stalingrad_warfare

Stalingrad Warfare Day

09.11.2025 07:53 | Chimera | OCE

Result

3:2

Axis wins

Players

175

Total Kills

2,039

Allied Kills

991

Axis Kills

1,048

Match Duration

92 min

Kills/Min

22.2

Normal Match ELO

Allies 975.0 (all: 721.0)
Ø Match 1046.0
Axis 1117.0 (all: 763.0)
Imbalanced

Player Statistics (175)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 997 60 24 2.5 0 598 540 860 25 87 min
#2 1424 55 25 2.2 0 559 820 440 135 89 min
#3 853 46 20 2.3 0 427 440 1,000 125 88 min
#4 872 42 18 2.33 1 671 480 1,020 1,140 89 min
#5 791 41 45 0.91 0 1,522 780 580 175 87 min
#6 672 37 12 3.08 3 329 420 1,080 195 87 min
#7 929 36 18 2.0 0 528 560 860 924 87 min
#8 814 36 28 1.29 0 402 300 1,080 490 88 min
#9 763 35 26 1.35 0 1,061 880 520 3,340 87 min
#10 774 34 6 5.67 0 907 340 700 66 58 min
#11 908 34 17 2.0 0 376 680 840 55 87 min
#12 1033 33 33 1.0 1 841 460 380 75 61 min
#13 1278 33 5 6.6 0 788 360 400 0 43 min
#14 886 32 4 8.0 2 926 260 1,360 265 87 min
#15 1048 32 33 0.97 0 612 640 760 1,770 87 min
#16 968 32 12 2.67 0 425 160 1,040 35 75 min
#17 836 31 37 0.84 0 758 740 400 75 87 min
#18 720 31 12 2.58 0 456 520 700 0 72 min
#19 892 30 21 1.43 0 332 520 900 675 88 min
#20 1069 29 6 4.83 6 542 240 1,420 5,864 87 min
#21 1097 29 12 2.42 1 513 420 460 35 55 min
#22 904 28 28 1.0 0 966 640 600 2,700 89 min
#23 859 28 29 0.97 0 785 460 620 85 75 min
#24 960 28 23 1.22 0 475 720 560 916 87 min
#25 785 28 11 2.55 0 301 220 420 40 40 min
#26 823 28 20 1.4 0 283 220 1,240 300 87 min
#27 880 27 24 1.12 0 367 680 360 275 81 min
#28 742 26 21 1.24 0 270 140 920 255 89 min
#29 758 25 27 0.93 0 1,022 580 480 475 87 min
#30 660 25 11 2.27 0 821 680 880 185 87 min
#31 825 25 13 1.92 7 284 120 1,480 4,582 87 min
#32 908 24 21 1.14 0 480 300 200 85 38 min
#33 642 23 18 1.28 5 541 280 1,200 75 88 min
#34 1100 23 7 3.29 0 483 420 120 80 33 min
#35 776 23 26 0.88 0 433 400 980 1,252 87 min
#36 905 23 14 1.64 0 432 920 420 35 81 min
#37 556 23 28 0.82 0 404 320 900 30 82 min
#38 707 22 13 1.69 0 530 500 600 65 68 min
#39 931 22 30 0.73 0 294 580 800 660 87 min
#40 921 20 16 1.25 0 464 480 560 105 64 min
#41 815 19 30 0.63 0 303 560 880 15 88 min
#42 884 19 24 0.79 0 280 440 620 260 73 min
#43 759 18 23 0.78 0 716 420 960 365 87 min
#44 642 18 25 0.72 0 329 240 1,120 15 88 min
#45 975 18 8 2.25 0 287 420 60 30 32 min
#46 1063 18 8 2.25 0 275 260 40 0 33 min
#47 851 18 12 1.5 0 179 380 240 5 58 min
