smolensk_warfare_night

Smolensk Warfare Night

07.01.2026 22:04 | [GER] Sandkasten der 106. Panzerbrigade

Result

2:3

Allied wins

Players

197

Total Kills

2,224

Allied Kills

1,153

Axis Kills

1,071

Match Duration

90 min

Kills/Min

24.7

High Match ELO

Allies 1257.0 (all: 798.0)
Ø Match 1323.0
Axis 1388.0 (all: 834.0)
Imbalanced

Player Statistics (197)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1692 121 41 2.95 0 1,867 640 720 1,817 85 min
#2 1754 100 25 4.0 0 1,500 760 740 115 85 min
#3 1608 81 37 2.19 0 991 360 860 305 85 min
#4 1540 71 28 2.54 2 1,080 580 760 247 85 min
#5 1299 65 32 2.03 1 951 740 540 575 85 min
#6 1462 61 36 1.69 1 881 820 500 2,565 85 min
#7 1547 55 22 2.5 0 892 920 620 1,962 85 min
#8 1033 54 6 9.0 0 1,195 820 860 20 85 min
#9 1688 51 33 1.55 0 647 400 960 1,265 85 min
#10 1114 47 34 1.38 0 678 500 420 90 66 min
#11 1333 45 28 1.61 0 683 240 960 185 84 min
#12 1286 44 14 3.14 0 382 540 340 50 52 min
#13 1143 42 37 1.14 0 1,317 520 760 475 85 min
#14 1101 39 27 1.44 0 490 1,000 320 697 84 min
#15 1059 37 31 1.19 0 1,159 420 800 3,215 85 min
#16 1138 36 19 1.89 0 674 520 180 85 63 min
#17 582 34 22 1.55 0 284 500 900 235 84 min
#18 853 30 20 1.5 2 1,185 1,140 260 582 80 min
#19 1135 29 20 1.45 0 960 1,140 200 653 79 min
#20 722 29 27 1.07 1 490 140 580 25 50 min
#21 1145 28 22 1.27 0 1,060 480 1,020 1,203 85 min
#22 812 28 26 1.08 0 455 500 880 190 87 min
#23 1136 27 22 1.23 0 633 80 780 340 58 min
#24 749 25 28 0.89 0 239 400 720 95 85 min
#25 871 24 26 0.92 0 594 440 520 75 67 min
#26 662 24 5 4.8 1 443 220 820 15 59 min
#27 1092 24 15 1.6 0 259 380 280 35 44 min
#28 1173 23 12 1.92 0 406 300 740 885 61 min
#29 703 23 14 1.64 0 285 540 440 205 57 min
#30 1151 23 23 1.0 1 255 540 620 195 72 min
#31 994 22 14 1.57 0 442 780 800 2,655 85 min
#32 848 22 19 1.16 0 270 160 620 170 54 min
#33 691 22 21 1.05 2 198 960 420 20 88 min
#34 824 21 24 0.88 0 242 400 880 1,314 85 min
#35 21 6 3.5 0 182 160 0 15 11 min
#36 689 20 28 0.71 0 255 540 360 60 61 min
#37 697 20 29 0.69 0 209 520 340 280 61 min
#38 976 20 3 6.67 0 173 860 420 80 65 min
#39 653 19 6 3.17 0 775 680 300 40 55 min
#40 614 19 29 0.66 0 215 360 660 545 68 min
#41 681 19 44 0.43 0 147 300 640 45 68 min
#42 941 18 12 1.5 3 372 60 1,480 2,157 88 min
#43 769 18 16 1.12 0 155 140 660 45 50 min
#44 589 17 22 0.77 1 164 80 1,360 456 85 min
#45 774 16 3 5.33 1 588 260 220 10 30 min
#46 1001 16 26 0.62 1 450 460 620 75 66 min
#47 1121 16 14 1.14 1 430 240 700 175 59 min
