smolensk_warfare_dusk

Smolensk Warfare Dusk

05.01.2026 02:03 | Vanguarda_2

Result

3:2

Axis wins

Players

193

Total Kills

2,017

Allied Kills

1,045

Axis Kills

972

Match Duration

90 min

Kills/Min

22.4

High Match ELO

Allies 1312.0 (all: 778.0)
Ø Match 1210.0
Axis 1108.0 (all: 782.0)
Highly imbalanced

Player Statistics (193)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1524 90 37 2.43 0 1,654 400 1,020 120 87 min
#2 1247 56 25 2.24 0 926 620 700 64 85 min
#3 1029 55 21 2.62 0 502 460 860 0 88 min
#4 1557 49 13 3.77 0 365 200 800 65 59 min
#5 1198 46 17 2.71 1 549 700 520 45 73 min
#6 1689 44 16 2.75 0 417 260 420 30 55 min
#7 915 41 31 1.32 1 420 460 960 50 85 min
#8 807 37 18 2.06 0 605 360 1,220 2,101 88 min
#9 960 36 16 2.25 0 422 260 1,240 630 85 min
#10 796 35 33 1.06 0 562 1,060 340 805 85 min
#11 774 35 17 2.06 0 282 600 780 350 86 min
#12 676 32 30 1.07 4 719 900 1,080 175 85 min
#13 1011 31 21 1.48 0 509 640 660 295 80 min
#14 805 31 26 1.19 0 447 200 1,180 45 86 min
#15 888 31 24 1.29 1 390 460 880 480 84 min
#16 799 31 26 1.19 0 320 980 460 45 85 min
#17 936 30 13 2.31 0 299 160 540 15 44 min
#18 639 29 27 1.07 0 287 580 860 110 85 min
#19 563 28 5 5.6 1 661 280 1,440 0 85 min
#20 1090 27 22 1.23 0 328 800 580 10 83 min
#21 997 26 26 1.0 1 526 840 500 470 88 min
#22 1159 26 8 3.25 0 232 380 280 0 38 min
#23 835 24 16 1.5 2 993 640 360 60 85 min
#24 736 24 26 0.92 0 196 780 640 155 85 min
#25 834 23 16 1.44 0 688 1,320 200 67 85 min
#26 774 23 29 0.79 0 528 1,080 300 831 85 min
#27 1205 23 17 1.35 4 493 140 1,380 4,172 85 min
#28 774 23 32 0.72 0 259 720 700 1,782 85 min
#29 887 23 27 0.85 1 238 200 1,200 2,204 86 min
#30 819 22 27 0.81 1 597 860 560 135 85 min
#31 670 22 23 0.96 3 566 400 900 285 86 min
#32 881 21 16 1.31 0 377 80 1,380 3,268 86 min
#33 501 21 25 0.84 1 232 240 1,140 535 87 min
#34 639 21 21 1.0 0 176 920 400 190 84 min
#35 833 20 10 2.0 0 1,673 1,500 140 258 85 min
#36 19 1 19.0 0 362 120 180 328 85 min
#37 605 19 30 0.63 0 250 400 960 330 85 min
#38 949 19 9 2.11 0 237 380 320 60 42 min
#39 602 19 13 1.46 0 171 460 420 300 52 min
#40 859 19 29 0.66 0 157 560 680 195 85 min
#41 19 10 1.9 0 145 40 220 390 19 min
#42 808 18 14 1.29 0 190 300 1,060 385 74 min
#43 659 17 27 0.63 2 614 600 520 180 73 min
#44 940 17 30 0.57 0 314 760 580 2,195 85 min
#45 679 17 19 0.89 0 173 80 800 165 58 min
#46 925 17 12 1.42 2 164 100 460 104 35 min
#47 713 17 29 0.59 2 158 800 540 130 81 min
#48 597 16 19 0.84 1 305 560 800 125 85 min
#49 1108 16 10 1.6 0 165 100 240 15 22 min
#50 889 16 27 0.59 0 159 440 1,000 330 85 min
#51 548 16 17 0.94 0 153 260 1,020 40 80 min