#48 743 17 18 0.94 0 353 180 400 117 39 min
#49 617 17 22 0.77 2 201 280 1,120 2,385 88 min
#50 815 17 24 0.71 0 186 540 620 5 71 min
#51 769 16 24 0.67 0 696 700 700 680 88 min
#52 585 16 29 0.55 0 567 600 580 65 80 min
#53 643 16 28 0.57 0 401 260 1,000 380 87 min
#54 635 16 30 0.53 0 301 800 560 105 88 min
#55 703 16 28 0.57 0 291 360 920 860 88 min
#56 746 16 2 8.0 2 250 60 840 80 52 min
#57 582 16 36 0.44 0 203 260 1,020 370 86 min
#58 562 16 29 0.55 0 138 280 1,060 133 86 min
#59 558 15 26 0.58 0 686 1,160 700 1,833 87 min
#60 668 15 11 1.36 1 223 600 180 5 50 min
#61 553 15 31 0.48 0 196 500 780 893 88 min
#62 661 15 18 0.83 0 133 320 560 30 63 min
#63 747 14 13 1.08 0 169 260 360 165 40 min
#64 631 14 12 1.17 0 139 720 280 15 60 min
#65 1289 14 16 0.88 0 128 160 320 449 32 min
#66 879 13 6 2.17 0 263 420 120 25 35 min
#67 524 13 27 0.48 0 235 640 840 325 88 min
#68 564 13 21 0.62 0 138 720 340 15 68 min
#69 642 13 18 0.72 0 135 280 580 405 54 min
#70 650 13 6 2.17 1 129 0 500 106 27 min
#71 698 13 11 1.18 0 112 180 340 0 33 min
#72 846 12 12 1.0 0 154 540 540 10 69 min
#73 747 12 10 1.2 0 109 20 600 480 51 min
#74 702 11 4 2.75 2 938 260 1,440 225 88 min
#75 543 11 25 0.44 0 189 200 1,060 150 83 min
#76 704 10 5 2.0 0 902 260 1,360 245 87 min
#77 841 10 10 1.0 0 184 560 320 0 57 min
#78 544 9 21 0.43 0 377 360 820 2,125 89 min
#79 566 9 14 0.64 0 146 320 1,160 75 88 min
#80 845 9 3 3.0 0 88 300 80 10 21 min
#81 646 8 2 4.0 0 331 80 260 20 28 min
#82 506 8 20 0.4 0 318 320 1,100 165 87 min
#83 732 8 4 2.0 0 99 260 100 85 21 min
#84 824 8 9 0.89 0 88 140 340 30 31 min
#85 969 7 5 1.4 0 945 300 840 145 67 min
#86 1266 7 2 3.5 0 511 300 140 580 24 min
#87 762 7 9 0.78 0 157 300 440 25 48 min
#88 608 7 28 0.25 0 127 160 1,160 1,707 89 min
#89 7 3 2.33 1 113 140 20 95 14 min
#90 667 7 8 0.88 0 73 280 300 10 36 min
#91 803 7 10 0.7 0 69 0 540 275 36 min
#92 600 7 11 0.64 0 62 220 360 160 35 min
#93 1027 6 7 0.86 0 297 520 780 1,550 75 min
#94 503 6 32 0.19 1 221 180 820 3,105 83 min
#95 719 6 12 0.5 1 117 180 460 5 42 min
#96 501 6 19 0.32 0 61 280 1,220 770 88 min
#97 647 6 11 0.55 0 51 180 80 25 20 min
#98 688 5 17 0.29 0 203 440 580 290 77 min
#99 596 5 13 0.38 0 181 0 1,120 449 63 min
#100 785 5 7 0.71 0 119 420 460 160 56 min
#101 614 4 13 0.31 0 694 940 60 235 61 min
#102 629 4 6 0.67 0 372 100 1,020 5 74 min
#103 617 4 4 1.0 1 357 100 1,060 75 71 min
