kharkov_warfare_night

Kharkov Warfare Night

02.01.2026 03:44 | Vanguarda_2

Result

3:2

Axis wins

Players

193

Total Kills

1,608

Allied Kills

719

Axis Kills

889

Match Duration

92 min

Kills/Min

17.5

Normal Match ELO

Allies 1087.0 (all: 753.0)
Ø Match 1191.0
Axis 1294.0 (all: 823.0)
Highly imbalanced

Player Statistics (193)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1786 78 2 39.0 1 1,185 460 920 15 76 min
#2 1004 62 4 15.5 1 2,704 500 1,160 300 87 min
#3 1242 52 21 2.48 1 1,100 1,060 360 570 87 min
#4 1136 49 21 2.33 1 1,349 980 440 145 89 min
#5 1067 42 14 3.0 2 383 680 420 10 67 min
#6 847 36 40 0.9 2 1,264 420 840 200 87 min
#7 932 36 12 3.0 0 825 1,120 420 395 87 min
#8 863 35 19 1.84 1 330 640 700 829 84 min
#9 649 33 14 2.36 1 333 700 300 0 67 min
#10 1151 32 13 2.46 0 299 180 600 80 49 min
#11 992 31 15 2.07 0 226 240 560 205 56 min
#12 732 30 32 0.94 0 688 480 760 45 84 min
#13 836 30 18 1.67 0 635 680 260 355 86 min
#14 714 30 13 2.31 5 560 300 1,280 7,089 87 min
#15 788 30 22 1.36 0 392 520 940 820 87 min
#16 926 30 8 3.75 0 326 560 640 0 69 min
#17 1388 28 31 0.9 0 904 200 1,100 2,140 87 min
#18 1211 27 25 1.08 0 791 240 500 20 52 min
#19 1040 27 16 1.69 0 309 200 580 20 47 min
#20 930 27 19 1.42 1 277 600 780 887 87 min
#21 849 26 25 1.04 0 407 220 1,040 400 88 min
#22 771 26 26 1.0 0 386 1,040 380 110 88 min
#23 1031 26 19 1.37 0 381 560 860 1,385 87 min
#24 921 24 19 1.26 2 676 1,260 280 1,260 87 min
#25 608 24 28 0.86 0 236 100 1,200 230 89 min
#26 733 23 23 1.0 1 551 560 760 2,360 89 min
#27 1311 23 13 1.77 0 505 420 20 378 30 min
#28 1135 21 14 1.5 0 530 160 280 5 32 min
#29 720 20 9 2.22 0 570 320 1,260 1,255 87 min
#30 612 20 7 2.86 1 437 200 1,320 30 87 min
#31 751 18 22 0.82 1 396 420 940 395 88 min
#32 890 18 15 1.2 0 147 40 380 218 31 min
#33 1628 17 9 1.89 2 543 340 180 155 34 min
#34 711 17 15 1.13 0 201 520 500 110 61 min
#35 1316 17 11 1.55 0 145 140 320 489 54 min
#36 577 16 7 2.29 0 203 300 220 10 35 min
#37 847 16 11 1.45 1 197 0 740 908 52 min
#38 712 15 12 1.25 0 396 240 440 30 42 min
#39 828 15 27 0.56 0 324 380 660 1,545 72 min
#40 630 15 24 0.62 0 226 520 580 40 76 min
#41 702 14 17 0.82 0 675 1,060 260 77 87 min
#42 658 14 10 1.4 0 131 300 140 15 32 min
#43 882 13 12 1.08 3 469 1,260 340 3,230 87 min
#44 585 13 30 0.43 1 220 340 1,040 436 88 min
#45 642 13 21 0.62 0 177 200 1,060 940 87 min
#46 752 13 8 1.62 0 112 360 240 5 36 min
#47 744 12 18 0.67 1 936 900 240 280 79 min
#48 887 12 20 0.6 0 357 720 820 507 87 min
