smolensk_warfare_day

Smolensk Warfare Day

11.01.2026 22:03 | [GER]_100.Jäger_Division_1

Result

3:2

Axis wins

Players

171

Total Kills

2,371

Allied Kills

1,293

Axis Kills

1,078

Match Duration

90 min

Kills/Min

26.3

High Match ELO

Allies 1281.0 (all: 791.0)
Ø Match 1208.0
Axis 1136.0 (all: 789.0)
Imbalanced

Player Statistics (171)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1673 116 24 4.83 1 1,219 400 760 556 73 min
#2 1394 105 20 5.25 0 928 540 800 190 80 min
#3 1399 78 27 2.89 0 1,199 1,060 300 20 85 min
#4 1707 58 22 2.64 0 869 300 440 210 48 min
#5 811 53 9 5.89 1 1,245 440 860 50 76 min
#6 998 52 37 1.41 0 752 460 840 320 85 min
#7 1048 50 30 1.67 0 1,038 440 960 285 85 min
#8 945 47 30 1.57 0 487 360 1,020 145 85 min
#9 1219 43 27 1.59 0 612 300 1,040 2,955 84 min
#10 1107 43 29 1.48 0 495 340 840 210 85 min
#11 920 43 18 2.39 0 436 160 880 20 67 min
#12 981 43 30 1.43 0 377 600 760 75 85 min
#13 941 39 36 1.08 1 563 580 760 677 85 min
#14 800 39 29 1.34 4 333 660 700 895 86 min
#15 1243 38 28 1.36 0 655 480 940 4,626 85 min
#16 1351 37 32 1.16 0 503 520 660 1,153 77 min
#17 1460 36 20 1.8 0 1,376 1,240 280 557 85 min
#18 811 34 18 1.89 4 1,150 660 480 2,260 77 min
#19 800 33 22 1.5 0 307 500 480 115 76 min
#20 793 31 24 1.29 1 328 180 1,100 240 85 min
#21 985 30 29 1.03 0 477 400 1,020 981 85 min
#22 821 30 25 1.2 1 330 500 740 170 88 min
#23 891 29 32 0.91 0 674 620 720 95 85 min
#24 757 28 25 1.12 0 422 380 880 330 87 min
#25 923 27 13 2.08 0 1,126 400 920 230 78 min
#26 842 27 28 0.96 0 524 440 880 3,216 85 min
#27 776 27 37 0.73 0 273 740 520 375 85 min
#28 642 26 8 3.25 1 1,093 680 780 10 85 min
#29 633 26 31 0.84 0 257 800 380 45 78 min
#30 703 25 18 1.39 1 600 820 700 110 85 min
#31 854 25 22 1.14 0 491 1,380 620 105 66 min
#32 678 25 33 0.76 0 306 280 1,080 15 85 min
#33 778 24 20 1.2 0 466 1,160 100 20 76 min
#34 798 24 29 0.83 0 225 720 580 5 88 min
#35 613 23 23 1.0 0 688 640 780 110 85 min
#36 545 23 29 0.79 4 536 600 840 55 85 min
#37 810 23 14 1.64 0 264 420 600 385 60 min
#38 675 23 31 0.74 0 256 780 460 685 85 min
#39 932 23 22 1.05 0 218 480 300 75 53 min
#40 729 22 27 0.81 1 384 200 1,140 55 88 min
#41 800 22 34 0.65 2 313 860 280 50 78 min
#42 829 22 22 1.0 0 283 200 580 250 59 min
#43 1036 22 39 0.56 0 261 60 1,300 386 85 min
#44 897 22 12 1.83 0 197 720 420 10 73 min
#45 960 21 16 1.31 0 392 1,280 320 1,323 85 min
#46 703 20 21 0.95 0 429 300 720 0 66 min
#47 763 20 20 1.0 0 411 420 880 542 82 min
#48 1193 20 16 1.25 1 357 240 300 245 46 min
#49 1157 20 25 0.8 0 241 160 780 15 74 min
#50 785 19 28 0.68 0 699 580 540 160 85 min
#51 19 29 0.66 0 267 1,180 1,020 700 0 min
#52 774 19 37 0.51 0 164 360 680 615 75 min
#53 799 18 24 0.75 0 192 400 860 119 77 min
#54 880 18 11 1.64 1 158 400 640 697 65 min
#55 1111 17 11 1.55 0 489 1,300 260 60 85 min
#56 1027 17 14 1.21 0 299 520 180 15 45 min
#57 693 16 41 0.39 0 504 40 1,200 30 85 min
#58 895 16 12 1.33 0 289 560 680 80 76 min
#59 788 16 35 0.46 0 212 60 1,300 1,484 85 min
#60 707 16 31 0.52 0 173 600 440 85 69 min
#61 1080 15 7 2.14 0 381 280 140 75 29 min
#62 778 15 25 0.6 0 375 360 680 275 85 min
#63 555 15 31 0.48 0 331 100 2,040 50 85 min
#64 660 15 18 0.83 0 198 900 80 155 62 min
#65 727 14 22 0.64 0 494 460 940 717 82 min
#66 677 14 26 0.54 1 377 500 800 465 81 min
#67 459 14 26 0.54 0 186 440 540 10 83 min
#68 803 14 19 0.74 0 137 820 80 115 62 min
#69 677 14 12 1.17 1 129 200 380 439 41 min
