smolensk_offensiveGer_day

Smolensk Offensive Day GER attack

16.05.2026 23:25 | [L9] The Loyal Nine

Result

5:0

Axis wins

Players

182

Total Kills

2,141

Allied Kills

1,101

Axis Kills

1,040

Match Duration

84 min

Kills/Min

25.6

Normal Match ELO

Allies 1116.0 (all: 755.0)
Ø Match 1075.0
Axis 1034.0 (all: 773.0)

Player Statistics (182)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 926 76 16 4.75 1 1,825 720 760 4,034 79 min
#2 866 57 2 28.5 4 1,175 480 1,100 10 79 min
#3 1276 55 39 1.41 0 651 60 1,000 680 76 min
#4 1270 53 29 1.83 1 443 700 640 1,430 79 min
#5 691 50 3 16.67 0 1,288 280 1,100 135 72 min
#6 1249 48 36 1.33 0 498 40 1,140 1,081 79 min
#7 874 47 33 1.42 1 413 680 600 115 82 min
#8 1068 45 5 9.0 8 390 0 1,540 4,791 79 min
#9 783 44 23 1.91 0 389 220 1,160 15 79 min
#10 958 43 18 2.39 0 719 40 1,420 145 79 min
#11 1142 43 37 1.16 4 717 680 560 305 79 min
#12 761 43 24 1.79 0 535 140 1,020 380 79 min
#13 1007 43 34 1.26 1 389 120 860 99 67 min
#14 1005 42 14 3.0 0 455 240 900 110 79 min
#15 1253 39 17 2.29 0 561 40 1,400 519 79 min
#16 748 37 12 3.08 0 495 1,300 200 260 81 min
#17 1024 33 10 3.3 0 258 60 460 60 30 min
#18 913 31 23 1.35 2 570 960 380 110 79 min
#19 889 31 33 0.94 1 487 900 340 2,610 80 min
#20 1137 30 25 1.2 0 451 700 440 482 69 min
#21 1181 29 34 0.85 0 639 380 640 255 65 min
#22 550 29 15 1.93 1 639 180 1,580 288 79 min
#23 696 28 20 1.4 0 646 180 1,240 80 79 min
#24 893 28 31 0.9 1 523 920 560 640 79 min
#25 891 28 29 0.97 0 280 700 600 75 77 min
#26 763 28 35 0.8 0 260 120 1,120 295 78 min
#27 1029 27 34 0.79 0 644 700 360 385 70 min
#28 844 26 10 2.6 0 361 560 500 40 60 min
#29 692 26 32 0.81 0 325 640 440 170 78 min
#30 1207 25 9 2.78 0 218 0 380 120 23 min
#31 1060 24 16 1.5 0 222 80 600 145 43 min
#32 795 24 13 1.85 0 220 660 500 330 80 min
#33 828 22 6 3.67 5 316 40 1,280 660 79 min
#34 854 22 30 0.73 0 277 620 340 0 63 min
#35 927 21 34 0.62 0 481 760 560 1,533 79 min
#36 880 21 26 0.81 0 306 820 580 935 79 min
#37 907 20 17 1.18 0 598 80 640 110 46 min
#38 888 20 22 0.91 0 241 880 480 200 79 min
#39 798 20 12 1.67 0 207 80 480 0 41 min
#40 851 19 30 0.63 0 314 20 1,020 706 67 min
#41 634 19 25 0.76 0 186 640 580 1,070 76 min
#42 750 18 7 2.57 1 277 20 1,480 4,759 79 min
#43 745 17 23 0.74 0 370 160 740 215 64 min
#44 898 17 33 0.52 0 269 780 440 645 79 min
#45 647 17 3 5.67 0 229 40 400 10 34 min
#46 903 16 42 0.38 0 548 800 400 2,920 79 min
#47 875 16 15 1.07 0 371 160 420 910 43 min
#48 697 16 32 0.5 0 221 40 1,140 475 82 min
