stalingrad_offensive_ger

Stalingrad Offensive Day GER attack

30.08.2025 22:03 | [GER]_100.Jäger_Division_1

Result

4:1

Axis wins

Players

198

Total Kills

2,153

Allied Kills

1,191

Axis Kills

962

Match Duration

81 min

Kills/Min

26.7

Normal Match ELO

Allies 1201.0 (all: 827.0)
Ø Match 1153.0
Axis 1104.0 (all: 751.0)

Player Statistics (198)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 869 84 1 84.0 6 2,241 40 1,460 15 76 min
#2 1374 66 24 2.75 0 914 100 1,080 445 75 min
#3 1078 63 16 3.94 0 606 300 820 50 70 min
#4 1056 56 37 1.51 0 726 640 380 130 76 min
#5 927 54 23 2.35 0 534 120 1,200 70 76 min
#6 873 51 28 1.82 0 656 860 380 185 77 min
#7 1067 47 34 1.38 0 895 60 1,040 170 76 min
#8 907 44 22 2.0 0 633 160 1,040 205 75 min
#9 1587 44 13 3.38 0 415 300 260 20 37 min
#10 898 41 33 1.24 3 561 900 180 690 77 min
#11 844 40 17 2.35 1 508 380 820 60 76 min
#12 1267 38 18 2.11 0 544 200 1,080 85 76 min
#13 861 38 20 1.9 0 385 840 460 485 77 min
#14 1044 37 22 1.68 7 690 0 1,180 3,361 76 min
#15 823 37 27 1.37 1 673 0 1,260 110 77 min
#16 992 34 27 1.26 0 592 100 1,020 20 77 min
#17 914 33 30 1.1 0 380 0 1,060 70 74 min
#18 735 33 29 1.14 0 353 760 180 515 71 min
#19 1451 33 16 2.06 0 278 100 400 30 32 min
#20 860 33 16 2.06 0 276 0 660 0 76 min
#21 819 32 16 2.0 0 295 200 1,080 325 76 min
#22 908 31 21 1.48 1 582 580 540 195 73 min
#23 744 30 34 0.88 0 384 40 1,180 1,230 76 min
#24 1299 30 13 2.31 0 266 260 800 4,010 62 min
#25 1048 29 14 2.07 0 383 20 700 261 44 min
#26 1117 29 32 0.91 0 374 120 1,140 335 76 min
#27 1019 29 10 2.9 0 331 160 940 20 70 min
#28 802 29 22 1.32 1 271 760 520 3,804 76 min
#29 712 28 19 1.47 0 324 220 1,060 370 76 min
#30 961 26 34 0.76 0 763 180 1,080 640 76 min
#31 950 26 28 0.93 0 511 500 280 180 54 min
#32 767 25 32 0.78 0 510 540 500 345 77 min
#33 993 25 53 0.47 0 484 740 220 710 77 min
#34 797 25 22 1.14 0 255 500 400 105 60 min
#35 1731 24 14 1.71 0 353 300 140 245 38 min
#36 904 24 15 1.6 0 262 540 160 90 43 min
#37 1223 23 25 0.92 0 641 0 1,240 3,762 76 min
#38 740 23 6 3.83 2 518 320 1,140 5 76 min
#39 868 23 30 0.77 0 356 700 460 185 77 min
#40 610 22 19 1.16 0 204 540 600 225 77 min
#41 1243 21 6 3.5 1 393 80 380 402 35 min
#42 967 21 15 1.4 0 233 500 640 120 71 min
#43 968 21 16 1.31 0 208 560 660 2,080 73 min
#44 674 20 13 1.54 1 424 440 500 440 59 min
#45 794 20 7 2.86 0 249 0 420 0 39 min
#46 686 19 20 0.95 0 255 740 320 55 72 min
#47 904 18 16 1.12 0 286 440 700 85 72 min
#48 805 17 28 0.61 1 561 560 600 1,721 74 min
#49 866 17 23 0.74 0 384 480 120 80 48 min
#50 737 17 13 1.31 0 372 540 260 300 52 min