#49 696 12 22 0.55 1 173 240 1,120 192 86 min
#50 847 12 22 0.55 0 127 120 800 110 60 min
#51 861 12 15 0.8 0 100 580 60 0 43 min
#52 760 11 25 0.44 0 147 640 540 46 86 min
#53 866 11 11 1.0 0 138 40 400 10 30 min
#54 746 11 9 1.22 0 96 40 300 20 27 min
#55 654 10 10 1.0 0 216 420 800 157 85 min
#56 739 10 10 1.0 0 196 500 280 30 53 min
#57 618 10 18 0.56 0 97 680 180 75 64 min
#58 621 9 12 0.75 1 383 260 60 0 27 min
#59 756 9 10 0.9 1 111 60 660 5 49 min
#60 504 8 5 1.6 0 225 500 140 35 47 min
#61 617 8 16 0.5 0 201 220 440 75 50 min
#62 684 8 12 0.67 24 118 360 520 40 59 min
#63 640 7 15 0.47 0 340 520 500 590 67 min
#64 507 7 8 0.88 0 196 240 1,260 60 89 min
#65 498 7 34 0.21 0 131 100 1,240 983 87 min
#66 599 7 26 0.27 0 102 640 620 60 91 min
#67 784 7 5 1.4 0 65 440 40 175 30 min
#68 7 8 0.88 0 62 40 100 75 14 min
#69 7 2 3.5 0 46 80 60 0 10 min
#70 599 6 3 2.0 0 2,524 540 1,060 275 87 min
#71 857 6 2 3.0 1 439 340 40 225 24 min
#72 710 6 12 0.5 0 375 760 240 90 88 min
#73 959 6 17 0.35 0 210 240 180 85 32 min
#74 547 6 15 0.4 17 130 340 560 230 61 min
#75 482 6 10 0.6 0 109 300 80 5 24 min
#76 572 6 21 0.29 0 72 420 980 35 87 min
#77 368 6 3 2.0 4 58 40 1,500 136 88 min
#78 580 5 20 0.25 0 632 1,000 220 2,615 86 min
#79 943 5 8 0.62 0 243 140 200 177 25 min
#80 441 5 13 0.38 0 64 180 320 10 34 min
#81 677 5 6 0.83 0 64 200 180 65 25 min
#82 815 5 15 0.33 0 60 240 300 125 43 min
#83 822 5 8 0.62 0 52 360 0 0 29 min
#84 680 5 12 0.42 0 42 160 280 20 31 min
#85 628 4 10 0.4 0 186 160 420 65 39 min
#86 4 1 4.0 0 148 100 140 735 14 min
#87 664 4 5 0.8 0 54 260 320 130 36 min
#88 538 4 20 0.2 0 47 220 1,040 115 88 min
#89 4 5 0.8 0 44 20 100 0 10 min
#90 721 3 9 0.33 0 214 500 640 90 67 min
#91 685 3 8 0.38 0 86 60 500 0 34 min
#92 482 3 5 0.6 0 78 140 560 55 42 min
#93 3 5 0.6 0 40 140 100 5 16 min
#94 3 8 0.38 0 34 180 0 0 15 min
#95 665 3 17 0.18 0 34 960 380 510 88 min
#96 750 3 13 0.23 0 29 720 80 325 53 min
#97 3 3 1.0 0 27 140 80 5 16 min
#98 3 5 0.6 5 27 100 140 0 20 min
#99 3 1 3.0 0 22 40 0 0 4 min
#100 3 1 3.0 0 21 180 60 0 16 min
#101 1715 2 6 0.33 0 2,030 480 820 350 72 min
#102 755 2 10 0.2 0 69 60 240 0 26 min
#103 704 2 6 0.33 0 41 40 540 0 88 min
#104 791 2 8 0.25 0 26 180 240 100 30 min
#105 2 6 0.33 0 21 160 40 0 16 min
#106 2 2 1.0 0 20 100 20 0 9 min
#107 717 2 6 0.33 0 19 120 260 80 26 min
#108 2 7 0.29 0 17 180 20 5 15 min
#109 2 4 0.5 0 16 0 100 5 9 min
#110 2 3 0.67 0 15 80 80 5 12 min
#111 2 4 0.5 1 15 180 40 75 19 min
