smolensk_offensiveGer_dusk

Smolensk Offensive Night GER attack

12.03.2026 18:07 | #3 EXD.gg

Result

4:1

Axis wins

Players

193

Total Kills

2,307

Allied Kills

1,110

Axis Kills

1,185

Match Duration

86 min

Kills/Min

26.7

High Match ELO

Allies 1112.0 (all: 752.0)
Ø Match 1242.0
Axis 1373.0 (all: 828.0)
Highly imbalanced

Player Statistics (193)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 979 161 6 26.83 0 2,542 820 760 5 82 min
#2 1903 97 7 13.86 1 1,900 440 960 2,330 80 min
#3 1508 75 56 1.34 0 1,242 840 260 250 82 min
#4 1468 71 27 2.63 1 1,091 460 800 3,359 79 min
#5 1229 71 26 2.73 0 896 240 1,220 1,141 84 min
#6 1042 64 29 2.21 0 691 760 600 150 84 min
#7 1259 62 15 4.13 0 647 80 1,400 95 82 min
#8 882 57 33 1.73 0 989 240 1,080 40 83 min
#9 801 51 15 3.4 7 483 100 1,380 3,964 82 min
#10 1131 48 21 2.29 1 511 980 500 325 82 min
#11 616 46 16 2.88 0 549 300 1,600 70 82 min
#12 1072 45 26 1.73 1 472 200 1,180 40 82 min
#13 1359 43 44 0.98 0 478 900 360 1,568 82 min
#14 1080 36 31 1.16 0 417 660 260 115 66 min
#15 1066 34 15 2.27 0 435 580 680 806 82 min
#16 934 33 35 0.94 0 308 160 1,140 850 82 min
#17 1033 32 23 1.39 0 300 200 720 541 58 min
#18 1006 31 13 2.38 0 361 0 840 165 48 min
#19 1282 30 23 1.3 0 426 320 320 45 42 min
#20 858 30 33 0.91 1 335 160 1,120 635 82 min
#21 884 30 10 3.0 0 257 40 840 535 53 min
#22 911 29 31 0.94 0 420 120 1,260 105 82 min
#23 1250 29 20 1.45 1 354 80 880 30 62 min
#24 978 28 15 1.87 0 481 560 180 80 44 min
#25 913 27 27 1.0 0 1,174 1,080 380 703 82 min
#26 722 27 22 1.23 1 432 360 1,040 30 84 min
#27 742 27 29 0.93 1 268 100 740 280 59 min
#28 651 24 7 3.43 0 679 60 940 40 53 min
#29 1113 24 18 1.33 2 413 840 460 75 82 min
#30 625 23 24 0.96 0 226 40 1,020 312 71 min
#31 662 23 29 0.79 0 218 840 320 490 77 min
#32 758 22 23 0.96 0 232 780 640 225 82 min
#33 1210 21 11 1.91 0 252 300 260 0 52 min
#34 1194 21 5 4.2 0 223 320 280 10 33 min
#35 941 19 7 2.71 0 306 500 300 420 52 min
#36 839 18 28 0.64 0 444 940 360 1,760 82 min
#37 791 18 15 1.2 0 433 460 960 1,218 81 min
#38 857 18 38 0.47 1 215 920 380 120 82 min
#39 676 18 14 1.29 0 145 60 580 768 82 min
#40 763 17 18 0.94 0 147 660 140 0 50 min
#41 954 16 8 2.0 0 189 60 400 15 28 min
#42 633 16 22 0.73 0 163 140 800 25 60 min
#43 1005 16 4 4.0 0 158 100 260 20 21 min
#44 610 15 20 0.75 5 479 860 520 295 82 min
#45 786 15 31 0.48 0 214 80 1,220 605 82 min
#46 689 15 28 0.54 0 168 840 520 185 82 min
#47 610 14 5 2.8 0 684 60 960 105 53 min
#48 829 14 18 0.78 0 505 880 100 300 57 min
#49 794 14 33 0.42 2 480 920 200 300 76 min
#50 1018 14 6 2.33 2 289 80 280 35 35 min