#51 883 17 29 0.59 0 201 660 380 1,135 71 min
#52 764 16 26 0.62 0 305 0 760 265 54 min
#53 16 7 2.29 0 202 140 120 0 19 min
#54 840 15 18 0.83 2 282 340 980 2,170 76 min
#55 955 15 7 2.14 1 174 220 680 1,275 55 min
#56 805 15 44 0.34 0 141 520 460 878 79 min
#57 490 14 10 1.4 0 300 120 960 35 60 min
#58 599 14 10 1.4 0 254 280 140 85 32 min
#59 625 14 34 0.41 0 143 700 200 790 66 min
#60 773 13 9 1.44 0 440 120 1,020 150 65 min
#61 771 13 19 0.68 2 170 900 240 1,140 73 min
#62 534 13 24 0.54 9 131 640 460 1,110 75 min
#63 598 12 13 0.92 0 490 460 460 120 57 min
#64 558 12 35 0.34 0 186 680 460 455 77 min
#65 675 12 18 0.67 0 168 880 300 230 76 min
#66 898 12 20 0.6 0 150 320 660 1,603 61 min
#67 709 12 34 0.35 0 147 820 320 1,015 76 min
#68 12 6 2.0 0 108 0 180 0 16 min
#69 843 11 13 0.85 0 160 0 480 55 32 min
#70 636 11 12 0.92 0 147 240 760 1,326 60 min
#71 795 11 11 1.0 0 97 180 220 15 31 min
#72 690 10 3 3.33 0 2,048 40 1,440 140 76 min
#73 684 10 31 0.32 2 407 180 1,020 569 77 min
#74 802 10 7 1.43 0 150 280 160 5 31 min
#75 516 9 29 0.31 15 136 740 580 1,140 77 min
#76 622 9 33 0.27 0 116 80 1,040 0 75 min
#77 605 8 20 0.4 0 222 220 780 50 64 min
#78 841 8 7 1.14 0 153 240 220 699 32 min
#79 691 8 12 0.67 0 141 460 200 2,005 72 min
#80 680 8 12 0.67 0 111 140 740 20 54 min
#81 614 7 27 0.26 0 120 40 1,000 245 77 min
#82 641 7 24 0.29 0 82 320 780 2,500 74 min
#83 7 11 0.64 0 75 220 20 185 18 min
#84 511 7 2 3.5 0 74 180 580 10 43 min
#85 632 7 2 3.5 0 58 0 400 95 25 min
#86 690 6 7 0.86 0 483 200 1,100 150 73 min
#87 436 6 10 0.6 0 88 60 460 0 34 min
#88 730 6 10 0.6 0 78 200 140 130 23 min
#89 963 6 5 1.2 0 78 40 320 25 26 min
#90 622 6 12 0.5 0 67 180 380 20 36 min
#91 928 6 9 0.67 0 67 40 360 180 33 min
#92 5 6 0.83 0 77 0 360 10 20 min
#93 601 5 6 0.83 0 66 0 240 30 20 min
#94 5 2 2.5 0 57 140 0 75 12 min
#95 5 4 1.25 1 51 60 160 5 13 min
#96 608 4 7 0.57 1 512 320 1,140 5 76 min
#97 521 4 10 0.4 0 113 340 860 80 71 min
#98 886 4 23 0.17 0 90 360 180 845 37 min
#99 4 3 1.33 0 46 0 280 10 19 min
#100 419 3 20 0.15 0 268 160 900 335 66 min
#101 3 6 0.5 0 230 40 120 5 18 min
#102 726 3 8 0.38 0 61 20 220 0 21 min
#103 661 3 21 0.14 2 40 280 660 460 60 min
#104 510 3 22 0.14 0 37 20 840 0 63 min
#105 520 3 27 0.11 0 33 780 360 170 77 min
#106 451 3 33 0.09 1 33 660 380 545 79 min
#107 3 6 0.5 0 28 180 20 153 13 min
#108 3 1 3.0 0 24 0 80 0 6 min
#109 3 1 3.0 0 19 0 20 0 5 min
#110 477 2 6 0.33 0 271 100 660 40 43 min
#111 768 2 4 0.5 2 28 140 140 90 20 min
#112 723 2 8 0.25 0 25 0 320 230 25 min
#113 2 0 2.0 0 23 60 0 10 5 min