#48 708 15 21 0.71 0 190 740 400 95 69 min
#49 508 15 32 0.47 0 178 500 820 955 85 min
#50 938 15 13 1.15 0 159 280 300 150 43 min
#51 960 15 20 0.75 0 146 140 480 770 45 min
#52 571 14 9 1.56 0 293 1,380 300 65 85 min
#53 722 14 20 0.7 1 270 360 800 1,401 83 min
#54 1023 14 16 0.88 0 202 280 360 15 45 min
#55 437 14 29 0.48 0 177 740 580 75 85 min
#56 801 14 26 0.54 0 145 400 600 65 68 min
#57 675 13 7 1.86 1 1,149 800 860 545 88 min
#58 480 13 6 2.17 3 226 0 1,020 0 55 min
#59 722 13 43 0.3 0 188 200 860 1,160 73 min
#60 857 13 16 0.81 0 179 340 320 215 45 min
#61 1072 13 12 1.08 0 166 40 320 0 30 min
#62 596 13 47 0.28 0 151 780 380 110 88 min
#63 679 12 37 0.32 0 739 760 480 2,525 88 min
#64 907 12 22 0.55 0 174 720 340 50 71 min
#65 587 12 18 0.67 0 105 40 780 440 53 min
#66 965 11 18 0.61 0 356 400 400 20 55 min
#67 899 11 12 0.92 0 148 140 820 195 56 min
#68 583 11 13 0.85 0 103 260 620 160 54 min
#69 1052 10 15 0.67 0 682 580 0 40 38 min
#70 524 10 41 0.24 0 316 340 840 280 85 min
#71 611 10 32 0.31 0 157 340 740 20 85 min
#72 944 10 18 0.56 0 151 160 420 205 41 min
#73 773 10 19 0.53 0 103 100 320 165 36 min
#74 620 10 34 0.29 0 95 220 800 115 76 min
#75 512 9 20 0.45 0 991 1,340 1,200 215 85 min
#76 1412 9 6 1.5 7 325 100 560 2,733 38 min
#77 582 9 34 0.26 0 92 320 660 55 69 min
#78 729 9 10 0.9 1 92 220 420 30 45 min
#79 518 9 21 0.43 0 86 200 360 125 46 min
#80 549 9 11 0.82 0 73 620 260 0 51 min
#81 704 8 11 0.73 0 163 360 320 1,121 56 min
#82 752 7 23 0.3 0 161 300 480 10 55 min
#83 775 7 18 0.39 0 141 240 400 15 43 min
#84 665 7 21 0.33 1 78 260 320 20 46 min
#85 709 7 12 0.58 0 73 240 220 0 34 min
#86 559 7 7 1.0 0 62 200 300 75 31 min
#87 605 7 8 0.88 0 59 100 360 0 29 min
#88 764 6 24 0.25 0 109 200 600 385 62 min
#89 535 6 13 0.46 0 107 40 880 430 58 min
#90 666 6 15 0.4 0 101 420 380 5 55 min
#91 869 6 5 1.2 0 68 140 580 1,237 41 min
#92 6 7 0.86 3 61 120 140 80 19 min
#93 444 6 19 0.32 0 53 360 840 0 71 min
#94 578 6 5 1.2 0 51 20 320 15 33 min
#95 622 6 22 0.27 0 50 280 460 370 52 min
#96 6 6 1.0 0 49 120 20 0 11 min
#97 5 8 0.62 0 197 60 180 30 20 min
#98 688 4 4 1.0 0 464 160 320 70 28 min
#99 4 9 0.44 0 88 20 240 5 19 min
#100 4 4 1.0 0 86 40 100 230 12 min
#101 594 4 17 0.24 1 62 200 560 255 51 min
#102 4 8 0.5 0 39 80 80 0 17 min
#103 3 2 1.5 0 262 200 80 110 18 min
#104 750 3 9 0.33 0 32 180 320 634 39 min
#105 919 3 8 0.38 0 30 100 360 325 28 min
#106 756 3 11 0.27 0 29 100 180 0 24 min
#107 610 3 15 0.2 0 28 200 320 30 42 min
