stalingrad_offensive_ger

Stalingrad Offensive Day GER attack

18.09.2025 04:10 | BigD.com.au AU#1

Result

5:0

Axis wins

Players

196

Total Kills

2,291

Allied Kills

1,186

Axis Kills

1,105

Match Duration

86 min

Kills/Min

26.7

High Match ELO

Allies 1275.0 (all: 805.0)
Ø Match 1216.0
Axis 1157.0 (all: 784.0)
Imbalanced

Player Statistics (196)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1608 77 33 2.33 0 1,363 460 860 825 81 min
#2 1854 73 18 4.06 3 583 0 1,300 100 74 min
#3 927 65 31 2.1 0 908 340 820 90 81 min
#4 867 59 16 3.69 1 1,457 900 560 255 82 min
#5 860 52 9 5.78 2 1,554 640 480 1,007 61 min
#6 1110 50 36 1.39 0 819 1,060 160 145 81 min
#7 879 49 22 2.23 0 929 680 720 180 81 min
#8 837 48 5 9.6 6 628 20 1,480 5,443 81 min
#9 1165 48 14 3.43 0 442 960 0 50 58 min
#10 831 47 39 1.21 0 545 860 160 375 81 min
#11 1119 45 25 1.8 2 815 20 1,220 265 81 min
#12 961 44 3 14.67 2 1,735 900 680 385 84 min
#13 696 41 3 13.67 2 1,834 900 680 195 81 min
#14 940 41 37 1.11 0 395 40 1,100 335 77 min
#15 1442 35 11 3.18 0 502 280 280 135 37 min
#16 1039 34 15 2.27 0 980 180 1,060 145 73 min
#17 590 34 27 1.26 0 414 760 260 716 80 min
#18 1186 34 31 1.1 0 298 800 220 25 76 min
#19 1093 33 17 1.94 0 947 140 1,140 656 80 min
#20 814 33 28 1.18 0 537 0 1,080 145 81 min
#21 892 33 37 0.89 0 512 0 1,260 395 81 min
#22 775 33 16 2.06 1 403 40 1,020 180 67 min
#23 888 33 35 0.94 0 352 60 1,180 350 81 min
#24 877 32 8 4.0 1 1,248 500 740 301 81 min
#25 984 30 17 1.76 0 682 720 140 30 56 min
#26 1205 28 41 0.68 1 495 840 200 1,106 72 min
#27 1050 27 19 1.42 0 387 0 1,120 1,005 65 min
#28 825 27 31 0.87 0 343 120 1,000 65 75 min
#29 1081 27 13 2.08 0 316 600 760 2,000 81 min
#30 594 26 12 2.17 0 244 0 1,140 75 69 min
#31 963 25 23 1.09 0 364 40 520 115 41 min
#32 1304 24 16 1.5 0 650 60 920 280 62 min
#33 673 24 21 1.14 0 263 40 1,280 85 81 min
#34 948 23 22 1.05 0 473 700 120 400 55 min
#35 833 22 31 0.71 1 385 820 440 260 82 min
#36 810 22 30 0.73 0 273 720 380 140 72 min
#37 670 22 22 1.0 1 261 200 1,080 70 81 min
#38 897 22 11 2.0 0 190 40 420 85 31 min
#39 806 20 10 2.0 2 510 920 520 5,432 81 min
#40 1221 20 24 0.83 0 340 400 160 90 43 min
#41 662 20 22 0.91 1 301 480 320 245 62 min
#42 728 19 28 0.68 1 359 1,280 0 421 82 min
#43 641 19 37 0.51 0 281 20 1,220 185 82 min
#44 847 19 24 0.79 1 265 340 340 764 52 min
#45 627 18 36 0.5 0 235 860 200 150 81 min
#46 670 18 25 0.72 0 229 100 580 60 49 min
#47 1518 18 5 3.6 0 218 0 340 5 22 min
#48 833 18 27 0.67 0 212 340 740 0 80 min
#49 747 16 26 0.62 0 254 0 960 95 76 min
#50 544 16 27 0.59 0 183 120 1,200 5 81 min
#51 850 16 2 8.0 0 164 120 260 35 22 min
