kharkov_warfare_night

Kharkov Warfare Night

24.05.2026 19:25 | Hot Dog 7 | The Outpost

Result

5:0

Axis wins

Players

166

Total Kills

1,880

Allied Kills

915

Axis Kills

965

Match Duration

84 min

Kills/Min

22.4

Normal Match ELO

Allies 1137.0 (all: 782.0)
Ø Match 1164.0
Axis 1190.0 (all: 803.0)

Player Statistics (166)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 2027 65 33 1.97 0 954 780 540 567 79 min
#2 1164 50 28 1.79 0 945 880 440 1,850 79 min
#3 1239 43 29 1.48 0 740 920 380 2,451 78 min
#4 913 42 21 2.0 0 615 440 940 4,587 79 min
#5 784 41 9 4.56 0 492 140 1,320 120 79 min
#6 711 41 5 8.2 0 324 220 1,280 4,077 79 min
#7 1004 40 3 13.33 1 1,702 340 1,200 125 79 min
#8 1187 38 12 3.17 0 482 480 440 0 56 min
#9 1005 38 22 1.73 2 415 260 1,060 226 79 min
#10 1213 37 24 1.54 0 355 700 160 275 61 min
#11 1360 36 24 1.5 0 641 800 580 495 79 min
#12 1001 36 21 1.71 0 460 380 800 55 79 min
#13 708 34 17 2.0 1 677 680 1,120 308 79 min
#14 928 34 14 2.43 0 432 660 720 200 81 min
#15 916 32 32 1.0 1 502 480 760 20 81 min
#16 769 32 30 1.07 0 333 700 500 607 79 min
#17 577 31 4 7.75 2 713 180 1,340 0 79 min
#18 619 31 21 1.48 0 442 760 600 80 82 min
#19 763 31 25 1.24 0 283 500 340 30 58 min
#20 698 30 31 0.97 1 495 660 480 157 77 min
#21 890 30 18 1.67 0 385 280 560 15 54 min
#22 1398 29 24 1.21 0 370 220 1,060 613 81 min
#23 602 28 5 5.6 0 973 240 1,200 115 79 min
#24 785 25 27 0.93 0 236 660 500 816 76 min
#25 589 24 4 6.0 2 1,682 320 1,200 295 81 min
#26 587 24 10 2.4 0 878 1,000 480 110 79 min
#27 835 24 13 1.85 1 424 240 500 472 61 min
#28 1092 24 34 0.71 0 376 260 900 1,122 79 min
#29 911 24 19 1.26 0 216 400 760 25 82 min
#30 1032 23 9 2.56 0 380 20 560 25 39 min
#31 883 22 19 1.16 0 669 160 420 5 45 min
#32 896 21 24 0.88 0 562 420 820 510 82 min
#33 1032 21 14 1.5 0 492 260 660 125 55 min
#34 812 21 17 1.24 0 374 700 520 25 75 min
#35 657 21 28 0.75 0 279 360 1,260 855 79 min
#36 687 21 26 0.81 0 179 240 980 1,103 81 min
#37 885 20 24 0.83 0 1,314 320 840 85 79 min
#38 812 19 17 1.12 0 372 220 1,180 170 79 min
#39 715 19 35 0.54 0 338 620 540 915 81 min
#40 1248 19 16 1.19 0 190 120 500 125 40 min
#41 688 19 13 1.46 1 187 800 440 110 82 min
#42 952 19 6 3.17 0 176 40 540 115 32 min
#43 993 18 23 0.78 0 418 220 1,100 40 81 min
#44 742 18 29 0.62 0 213 360 820 470 75 min
#45 600 17 25 0.68 0 303 660 640 10 79 min
#46 900 17 21 0.81 0 283 540 220 875 51 min
#47 798 16 10 1.6 0 895 1,280 240 347 79 min
#48 782 15 8 1.88 1 562 140 1,320 250 79 min
#49 666 15 27 0.56 0 364 400 880 250 81 min
#50 612 14 15 0.93 0 486 320 1,080 215 79 min
#51 609 14 20 0.7 1 129 600 720 2,075 79 min
#52 762 13 10 1.3 0 530 120 1,280 420 79 min
#53 698 13 11 1.18 0 432 40 840 370 51 min
#54 1082 13 8 1.62 0 170 0 360 250 28 min
#55 1002 13 20 0.65 0 162 560 740 2,286 79 min
#56 922 13 21 0.62 0 149 540 840 580 81 min
#57 769 13 26 0.5 1 148 60 1,080 820 82 min
#58 1050 12 10 1.2 0 792 200 1,260 870 79 min
#59 705 12 6 2.0 3 536 700 300 75 64 min
#60 829 12 11 1.09 0 500 300 1,140 365 79 min
#61 876 12 2 6.0 0 158 0 640 0 34 min
#62 744 11 16 0.69 0 475 160 1,240 425 79 min
#63 673 11 15 0.73 0 277 640 700 555 79 min
#64 534 11 21 0.52 0 233 580 740 380 79 min
#65 883 11 20 0.55 1 163 520 240 292 59 min
#66 723 11 28 0.39 0 127 300 900 30 80 min
#67 642 11 16 0.69 0 105 180 260 0 34 min
#68 566 11 19 0.58 2 99 560 540 70 78 min
#69 682 10 9 1.11 0 280 20 1,020 4,101 79 min
#70 804 10 9 1.11 0 205 460 500 2,080 79 min