#108 776 3 6 0.5 0 27 120 240 5 24 min
#109 3 1 3.0 0 27 20 240 0 17 min
#110 3 1 3.0 0 26 20 0 0 5 min
#111 3 2 1.5 0 22 40 220 136 14 min
#112 506 2 9 0.22 0 904 800 880 530 88 min
#113 2 7 0.29 0 69 80 120 5 17 min
#114 2 0 2.0 0 39 0 220 80 12 min
#115 471 2 9 0.22 3 26 80 160 0 22 min
#116 418 2 7 0.29 0 25 260 180 0 37 min
#117 2 3 0.67 0 23 160 120 10 19 min
#118 2 5 0.4 0 22 40 260 0 19 min
#119 555 2 13 0.15 0 22 180 280 90 32 min
#120 2 1 2.0 0 20 40 0 0 4 min
#121 2 7 0.29 0 17 60 160 0 17 min
#122 2 6 0.33 0 15 200 20 0 15 min
#123 460 1 6 0.17 0 403 220 720 90 53 min
#124 1 3 0.33 0 22 0 260 590 17 min
#125 1 0 1.0 0 11 0 40 0 4 min
#126 583 1 9 0.11 0 11 220 260 175 33 min
#127 1 2 0.5 0 11 80 40 0 9 min
#128 1 5 0.2 0 11 40 120 10 15 min
#129 1 1 1.0 0 10 0 80 0 7 min
#130 1 3 0.33 0 7 40 180 0 15 min
#131 1 2 0.5 0 7 0 20 0 4 min
#132 0 0 0.0 0 827 600 760 125 0 min
#133 502 0 5 0.0 1 210 40 1,040 105 61 min
#134 441 0 9 0.0 0 209 0 1,160 151 67 min
#135 0 1 0.0 0 51 20 20 0 5 min
#136 398 0 8 0.0 4 8 80 160 125 21 min
#137 0 2 0.0 0 2 40 0 0 6 min
#138 620 0 2 0.0 0 2 0 100 0 21 min
#139 0 1 0.0 0 2 20 120 0 7 min
#140 0 1 0.0 0 2 40 0 0 5 min
#141 0 4 0.0 0 1 0 40 0 6 min
#142 0 9 0.0 1 1 80 0 0 11 min
#143 610 0 11 0.0 0 1 160 280 0 27 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 0 0 0.0 0 0 20 0 0 5 min
#148 0 0 0.0 0 0 0 0 0 10 min
#149 0 0 0.0 0 0 0 0 0 2 min
#150 0 0 0.0 0 0 0 0 0 1 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 0 0.0 0 0 0 0 0 4 min
#156 0 0 0.0 0 0 0 60 0 0 min
#157 0 0 0.0 0 0 0 0 0 2 min
#158 0 0 0.0 0 0 0 0 0 1 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 0 0 0 0 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 7 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 0 0.0 0 0 0 0 0 1 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 0 0 1 min
#170 0 0 0.0 0 0 0 0 0 1 min
#171 0 0 0.0 0 0 0 0 0 0 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 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 1 min
#178 0 0 0.0 0 0 0 0 0 0 min
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#180 0 0 0.0 0 0 0 0 0 0 min
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#185 0 1 0.0 0 0 0 0 0 3 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 2 0.0 0 0 20 100 0 9 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 1 0.0 0 0 0 0 0 2 min
#193 0 1 0.0 0 0 20 0 0 3 min
#194 0 0 0.0 0 0 0 0 0 0 min
#195 0 0 0.0 0 0 0 0 0 0 min
#196 0 1 0.0 0 0 20 80 50 9 min
#197 0 0 0.0 0 0 0 0 0 0 min