stalingrad_warfare_night

Stalingrad Warfare Night

17.09.2025 11:57 | Chimera_5

Result

2:3

Allied wins

Players

188

Total Kills

2,235

Allied Kills

1,229

Axis Kills

1,006

Match Duration

92 min

Kills/Min

24.4

High Match ELO

Allies 1243.0 (all: 798.0)
Ø Match 1256.0
Axis 1270.0 (all: 770.0)

Player Statistics (188)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1700 105 37 2.84 0 1,136 560 740 410 89 min
#2 2792 69 12 5.75 0 979 180 200 130 26 min
#3 1710 65 15 4.33 0 1,242 260 960 330 74 min
#4 1426 58 34 1.71 0 510 320 760 90 76 min
#5 1097 52 34 1.53 0 1,102 480 820 190 88 min
#6 1000 46 30 1.53 1 991 680 580 85 88 min
#7 1039 46 30 1.53 0 753 720 660 237 87 min
#8 909 45 19 2.37 1 534 760 620 10 87 min
#9 1151 44 10 4.4 0 588 320 520 105 53 min
#10 1059 43 17 2.53 0 550 440 640 150 87 min
#11 839 41 25 1.64 0 604 460 920 255 87 min
#12 919 40 40 1.0 0 419 300 940 1,505 89 min
#13 787 38 25 1.52 0 681 1,040 300 40 87 min
#14 1195 36 37 0.97 0 939 880 440 310 87 min
#15 951 36 10 3.6 1 916 300 1,320 5,737 87 min
#16 1138 35 30 1.17 0 943 60 800 195 61 min
#17 979 35 12 2.92 0 313 40 760 118 49 min
#18 898 34 37 0.92 0 632 520 600 275 76 min
#19 867 34 26 1.31 0 337 100 740 40 61 min
#20 1012 33 23 1.43 0 537 120 1,040 319 88 min
#21 904 30 29 1.03 0 926 740 660 530 87 min
#22 636 30 14 2.14 0 267 580 460 180 61 min
#23 902 29 31 0.94 0 542 680 580 35 87 min
#24 852 28 22 1.27 0 267 800 540 575 86 min
#25 910 26 32 0.81 0 462 240 1,060 4,143 87 min
#26 928 26 28 0.93 0 224 380 340 150 55 min
#27 748 25 13 1.92 2 552 480 1,300 1,207 87 min
#28 766 24 30 0.8 0 506 120 960 2,436 85 min
#29 721 24 8 3.0 2 275 0 840 50 46 min
#30 772 24 30 0.8 0 264 240 780 300 69 min
#31 782 24 20 1.2 1 202 620 820 5,090 87 min
#32 781 23 22 1.05 0 473 780 620 600 87 min
#33 1011 23 14 1.64 0 472 340 480 240 56 min
#34 1177 22 14 1.57 1 545 960 20 360 58 min
#35 833 22 7 3.14 1 320 0 1,700 737 87 min
#36 708 21 18 1.17 0 635 1,140 240 472 87 min
#37 574 21 30 0.7 0 356 100 1,220 1,271 87 min
#38 785 21 13 1.62 0 285 760 640 60 91 min
#39 863 18 9 2.0 0 632 740 400 291 66 min
#40 958 18 8 2.25 0 505 0 1,600 970 87 min
#41 1149 18 8 2.25 0 261 200 440 35 41 min
#42 648 18 15 1.2 3 232 460 300 305 56 min
#43 594 18 18 1.0 1 162 780 220 75 66 min
#44 693 17 17 1.0 0 636 440 1,000 140 87 min
#45 716 17 10 1.7 3 302 260 460 160 46 min
#46 643 17 29 0.59 0 205 600 640 900 86 min
#47 888 16 3 5.33 0 1,374 920 480 425 83 min
#48 618 16 26 0.62 0 499 560 720 50 87 min
#49 730 16 12 1.33 1 312 0 1,480 240 88 min
#50 601 16 18 0.89 0 143 520 720 20 87 min
