smolensk_offensiveGer_dusk

Smolensk Offensive Night GER attack

08.06.2026 13:21 | POWERBITS GAMETEAM HLL OFFENSIVE | LOW PING

Result

5:0

Axis wins

Players

194

Total Kills

1,329

Allied Kills

572

Axis Kills

757

Match Duration

55 min

Kills/Min

24.1

Normal Match ELO

Allies 1047.0 (all: 743.0)
Ø Match 1110.0
Axis 1174.0 (all: 795.0)
Imbalanced

Player Statistics (194)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1365 63 20 3.15 0 1,015 600 240 390 51 min
#2 1077 49 15 3.27 0 684 360 560 45 51 min
#3 1428 45 19 2.37 1 522 340 240 489 51 min
#4 1273 41 13 3.15 0 361 500 320 165 51 min
#5 1209 39 25 1.56 0 577 80 740 370 51 min
#6 940 39 5 7.8 0 316 360 560 10 48 min
#7 949 36 16 2.25 0 345 280 600 404 51 min
#8 610 30 1 30.0 0 538 180 820 120 50 min
#9 1144 30 23 1.3 1 425 220 440 75 45 min
#10 811 29 12 2.42 1 939 0 900 2,834 53 min
#11 878 29 5 5.8 0 488 720 240 2,360 51 min
#12 1089 29 15 1.93 0 440 500 340 20 51 min
#13 1086 29 8 3.62 0 409 580 220 509 48 min
#14 926 27 23 1.17 0 355 140 680 200 53 min
#15 959 27 10 2.7 0 276 120 740 30 49 min
#16 900 25 9 2.78 0 267 240 720 10 51 min
#17 646 24 4 6.0 0 680 600 400 145 51 min
#18 908 22 13 1.69 0 379 340 320 285 51 min
#19 842 22 13 1.69 0 368 680 240 85 52 min
#20 994 22 13 1.69 0 207 420 180 170 34 min
#21 1042 21 16 1.31 0 470 580 300 974 51 min
#22 760 21 12 1.75 0 328 540 180 165 43 min
#23 867 19 10 1.9 0 457 620 280 2,369 51 min
#24 1062 19 19 1.0 0 415 60 640 270 46 min
#25 1173 18 22 0.82 0 398 240 520 900 52 min
#26 871 17 27 0.63 3 255 20 780 305 51 min
#27 826 15 2 7.5 0 353 300 720 205 51 min
#28 919 15 5 3.0 2 249 140 120 75 30 min
#29 1100 14 8 1.75 0 354 460 60 95 30 min
#30 799 14 11 1.27 0 296 360 460 130 48 min
#31 715 14 16 0.88 0 150 340 340 150 40 min
#32 751 13 12 1.08 0 150 0 840 90 50 min
#33 1119 13 10 1.3 0 130 20 340 155 26 min
#34 13 8 1.62 0 122 120 200 0 20 min
#35 613 12 11 1.09 0 414 320 580 225 51 min
#36 730 12 2 6.0 0 390 300 720 80 51 min
#37 839 12 22 0.55 0 143 60 520 0 38 min
#38 873 12 13 0.92 0 115 100 460 5 38 min
#39 787 11 12 0.92 1 317 460 460 1,805 51 min
#40 676 11 11 1.0 0 113 220 280 125 32 min
#41 592 11 18 0.61 0 109 480 340 575 52 min
#42 764 11 8 1.38 2 98 360 480 240 48 min
#43 1034 10 16 0.62 0 199 580 280 224 52 min
#44 853 10 8 1.25 0 100 340 520 85 48 min
#45 579 9 19 0.47 0 104 120 700 485 51 min
#46 867 9 16 0.56 0 99 100 340 185 36 min
#47 837 9 15 0.6 1 93 300 120 0 32 min
#48 9 4 2.25 1 93 0 200 80 13 min