#112 1 0 1.0 0 64 20 180 113 9 min
#113 705 1 17 0.06 1 34 60 740 0 89 min
#114 1 5 0.2 0 22 60 60 0 13 min
#115 743 1 4 0.25 0 17 180 160 0 21 min
#116 1 2 0.5 0 14 20 100 0 14 min
#117 1 0 1.0 0 12 40 0 5 4 min
#118 722 1 3 0.33 0 11 140 260 0 23 min
#119 1 1 1.0 0 10 0 40 0 4 min
#120 1 1 1.0 0 10 0 140 0 9 min
#121 576 1 13 0.08 0 8 280 1,320 1,755 87 min
#122 1 2 0.5 0 6 40 0 0 6 min
#123 648 1 3 0.33 0 6 40 240 0 25 min
#124 1 0 1.0 1 6 0 40 0 5 min
#125 1 2 0.5 1 5 20 180 0 12 min
#126 514 0 6 0.0 0 158 160 140 10 22 min
#127 0 1 0.0 0 26 0 100 0 5 min
#128 0 3 0.0 0 11 0 140 224 9 min
#129 0 0 0.0 0 10 0 140 500 0 min
#130 502 0 9 0.0 0 6 100 180 0 21 min
#131 767 0 15 0.0 0 5 280 560 490 60 min
#132 595 0 7 0.0 0 3 20 300 260 26 min
#133 0 1 0.0 0 2 0 0 0 2 min
#134 626 0 5 0.0 0 2 20 280 0 25 min
#135 0 4 0.0 0 2 100 80 0 12 min
#136 0 6 0.0 0 2 140 100 0 18 min
#137 0 1 0.0 0 1 80 0 0 6 min
#138 0 0 0.0 0 1 0 0 0 1 min
#139 589 0 2 0.0 0 1 60 100 0 32 min
#140 0 4 0.0 0 1 80 60 0 14 min
#141 0 7 0.0 0 1 60 80 75 14 min
#142 0 2 0.0 0 1 20 60 0 10 min
#143 0 1 0.0 0 1 0 0 0 5 min
#144 0 0 0.0 0 0 0 20 0 3 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 1 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 0 0 4 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 1 0.0 0 0 0 60 0 6 min
#153 0 1 0.0 0 0 0 40 0 5 min
#154 0 3 0.0 0 0 0 80 0 7 min
#155 0 0 0.0 0 0 0 0 0 1 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 1 0.0 0 0 80 80 0 8 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 20 0 0 min
#161 0 0 0.0 0 0 60 0 0 7 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 20 0 4 min
#164 0 0 0.0 0 0 0 0 0 2 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 2 0.0 0 0 60 40 0 41 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 0 0.0 0 0 0 0 0 2 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 0 min
#172 0 0 0.0 0 0 0 0 0 3 min
#173 0 0 0.0 0 0 0 0 0 4 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 0 0 1 min
#176 0 1 0.0 0 0 0 0 0 4 min
#177 0 0 0.0 0 0 0 0 0 3 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 0 0.0 0 0 0 0 0 1 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 1 0.0 0 0 0 0 0 3 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 0 0.0 0 0 0 0 0 1 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 0 0.0 0 0 0 0 0 8 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 0 0.0 0 0 0 0 0 1 min
#191 0 0 0.0 0 0 0 0 0 1 min
#192 0 0 0.0 0 0 0 0 0 2 min
#193 0 2 0.0 0 0 0 120 30 6 min