#52 838 16 1 16.0 2 90 80 600 140 41 min
#53 716 15 8 1.88 2 710 480 840 220 76 min
#54 767 15 0 15.0 0 215 0 1,040 2,030 50 min
#55 610 15 30 0.5 0 210 140 900 30 76 min
#56 752 15 18 0.83 0 206 180 920 80 68 min
#57 606 15 9 1.67 0 188 280 720 750 59 min
#58 15 4 3.75 0 128 200 60 70 18 min
#59 15 1 15.0 0 104 20 220 0 12 min
#60 837 14 24 0.58 0 310 420 580 677 71 min
#61 909 14 5 2.8 0 168 620 140 358 41 min
#62 652 14 24 0.58 0 157 160 580 540 53 min
#63 790 14 17 0.82 0 138 700 580 661 74 min
#64 521 13 2 6.5 0 153 100 220 0 56 min
#65 1085 13 8 1.62 0 120 40 440 5 30 min
#66 624 12 7 1.71 0 756 320 1,080 125 84 min
#67 795 12 9 1.33 0 164 300 300 25 36 min
#68 945 12 5 2.4 0 108 160 360 80 30 min
#69 750 12 5 2.4 1 107 200 240 90 29 min
#70 11 15 0.73 0 182 140 160 120 88 min
#71 711 10 16 0.62 2 187 300 200 117 34 min
#72 843 10 5 2.0 0 134 180 380 20 34 min
#73 987 10 5 2.0 0 98 80 300 105 23 min
#74 648 9 13 0.69 0 303 60 880 365 62 min
#75 665 9 21 0.43 1 131 780 600 1,020 85 min
#76 718 9 14 0.64 0 98 200 340 20 38 min
#77 771 9 4 2.25 0 86 320 500 0 43 min
#78 8 6 1.33 0 128 60 60 5 13 min
#79 621 8 12 0.67 1 124 320 1,120 2,455 87 min
#80 8 12 0.67 0 97 140 160 10 20 min
#81 611 8 6 1.33 0 74 240 340 85 34 min
#82 745 8 7 1.14 0 72 60 300 25 27 min
#83 506 7 19 0.37 1 263 1,020 1,160 4,352 85 min
#84 712 7 23 0.3 1 139 220 1,300 665 85 min
#85 445 7 17 0.41 1 83 620 360 225 64 min
#86 807 7 9 0.78 0 69 200 180 30 31 min
#87 670 7 7 1.0 0 64 780 220 330 54 min
#88 710 7 9 0.78 0 63 80 240 80 22 min
#89 740 7 4 1.75 0 62 200 220 0 23 min
#90 570 6 14 0.43 0 113 500 400 85 85 min
#91 6 4 1.5 0 102 120 200 10 19 min
#92 904 6 6 1.0 0 71 200 280 180 28 min
#93 819 6 9 0.67 0 61 60 340 280 29 min
#94 586 6 9 0.67 0 60 40 1,000 20 58 min
#95 800 6 18 0.33 0 58 540 720 295 75 min
#96 648 6 12 0.5 0 56 260 360 0 41 min
#97 778 6 22 0.27 0 53 200 480 340 68 min
#98 695 6 6 1.0 0 38 200 420 35 41 min
#99 575 5 7 0.71 0 689 320 920 270 69 min
#100 675 5 6 0.83 1 610 200 1,500 190 85 min
#101 594 5 27 0.19 0 116 580 700 965 85 min
#102 485 5 26 0.19 0 113 260 680 340 68 min
#103 774 5 12 0.42 0 101 40 300 75 24 min
#104 643 5 9 0.56 0 67 80 220 75 24 min
#105 5 4 1.25 0 49 60 60 25 10 min
#106 784 5 13 0.38 0 37 580 360 270 76 min
#107 469 4 13 0.31 0 235 280 460 0 44 min
#108 4 7 0.57 0 177 20 60 5 16 min
#109 431 4 22 0.18 0 95 320 1,040 35 85 min
#110 636 4 18 0.22 0 93 460 480 15 65 min
#111 785 4 13 0.31 0 92 60 300 75 26 min
#112 4 3 1.33 0 91 160 20 35 13 min
#113 585 4 9 0.44 0 82 280 100 245 28 min
#114 688 4 7 0.57 0 42 40 460 45 34 min
