smolensk_offensiveGer_dusk

Smolensk Offensive Night GER attack

03.07.2026 09:18 | Glow's Battlegrounds :: Blueberry Dreams

Result

4:1

Axis wins

Players

174

Total Kills

2,147

Allied Kills

1,105

Axis Kills

1,042

Match Duration

81 min

Kills/Min

26.4

High Match ELO

Allies 1211.0 (all: 807.0)
Ø Match 1216.0
Axis 1221.0 (all: 789.0)

Player Statistics (174)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1706 95 44 2.16 1 1,109 620 340 535 72 min
#2 1118 55 30 1.83 0 842 220 960 315 77 min
#3 1144 54 21 2.57 0 803 360 700 230 66 min
#4 890 46 3 15.33 0 1,915 380 560 5 51 min
#5 1216 44 17 2.59 0 562 0 860 70 68 min
#6 1012 44 32 1.38 0 402 620 560 190 78 min
#7 691 44 37 1.19 0 375 720 400 360 78 min
#8 987 43 20 2.15 1 501 1,040 240 90 77 min
#9 712 42 29 1.45 1 387 740 460 195 77 min
#10 1287 41 10 4.1 1 582 420 280 480 45 min
#11 1235 41 18 2.28 0 425 660 60 335 46 min
#12 952 40 33 1.21 1 434 280 960 35 77 min
#13 1092 38 34 1.12 0 1,079 420 800 495 78 min
#14 1006 33 25 1.32 0 493 220 1,280 485 77 min
#15 881 31 9 3.44 0 915 340 960 95 81 min
#16 928 30 21 1.43 0 571 240 960 130 77 min
#17 813 29 17 1.71 1 711 40 1,140 741 75 min
#18 720 29 17 1.71 2 277 200 1,020 105 78 min
#19 612 29 10 2.9 2 275 0 1,180 570 75 min
#20 1689 28 9 3.11 0 394 100 820 40 53 min
#21 1238 28 14 2.0 3 336 0 420 711 27 min
#22 1362 28 22 1.27 2 331 100 1,040 690 71 min
#23 1339 26 7 3.71 1 722 580 540 5,074 64 min
#24 1033 26 30 0.87 0 339 460 620 1,229 71 min
#25 741 26 24 1.08 0 332 900 300 0 77 min
#26 559 26 7 3.71 9 210 0 1,380 2,349 78 min
#27 943 25 21 1.19 1 664 1,060 140 2,375 77 min
#28 1305 25 14 1.79 0 316 40 500 400 37 min
#29 728 25 25 1.0 0 272 520 740 445 78 min
#30 971 24 22 1.09 0 275 120 980 316 70 min
#31 828 23 23 1.0 3 384 760 540 2,048 77 min
#32 607 23 17 1.35 1 331 480 880 120 78 min
#33 1041 23 22 1.05 0 235 20 1,040 150 73 min
#34 1273 23 9 2.56 0 206 340 0 25 30 min
#35 814 22 18 1.22 0 257 700 580 755 77 min
#36 583 21 6 3.5 1 514 400 1,020 15 77 min
#37 926 21 14 1.5 0 308 140 420 0 41 min
#38 802 21 28 0.75 0 269 940 140 65 75 min
#39 863 20 32 0.62 4 244 20 1,020 180 74 min
#40 1044 20 16 1.25 0 197 0 400 80 28 min
#41 696 20 23 0.87 0 165 500 760 1,310 78 min
#42 816 19 15 1.27 1 527 100 920 420 69 min
#43 603 19 21 0.9 1 319 280 720 738 67 min
#44 816 19 35 0.54 0 261 700 260 390 68 min
#45 936 19 18 1.06 1 223 700 320 345 74 min
#46 909 19 6 3.17 0 211 20 620 95 40 min
#47 534 19 11 1.73 2 200 220 1,160 160 77 min
#48 1467 18 9 2.0 0 182 40 220 5 22 min
#49 794 17 17 1.0 1 558 100 320 0 46 min
#50 820 17 32 0.53 0 261 560 420 255 77 min
#51 770 17 14 1.21 0 242 700 660 170 77 min
#52 758 16 25 0.64 6 714 40 1,100 55 75 min
#53 691 16 14 1.14 0 374 100 720 40 52 min
#54 748 16 8 2.0 0 312 340 40 20 31 min
#55 730 16 24 0.67 0 262 420 260 95 48 min
#56 677 16 26 0.62 1 236 80 780 90 60 min
#57 1007 16 19 0.84 0 127 580 80 75 49 min
#58 586 15 36 0.42 0 249 220 920 240 77 min
#59 570 15 9 1.67 0 226 40 400 25 30 min
#60 687 15 21 0.71 0 181 620 620 525 77 min
#61 825 14 10 1.4 0 340 20 480 25 37 min
#62 758 14 22 0.64 1 257 1,000 340 654 77 min
#63 702 14 14 1.0 0 215 40 800 140 50 min
#64 637 14 24 0.58 1 176 160 1,040 390 77 min
#65 607 14 10 1.4 0 150 140 1,020 165 68 min
#66 699 14 23 0.61 1 133 120 1,020 460 75 min
#67 13 0 13.0 0 602 80 260 5 19 min
#68 782 13 26 0.5 0 193 900 240 180 72 min
#69 635 13 27 0.48 1 157 740 400 880 77 min
#70 537 13 25 0.52 0 110 380 180 75 50 min
#71 570 12 9 1.33 0 494 220 320 30 33 min
#72 728 12 36 0.33 1 326 140 1,060 671 77 min