#70 559 14 38 0.37 0 126 280 1,020 1,165 85 min
#71 900 13 29 0.45 0 186 480 720 830 85 min
#72 652 12 23 0.52 0 415 400 600 95 73 min
#73 670 12 2 6.0 0 389 1,120 620 3,649 85 min
#74 637 12 18 0.67 0 202 260 1,020 50 87 min
#75 756 12 21 0.57 0 103 280 900 1,573 85 min
#76 765 11 13 0.85 0 306 840 360 35 70 min
#77 529 11 26 0.42 0 109 800 340 15 76 min
#78 656 11 14 0.79 0 103 160 260 80 37 min
#79 523 11 10 1.1 0 101 200 260 5 28 min
#80 695 10 24 0.42 1 258 260 1,120 1,730 85 min
#81 708 10 8 1.25 5 105 200 1,020 250 78 min
#82 1428 9 9 1.0 0 244 320 160 100 32 min
#83 670 9 29 0.31 0 95 60 1,300 305 85 min
#84 631 9 20 0.45 0 87 340 460 25 50 min
#85 601 9 13 0.69 0 85 140 1,300 2,945 85 min
#86 457 9 21 0.43 0 77 240 660 390 64 min
#87 563 8 11 0.73 0 1,014 880 620 5 85 min
#88 827 8 50 0.16 0 281 580 520 35 87 min
#89 598 7 14 0.5 1 76 400 120 50 37 min
#90 7 4 1.75 0 68 40 100 5 9 min
#91 7 4 1.75 0 59 140 0 15 13 min
#92 610 6 25 0.24 0 60 420 700 390 70 min
#93 6 4 1.5 0 53 100 100 0 14 min
#94 748 5 6 0.83 1 1,101 700 900 255 85 min
#95 719 5 12 0.42 1 209 200 660 121 58 min
#96 580 5 14 0.36 0 67 360 560 225 63 min
#97 522 5 6 0.83 0 55 140 640 25 48 min
#98 5 3 1.67 0 44 0 160 0 12 min
#99 472 4 18 0.22 1 333 460 280 20 47 min
#100 475 4 6 0.67 0 101 420 300 25 43 min
#101 492 4 30 0.13 0 68 280 940 420 79 min
#102 639 4 7 0.57 0 40 40 340 0 28 min
#103 4 4 1.0 0 35 40 180 69 15 min
#104 4 2 2.0 0 27 120 200 375 19 min
#105 630 3 9 0.33 1 1,054 660 940 125 85 min
#106 3 1 3.0 0 82 60 20 0 6 min
#107 487 3 11 0.27 1 71 160 1,240 250 85 min
#108 663 3 3 1.0 0 40 20 360 180 27 min
#109 747 3 6 0.5 0 34 160 260 5 30 min
#110 573 3 18 0.17 0 30 820 100 85 63 min
#111 574 3 6 0.5 0 29 100 220 205 20 min
#112 637 2 2 1.0 0 118 40 340 15 22 min
#113 781 2 1 2.0 4 54 20 620 50 35 min
#114 528 2 24 0.08 0 26 180 1,180 455 85 min
#115 2 3 0.67 0 25 220 20 0 15 min
#116 543 2 11 0.18 0 21 160 220 0 31 min
#117 632 2 7 0.29 0 21 140 120 0 21 min
#118 630 2 4 0.5 0 20 80 420 920 30 min
#119 561 2 15 0.13 0 20 180 280 300 36 min
#120 2 3 0.67 0 19 60 100 0 12 min
#121 2 1 2.0 0 18 0 120 184 10 min
#122 437 1 5 0.2 0 20 180 180 0 29 min
#123 1 3 0.33 0 15 80 100 75 7 min
#124 1 1 1.0 0 14 60 40 75 7 min
#125 1 3 0.33 0 12 20 80 0 7 min
#126 1 1 1.0 0 11 60 20 0 16 min
#127 1 0 1.0 0 10 0 80 0 6 min
#128 1 3 0.33 0 10 40 80 25 11 min
#129 1 2 0.5 0 7 0 140 125 11 min
#130 590 1 6 0.17 1 7 100 120 75 21 min
#131 980 1 2 0.5 0 6 40 260 295 38 min
#132 0 0 0.0 0 664 540 460 175 0 min
#133 0 0 0.0 0 51 40 0 0 3 min
#134 0 1 0.0 0 1 0 20 0 4 min
#135 0 2 0.0 0 1 20 80 0 6 min
#136 466 0 3 0.0 0 1 160 220 10 25 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 2 min
#142 0 0 0.0 0 0 0 0 0 0 min
#143 0 0 0.0 0 0 0 0 0 1 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 2 min
#147 0 1 0.0 0 0 0 80 520 14 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 0 0 1 min
#153 0 0 0.0 0 0 0 0 0 2 min
#154 0 0 0.0 0 0 0 0 0 7 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 0 0.0 0 0 0 0 0 4 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 0 min
#160 0 0 0.0 0 0 0 0 0 0 min
#161 0 0 0.0 0 0 0 0 0 0 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 0 min
#165 0 1 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 5 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 0 0.0 0 0 0 0 0 1 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 2 0.0 0 0 80 40 0 10 min