#49 655 16 21 0.76 0 160 700 340 990 72 min
#50 614 15 24 0.62 0 288 220 1,000 120 79 min
#51 821 15 12 1.25 0 157 20 820 10 48 min
#52 631 14 7 2.0 2 245 0 1,480 3,271 79 min
#53 710 14 23 0.61 0 218 20 1,060 0 67 min
#54 579 14 34 0.41 0 192 80 1,180 150 79 min
#55 602 14 16 0.88 0 185 760 440 980 79 min
#56 714 14 28 0.5 0 115 140 1,220 150 79 min
#57 686 13 4 3.25 1 1,166 280 1,200 275 75 min
#58 800 13 13 1.0 1 375 360 240 45 40 min
#59 847 13 19 0.68 0 281 500 300 465 54 min
#60 1040 13 16 0.81 0 170 80 460 175 39 min
#61 846 13 15 0.87 0 143 480 460 742 60 min
#62 610 13 20 0.65 0 115 620 640 305 79 min
#63 847 12 14 0.86 0 188 20 460 40 31 min
#64 797 12 31 0.39 0 111 520 780 1,145 79 min
#65 486 11 9 1.22 0 625 560 660 500 79 min
#66 660 11 3 3.67 0 347 60 1,360 305 79 min
#67 690 11 16 0.69 0 167 400 300 120 46 min
#68 728 11 21 0.52 0 132 60 660 35 49 min
#69 871 11 17 0.65 0 122 380 280 110 41 min
#70 829 10 3 3.33 0 141 220 120 175 20 min
#71 717 10 9 1.11 0 136 240 300 25 36 min
#72 818 10 4 2.5 0 128 200 300 0 29 min
#73 773 10 7 1.43 0 124 300 320 85 38 min
#74 640 10 22 0.45 0 112 620 740 145 79 min
#75 485 10 18 0.56 0 98 40 1,200 35 79 min
#76 783 9 2 4.5 1 1,164 480 1,100 35 79 min
#77 576 9 18 0.5 0 508 1,340 100 628 82 min
#78 781 9 6 1.5 1 295 80 740 50 49 min
#79 723 9 1 9.0 0 266 40 560 130 32 min
#80 606 9 25 0.36 1 144 120 1,160 75 79 min
#81 613 9 22 0.41 0 138 560 300 604 55 min
#82 894 9 17 0.53 0 98 60 420 0 36 min
#83 702 8 5 1.6 2 653 80 1,220 5 79 min
#84 621 8 32 0.25 0 121 120 700 10 62 min
#85 805 8 16 0.5 0 74 260 180 10 28 min
#86 779 8 10 0.8 0 58 120 380 10 32 min
#87 679 7 2 3.5 0 115 0 980 2,620 55 min
#88 801 7 10 0.7 1 101 440 180 1,342 41 min
#89 7 4 1.75 0 73 20 300 20 20 min
#90 593 6 15 0.4 0 142 20 700 230 31 min
#91 953 6 5 1.2 0 104 860 560 2,698 76 min
#92 6 7 0.86 0 82 100 220 5 20 min
#93 569 6 12 0.5 0 66 560 140 310 44 min
#94 593 6 12 0.5 1 66 600 760 410 82 min
#95 826 6 9 0.67 0 59 220 180 5 24 min
#96 841 6 5 1.2 0 57 40 340 20 22 min
#97 829 6 9 0.67 0 57 20 520 468 35 min
#98 6 4 1.5 0 47 180 100 5 17 min
#99 708 5 28 0.18 1 266 560 240 90 56 min
#100 491 5 7 0.71 0 80 440 420 10 51 min
#101 519 5 13 0.38 0 63 0 420 5 31 min
#102 823 5 11 0.45 0 50 120 240 150 25 min
#103 5 1 5.0 0 49 0 260 20 13 min
#104 596 5 8 0.62 0 48 0 420 135 26 min
#105 397 5 12 0.42 0 46 0 520 150 33 min
#106 533 5 7 0.71 0 45 60 480 150 33 min
#107 570 4 11 0.36 0 70 0 500 260 30 min
#108 799 4 11 0.36 0 66 440 180 95 41 min
#109 621 4 6 0.67 0 63 40 340 10 24 min