#49 517 9 18 0.5 0 91 120 660 0 50 min
#50 696 9 15 0.6 0 85 320 360 10 44 min
#51 8 6 1.33 0 89 200 60 70 17 min
#52 8 4 2.0 0 87 0 200 75 14 min
#53 701 8 4 2.0 0 78 220 240 580 28 min
#54 581 8 12 0.67 0 78 280 180 85 34 min
#55 638 8 7 1.14 0 76 340 300 5 41 min
#56 650 7 13 0.54 0 161 0 580 280 52 min
#57 542 7 11 0.64 0 81 380 560 0 51 min
#58 677 7 29 0.24 0 64 500 300 858 51 min
#59 751 6 7 0.86 0 157 220 160 5 24 min
#60 571 6 5 1.2 0 119 100 520 75 33 min
#61 745 6 13 0.46 0 111 160 660 1,353 52 min
#62 492 6 10 0.6 0 80 320 180 305 40 min
#63 861 6 16 0.38 0 69 460 220 1,145 44 min
#64 780 6 14 0.43 0 69 180 280 176 35 min
#65 804 6 14 0.43 0 65 20 700 185 48 min
#66 786 5 8 0.62 0 266 560 360 286 51 min
#67 519 5 1 5.0 0 264 280 400 15 34 min
#68 641 5 12 0.42 0 259 280 560 95 53 min
#69 1190 5 4 1.25 0 199 160 220 1,210 29 min
#70 883 5 7 0.71 0 156 360 60 0 29 min
#71 584 5 5 1.0 0 141 300 340 50 37 min
#72 918 5 11 0.45 0 53 80 280 540 26 min
#73 5 3 1.67 0 45 160 120 0 16 min
#74 564 5 2 2.5 2 39 160 180 0 22 min
#75 583 4 2 2.0 1 522 220 800 120 51 min
#76 615 4 26 0.15 0 213 240 580 150 51 min
#77 773 4 20 0.2 0 119 460 360 85 50 min
#78 654 4 11 0.36 2 116 20 880 3,175 52 min
#79 690 4 9 0.44 0 97 200 140 0 27 min
#80 739 4 14 0.29 0 68 80 400 80 34 min
#81 610 4 13 0.31 0 66 20 420 170 34 min
#82 530 4 6 0.67 0 66 380 420 25 45 min
#83 672 4 15 0.27 0 65 440 180 780 37 min
#84 756 4 14 0.29 1 60 0 480 125 35 min
#85 809 4 8 0.5 1 49 320 740 348 51 min
#86 4 7 0.57 0 47 20 260 25 18 min
#87 4 6 0.67 0 38 0 120 15 9 min
#88 635 4 8 0.5 0 36 280 660 422 51 min
#89 4 5 0.8 0 35 0 100 25 9 min
#90 744 4 6 0.67 0 35 100 240 0 25 min
#91 4 5 0.8 0 27 60 20 0 5 min
#92 733 3 7 0.43 0 151 60 340 40 26 min
#93 487 3 8 0.38 0 74 100 500 35 34 min
#94 3 3 1.0 0 47 0 120 15 7 min
#95 473 3 14 0.21 0 41 60 340 80 30 min
#96 3 3 1.0 0 37 40 40 0 7 min
#97 469 3 22 0.14 0 35 100 540 620 51 min
#98 680 3 6 0.5 0 32 80 740 508 51 min
#99 3 3 1.0 0 28 0 180 0 10 min
#100 2 3 0.67 0 81 0 120 5 8 min
#101 436 2 15 0.13 0 73 140 660 20 51 min
#102 2 2 1.0 0 66 0 200 496 13 min
#103 528 2 5 0.4 1 33 80 400 170 43 min
#104 2 2 1.0 0 31 100 80 40 14 min
#105 807 2 5 0.4 0 31 220 140 10 23 min
#106 2 9 0.22 0 29 40 200 5 16 min
#107 588 2 12 0.17 0 28 300 320 0 37 min
#108 923 2 9 0.22 0 25 20 260 160 22 min
#109 708 2 8 0.25 0 24 0 480 75 32 min
#110 2 9 0.22 0 21 20 200 10 16 min
#111 442 2 5 0.4 0 21 180 140 300 22 min
#112 2 1 2.0 0 18 40 0 5 5 min
