kursk_warfare_night

Kursk Warfare Night

15.02.2026 22:51 | Vanguarda_2

Result

5:0

Axis wins

Players

198

Total Kills

1,927

Allied Kills

1,026

Axis Kills

901

Match Duration

88 min

Kills/Min

21.9

Normal Match ELO

Allies 1060.0 (all: 740.0)
Ø Match 1117.0
Axis 1174.0 (all: 753.0)
Imbalanced

Player Statistics (198)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1165 77 26 2.96 1 1,123 560 640 554 83 min
#2 979 63 21 3.0 2 933 540 700 195 81 min
#3 1683 60 10 6.0 0 1,284 600 100 10 74 min
#4 1288 48 30 1.6 4 1,036 700 600 155 83 min
#5 1155 42 25 1.68 6 1,284 540 280 205 77 min
#6 1137 42 30 1.4 2 1,264 560 1,400 1,909 85 min
#7 1062 42 20 2.1 1 579 300 1,000 607 80 min
#8 1091 40 22 1.82 0 845 640 540 790 83 min
#9 915 39 24 1.62 0 512 440 860 691 83 min
#10 851 38 8 4.75 2 2,588 880 640 65 85 min
#11 901 37 13 2.85 0 627 800 200 220 62 min
#12 818 36 3 12.0 1 2,580 780 860 90 83 min
#13 1259 35 32 1.09 1 694 460 740 510 83 min
#14 1339 32 17 1.88 6 333 200 1,080 4,201 80 min
#15 617 30 30 1.0 0 395 620 640 385 85 min
#16 813 29 48 0.6 0 617 600 580 165 84 min
#17 830 28 7 4.0 5 537 120 1,300 210 83 min
#18 866 28 7 4.0 0 422 280 1,040 2,400 86 min
#19 807 28 33 0.85 0 372 740 540 490 83 min
#20 648 27 24 1.12 0 359 460 920 20 83 min
#21 661 25 9 2.78 0 557 340 1,180 1,250 83 min
#22 783 25 27 0.93 0 317 820 400 10 84 min
#23 1041 24 16 1.5 0 288 140 600 2,607 58 min
#24 609 24 10 2.4 0 228 740 620 464 83 min
#25 1101 22 20 1.1 2 1,063 480 1,000 5,497 83 min
#26 652 22 19 1.16 0 299 560 740 300 86 min
#27 1226 22 15 1.47 0 285 40 420 80 32 min
#28 814 22 17 1.29 0 230 720 440 100 73 min
#29 895 21 22 0.95 0 480 220 600 517 54 min
#30 804 21 10 2.1 0 202 400 760 100 66 min
#31 659 21 24 0.88 0 193 600 720 210 83 min
#32 652 20 22 0.91 1 567 500 840 215 83 min
#33 891 20 13 1.54 0 531 1,140 320 307 85 min
#34 601 20 29 0.69 1 358 380 840 689 81 min
#35 777 20 22 0.91 1 284 400 940 493 87 min
#36 728 20 16 1.25 1 198 680 460 40 83 min
#37 820 19 7 2.71 0 185 340 740 75 61 min
#38 715 18 30 0.6 4 248 320 440 0 75 min
#39 560 18 16 1.12 0 243 320 320 205 45 min
#40 655 18 23 0.78 1 188 440 820 170 83 min
#41 705 16 15 1.07 0 526 720 320 90 65 min
#42 635 16 20 0.8 0 488 400 480 15 61 min
#43 16 1 16.0 1 436 160 60 0 83 min
#44 837 16 24 0.67 0 195 500 780 120 83 min
#45 771 15 6 2.5 0 115 160 480 5 40 min
#46 776 14 22 0.64 0 244 740 600 256 83 min
#47 899 14 16 0.88 0 185 0 720 320 47 min
#48 676 14 32 0.44 0 184 600 760 1,740 83 min
#49 685 14 27 0.52 1 125 420 820 112 83 min
#50 505 14 22 0.64 0 124 120 600 10 55 min
#51 606 13 25 0.52 0 663 720 500 495 82 min
#52 728 13 16 0.81 1 180 120 1,200 480 83 min