#51 732 15 8 1.88 0 256 500 140 230 45 min
#52 843 15 22 0.68 0 207 380 320 5 49 min
#53 718 15 35 0.43 0 180 240 960 30 85 min
#54 568 15 16 0.94 1 131 680 700 484 87 min
#55 729 14 19 0.74 0 1,324 1,140 340 0 88 min
#56 820 14 12 1.17 0 326 0 1,520 2,530 87 min
#57 518 14 27 0.52 1 207 420 940 135 88 min
#58 892 14 11 1.27 0 192 80 580 135 41 min
#59 789 12 6 2.0 0 407 1,160 220 551 77 min
#60 731 12 15 0.8 0 391 540 300 559 58 min
#61 606 12 21 0.57 0 308 1,420 40 0 87 min
#62 534 12 5 2.4 1 158 240 960 10 66 min
#63 616 11 21 0.52 0 249 360 880 50 87 min
#64 1151 11 7 1.57 0 177 40 460 305 33 min
#65 533 11 22 0.5 1 171 300 680 80 69 min
#66 748 11 14 0.79 0 165 360 160 15 39 min
#67 654 11 19 0.58 0 145 140 1,060 140 80 min
#68 737 11 11 1.0 0 144 40 360 10 32 min
#69 575 11 8 1.38 0 133 0 760 68 35 min
#70 828 11 32 0.34 0 131 520 680 55 87 min
#71 585 11 10 1.1 0 131 420 200 90 53 min
#72 631 11 14 0.79 0 118 100 1,220 35 87 min
#73 747 10 30 0.33 0 285 40 1,300 2,030 91 min
#74 952 10 4 2.5 1 162 60 480 5 32 min
#75 711 10 11 0.91 0 154 20 620 75 41 min
#76 10 7 1.43 0 82 0 80 45 20 min
#77 901 9 5 1.8 0 424 20 780 100 51 min
#78 897 9 3 3.0 0 332 200 320 20 30 min
#79 666 9 28 0.32 0 147 540 720 35 80 min
#80 9 3 3.0 0 134 40 200 0 15 min
#81 787 9 37 0.24 0 94 720 500 20 86 min
#82 962 9 14 0.64 0 87 80 740 20 48 min
#83 1113 9 5 1.8 0 79 280 40 5 23 min
#84 937 9 9 1.0 0 76 280 180 235 39 min
#85 499 8 22 0.36 0 284 280 1,020 2,955 87 min
#86 561 8 28 0.29 0 118 440 240 789 55 min
#87 624 8 27 0.3 0 100 660 520 0 87 min
#88 729 7 6 1.17 0 248 360 200 117 38 min
#89 899 7 17 0.41 0 220 420 200 20 40 min
#90 668 7 14 0.5 0 122 200 360 35 40 min
#91 876 7 8 0.88 0 103 300 0 75 23 min
#92 815 7 25 0.28 1 79 380 180 110 55 min
#93 882 7 10 0.7 0 71 100 180 25 23 min
#94 790 7 9 0.78 0 66 200 200 90 29 min
#95 593 6 14 0.43 0 128 840 480 110 91 min
#96 743 6 3 2.0 0 95 120 260 5 27 min
#97 1226 6 4 1.5 0 84 60 480 20 32 min
#98 694 6 5 1.2 0 76 180 100 80 22 min
#99 6 8 0.75 0 75 140 80 0 18 min
#100 6 5 1.2 0 66 100 20 5 17 min
#101 418 6 5 1.2 0 61 20 220 10 24 min
#102 581 6 10 0.6 0 59 280 100 15 40 min
#103 523 6 17 0.35 0 59 40 1,320 1,582 87 min
#104 6 2 3.0 0 53 0 60 130 6 min
#105 663 6 9 0.67 0 45 240 360 573 37 min
#106 595 5 20 0.25 0 196 380 100 240 40 min
#107 504 5 24 0.21 0 112 300 380 100 79 min
#108 5 4 1.25 0 95 20 120 0 12 min
#109 466 5 22 0.23 0 73 680 520 20 86 min
#110 391 5 13 0.38 0 72 260 680 50 58 min
#111 580 5 24 0.21 0 68 260 400 0 50 min
#112 485 5 18 0.28 0 52 140 580 160 61 min