#113 2 1 2.0 0 18 160 100 15 15 min
#114 677 1 6 0.17 0 32 80 400 150 39 min
#115 1 2 0.5 0 31 60 80 0 8 min
#116 1 6 0.17 0 23 120 180 30 18 min
#117 594 1 8 0.12 0 18 200 500 0 42 min
#118 1 1 1.0 0 14 20 0 5 2 min
#119 1 2 0.5 0 14 40 40 0 5 min
#120 457 1 3 0.33 0 13 160 260 0 27 min
#121 1 6 0.17 0 11 60 80 160 12 min
#122 1 7 0.14 1 10 0 220 0 14 min
#123 1 2 0.5 0 8 20 220 0 13 min
#124 1 1 1.0 0 7 40 0 0 4 min
#125 1 1 1.0 0 5 0 60 150 4 min
#126 0 1 0.0 0 504 160 720 120 51 min
#127 713 0 9 0.0 0 59 340 320 10 40 min
#128 0 0 0.0 0 33 180 0 10 0 min
#129 0 2 0.0 0 14 0 80 0 4 min
#130 0 4 0.0 0 13 0 360 5 10 min
#131 595 0 6 0.0 0 12 340 640 210 51 min
#132 429 0 8 0.0 0 7 60 560 250 50 min
#133 518 0 11 0.0 0 7 80 380 10 31 min
#134 0 4 0.0 0 5 0 120 5 13 min
#135 0 3 0.0 0 4 200 60 95 16 min
#136 711 0 10 0.0 0 3 0 160 80 21 min
#137 0 1 0.0 0 3 0 120 190 9 min
#138 0 0 0.0 0 2 180 0 0 1 min
#139 0 2 0.0 0 1 20 100 50 11 min
#140 578 0 7 0.0 1 1 120 180 5 20 min
#141 0 2 0.0 0 1 0 80 0 6 min
#142 0 1 0.0 0 1 60 20 5 7 min
#143 0 1 0.0 0 1 0 20 0 3 min
#144 0 2 0.0 0 0 0 40 0 4 min
#145 0 1 0.0 0 0 0 20 75 5 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 0 2 0.0 0 0 0 60 0 5 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 1 0.0 0 0 0 0 0 2 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 0 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 1 0.0 0 0 40 0 0 3 min
#156 0 1 0.0 0 0 0 40 0 5 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 4 0.0 0 0 0 200 5 12 min
#160 0 0 0.0 0 0 0 0 0 0 min
#161 0 1 0.0 0 0 0 40 0 4 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 0 0 1 min
#164 0 0 0.0 0 0 0 0 0 6 min
#165 0 1 0.0 0 0 20 0 10 6 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 0 0.0 0 0 0 0 0 5 min
#168 0 0 0.0 0 0 0 0 0 5 min
#169 0 0 0.0 0 0 0 60 0 3 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 1 0.0 0 0 20 0 5 3 min
#173 0 0 0.0 0 0 0 0 0 5 min
#174 0 0 0.0 0 0 0 0 0 1 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 2 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 20 0 3 min
#180 0 0 0.0 0 0 0 0 0 2 min
#181 0 0 0.0 0 0 0 0 0 6 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 0 0.0 0 0 0 40 0 2 min
#186 0 0 0.0 0 0 0 0 0 5 min
#187 0 2 0.0 0 0 120 40 375 10 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 0 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 2 0.0 0 0 20 0 0 3 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 0 0.0 0 0 0 40 0 2 min