#114 2 5 0.4 0 22 60 0 5 6 min
#115 2 1 2.0 0 20 0 20 5 1 min
#116 438 2 8 0.25 0 17 180 180 124 28 min
#117 2 4 0.5 0 16 120 20 80 13 min
#118 2 3 0.67 0 16 0 80 10 12 min
#119 522 1 6 0.17 0 19 100 440 0 32 min
#120 410 1 12 0.08 0 15 20 380 0 30 min
#121 1 3 0.33 0 13 40 160 0 13 min
#122 574 1 4 0.25 0 12 320 220 0 33 min
#123 1 2 0.5 0 10 140 0 225 7 min
#124 1 3 0.33 0 9 80 0 0 7 min
#125 525 1 3 0.33 0 8 120 620 375 47 min
#126 600 1 22 0.05 1 7 440 240 150 52 min
#127 0 1 0.0 0 2,092 40 1,460 275 76 min
#128 0 0 0.0 0 468 0 560 200 0 min
#129 516 0 5 0.0 0 462 300 1,120 250 78 min
#130 462 0 3 0.0 0 237 40 480 10 28 min
#131 0 0 0.0 0 127 300 220 0 0 min
#132 0 6 0.0 0 70 300 420 160 15 min
#133 0 2 0.0 0 54 60 220 60 10 min
#134 585 0 7 0.0 0 50 240 120 150 24 min
#135 443 0 13 0.0 0 32 160 140 160 31 min
#136 534 0 37 0.0 12 23 640 380 3,410 77 min
#137 0 1 0.0 0 7 60 0 0 5 min
#138 0 1 0.0 0 6 0 200 5 13 min
#139 0 0 0.0 0 4 0 20 0 2 min
#140 0 2 0.0 0 4 0 60 0 5 min
#141 0 0 0.0 0 4 20 0 0 1 min
#142 0 1 0.0 0 3 40 0 0 3 min
#143 529 0 4 0.0 0 3 40 540 90 35 min
#144 0 7 0.0 0 3 120 60 0 14 min
#145 0 2 0.0 0 2 120 0 75 10 min
#146 0 5 0.0 0 2 60 80 181 12 min
#147 0 5 0.0 0 1 0 80 0 9 min
#148 0 0 0.0 0 1 0 0 0 2 min
#149 0 0 0.0 0 0 0 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 3 min
#151 0 0 0.0 0 0 0 0 0 2 min
#152 0 0 0.0 1 0 20 0 75 0 min
#153 0 1 0.0 0 0 0 20 0 3 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 0 0.0 0 0 0 0 0 1 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 3 min
#159 0 1 0.0 0 0 0 20 10 4 min
#160 0 0 0.0 1 0 0 80 0 7 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 0 0 6 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 1 0.0 0 0 40 80 300 12 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 0 min
#170 0 0 0.0 0 0 0 0 0 1 min
#171 0 0 0.0 0 0 0 0 0 3 min
#172 0 0 0.0 0 0 0 0 0 0 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
#176 0 1 0.0 0 0 60 0 75 7 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 0 0.0 0 0 0 0 0 0 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 1 0 0 80 0 6 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 2 min
#184 0 0 0.0 0 0 0 40 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 1 0.0 0 0 0 420 638 23 min
#188 0 4 0.0 0 0 40 40 0 10 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 1 0.0 0 0 0 80 0 7 min
#191 0 0 0.0 0 0 20 20 75 5 min
#192 0 0 0.0 0 0 0 0 0 0 min
#193 0 0 0.0 0 0 0 80 0 6 min
#194 0 0 0.0 0 0 0 0 0 0 min
#195 0 0 0.0 0 0 20 40 0 5 min
#196 0 0 0.0 0 0 0 0 0 0 min
#197 0 0 0.0 0 0 0 0 0 0 min
#198 0 0 0.0 0 0 0 0 0 1 min