#110 711 4 6 0.67 0 49 0 340 0 21 min
#111 504 4 11 0.36 2 41 0 1,060 70 76 min
#112 4 1 4.0 0 22 60 180 15 13 min
#113 681 3 5 0.6 0 536 60 1,300 200 78 min
#114 609 3 12 0.25 0 221 20 1,200 1,565 70 min
#115 563 3 12 0.25 1 96 220 460 99 45 min
#116 547 3 19 0.16 0 90 540 280 712 57 min
#117 407 3 18 0.17 0 68 40 800 80 37 min
#118 616 3 4 0.75 0 50 40 440 105 30 min
#119 872 3 18 0.17 0 42 20 520 40 35 min
#120 692 3 9 0.33 0 38 260 460 1,355 40 min
#121 854 3 8 0.38 0 31 0 520 80 29 min
#122 3 0 3.0 0 23 80 0 0 4 min
#123 711 2 21 0.1 0 63 600 260 0 63 min
#124 444 2 5 0.4 0 62 0 560 160 35 min
#125 2 6 0.33 0 41 40 100 0 10 min
#126 728 2 11 0.18 0 38 240 340 20 38 min
#127 664 2 6 0.33 0 27 0 280 0 23 min
#128 482 2 20 0.1 1 27 280 200 30 49 min
#129 2 5 0.4 0 26 100 140 0 16 min
#130 763 2 6 0.33 0 22 200 220 0 24 min
#131 2 4 0.5 0 22 0 240 0 16 min
#132 706 1 2 0.5 0 1,102 480 1,080 340 79 min
#133 1 5 0.2 0 157 140 140 52 19 min
#134 1 2 0.5 0 108 80 380 150 9 min
#135 552 1 10 0.1 1 21 0 380 150 39 min
#136 1 4 0.25 0 20 200 60 10 20 min
#137 413 1 7 0.14 0 16 100 280 15 26 min
#138 1 6 0.17 0 15 80 200 300 19 min
#139 1 2 0.5 0 15 40 60 10 8 min
#140 1 6 0.17 0 13 40 100 0 14 min
#141 1 6 0.17 0 11 80 160 0 16 min
#142 1 1 1.0 0 11 60 20 0 8 min
#143 1 1 1.0 0 10 0 40 0 13 min
#144 1 2 0.5 1 7 20 0 0 4 min
#145 0 0 0.0 0 127 40 280 0 0 min
#146 0 0 0.0 0 23 140 140 85 0 min
#147 0 1 0.0 0 7 100 60 150 8 min
#148 0 2 0.0 0 2 0 20 0 30 min
#149 0 1 0.0 0 0 0 100 5 10 min
#150 0 1 0.0 0 0 0 120 0 9 min
#151 0 0 0.0 0 0 0 20 0 1 min
#152 0 0 0.0 0 0 0 0 0 2 min
#153 0 0 0.0 0 0 40 0 0 3 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 462 0 5 0.0 0 0 20 220 0 20 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 1 min
#158 0 2 0.0 0 0 0 20 0 3 min
#159 0 4 0.0 0 0 100 140 0 16 min
#160 0 0 0.0 0 0 0 0 0 1 min
#161 0 2 0.0 0 0 80 40 0 10 min
#162 0 0 0.0 0 0 0 0 0 2 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 1 min
#165 0 0 0.0 0 0 0 120 0 15 min
#166 0 1 0.0 0 0 20 0 0 1 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 0 0.0 0 0 40 0 0 4 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 2 0.0 0 0 0 20 0 4 min
#171 0 0 0.0 0 0 0 0 0 0 min
#172 0 0 0.0 0 0 0 0 0 2 min
#173 0 0 0.0 0 0 0 0 0 3 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 40 0 0 4 min
#177 0 2 0.0 0 0 0 40 0 3 min
#178 0 0 0.0 0 0 0 0 0 12 min
#179 0 0 0.0 0 0 0 0 0 3 min
#180 0 0 0.0 0 0 0 0 0 12 min
#181 0 0 0.0 0 0 0 300 0 14 min
#182 0 0 0.0 0 0 0 160 0 23 min