smolensk_warfare_dusk

Smolensk Warfare Dusk

30.01.2026 02:40 | Vanguarda_2

Result

0:5

Allied wins

Players

209

Total Kills

1,514

Allied Kills

723

Axis Kills

791

Match Duration

70 min

Kills/Min

21.6

Normal Match ELO

Allies 1001.0 (all: 748.0)
Ø Match 1077.0
Axis 1152.0 (all: 792.0)
Imbalanced

Player Statistics (209)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1581 46 26 1.77 0 433 600 260 269 65 min
#2 1129 45 25 1.8 3 802 520 520 540 64 min
#3 1066 40 18 2.22 0 465 440 440 320 64 min
#4 1380 37 20 1.85 0 305 460 120 255 39 min
#5 1571 31 3 10.33 0 504 340 120 340 27 min
#6 987 29 20 1.45 0 262 60 960 280 60 min
#7 980 28 12 2.33 2 806 360 800 840 65 min
#8 819 28 13 2.15 0 623 980 260 35 65 min
#9 607 28 20 1.4 0 464 660 840 330 65 min
#10 770 28 17 1.65 0 455 600 500 65 65 min
#11 868 24 11 2.18 0 1,086 660 460 2,405 63 min
#12 728 24 19 1.26 0 275 260 1,020 85 65 min
#13 785 24 22 1.09 0 259 340 600 330 59 min
#14 932 24 9 2.67 0 224 680 500 110 65 min
#15 937 23 10 2.3 0 440 300 900 500 65 min
#16 735 23 12 1.92 0 209 340 880 80 65 min
#17 1050 22 14 1.57 0 243 420 680 0 50 min
#18 598 22 13 1.69 1 216 440 540 265 65 min
#19 815 20 7 2.86 0 244 0 1,140 70 65 min
#20 1046 20 9 2.22 0 240 300 440 170 42 min
#21 757 20 14 1.43 1 236 340 540 260 57 min
#22 928 20 11 1.82 0 216 400 280 40 45 min
#23 972 19 13 1.46 0 228 200 540 105 46 min
#24 908 18 15 1.2 1 220 300 920 10 65 min
#25 940 17 16 1.06 0 202 220 340 90 38 min
#26 601 17 12 1.42 0 147 40 720 10 46 min
#27 811 17 9 1.89 0 136 160 540 55 41 min
#28 972 17 10 1.7 0 126 340 140 340 38 min
#29 842 16 12 1.33 0 442 500 340 75 55 min
#30 674 16 15 1.07 1 207 420 380 135 48 min
#31 828 16 15 1.07 0 207 200 400 10 40 min
#32 583 15 13 1.15 0 265 380 680 100 56 min
#33 583 15 15 1.0 0 201 400 760 105 65 min
#34 868 15 14 1.07 1 182 180 860 60 62 min
#35 877 15 33 0.45 0 176 620 360 352 65 min
#36 492 15 22 0.68 0 141 420 680 545 66 min
#37 773 15 5 3.0 0 114 460 240 5 49 min
#38 844 14 28 0.5 0 592 380 580 0 65 min
#39 562 14 15 0.93 0 313 320 740 40 65 min
#40 932 14 14 1.0 0 294 440 680 4,369 64 min
#41 665 14 20 0.7 0 204 400 740 1,700 65 min
#42 965 14 14 1.0 0 190 420 100 60 39 min
#43 534 13 25 0.52 0 777 580 500 15 65 min
#44 747 13 5 2.6 0 320 320 780 70 57 min
#45 1182 13 15 0.87 0 264 220 100 0 33 min
#46 753 13 17 0.76 0 165 0 440 45 33 min
#47 652 13 1 13.0 0 158 240 900 1,440 63 min
#48 900 13 7 1.86 0 136 100 760 450 49 min
#49 855 13 5 2.6 1 93 60 600 1,760 37 min
#50 820 12 10 1.2 0 120 360 520 35 55 min
#51 12 3 4.0 1 96 120 60 20 17 min
#52 699 11 6 1.83 1 382 700 400 738 65 min
#53 803 11 17 0.65 0 294 400 500 100 65 min
#54 759 11 17 0.65 0 221 0 540 75 37 min