#53 520 13 20 0.65 0 106 540 640 10 77 min
#54 663 12 16 0.75 0 270 560 640 355 71 min
#55 700 12 19 0.63 0 121 280 160 5 56 min
#56 783 12 15 0.8 0 120 280 420 390 48 min
#57 12 17 0.71 2 120 60 1,180 405 0 min
#58 922 11 11 1.0 0 948 680 120 466 47 min
#59 690 11 15 0.73 0 507 900 500 60 83 min
#60 725 11 17 0.65 0 396 200 1,180 130 83 min
#61 715 11 12 0.92 0 308 500 400 1,545 57 min
#62 561 11 10 1.1 0 211 520 200 10 45 min
#63 649 11 3 3.67 1 203 140 360 1,519 25 min
#64 709 11 22 0.5 0 170 600 640 510 83 min
#65 553 11 24 0.46 0 170 540 500 0 74 min
#66 560 11 29 0.38 0 102 280 980 984 84 min
#67 1220 11 6 1.83 0 102 200 140 20 22 min
#68 483 11 17 0.65 1 91 200 660 155 58 min
#69 1076 10 8 1.25 0 563 1,120 380 3,115 83 min
#70 776 10 14 0.71 1 422 220 640 425 58 min
#71 557 10 17 0.59 0 173 400 720 225 68 min
#72 438 10 24 0.42 1 167 700 380 230 74 min
#73 734 10 25 0.4 1 159 620 700 1,343 85 min
#74 10 5 2.0 0 111 0 240 0 18 min
#75 855 9 9 1.0 0 149 100 480 40 35 min
#76 807 9 7 1.29 0 89 180 300 10 32 min
#77 787 8 16 0.5 0 523 60 1,220 961 85 min
#78 646 8 26 0.31 1 290 460 820 330 85 min
#79 671 8 6 1.33 0 167 0 380 330 30 min
#80 664 8 12 0.67 0 124 140 400 25 35 min
#81 671 8 19 0.42 0 97 260 540 85 83 min
#82 466 8 5 1.6 0 82 260 800 95 59 min
#83 640 7 6 1.17 0 257 760 580 189 77 min
#84 557 7 6 1.17 0 132 120 180 70 22 min
#85 7 6 1.17 0 93 40 120 0 11 min
#86 606 7 21 0.33 1 83 500 820 895 83 min
#87 1243 7 6 1.17 0 71 60 240 175 21 min
#88 851 6 2 3.0 0 302 60 680 130 36 min
#89 466 6 17 0.35 0 260 120 900 30 62 min
#90 500 6 16 0.38 0 183 80 1,320 30 83 min
#91 796 6 20 0.3 0 83 680 400 115 71 min
#92 558 6 6 1.0 0 67 100 360 0 30 min
#93 582 6 9 0.67 0 55 160 100 0 26 min
#94 518 6 8 0.75 0 55 0 520 215 33 min
#95 496 6 7 0.86 0 47 240 0 80 24 min
#96 588 5 8 0.62 0 239 760 180 150 55 min
#97 562 5 14 0.36 1 157 300 220 75 39 min
#98 681 5 16 0.31 0 150 640 560 380 161 min
#99 5 4 1.25 0 103 100 180 0 18 min
#100 485 5 13 0.38 0 103 220 1,280 1,135 83 min
#101 870 5 7 0.71 0 57 220 60 40 21 min
#102 447 5 9 0.56 0 50 120 280 0 29 min
#103 509 5 9 0.56 0 49 20 840 470 83 min
#104 624 5 5 1.0 0 43 160 200 275 26 min
#105 4 4 1.0 0 194 60 140 0 17 min
#106 4 4 1.0 0 90 40 80 0 12 min
#107 723 4 18 0.22 0 90 240 200 0 37 min
#108 4 3 1.33 0 85 0 200 50 15 min
#109 4 1 4.0 0 50 20 120 115 11 min
#110 902 4 3 1.33 0 47 100 300 5 23 min
#111 4 7 0.57 1 40 100 180 5 20 min
#112 4 4 1.0 0 39 100 200 55 17 min
#113 4 3 1.33 0 34 40 200 177 16 min
#114 4 1 4.0 0 30 80 0 0 10 min
#115 4 3 1.33 0 27 80 160 15 15 min
#116 3 2 1.5 0 169 60 240 0 17 min
#117 490 3 9 0.33 0 67 20 320 75 25 min