#104 778 4 3 1.33 0 256 200 440 25 38 min
#105 585 4 12 0.33 0 62 580 300 120 55 min
#106 606 4 40 0.1 1 36 160 1,180 2,112 87 min
#107 4 1 4.0 0 34 20 0 0 7 min
#108 792 4 2 2.0 0 33 20 300 0 20 min
#109 672 3 10 0.3 0 485 480 520 25 68 min
#110 3 5 0.6 0 105 200 460 465 12 min
#111 3 2 1.5 1 91 80 180 15 18 min
#112 482 3 12 0.25 0 87 280 200 0 32 min
#113 383 3 10 0.3 0 39 60 360 100 28 min
#114 662 3 9 0.33 0 32 100 280 95 26 min
#115 3 2 1.5 0 29 0 100 70 14 min
#116 3 3 1.0 0 24 20 40 0 10 min
#117 659 3 5 0.6 0 24 140 200 322 22 min
#118 473 2 7 0.29 0 109 140 260 0 29 min
#119 429 2 9 0.22 0 72 240 300 15 39 min
#120 526 2 14 0.14 0 43 500 980 30 87 min
#121 2 1 2.0 0 30 140 140 0 14 min
#122 600 2 2 1.0 0 23 0 560 125 32 min
#123 2 0 2.0 0 22 100 80 40 12 min
#124 2 2 1.0 0 21 20 120 5 7 min
#125 487 2 7 0.29 0 20 200 160 5 30 min
#126 2 1 2.0 0 16 0 360 5 17 min
#127 2 3 0.67 0 14 80 20 0 18 min
#128 1 1 1.0 0 286 80 280 35 17 min
#129 495 1 16 0.06 0 83 280 1,020 2,842 87 min
#130 715 1 8 0.12 0 62 40 220 170 22 min
#131 1 5 0.2 0 16 60 100 0 15 min
#132 613 1 9 0.11 0 15 100 240 180 27 min
#133 1 0 1.0 0 10 0 160 15 7 min
#134 1 2 0.5 0 8 20 60 75 7 min
#135 1 3 0.33 0 7 0 300 0 15 min
#136 594 0 10 0.0 0 396 120 1,100 225 70 min
#137 0 1 0.0 0 200 380 20 0 22 min
#138 0 1 0.0 0 21 180 400 25 6 min
#139 753 0 2 0.0 0 15 0 520 300 35 min
#140 0 5 0.0 0 9 180 0 310 14 min
#141 0 5 0.0 0 7 120 80 0 15 min
#142 506 0 10 0.0 0 5 60 280 10 24 min
#143 0 3 0.0 0 4 0 40 5 7 min
#144 0 2 0.0 0 2 20 120 0 11 min
#145 0 1 0.0 0 2 40 80 0 7 min
#146 0 2 0.0 0 1 40 160 20 13 min
#147 464 0 5 0.0 0 1 0 520 5 30 min
#148 0 3 0.0 0 1 20 0 0 6 min
#149 0 2 0.0 0 1 0 300 0 18 min
#150 0 1 0.0 1 1 0 140 191 17 min
#151 0 2 0.0 0 1 40 0 15 8 min
#152 0 3 0.0 0 1 100 40 5 12 min
#153 0 2 0.0 0 0 0 40 0 5 min
#154 0 0 0.0 0 0 0 40 0 0 min
#155 0 2 0.0 0 0 0 160 0 11 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 2 0.0 0 0 60 60 0 9 min
#158 0 0 0.0 0 0 0 0 0 1 min
#159 0 1 0.0 0 0 0 0 0 2 min
#160 0 0 0.0 0 0 0 0 0 1 min
#161 0 0 0.0 0 0 0 0 0 1 min
#162 0 1 0.0 0 0 0 0 0 11 min
#163 0 0 0.0 0 0 0 0 0 2 min
#164 0 0 0.0 0 0 0 0 0 15 min
#165 0 0 0.0 0 0 0 0 0 87 min
#166 0 0 0.0 0 0 0 80 0 0 min
#167 0 1 0.0 0 0 140 0 0 10 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 20 0 2 min
#171 0 0 0.0 0 0 0 0 0 1 min
#172 0 0 0.0 0 0 0 0 0 2 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 0 0 0 min