#55 629 11 24 0.46 1 170 420 540 160 65 min
#56 760 11 13 0.85 0 138 500 800 300 63 min
#57 696 11 14 0.79 0 118 520 380 80 67 min
#58 827 11 27 0.41 0 99 260 320 501 44 min
#59 592 11 5 2.2 0 97 380 580 110 59 min
#60 825 10 22 0.45 1 180 300 520 5 55 min
#61 828 10 7 1.43 0 148 540 200 110 41 min
#62 660 10 8 1.25 1 105 20 500 240 31 min
#63 745 10 10 1.0 0 102 580 440 50 65 min
#64 639 10 16 0.62 2 84 320 620 403 65 min
#65 792 10 18 0.56 0 82 420 600 10 65 min
#66 791 9 19 0.47 0 581 840 340 280 65 min
#67 861 9 23 0.39 0 308 660 340 354 65 min
#68 626 9 22 0.41 0 168 320 500 280 57 min
#69 759 9 19 0.47 0 158 300 560 1,060 54 min
#70 603 9 14 0.64 0 125 280 500 345 48 min
#71 571 9 13 0.69 0 125 340 880 280 68 min
#72 826 9 5 1.8 0 109 0 360 35 23 min
#73 752 9 16 0.56 0 100 300 400 35 43 min
#74 936 8 4 2.0 0 167 300 140 925 28 min
#75 830 8 10 0.8 1 131 160 280 30 27 min
#76 614 8 7 1.14 0 70 240 1,020 30 68 min
#77 797 8 10 0.8 0 61 360 140 45 37 min
#78 691 7 18 0.39 1 310 560 520 0 65 min
#79 671 7 3 2.33 2 97 0 500 20 27 min
#80 682 7 6 1.17 0 73 80 260 130 24 min
#81 7 6 1.17 0 63 220 0 0 16 min
#82 698 7 1 7.0 0 58 700 120 10 42 min
#83 709 6 7 0.86 0 194 0 1,140 30 65 min
#84 596 6 10 0.6 0 63 140 140 135 23 min
#85 6 1 6.0 0 63 20 220 15 14 min
#86 6 1 6.0 0 51 80 100 5 10 min
#87 822 6 9 0.67 0 41 240 20 400 23 min
#88 644 5 11 0.45 1 221 220 1,000 1,407 65 min
#89 697 5 16 0.31 0 101 340 840 504 65 min
#90 1089 5 7 0.71 0 74 40 280 140 20 min
#91 5 2 2.5 0 71 0 80 10 5 min
#92 841 5 9 0.56 1 65 140 660 2,654 47 min
#93 775 5 8 0.62 0 62 240 280 50 33 min
#94 5 3 1.67 0 56 20 280 80 19 min
#95 698 5 12 0.42 0 55 180 780 2,555 56 min
#96 566 5 23 0.22 0 51 520 500 90 65 min
#97 768 5 10 0.5 0 50 340 60 0 27 min
#98 550 5 12 0.42 0 46 300 740 50 65 min
#99 5 3 1.67 0 45 40 180 5 13 min
#100 820 5 4 1.25 0 42 60 280 20 22 min
#101 630 4 5 0.8 0 93 20 260 5 20 min
#102 682 4 8 0.5 0 89 160 300 100 31 min
#103 839 4 6 0.67 0 41 260 20 0 22 min
#104 806 4 6 0.67 0 35 0 300 75 20 min
#105 803 4 4 1.0 0 31 120 240 150 22 min
#106 4 3 1.33 0 28 140 100 20 18 min
#107 4 1 4.0 0 25 0 200 0 15 min
#108 559 3 12 0.25 0 91 380 40 220 29 min
#109 3 3 1.0 0 84 120 180 0 17 min
#110 3 1 3.0 0 42 0 220 0 14 min
#111 3 10 0.3 0 40 0 140 40 13 min
#112 584 3 8 0.38 0 40 240 200 5 27 min
#113 755 3 10 0.3 0 35 0 380 10 25 min
#114 3 2 1.5 0 30 40 20 80 4 min
#115 3 1 3.0 0 28 120 80 0 11 min
#116 765 3 4 0.75 0 28 360 80 20 29 min
#117 603 3 8 0.38 0 27 140 520 0 41 min
#118 484 3 15 0.2 1 27 140 360 0 34 min
#119 638 2 7 0.29 0 227 220 1,020 2,301 65 min
#120 709 2 5 0.4 0 207 0 980 75 57 min
#121 2 2 1.0 0 66 40 40 0 9 min
#122 2 1 2.0 0 33 120 0 75 8 min
