smolensk_offensiveGer_night

Smolensk Offensive Night GER attack

05.01.2026 21:18 | POWERBITS GAMETEAM HLL OFFENSIVE | LOW PING

Result

4:1

Axis wins

Players

177

Total Kills

1,814

Allied Kills

1,050

Axis Kills

764

Match Duration

67 min

Kills/Min

27.2

High Match ELO

Allies 1356.0 (all: 877.0)
Ø Match 1260.0
Axis 1165.0 (all: 803.0)
Imbalanced

Player Statistics (177)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1580 69 31 2.23 0 906 160 800 225 62 min
#2 2102 62 20 3.1 0 647 160 700 465 62 min
#3 1312 61 7 8.71 4 1,133 40 1,120 140 62 min
#4 1463 47 23 2.04 4 719 40 920 865 62 min
#5 1430 40 32 1.25 0 321 640 240 870 64 min
#6 1012 39 16 2.44 0 683 180 620 560 51 min
#7 1380 39 20 1.95 0 546 540 420 294 62 min
#8 986 37 22 1.68 2 399 500 560 160 62 min
#9 1219 36 26 1.38 0 490 720 220 310 62 min
#10 1095 36 21 1.71 0 446 720 280 85 62 min
#11 983 35 23 1.52 0 572 0 1,000 1,382 62 min
#12 859 34 29 1.17 0 473 160 820 365 62 min
#13 1375 34 18 1.89 3 345 40 840 325 62 min
#14 819 31 10 3.1 0 731 700 440 386 63 min
#15 811 29 31 0.94 0 822 860 880 395 62 min
#16 768 28 19 1.47 1 354 320 660 895 64 min
#17 1050 27 13 2.08 0 736 500 580 105 63 min
#18 785 27 28 0.96 0 277 480 520 1,239 62 min
#19 997 27 11 2.45 0 269 240 240 0 34 min
#20 822 26 31 0.84 0 450 460 460 1,515 63 min
#21 1031 26 19 1.37 0 317 240 500 245 54 min
#22 1037 26 23 1.13 1 296 560 300 30 62 min
#23 1059 25 30 0.83 0 473 660 220 0 63 min
#24 1111 25 13 1.92 1 355 40 720 35 50 min
#25 619 24 19 1.26 0 211 260 800 225 63 min
#26 921 23 20 1.15 1 659 80 860 165 62 min
#27 855 23 8 2.88 0 234 0 1,160 90 62 min
#28 738 22 15 1.47 1 991 180 360 45 39 min
#29 823 22 35 0.63 0 610 680 220 738 63 min
#30 1167 22 34 0.65 0 202 620 180 20 63 min
#31 1085 22 16 1.38 2 202 160 840 30 62 min
#32 1174 21 15 1.4 0 244 140 500 195 46 min
#33 1063 21 9 2.33 0 215 0 720 360 45 min
#34 1104 20 13 1.54 0 215 80 400 359 32 min
#35 748 20 15 1.33 0 198 80 1,000 495 62 min
#36 587 19 28 0.68 0 335 740 1,000 375 63 min
#37 842 19 19 1.0 3 270 500 520 3,135 62 min
#38 626 18 8 2.25 0 538 500 460 15 66 min
#39 836 18 13 1.38 0 292 20 1,080 762 64 min
#40 804 17 18 0.94 0 573 380 160 175 39 min
#41 1097 17 20 0.85 2 326 320 180 140 40 min
#42 989 17 10 1.7 0 230 0 1,080 3,755 63 min
#43 931 16 30 0.53 0 311 420 440 550 62 min
#44 1050 15 7 2.14 0 286 220 500 105 42 min
#45 795 15 8 1.88 0 221 420 740 60 62 min
#46 775 14 20 0.7 0 446 100 780 205 62 min
#47 838 14 24 0.58 0 321 200 480 260 48 min
#48 864 14 14 1.0 0 188 240 860 2,787 63 min
#49 1050 14 19 0.74 0 142 260 340 375 46 min
#50 857 13 24 0.54 0 154 420 220 115 45 min
#51 537 13 17 0.76 0 145 340 480 0 54 min
#52 589 13 13 1.0 0 128 140 780 0 59 min
#53 911 12 9 1.33 1 371 140 420 115 37 min
#54 749 12 18 0.67 0 168 400 260 645 47 min
#55 733 12 11 1.09 0 140 760 320 339 62 min
#56 896 12 13 0.92 0 127 700 420 40 65 min
#57 749 12 10 1.2 0 100 380 360 85 60 min
#58 1082 11 9 1.22 0 354 140 160 10 21 min
#59 11 0 11.0 0 110 0 140 10 8 min
#60 11 7 1.57 0 100 200 0 0 15 min
#61 1218 10 8 1.25 0 240 420 740 105 62 min
#62 747 10 23 0.43 0 170 520 360 2,180 60 min
#63 1275 10 16 0.62 0 142 20 420 120 33 min
#64 816 10 27 0.37 0 118 300 260 90 41 min
#65 748 10 15 0.67 0 112 540 100 310 55 min
#66 718 10 22 0.45 0 99 220 800 380 62 min
#67 773 9 9 1.0 0 215 60 1,040 350 64 min
#68 810 9 20 0.45 0 95 340 280 1,025 43 min
#69 9 5 1.8 0 90 0 180 10 14 min
#70 925 9 11 0.82 0 81 200 160 110 27 min
#71 704 9 5 1.8 0 81 100 320 235 34 min
#72 9 8 1.12 0 78 80 140 300 15 min