#52 679 16 16 1.0 1 155 520 220 10 45 min
#53 731 15 26 0.58 0 197 0 740 584 50 min
#54 704 15 27 0.56 2 173 80 980 160 81 min
#55 1014 15 15 1.0 0 137 500 140 0 47 min
#56 677 15 18 0.83 1 131 820 300 25 70 min
#57 699 13 8 1.62 0 261 0 580 412 33 min
#58 564 13 34 0.38 0 213 760 520 20 81 min
#59 13 2 6.5 0 103 20 60 35 8 min
#60 929 12 10 1.2 0 193 360 60 30 33 min
#61 852 12 10 1.2 0 154 40 380 0 34 min
#62 851 12 10 1.2 0 123 280 200 5 34 min
#63 661 12 27 0.44 0 107 1,200 120 836 81 min
#64 904 12 6 2.0 0 104 0 320 95 25 min
#65 11 10 1.1 3 597 160 0 0 15 min
#66 804 11 8 1.38 1 319 20 1,400 4,632 82 min
#67 945 11 5 2.2 0 237 20 360 90 23 min
#68 1058 11 3 3.67 0 119 260 0 0 16 min
#69 471 10 17 0.59 0 156 500 100 200 56 min
#70 646 10 21 0.48 1 145 480 580 2,468 68 min
#71 1063 10 4 2.5 0 144 220 20 165 22 min
#72 1246 10 15 0.67 0 119 360 20 40 27 min
#73 460 10 25 0.4 0 103 420 720 155 81 min
#74 631 9 17 0.53 0 203 460 120 105 48 min
#75 653 9 15 0.6 1 112 480 220 50 47 min
#76 664 9 25 0.36 0 108 0 740 1,140 55 min
#77 762 9 26 0.35 0 103 820 160 30 81 min
#78 524 9 15 0.6 0 85 740 160 0 56 min
#79 809 9 11 0.82 0 81 360 60 85 35 min
#80 926 9 10 0.9 0 81 360 140 55 38 min
#81 573 8 19 0.42 0 1,050 560 1,840 1,534 81 min
#82 821 8 7 1.14 0 283 0 160 105 16 min
#83 1018 8 10 0.8 0 282 440 440 125 29 min
#84 557 8 18 0.44 0 92 20 440 20 37 min
#85 601 8 27 0.3 1 87 0 840 325 65 min
#86 1202 8 10 0.8 0 86 0 240 5 18 min
#87 509 8 10 0.8 0 69 40 420 0 30 min
#88 770 7 8 0.88 1 545 140 1,300 5 82 min
#89 679 7 8 0.88 0 190 420 120 15 34 min
#90 738 7 5 1.4 0 187 0 1,380 1,728 81 min
#91 769 7 33 0.21 0 177 420 160 255 50 min
#92 636 7 12 0.58 0 128 240 320 25 40 min
#93 778 7 11 0.64 0 103 60 1,320 1,888 81 min
#94 942 7 10 0.7 0 88 0 1,240 3,460 80 min
#95 948 7 7 1.0 1 74 200 200 0 27 min
#96 766 7 4 1.75 0 66 380 0 10 21 min
#97 625 7 5 1.4 0 60 0 280 80 18 min
#98 921 7 4 1.75 0 58 360 20 15 23 min
#99 735 6 14 0.43 1 1,353 480 680 135 67 min
#100 456 6 7 0.86 0 126 100 460 30 34 min
#101 560 6 5 1.2 0 105 240 160 15 27 min
#102 525 6 10 0.6 0 84 420 120 0 33 min
#103 6 3 2.0 0 76 200 20 10 13 min
#104 612 6 11 0.55 0 72 660 40 75 41 min
#105 718 6 28 0.21 0 61 100 560 165 59 min
#106 622 6 8 0.75 0 52 0 220 75 15 min
#107 488 5 4 1.25 1 488 120 580 45 40 min
#108 669 5 14 0.36 0 102 0 440 285 29 min
#109 1021 5 16 0.31 0 55 20 1,240 3,175 80 min
#110 965 5 5 1.0 0 50 0 220 765 17 min
#111 587 4 7 0.57 0 472 140 1,140 85 70 min
#112 638 4 22 0.18 0 157 0 700 735 45 min
#113 776 4 21 0.19 0 84 520 580 2,365 72 min
#114 752 4 11 0.36 2 65 280 20 5 22 min
