stalingrad_warfare

Stalingrad Warfare Day

25.11.2025 11:28 | BigD.com.au AU#1

Result

3:2

Axis wins

Players

167

Total Kills

2,180

Allied Kills

1,006

Axis Kills

1,174

Match Duration

92 min

Kills/Min

23.8

High Match ELO

Allies 1126.0 (all: 792.0)
Ø Match 1227.0
Axis 1329.0 (all: 825.0)
Highly imbalanced

Player Statistics (167)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1280 72 36 2.0 1 1,119 280 880 60 80 min
#2 1639 71 21 3.38 0 907 260 800 401 67 min
#3 1726 69 29 2.38 0 898 220 940 765 76 min
#4 1278 63 31 2.03 0 1,583 1,040 340 446 88 min
#5 1650 46 11 4.18 0 353 40 640 85 40 min
#6 1200 45 17 2.65 7 626 340 1,220 5,587 87 min
#7 883 41 24 1.71 0 359 700 720 40 88 min
#8 705 36 20 1.8 0 825 360 1,060 85 90 min
#9 858 36 23 1.57 0 324 180 1,360 495 87 min
#10 832 35 4 8.75 3 2,110 660 1,020 30 87 min
#11 1013 35 39 0.9 0 913 660 720 496 87 min
#12 948 35 29 1.21 1 513 740 680 360 91 min
#13 1108 34 25 1.36 0 577 280 1,100 120 87 min
#14 1234 34 14 2.43 0 412 80 840 590 58 min
#15 785 33 25 1.32 0 410 1,120 280 280 86 min
#16 921 32 21 1.52 0 624 400 620 489 62 min
#17 1027 32 8 4.0 0 415 180 1,180 140 85 min
#18 1117 31 30 1.03 2 894 280 1,100 155 87 min
#19 865 31 19 1.63 1 579 20 1,360 2,993 87 min
#20 989 31 31 1.0 0 423 580 780 140 89 min
#21 991 30 20 1.5 2 1,432 1,520 520 335 88 min
#22 941 30 36 0.83 1 1,022 680 440 159 78 min
#23 920 30 27 1.11 1 622 380 820 220 84 min
#24 1028 29 25 1.16 2 551 660 800 110 87 min
#25 1040 29 31 0.94 0 501 160 1,320 3,534 87 min
#26 866 28 18 1.56 1 628 240 1,280 255 88 min
#27 964 28 11 2.55 1 574 420 280 290 49 min
#28 1021 26 20 1.3 0 1,147 1,320 220 796 87 min
#29 946 25 24 1.04 1 541 520 640 35 69 min
#30 770 25 33 0.76 2 251 60 1,300 173 90 min
#31 1539 24 10 2.4 0 416 300 100 20 27 min
#32 873 24 24 1.0 0 367 480 820 722 87 min
#33 749 23 32 0.72 0 648 360 1,040 1,572 87 min
#34 749 22 8 2.75 1 1,209 320 1,220 165 89 min
#35 896 22 17 1.29 0 749 1,420 140 763 88 min
#36 815 22 31 0.71 0 445 860 420 40 83 min
#37 887 22 18 1.22 0 338 1,100 440 145 88 min
#38 927 22 10 2.2 0 260 440 240 5 46 min
#39 937 22 21 1.05 0 214 620 280 30 65 min
#40 1373 21 4 5.25 0 282 180 200 25 25 min
#41 716 21 26 0.81 0 248 660 580 225 87 min
#42 651 20 9 2.22 1 621 500 920 55 86 min
#43 749 20 35 0.57 0 421 780 500 20 88 min
#44 737 19 23 0.83 0 248 360 1,100 656 88 min
#45 601 19 17 1.12 0 221 880 800 1,815 87 min
#46 806 19 31 0.61 0 157 520 1,200 3,736 87 min
#47 697 18 10 1.8 0 802 520 320 258 52 min
#48 803 18 17 1.06 1 195 260 840 85 69 min
#49 808 17 27 0.63 0 279 1,000 40 90 80 min
#50 691 17 26 0.65 0 154 280 760 778 71 min
#51 997 16 12 1.33 1 684 520 1,120 130 87 min
#52 826 16 23 0.7 0 596 1,080 400 95 87 min
#53 643 16 14 1.14 0 356 880 300 15 74 min
#54 877 16 27 0.59 0 320 360 920 260 87 min
#55 639 16 24 0.67 0 253 780 580 5 88 min
#56 669 16 15 1.07 1 221 220 700 215 63 min
#57 691 16 20 0.8 0 147 500 700 250 81 min
#58 737 15 5 3.0 0 2,093 680 1,040 35 88 min
#59 699 15 30 0.5 0 298 180 860 360 68 min
#60 821 15 28 0.54 0 260 660 700 698 87 min
#61 579 15 23 0.65 0 189 460 780 120 90 min
#62 675 15 35 0.43 0 171 480 820 380 87 min
#63 823 15 28 0.54 1 146 380 960 860 87 min
#64 739 14 22 0.64 0 440 860 160 415 64 min
#65 911 14 15 0.93 0 162 400 180 446 44 min
#66 1040 13 10 1.3 0 329 260 100 105 34 min
#67 630 13 12 1.08 0 173 780 180 10 60 min
#68 681 13 19 0.68 1 166 420 620 20 63 min
#69 810 13 29 0.45 0 135 200 920 245 77 min
#70 766 12 15 0.8 0 184 260 920 2,570 88 min