#73 800 9 6 1.5 0 74 40 180 0 16 min
#74 563 8 9 0.89 0 371 460 660 20 62 min
#75 536 8 5 1.6 0 194 180 920 45 62 min
#76 669 8 16 0.5 0 132 360 240 165 39 min
#77 638 8 22 0.36 0 129 280 280 260 44 min
#78 899 8 9 0.89 0 115 0 1,120 2,860 62 min
#79 1023 8 9 0.89 0 84 100 80 5 31 min
#80 702 7 4 1.75 0 111 0 200 40 16 min
#81 692 7 5 1.4 0 74 0 260 75 21 min
#82 1016 7 1 7.0 0 54 280 360 1,620 32 min
#83 752 6 13 0.46 1 128 160 900 370 62 min
#84 736 6 11 0.55 0 115 140 660 739 51 min
#85 569 6 15 0.4 0 89 180 280 225 36 min
#86 838 6 10 0.6 0 67 80 1,020 625 62 min
#87 661 6 9 0.67 0 60 100 280 0 27 min
#88 1029 6 4 1.5 0 56 20 440 10 29 min
#89 647 6 20 0.3 0 56 200 240 0 35 min
#90 731 6 17 0.35 0 55 600 280 1,970 59 min
#91 479 6 25 0.24 0 48 260 420 320 56 min
#92 536 5 4 1.25 0 178 120 940 530 60 min
#93 644 5 24 0.21 0 106 140 880 1,820 64 min
#94 631 5 5 1.0 0 56 80 400 230 29 min
#95 1002 5 3 1.67 0 50 20 240 0 16 min
#96 524 5 5 1.0 0 47 140 200 35 22 min
#97 405 4 6 0.67 0 531 480 460 65 66 min
#98 753 4 3 1.33 0 221 160 540 115 42 min
#99 439 4 15 0.27 0 155 40 900 10 60 min
#100 589 4 9 0.44 0 92 60 380 110 29 min
#101 652 4 14 0.29 0 59 340 160 75 34 min
#102 535 4 23 0.17 0 48 400 240 790 48 min
#103 730 4 11 0.36 0 37 20 100 85 15 min
#104 618 4 10 0.4 0 37 40 400 15 28 min
#105 4 2 2.0 0 34 0 220 0 14 min
#106 4 7 0.57 0 30 180 0 0 15 min
#107 3 4 0.75 0 28 60 20 10 7 min
#108 3 6 0.5 0 23 100 60 0 14 min
#109 352 3 17 0.18 0 21 380 520 40 62 min
#110 834 2 8 0.25 1 379 460 660 60 62 min
#111 573 2 11 0.18 0 91 160 620 1,665 53 min
#112 570 2 9 0.22 0 37 80 920 805 60 min
#113 469 2 27 0.07 0 35 220 380 5 59 min
#114 788 2 3 0.67 0 29 0 360 100 21 min
#115 643 2 10 0.2 0 26 260 40 80 21 min
#116 747 2 11 0.18 0 21 80 240 0 27 min
#117 579 2 4 0.5 0 18 40 280 10 21 min
#118 2 0 2.0 0 16 0 200 5 11 min
#119 2 2 1.0 0 15 40 80 0 12 min
#120 559 2 6 0.33 0 13 220 200 0 24 min
#121 2 4 0.5 0 9 40 0 0 6 min
#122 1193 1 8 0.12 0 240 420 740 60 62 min
#123 591 1 9 0.11 0 66 60 140 0 17 min
#124 1 4 0.25 0 17 120 40 425 15 min
#125 787 1 10 0.1 0 13 20 120 5 23 min
#126 686 1 6 0.17 0 12 0 440 278 28 min
#127 0 0 0.0 0 374 540 240 215 0 min
#128 573 0 9 0.0 4 310 440 660 95 62 min
#129 0 2 0.0 0 220 280 840 175 5 min
#130 0 0 0.0 0 108 660 440 75 0 min
#131 560 0 5 0.0 1 54 140 180 180 24 min
#132 0 0 0.0 0 19 100 740 0 0 min
#133 584 0 16 0.0 0 14 140 800 1,425 64 min
#134 0 4 0.0 0 7 0 160 0 12 min
#135 0 8 0.0 0 1 20 100 110 12 min
#136 0 1 0.0 0 1 0 40 0 4 min
#137 0 0 0.0 0 0 0 0 0 0 min
#138 0 0 0.0 0 0 0 0 0 0 min
#139 0 0 0.0 0 0 0 0 0 0 min
#140 0 0 0.0 0 0 0 0 0 0 min
#141 0 0 0.0 0 0 0 0 0 0 min
#142 0 0 0.0 0 0 0 0 0 0 min
#143 0 2 0.0 0 0 40 40 0 12 min
#144 0 0 0.0 0 0 0 0 0 3 min
#145 0 0 0.0 0 0 0 0 0 14 min
#146 0 0 0.0 0 0 0 0 0 1 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 0 0 62 min
#149 0 1 0.0 0 0 0 20 0 3 min
#150 0 0 0.0 0 0 0 0 0 3 min
#151 0 1 0.0 0 0 20 0 0 3 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 1 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 1 min
#160 0 0 0.0 0 0 0 0 0 1 min
#161 0 0 0.0 0 0 0 0 0 1 min
#162 0 0 0.0 0 0 20 0 0 1 min
#163 0 1 0.0 0 0 0 20 0 6 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 0 0.0 0 0 0 0 0 62 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 0 0.0 0 0 0 60 30 6 min
#169 0 0 0.0 0 0 0 0 0 0 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 0 40 0 4 min
#173 0 0 0.0 0 0 0 0 0 1 min
#174 0 0 0.0 0 0 0 0 0 0 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 20 0 3 min