#115 677 4 14 0.29 0 61 240 140 75 29 min
#116 457 4 21 0.19 0 43 700 240 1,140 63 min
#117 4 1 4.0 0 43 0 200 0 12 min
#118 745 4 9 0.44 0 40 240 20 0 28 min
#119 631 4 12 0.33 0 37 380 180 0 36 min
#120 522 3 42 0.07 1 194 840 320 405 81 min
#121 3 1 3.0 0 165 0 20 0 4 min
#122 513 3 13 0.23 0 135 380 80 75 29 min
#123 731 3 17 0.18 0 61 340 200 75 48 min
#124 695 3 10 0.3 0 46 0 380 5 23 min
#125 408 3 10 0.3 2 44 20 300 130 25 min
#126 3 5 0.6 0 34 0 120 0 10 min
#127 3 5 0.6 0 32 0 120 0 11 min
#128 568 3 5 0.6 0 29 0 400 85 25 min
#129 3 4 0.75 0 25 100 40 0 11 min
#130 684 2 6 0.33 0 531 140 1,340 2,910 81 min
#131 536 2 12 0.17 0 99 60 480 80 37 min
#132 579 2 15 0.13 0 69 620 140 563 53 min
#133 2 4 0.5 0 66 140 20 0 12 min
#134 546 2 4 0.5 0 50 160 240 80 26 min
#135 712 2 7 0.29 0 41 140 20 5 17 min
#136 2 7 0.29 0 35 240 0 105 14 min
#137 687 2 7 0.29 0 27 200 20 5 19 min
#138 543 2 4 0.5 0 25 0 240 5 18 min
#139 787 2 2 1.0 0 23 0 300 311 18 min
#140 2 3 0.67 0 21 100 0 0 8 min
#141 2 4 0.5 0 20 0 60 30 7 min
#142 716 2 5 0.4 1 20 120 340 30 32 min
#143 2 3 0.67 0 15 0 100 10 8 min
#144 2 2 1.0 0 13 60 0 0 4 min
#145 1 4 0.25 0 15 20 60 0 13 min
#146 1 5 0.2 0 13 100 0 0 11 min
#147 1 3 0.33 0 12 160 0 0 15 min
#148 0 0 0.0 0 1,054 1,040 440 688 0 min
#149 0 1 0.0 0 87 80 60 40 11 min
#150 528 0 16 0.0 0 62 60 780 90 57 min
#151 406 0 15 0.0 0 36 560 720 939 74 min
#152 505 0 3 0.0 0 11 140 120 0 20 min
#153 0 3 0.0 0 10 80 0 0 6 min
#154 567 0 18 0.0 0 9 500 20 340 36 min
#155 0 5 0.0 0 4 200 0 25 14 min
#156 0 4 0.0 0 2 40 100 0 15 min
#157 0 2 0.0 0 2 0 80 80 4 min
#158 0 0 0.0 0 1 20 0 0 3 min
#159 0 0 0.0 0 1 0 20 0 2 min
#160 0 0 0.0 0 0 0 0 0 0 min
#161 0 0 0.0 0 0 0 0 0 2 min
#162 0 0 0.0 0 0 0 0 0 2 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 2 0.0 0 0 0 0 0 3 min
#165 0 0 0.0 0 0 0 0 0 0 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 10 min
#170 0 1 0.0 0 0 0 20 0 2 min
#171 0 2 0.0 0 0 80 0 75 6 min
#172 0 0 0.0 0 0 0 0 0 1 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 1 0.0 0 0 60 0 0 5 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 180 0 0 8 min
#178 0 1 0.0 0 0 0 0 0 2 min
#179 0 0 0.0 0 0 0 0 0 1 min
#180 0 0 0.0 0 0 0 0 0 0 min
#181 0 0 0.0 0 0 0 0 0 1 min
#182 0 1 0.0 0 0 0 0 0 2 min
#183 0 0 0.0 0 0 0 0 0 1 min
#184 0 0 0.0 0 0 0 0 0 3 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
#189 0 0 0.0 0 0 0 0 0 11 min
#190 0 0 0.0 0 0 0 0 0 0 min
#191 0 2 0.0 0 0 0 20 0 3 min
#192 0 0 0.0 0 0 40 0 30 1 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 0 0.0 0 0 0 0 0 3 min
#195 0 0 0.0 0 0 0 0 0 12 min
#196 0 0 0.0 0 0 20 0 0 2 min