 836 1 7 0.14 0 1,688 400 1,080 320 76 min
#119 478 1 13 0.08 0 69 120 460 90 46 min
#120 665 1 5 0.2 1 61 200 20 90 21 min
#121 1 5 0.2 0 25 160 0 0 16 min
#122 1 8 0.12 0 25 0 220 75 18 min
#123 798 1 9 0.11 2 19 60 220 120 24 min
#124 1 4 0.25 0 13 0 180 66 12 min
#125 1 4 0.25 0 13 100 60 5 13 min
#126 1 2 0.5 0 12 60 0 0 6 min
#127 588 1 6 0.17 1 12 180 160 0 23 min
#128 0 0 0.0 0 557 240 980 1,736 0 min
#129 0 3 0.0 0 302 100 40 10 9 min
#130 0 1 0.0 0 7 20 20 0 8 min
#131 0 3 0.0 0 7 0 40 0 7 min
#132 0 2 0.0 1 4 60 80 10 12 min
#133 446 0 13 0.0 0 3 20 240 10 24 min
#134 0 3 0.0 0 3 0 100 0 9 min
#135 0 1 0.0 0 2 0 20 0 2 min
#136 0 1 0.0 2 1 20 40 75 7 min
#137 0 0 0.0 0 1 0 60 0 4 min
#138 0 1 0.0 0 1 0 20 0 2 min
#139 0 0 0.0 0 0 0 0 0 4 min
#140 0 0 0.0 0 0 0 0 0 1 min
#141 0 0 0.0 0 0 0 20 0 3 min
#142 0 0 0.0 0 0 0 0 0 0 min
#143 0 0 0.0 0 0 0 0 0 0 min
#144 0 0 0.0 0 0 0 0 0 1 min
#145 0 0 0.0 0 0 0 0 0 1 min
#146 0 0 0.0 0 0 0 40 0 3 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 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 2 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 0 0 0 min
#153 0 0 0.0 0 0 0 0 0 2 min
#154 0 2 0.0 0 0 0 20 0 7 min
#155 0 0 0.0 0 0 0 0 0 0 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 0 0.0 0 0 0 0 0 0 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 0 0 1 min
#161 0 0 0.0 0 0 0 0 0 2 min
#162 0 0 0.0 0 0 0 20 0 3 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 0 min
#166 0 1 0.0 0 0 20 80 0 7 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