#123 650 2 5 0.4 0 31 240 200 25 38 min
#124 2 4 0.5 0 28 80 100 0 14 min
#125 625 2 4 0.5 0 28 0 500 525 31 min
#126 750 2 4 0.5 0 23 240 240 250 31 min
#127 2 3 0.67 0 19 40 220 0 16 min
#128 2 3 0.67 0 19 120 40 0 11 min
#129 2 1 2.0 0 15 100 120 10 12 min
#130 445 2 5 0.4 0 15 720 160 15 61 min
#131 2 3 0.67 0 14 40 20 0 8 min
#132 1 4 0.25 0 53 40 200 80 17 min
#133 1 2 0.5 0 16 0 60 0 6 min
#134 620 1 3 0.33 0 14 80 260 0 20 min
#135 1 0 1.0 0 13 0 40 0 2 min
#136 1 1 1.0 0 12 60 0 0 5 min
#137 695 1 2 0.5 0 12 200 200 878 65 min
#138 1 4 0.25 0 12 160 20 5 15 min
#139 1 2 0.5 0 11 60 60 63 9 min
#140 1 1 1.0 0 11 0 80 0 6 min
#141 1 4 0.25 0 9 20 40 0 6 min
#142 575 1 5 0.2 2 6 220 140 15 22 min
#143 0 0 0.0 0 180 0 60 0 10 min
#144 0 1 0.0 1 151 140 140 0 19 min
#145 0 1 0.0 0 65 80 140 5 14 min
#146 0 0 0.0 0 21 100 220 255 65 min
#147 0 0 0.0 0 6 120 100 0 65 min
#148 0 2 0.0 0 3 100 20 0 7 min
#149 514 0 2 0.0 0 3 0 160 0 20 min
#150 0 4 0.0 0 2 40 80 5 10 min
#151 0 1 0.0 0 2 40 40 0 6 min
#152 0 7 0.0 0 2 0 180 0 15 min
#153 0 2 0.0 0 1 20 0 0 4 min
#154 0 1 0.0 0 1 60 0 0 3 min
#155 0 6 0.0 0 1 0 60 0 10 min
#156 0 2 0.0 0 1 100 20 0 8 min
#157 681 0 11 0.0 0 1 20 760 5 48 min
#158 0 0 0.0 0 1 0 0 0 1 min
#159 0 0 0.0 0 1 0 60 0 5 min
#160 0 3 0.0 0 1 60 180 0 15 min
#161 0 0 0.0 0 1 0 0 0 2 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 20 0 3 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 3 0.0 0 0 0 100 0 9 min
#167 0 0 0.0 0 0 0 40 0 5 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 1 0.0 0 0 0 80 0 5 min
#171 0 0 0.0 0 0 0 0 0 0 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 0 0.0 0 0 0 0 0 11 min
#174 0 1 0.0 0 0 0 0 0 3 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 1 min
#178 0 0 0.0 0 0 80 0 0 6 min
#179 0 0 0.0 0 0 0 0 0 2 min
#180 0 0 0.0 0 0 40 80 0 7 min
#181 0 0 0.0 0 0 0 0 0 1 min
#182 0 0 0.0 0 0 0 0 0 1 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 1 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 2 0.0 0 0 0 100 0 8 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 0 0.0 0 0 0 0 0 2 min
#191 0 0 0.0 0 0 0 0 0 1 min
#192 0 1 0.0 0 0 20 40 0 7 min
#193 0 0 0.0 0 0 0 60 15 6 min
#194 0 0 0.0 0 0 100 20 0 13 min
#195 0 0 0.0 0 0 0 0 0 1 min
#196 0 1 0.0 0 0 20 80 20 9 min
#197 0 3 0.0 0 0 20 0 150 4 min
#198 0 4 0.0 0 0 0 300 0 18 min
#199 0 0 0.0 1 0 0 40 0 4 min
#200 0 0 0.0 0 0 0 0 0 3 min
#201 0 0 0.0 0 0 0 0 0 1 min
#202 0 0 0.0 0 0 0 0 0 0 min
#203 0 1 0.0 0 0 0 0 0 1 min
#204 0 0 0.0 0 0 0 0 0 0 min
#205 0 0 0.0 0 0 0 0 0 2 min
#206 0 0 0.0 0 0 0 0 0 0 min
#207 0 0 0.0 0 0 0 0 0 0 min
#208 0 0 0.0 0 0 0 40 0 0 min
#209 0 1 0.0 0 0 40 80 232 6 min