#51 796 14 24 0.58 0 207 0 700 5 49 min
#52 577 13 27 0.48 0 178 680 280 355 82 min
#53 1413 12 3 4.0 1 2,056 420 1,060 2,020 78 min
#54 974 12 5 2.4 0 299 60 460 5 28 min
#55 560 12 24 0.5 0 224 580 340 210 74 min
#56 746 12 10 1.2 0 197 400 780 0 66 min
#57 666 12 22 0.55 0 149 20 600 10 43 min
#58 688 12 46 0.26 1 145 860 380 1,035 82 min
#59 501 12 31 0.39 2 127 60 1,320 80 82 min
#60 488 12 18 0.67 1 118 260 780 0 64 min
#61 730 12 25 0.48 0 94 20 740 0 49 min
#62 1588 11 6 1.83 1 1,872 460 1,100 235 84 min
#63 768 11 17 0.65 0 120 40 1,340 2,739 82 min
#64 912 11 9 1.22 0 108 0 480 40 30 min
#65 996 11 10 1.1 3 95 300 800 80 63 min
#66 922 10 20 0.5 3 251 40 660 598 47 min
#67 564 10 9 1.11 0 131 340 560 30 21 min
#68 885 10 18 0.56 0 109 40 640 582 48 min
#69 711 10 10 1.0 0 107 120 180 5 24 min
#70 831 10 12 0.83 0 106 120 760 75 56 min
#71 716 10 11 0.91 0 102 540 440 500 56 min
#72 632 10 7 1.43 0 96 20 560 210 32 min
#73 748 10 13 0.77 0 95 580 580 795 66 min
#74 450 9 22 0.41 0 195 740 320 300 82 min
#75 1098 9 6 1.5 0 149 80 180 0 31 min
#76 667 9 19 0.47 0 102 320 180 260 46 min
#77 650 9 11 0.82 0 92 40 340 50 27 min
#78 977 9 8 1.12 0 92 0 340 65 20 min
#79 923 9 5 1.8 0 90 120 200 0 21 min
#80 505 9 9 1.0 0 89 60 500 150 47 min
#81 707 9 11 0.82 0 87 140 400 55 37 min
#82 528 8 26 0.31 0 164 120 840 80 67 min
#83 685 8 36 0.22 1 149 40 920 80 82 min
#84 758 8 25 0.32 0 92 260 340 455 44 min
#85 852 8 50 0.16 0 92 40 1,140 1,044 84 min
#86 8 2 4.0 0 73 60 60 0 9 min
#87 658 7 4 1.75 4 2,371 840 740 200 82 min
#88 653 7 30 0.23 0 124 900 540 2,420 82 min
#89 556 7 14 0.5 0 71 0 300 240 20 min
#90 7 7 1.0 0 57 120 40 0 12 min
#91 554 6 15 0.4 0 255 160 300 268 32 min
#92 663 6 4 1.5 0 238 320 200 80 28 min
#93 747 6 24 0.25 0 109 400 600 660 59 min
#94 554 6 34 0.18 2 91 40 1,120 15 82 min
#95 884 6 4 1.5 1 81 200 160 350 21 min
#96 766 6 8 0.75 0 70 20 260 175 21 min
#97 689 6 7 0.86 0 58 120 220 225 25 min
#98 593 5 7 0.71 0 99 0 600 130 34 min
#99 604 5 12 0.42 0 97 240 660 20 52 min
#100 617 5 12 0.42 1 79 560 520 75 65 min
#101 445 5 14 0.36 0 70 0 380 0 28 min
#102 610 5 39 0.13 1 48 140 1,040 640 82 min
#103 709 5 10 0.5 0 38 180 60 0 19 min
#104 840 4 6 0.67 1 2,549 800 780 295 83 min
#105 618 4 10 0.4 0 155 200 240 15 31 min
#106 494 4 3 1.33 4 110 20 1,000 31 56 min
#107 4 1 4.0 0 90 0 40 10 4 min
#108 568 4 7 0.57 0 63 0 520 190 34 min
#109 1166 4 8 0.5 0 51 0 380 770 25 min
#110 947 4 10 0.4 0 46 160 40 0 17 min
#111 494 3 4 0.75 5 109 20 980 714 57 min
#112 798 3 12 0.25 0 95 180 400 1,315 38 min
#113 3 1 3.0 0 73 40 40 5 6 min
#114 536 3 28 0.11 4 72 80 980 100 82 min