#73 666 12 26 0.46 0 198 660 580 606 77 min
#74 825 12 24 0.5 1 153 520 320 195 71 min
#75 12 2 6.0 0 92 180 0 75 12 min
#76 780 11 12 0.92 0 307 0 300 5 24 min
#77 694 11 19 0.58 0 274 60 480 1,260 38 min
#78 782 11 24 0.46 0 169 720 520 3,640 77 min
#79 763 11 9 1.22 0 154 20 540 75 36 min
#80 605 11 38 0.29 0 138 140 960 273 77 min
#81 731 11 17 0.65 0 105 100 700 1,240 57 min
#82 623 10 15 0.67 0 190 900 80 820 59 min
#83 854 10 12 0.83 0 173 80 780 156 54 min
#84 811 10 18 0.56 2 104 980 180 795 77 min
#85 893 9 14 0.64 1 243 380 280 885 45 min
#86 9 4 2.25 0 182 0 260 15 17 min
#87 683 9 20 0.45 0 90 0 940 520 70 min
#88 1021 8 15 0.53 0 188 240 160 0 31 min
#89 627 8 31 0.26 3 98 480 180 100 63 min
#90 853 8 10 0.8 0 94 600 160 25 49 min
#91 926 8 9 0.89 0 89 140 380 180 32 min
#92 557 7 28 0.25 0 103 560 380 40 68 min
#93 837 7 5 1.4 0 74 40 480 80 35 min
#94 553 7 25 0.28 0 72 680 140 180 62 min
#95 558 6 11 0.55 0 195 0 1,160 1,775 79 min
#96 724 6 19 0.32 0 182 40 560 325 43 min
#97 745 6 11 0.55 0 169 60 300 175 25 min
#98 484 6 24 0.25 0 54 500 620 225 75 min
#99 754 6 11 0.55 0 49 100 620 75 49 min
#100 630 5 5 1.0 0 1,796 360 600 135 53 min
#101 810 5 6 0.83 2 725 100 1,060 50 66 min
#102 405 5 24 0.21 0 67 680 460 990 77 min
#103 563 5 26 0.19 0 60 160 1,000 655 77 min
#104 5 6 0.83 0 59 260 40 80 19 min
#105 496 5 12 0.42 0 53 400 700 20 68 min
#106 756 5 16 0.31 0 52 520 320 395 72 min
#107 673 5 7 0.71 0 49 0 520 25 30 min
#108 734 4 8 0.5 0 331 200 840 115 59 min
#109 4 8 0.5 0 69 0 180 300 17 min
#110 851 4 7 0.57 0 62 60 480 5 31 min
#111 3 4 0.75 0 105 180 80 75 19 min
#112 423 3 15 0.2 0 37 180 480 135 47 min
#113 3 8 0.38 0 37 180 60 75 17 min
#114 2 1 2.0 0 107 60 120 55 12 min
#115 455 2 3 0.67 0 87 160 620 0 58 min
#116 2 3 0.67 0 38 0 120 5 9 min
#117 472 2 12 0.17 0 34 40 260 0 41 min
#118 620 2 7 0.29 0 22 0 400 944 31 min
#119 938 2 6 0.33 1 20 0 460 2,224 35 min
#120 738 2 7 0.29 0 19 20 200 300 24 min
#121 2 4 0.5 0 13 100 0 0 6 min
#122 1 2 0.5 0 67 0 100 235 8 min
#123 1 5 0.2 0 62 0 180 145 12 min
#124 504 1 15 0.07 0 25 0 380 40 32 min
#125 1 5 0.2 0 18 0 100 0 14 min
#126 1 4 0.25 0 16 140 100 195 15 min
#127 1 4 0.25 0 16 200 80 10 19 min
#128 403 1 3 0.33 0 13 0 420 0 24 min
#129 1 2 0.5 0 12 0 80 0 8 min
#130 1 7 0.14 0 12 20 260 80 17 min
#131 1 1 1.0 0 9 20 20 0 7 min
#132 1 2 0.5 0 8 80 20 0 16 min
#133 1 1 1.0 0 7 0 80 0 6 min
#134 637 0 4 0.0 0 1,745 360 500 190 50 min
#135 0 0 0.0 0 15 0 180 25 0 min
#136 776 0 3 0.0 0 6 340 120 125 26 min
#137 0 2 0.0 0 5 0 80 75 7 min
#138 0 2 0.0 0 3 60 0 75 6 min
#139 0 4 0.0 0 2 60 0 0 6 min
#140 0 3 0.0 0 0 0 140 5 9 min
#141 0 0 0.0 0 0 0 0 0 0 min
#142 0 1 0.0 0 0 0 40 0 4 min
#143 0 0 0.0 0 0 0 60 0 6 min
#144 0 0 0.0 0 0 0 0 0 1 min
#145 0 4 0.0 0 0 0 180 0 19 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 0 1 0.0 0 0 0 0 0 21 min
#148 0 4 0.0 0 0 0 100 0 9 min
#149 0 0 0.0 0 0 0 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 11 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 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 60 0 0 4 min
#157 0 0 0.0 0 0 0 0 0 14 min
#158 0 0 0.0 0 0 0 0 0 0 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 0 min
#162 0 0 0.0 0 0 0 0 0 2 min
#163 0 0 0.0 0 0 0 0 0 1 min
#164 0 0 0.0 0 0 0 0 0 20 min
#165 0 1 0.0 0 0 0 0 0 4 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 1 0.0 0 0 0 40 0 5 min
#168 0 2 0.0 0 0 0 20 0 14 min
#169 0 0 0.0 0 0 0 0 0 1 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 0 0 2 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 0 0 0 min