#115 4 3 1.33 0 41 80 240 20 18 min
#116 4 5 0.8 0 32 60 180 0 17 min
#117 714 3 22 0.14 0 62 580 560 1,135 85 min
#118 586 3 15 0.2 0 55 20 380 180 30 min
#119 767 3 10 0.3 0 43 20 320 165 24 min
#120 565 3 4 0.75 0 38 120 160 90 20 min
#121 620 3 5 0.6 0 37 20 280 230 27 min
#122 3 4 0.75 0 31 0 260 0 17 min
#123 619 3 14 0.21 0 30 40 500 15 36 min
#124 549 3 0 3.0 0 22 240 40 0 49 min
#125 3 1 3.0 0 19 0 120 0 7 min
#126 441 2 6 0.33 0 106 200 820 35 26 min
#127 363 2 7 0.29 0 63 280 940 455 21 min
#128 697 2 16 0.12 0 34 520 240 300 51 min
#129 2 4 0.5 0 30 20 80 0 9 min
#130 643 2 6 0.33 0 19 80 40 5 23 min
#131 2 1 2.0 0 19 0 80 0 6 min
#132 533 1 11 0.09 2 329 40 1,320 530 85 min
#133 1 2 0.5 0 57 40 80 0 11 min
#134 447 1 11 0.09 0 19 180 400 245 37 min
#135 693 1 10 0.1 0 14 40 520 225 35 min
#136 1 2 0.5 0 12 80 80 5 13 min
#137 1 4 0.25 0 11 200 40 15 18 min
#138 1 2 0.5 0 11 40 20 0 7 min
#139 1 1 1.0 0 10 60 0 0 7 min
#140 1 3 0.33 0 9 20 220 0 18 min
#141 1 3 0.33 0 6 20 180 0 13 min
#142 666 0 30 0.0 0 82 380 980 85 85 min
#143 0 0 0.0 0 67 300 320 70 11 min
#144 509 0 3 0.0 0 53 20 380 10 22 min
#145 0 1 0.0 0 50 0 60 0 8 min
#146 0 0 0.0 0 35 240 380 165 0 min
#147 0 0 0.0 0 20 0 120 490 9 min
#148 0 4 0.0 0 12 140 60 75 17 min
#149 0 1 0.0 0 3 120 0 25 9 min
#150 0 4 0.0 0 2 0 40 0 4 min
#151 0 1 0.0 0 2 40 40 0 6 min
#152 0 1 0.0 0 2 0 100 0 7 min
#153 748 0 22 0.0 0 1 480 300 0 60 min
#154 406 0 3 0.0 0 1 40 240 20 24 min
#155 0 1 0.0 0 1 20 80 0 5 min
#156 0 0 0.0 1 1 0 0 0 0 min
#157 0 1 0.0 0 1 0 80 0 6 min
#158 0 0 0.0 0 0 0 0 0 0 min
#159 0 1 0.0 0 0 0 60 0 9 min
#160 0 1 0.0 0 0 40 60 0 7 min
#161 0 0 0.0 0 0 0 180 0 8 min
#162 0 0 0.0 0 0 0 0 0 2 min
#163 0 2 0.0 0 0 0 20 0 85 min
#164 0 0 0.0 0 0 0 0 0 3 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 1 0.0 0 0 20 0 0 2 min
#167 0 0 0.0 0 0 0 0 0 85 min
#168 0 2 0.0 0 0 0 160 75 10 min
#169 0 0 0.0 0 0 0 0 0 1 min
#170 0 0 0.0 0 0 0 220 0 0 min
#171 0 1 0.0 0 0 0 60 25 6 min
#172 0 3 0.0 0 0 0 100 75 6 min
#173 0 1 0.0 0 0 0 20 0 4 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 80 0 5 min
#176 0 4 0.0 0 0 0 200 0 14 min
#177 0 0 0.0 0 0 0 0 0 1 min
#178 0 1 0.0 0 0 0 0 0 4 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 0 0.0 0 0 0 0 0 0 min
#181 0 0 0.0 0 0 0 0 0 2 min
#182 0 3 0.0 0 0 40 80 0 9 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 40 100 0 0 min
#186 0 0 0.0 0 0 0 0 0 2 min
#187 0 0 0.0 0 0 0 0 0 85 min
#188 0 0 0.0 0 0 0 0 0 1 min
#189 0 1 0.0 0 0 0 80 0 7 min
#190 0 0 0.0 0 0 0 20 0 2 min
#191 0 2 0.0 1 0 0 100 0 10 min
#192 0 0 0.0 0 0 0 0 0 0 min
#193 0 0 0.0 0 0 0 0 0 0 min