#118 724 3 11 0.27 0 43 40 560 50 45 min
#119 743 3 7 0.43 0 43 380 40 270 30 min
#120 571 3 10 0.3 0 32 80 560 140 40 min
#121 690 3 3 1.0 0 29 280 60 110 21 min
#122 3 8 0.38 0 28 100 180 0 17 min
#123 3 2 1.5 0 26 20 20 0 7 min
#124 515 3 5 0.6 0 23 140 200 30 25 min
#125 507 3 3 1.0 0 23 240 100 0 21 min
#126 2 7 0.29 0 24 160 20 5 19 min
#127 2 4 0.5 0 18 80 0 0 7 min
#128 1 0 1.0 0 53 20 60 0 6 min
#129 669 1 11 0.09 0 43 80 160 15 26 min
#130 1 7 0.14 0 25 180 60 0 16 min
#131 1 7 0.14 1 21 200 40 75 70 min
#132 1 2 0.5 0 21 120 60 0 13 min
#133 1 0 1.0 1 21 0 80 109 4 min
#134 796 1 9 0.11 0 19 120 260 0 27 min
#135 1 4 0.25 0 17 0 120 0 9 min
#136 660 1 6 0.17 0 15 80 120 0 22 min
#137 1 2 0.5 1 14 40 140 0 12 min
#138 1 2 0.5 0 10 0 80 0 7 min
#139 740 1 7 0.14 2 9 260 80 5 26 min
#140 1 3 0.33 0 9 0 200 75 20 min
#141 1 6 0.17 0 8 100 20 5 29 min
#142 1 2 0.5 0 7 0 100 5 7 min
#143 0 0 0.0 0 1,643 480 460 95 47 min
#144 699 0 7 0.0 5 66 120 460 85 38 min
#145 0 0 0.0 0 20 0 20 0 0 min
#146 497 0 14 0.0 0 17 40 400 220 29 min
#147 0 2 0.0 0 7 20 180 0 18 min
#148 0 0 0.0 0 6 20 60 0 5 min
#149 0 4 0.0 0 5 80 220 0 18 min
#150 0 4 0.0 0 4 160 0 225 12 min
#151 0 3 0.0 0 1 0 220 110 16 min
#152 0 0 0.0 0 1 0 40 0 5 min
#153 0 1 0.0 0 1 20 0 0 14 min
#154 0 1 0.0 0 1 20 0 0 3 min
#155 0 0 0.0 1 1 0 20 0 4 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 0 0.0 0 0 0 0 0 0 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 1 0.0 0 0 100 80 0 12 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 1 0.0 0 0 0 60 101 2 min
#163 0 0 0.0 0 0 0 0 0 2 min
#164 0 2 0.0 1 0 20 120 106 7 min
#165 0 0 0.0 0 0 0 40 0 5 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 0 0.0 0 0 0 0 0 0 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 4 0.0 0 0 0 20 0 7 min
#171 0 0 0.0 0 0 0 160 30 23 min
#172 0 1 0.0 0 0 0 120 0 9 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 0 0 3 min
#175 0 0 0.0 0 0 0 0 0 1 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 3 0.0 0 0 20 20 0 6 min
#179 0 0 0.0 0 0 0 0 0 1 min
#180 0 0 0.0 0 0 0 0 0 12 min
#181 0 0 0.0 0 0 0 0 0 3 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 1 min
#184 0 0 0.0 0 0 0 40 0 3 min
#185 0 0 0.0 0 0 0 0 0 1 min
#186 0 0 0.0 0 0 0 20 0 0 min
#187 0 0 0.0 0 0 0 0 0 1 min
#188 0 0 0.0 0 0 20 0 10 4 min
#189 0 0 0.0 0 0 0 0 10 2 min
#190 0 0 0.0 0 0 0 0 0 2 min
#191 0 1 0.0 0 0 20 0 0 2 min
#192 0 0 0.0 0 0 0 0 0 1 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 3 0.0 0 0 100 0 0 10 min
#195 0 0 0.0 0 0 0 0 0 4 min
#196 0 0 0.0 0 0 0 0 0 1 min
#197 0 0 0.0 0 0 20 120 0 0 min
#198 0 1 0.0 0 0 20 0 65 4 min