#71 796 12 9 1.33 0 153 400 180 0 43 min
#72 617 12 32 0.38 1 131 100 1,240 70 89 min
#73 562 12 27 0.44 0 120 620 440 370 71 min
#74 12 0 12.0 0 102 0 320 50 18 min
#75 12 9 1.33 0 99 120 80 130 19 min
#76 643 11 23 0.48 1 390 820 680 40 91 min
#77 671 11 25 0.44 0 267 280 1,080 260 87 min
#78 765 11 23 0.48 0 248 0 900 415 59 min
#79 493 11 14 0.79 0 156 420 1,060 92 87 min
#80 1214 11 10 1.1 0 100 200 180 5 26 min
#81 779 10 15 0.67 0 1,360 800 220 439 62 min
#82 784 10 7 1.43 1 586 360 580 95 78 min
#83 831 10 11 0.91 0 79 300 380 55 43 min
#84 488 9 10 0.9 0 217 120 400 10 38 min
#85 577 9 32 0.28 0 135 360 800 85 78 min
#86 604 9 16 0.56 0 126 580 400 10 77 min
#87 766 8 11 0.73 0 425 180 420 75 44 min
#88 645 8 36 0.22 2 304 280 1,120 1,025 87 min
#89 559 8 8 1.0 2 90 540 520 15 61 min
#90 8 2 4.0 0 74 0 100 0 8 min
#91 631 7 23 0.3 0 365 1,080 420 467 87 min
#92 1414 7 1 7.0 0 75 0 920 15 49 min
#93 589 7 12 0.58 0 75 140 1,320 20 87 min
#94 544 6 24 0.25 0 213 440 820 405 87 min
#95 526 6 29 0.21 0 143 420 960 165 87 min
#96 795 6 6 1.0 0 113 300 60 0 23 min
#97 694 6 11 0.55 0 100 140 500 464 45 min
#98 941 6 5 1.2 0 99 40 220 5 22 min
#99 564 6 12 0.5 0 93 560 480 20 87 min
#100 6 2 3.0 0 48 140 140 110 14 min
#101 690 5 11 0.45 0 1,071 340 1,200 150 88 min
#102 636 5 14 0.36 0 113 40 1,460 5,481 87 min
#103 910 5 13 0.38 0 76 220 160 5 35 min
#104 864 5 3 1.67 0 66 240 100 25 20 min
#105 470 5 17 0.29 1 62 100 760 150 54 min
#106 426 5 21 0.24 2 34 520 980 535 87 min
#107 5 0 5.0 3 30 0 0 0 5 min
#108 799 4 12 0.33 1 268 80 1,040 1,675 70 min
#109 511 4 7 0.57 0 137 340 160 10 34 min
#110 538 4 10 0.4 0 44 20 580 523 38 min
#111 683 3 6 0.5 0 1,151 1,220 420 175 87 min
#112 3 6 0.5 0 239 320 620 710 16 min
#113 576 3 9 0.33 0 86 0 500 60 32 min
#114 502 3 10 0.3 0 41 420 360 85 45 min
#115 3 5 0.6 0 38 40 100 25 11 min
#116 450 3 4 0.75 0 19 0 320 0 23 min
#117 3 1 3.0 0 19 20 140 0 10 min
#118 476 2 6 0.33 0 1,106 340 1,080 0 80 min
#119 478 2 9 0.22 0 24 200 500 20 42 min
#120 525 2 7 0.29 0 16 120 400 310 31 min
#121 733 1 5 0.2 0 312 320 160 0 28 min
#122 505 1 7 0.14 0 83 200 1,000 1,602 79 min
#123 453 1 5 0.2 0 41 80 960 80 24 min
#124 587 1 2 0.5 1 24 360 100 0 27 min
#125 1 4 0.25 0 13 160 0 75 11 min
#126 1 5 0.2 0 11 60 20 0 9 min
#127 1 0 1.0 0 10 20 0 0 3 min
#128 1 1 1.0 0 10 0 100 0 9 min
#129 1 0 1.0 0 9 80 20 0 6 min
#130 1 4 0.25 0 9 60 140 0 15 min
#131 1 3 0.33 0 8 0 60 0 6 min
#132 1022 0 5 0.0 2 2,074 680 1,040 270 87 min
#133 0 0 0.0 0 180 20 660 0 0 min
#134 453 0 4 0.0 0 137 160 520 15 47 min
#135 0 1 0.0 0 12 0 120 0 9 min
#136 0 4 0.0 0 6 0 180 0 12 min
#137 0 2 0.0 0 5 160 100 0 15 min
#138 0 1 0.0 0 1 140 0 0 10 min
#139 0 0 0.0 0 0 0 0 0 2 min
#140 0 0 0.0 0 0 0 100 0 6 min
#141 0 0 0.0 2 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 7 min
#144 0 1 0.0 0 0 20 40 150 5 min
#145 0 1 0.0 0 0 0 160 0 13 min
#146 0 0 0.0 0 0 0 80 230 6 min
#147 0 0 0.0 0 0 0 0 0 7 min
#148 0 0 0.0 0 0 0 0 0 1 min
#149 0 0 0.0 0 0 0 20 50 2 min
#150 0 0 0.0 0 0 0 0 0 2 min
#151 0 2 0.0 0 0 40 200 0 15 min
#152 0 0 0.0 0 0 0 0 0 1 min
#153 0 1 0.0 0 0 40 200 0 12 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 0 0.0 0 0 0 40 75 5 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 20 0 0 min
#160 0 0 0.0 0 0 0 0 0 0 min
#161 0 0 0.0 0 0 0 0 0 1 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 1 min
#165 0 2 0.0 0 0 0 60 0 6 min
#166 0 0 0.0 0 0 0 40 0 4 min
#167 0 0 0.0 0 0 0 0 0 0 min