#115 700 3 17 0.18 5 55 280 660 0 64 min
#116 3 3 1.0 0 39 20 200 75 15 min
#117 552 3 7 0.43 0 33 240 100 150 37 min
#118 3 1 3.0 0 31 0 140 0 10 min
#119 589 3 9 0.33 0 31 180 60 170 18 min
#120 547 3 2 1.5 0 26 280 160 55 26 min
#121 803 3 2 1.5 0 24 0 520 482 37 min
#122 3 2 1.5 0 23 40 120 150 9 min
#123 533 2 5 0.4 0 123 380 560 225 18 min
#124 502 2 33 0.06 0 47 360 1,560 1,840 82 min
#125 607 2 9 0.22 0 31 0 200 75 17 min
#126 2 3 0.67 0 30 80 40 0 8 min
#127 2 2 1.0 0 30 20 160 0 13 min
#128 2 1 2.0 0 29 0 140 100 9 min
#129 669 2 12 0.17 0 27 180 40 0 19 min
#130 579 2 10 0.2 0 26 280 120 10 25 min
#131 2 3 0.67 0 24 0 140 455 9 min
#132 2 3 0.67 0 22 0 160 0 12 min
#133 507 2 7 0.29 0 18 140 180 525 26 min
#134 614 2 5 0.4 0 10 180 400 0 36 min
#135 554 2 10 0.2 0 9 180 60 0 19 min
#136 518 1 12 0.08 0 60 380 260 2,545 78 min
#137 611 1 4 0.25 0 32 120 180 240 23 min
#138 691 1 3 0.33 0 28 0 240 0 16 min
#139 431 1 12 0.08 0 25 20 320 95 25 min
#140 569 1 8 0.12 0 23 220 40 190 18 min
#141 1 6 0.17 0 23 60 60 75 9 min
#142 1 4 0.25 0 16 0 200 75 12 min
#143 1 1 1.0 0 16 140 40 0 11 min
#144 1 4 0.25 0 14 100 60 166 12 min
#145 559 1 7 0.14 0 14 0 220 0 18 min
#146 830 1 4 0.25 0 14 200 140 245 20 min
#147 546 1 8 0.12 0 14 180 40 75 15 min
#148 1 4 0.25 0 14 160 0 0 14 min
#149 1 5 0.2 0 11 0 100 75 10 min
#150 1 0 1.0 0 9 100 20 0 8 min
#151 1 2 0.5 0 8 0 60 25 5 min
#152 1 2 0.5 0 7 0 100 5 7 min
#153 0 0 0.0 0 269 440 240 191 0 min
#154 835 0 7 0.0 0 191 20 880 4,503 71 min
#155 0 3 0.0 0 95 80 400 75 14 min
#156 410 0 8 0.0 2 53 160 100 0 23 min
#157 497 0 18 0.0 0 31 40 880 662 69 min
#158 0 1 0.0 0 14 120 0 0 6 min
#159 0 6 0.0 0 4 0 140 0 12 min
#160 0 0 0.0 0 4 20 0 0 4 min
#161 0 3 0.0 0 3 20 100 75 10 min
#162 466 0 3 0.0 0 3 40 240 5 28 min
#163 0 1 0.0 0 2 20 0 15 5 min
#164 0 4 0.0 0 2 80 80 90 13 min
#165 0 1 0.0 0 1 20 0 0 4 min
#166 488 0 8 0.0 0 1 220 40 0 19 min
#167 0 2 0.0 0 1 0 40 10 5 min
#168 0 0 0.0 0 0 0 0 0 0 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 1 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 2 min
#175 0 0 0.0 0 0 0 0 0 2 min
#176 0 1 0.0 0 0 0 0 0 4 min
#177 0 1 0.0 0 0 0 20 0 11 min
#178 0 0 0.0 0 0 0 0 0 15 min
#179 0 5 0.0 0 0 0 20 0 4 min
#180 0 0 0.0 0 0 0 0 0 0 min
#181 0 0 0.0 0 0 0 0 0 1 min
#182 0 0 0.0 0 0 0 0 0 2 min
#183 0 1 0.0 0 0 0 60 0 4 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 0 0.0 0 0 0 0 0 0 min
#188 0 0 0.0 0 0 0 0 0 1 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 0 0.0 0 0 0 0 0 8 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 0 0.0 0 0 0 0 0 2 min
#193 0 0 0.0 0 0 0 0 0 3 min