#113 579 5 13 0.38 0 51 200 300 5 45 min
#114 655 5 35 0.14 1 49 300 840 0 87 min
#115 5 4 1.25 0 48 0 180 0 12 min
#116 565 5 8 0.62 1 34 40 140 0 23 min
#117 747 4 8 0.5 3 118 260 420 85 50 min
#118 542 4 6 0.67 0 54 100 380 231 22 min
#119 438 4 26 0.15 0 53 560 900 165 87 min
#120 695 4 10 0.4 0 31 220 240 0 30 min
#121 461 3 9 0.33 0 56 100 320 5 27 min
#122 3 1 3.0 0 43 0 180 0 11 min
#123 613 3 15 0.2 0 39 140 720 0 56 min
#124 3 3 1.0 0 38 120 100 0 17 min
#125 569 3 10 0.3 0 36 40 300 90 42 min
#126 3 8 0.38 0 31 40 220 60 19 min
#127 3 1 3.0 0 29 40 60 10 9 min
#128 3 3 1.0 0 23 40 220 45 18 min
#129 841 2 13 0.15 0 78 160 180 185 24 min
#130 805 2 1 2.0 1 46 80 380 0 24 min
#131 831 2 6 0.33 0 39 60 300 5 25 min
#132 540 2 18 0.11 0 32 400 840 310 87 min
#133 743 2 4 0.5 1 26 220 120 150 21 min
#134 1229 2 2 1.0 0 23 80 180 225 20 min
#135 2 1 2.0 0 21 0 240 0 19 min
#136 2 4 0.5 0 21 0 80 5 12 min
#137 485 2 4 0.5 0 20 240 160 130 25 min
#138 2 3 0.67 0 19 80 100 0 15 min
#139 2 2 1.0 0 19 100 0 0 7 min
#140 749 2 8 0.25 0 16 60 180 155 22 min
#141 635 1 3 0.33 0 120 160 120 5 24 min
#142 520 1 11 0.09 0 60 80 200 0 23 min
#143 1 1 1.0 0 37 0 100 486 9 min
#144 1 3 0.33 0 26 0 180 5 14 min
#145 751 1 7 0.14 0 26 160 180 10 25 min
#146 748 1 12 0.08 0 12 60 460 0 35 min
#147 1 5 0.2 0 10 60 60 0 10 min
#148 1 2 0.5 0 4 20 0 0 6 min
#149 0 2 0.0 0 182 120 180 100 19 min
#150 525 0 3 0.0 0 129 0 420 35 26 min
#151 460 0 3 0.0 2 116 160 540 5 54 min
#152 625 0 2 0.0 0 51 80 400 60 26 min
#153 0 0 0.0 0 20 20 40 90 0 min
#154 0 2 0.0 0 18 120 40 130 19 min
#155 0 1 0.0 1 10 0 160 513 9 min
#156 0 1 0.0 0 5 0 40 5 4 min
#157 0 1 0.0 0 3 0 60 0 7 min
#158 0 2 0.0 0 2 0 60 95 9 min
#159 0 2 0.0 0 2 40 20 0 5 min
#160 0 1 0.0 0 1 0 60 5 5 min
#161 0 1 0.0 0 1 0 220 10 13 min
#162 0 2 0.0 0 1 20 40 0 12 min
#163 0 1 0.0 0 0 0 20 0 4 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 0 0 0 0 0 2 min
#166 0 0 0.0 0 0 0 0 0 1 min
#167 0 0 0.0 0 0 0 0 0 13 min
#168 0 0 0.0 0 0 0 0 0 1 min
#169 0 1 0.0 0 0 0 20 0 4 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 0 0 1 min
#172 0 1 0.0 0 0 40 0 0 5 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 1 0.0 0 0 0 0 0 3 min
#175 0 0 0.0 0 0 0 60 0 0 min
#176 0 0 0.0 2 0 0 20 30 0 min
#177 0 3 0.0 0 0 140 80 0 19 min
#178 0 0 0.0 0 0 0 0 0 1 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 0 0.0 0 0 0 0 0 0 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 0 0 0 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 0 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 0 0.0 0 0 0 0 0 0 min