#71 787 10 18 0.56 0 167 100 960 75 79 min
#72 617 10 17 0.59 0 155 340 900 80 80 min
#73 1013 10 21 0.48 1 102 520 800 818 81 min
#74 542 10 15 0.67 0 93 380 720 1,220 79 min
#75 1088 10 3 3.33 0 72 160 200 15 22 min
#76 831 9 5 1.8 1 1,241 160 1,200 520 78 min
#77 872 9 24 0.38 0 89 520 360 445 63 min
#78 576 8 22 0.36 0 255 300 1,040 199 82 min
#79 1001 8 7 1.14 0 221 140 40 10 23 min
#80 845 8 13 0.62 0 140 260 220 5 31 min
#81 524 8 27 0.3 0 89 300 640 80 63 min
#82 626 8 8 1.0 0 79 720 180 115 52 min
#83 510 8 17 0.47 0 79 560 740 125 79 min
#84 8 4 2.0 0 74 100 160 0 15 min
#85 1081 7 5 1.4 0 158 100 240 47 28 min
#86 680 7 16 0.44 1 98 320 980 215 79 min
#87 832 7 12 0.58 1 66 200 260 10 33 min
#88 851 7 12 0.58 0 60 260 200 35 30 min
#89 801 6 8 0.75 0 1,906 1,420 120 474 79 min
#90 611 6 26 0.23 2 138 340 960 700 80 min
#91 687 6 14 0.43 0 129 160 600 1,140 49 min
#92 1178 6 6 1.0 0 58 60 120 0 24 min
#93 482 5 5 1.0 0 282 100 1,200 10 68 min
#94 572 5 16 0.31 0 126 400 260 120 46 min
#95 1002 5 1 5.0 0 60 120 700 80 45 min
#96 5 10 0.5 0 40 80 120 230 19 min
#97 718 4 7 0.57 0 198 200 560 15 51 min
#98 418 4 23 0.17 0 99 260 520 0 61 min
#99 497 4 16 0.25 0 36 240 440 323 51 min
#100 722 3 14 0.21 2 271 420 380 155 54 min
#101 489 3 16 0.19 0 58 400 480 15 63 min
#102 733 3 11 0.27 0 48 80 320 40 30 min
#103 451 3 11 0.27 0 37 160 240 130 31 min
#104 608 2 8 0.25 0 143 120 580 610 43 min
#105 508 2 22 0.09 0 107 420 760 600 81 min
#106 526 2 20 0.1 0 84 280 980 125 79 min
#107 451 2 27 0.07 0 61 380 820 265 79 min
#108 2 7 0.29 0 31 20 140 160 14 min
#109 494 2 19 0.11 0 29 700 680 400 79 min
#110 2 3 0.67 0 25 0 340 0 18 min
#111 2 6 0.33 0 24 100 40 225 11 min
#112 686 2 5 0.4 0 21 140 220 140 21 min
#113 746 2 5 0.4 0 20 120 340 356 27 min
#114 2 2 1.0 0 19 20 140 0 11 min
#115 2 5 0.4 0 18 140 100 10 17 min
#116 1066 2 2 1.0 0 7 140 320 565 27 min
#117 888 1 2 0.5 0 367 500 0 65 27 min
#118 615 1 1 1.0 0 214 100 260 15 20 min
#119 616 1 5 0.2 0 25 100 300 0 36 min
#120 493 1 11 0.09 0 17 100 720 15 48 min
#121 672 1 7 0.14 0 15 60 320 5 39 min
#122 1 1 1.0 0 12 0 40 0 5 min
#123 1 2 0.5 0 11 60 200 5 19 min
#124 1 4 0.25 0 8 60 40 0 11 min
#125 0 1 0.0 0 1,015 140 1,640 200 5 min
#126 569 0 5 0.0 0 787 180 1,260 75 80 min
#127 665 0 4 0.0 0 663 160 1,360 215 79 min
#128 670 0 4 0.0 0 657 180 1,200 30 72 min
#129 0 0 0.0 0 454 0 1,680 4,429 79 min
#130 0 0 0.0 0 144 460 640 265 0 min
#131 0 1 0.0 0 69 0 120 0 8 min
#132 621 0 2 0.0 0 3 40 120 0 20 min
#133 0 2 0.0 0 1 120 100 0 14 min
#134 0 2 0.0 0 1 0 20 0 5 min
#135 0 1 0.0 0 1 0 80 5 3 min
#136 0 0 0.0 0 0 0 0 0 0 min
#137 0 0 0.0 0 0 0 0 0 1 min
#138 0 0 0.0 0 0 0 0 0 0 min
#139 0 1 0.0 0 0 0 0 0 1 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 0 0.0 0 0 0 0 0 0 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 0 0.0 0 0 0 0 0 1 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 0 0 0.0 0 0 0 140 320 16 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 0 0 1 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 0 0 1 min
#152 0 0 0.0 0 0 0 0 0 1 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 0 min
#156 0 0 0.0 0 0 0 0 0 2 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 0 0.0 0 0 0 0 0 1 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 0 0 10 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 1 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 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 4 min