stalingrad_warfare

Stalingrad Warfare Day

03.08.2025 23:52 | [13SNC]_#3_Dírty's_Rejects_[US]_1

Result

2:3

Allied wins

Players

203

Total Kills

2,202

Allied Kills

1,009

Axis Kills

1,193

Match Duration

92 min

Kills/Min

24.0

Normal Match ELO

Allies 1041.0 (all: 763.0)
Ø Match 1090.0
Axis 1140.0 (all: 794.0)

Player Statistics (203)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 943 56 43 1.3 0 785 320 1,060 1,457 88 min
#2 1140 56 28 2.0 0 646 720 780 465 88 min
#3 850 50 18 2.78 0 507 720 840 55 91 min
#4 1117 49 33 1.48 0 574 380 660 521 79 min
#5 1115 43 14 3.07 5 1,893 760 1,800 5,231 87 min
#6 1023 43 25 1.72 0 455 300 780 240 67 min
#7 1076 40 14 2.86 1 381 180 1,380 619 88 min
#8 1403 39 22 1.77 0 466 520 280 285 53 min
#9 656 38 3 12.67 2 825 240 1,360 60 87 min
#10 1048 37 19 1.95 0 919 840 640 180 87 min
#11 777 37 21 1.76 0 315 500 600 155 70 min
#12 737 36 36 1.0 0 327 560 560 285 79 min
#13 1152 35 24 1.46 0 492 200 1,260 2,433 88 min
#14 1006 34 26 1.31 0 1,206 580 560 120 75 min
#15 934 34 39 0.87 0 531 640 600 30 88 min
#16 1025 33 24 1.38 0 825 840 400 180 77 min
#17 1040 33 30 1.1 0 483 540 960 1,437 87 min
#18 1061 33 6 5.5 0 318 100 620 5 42 min
#19 998 32 20 1.6 0 414 720 660 25 79 min
#20 919 32 23 1.39 0 378 1,060 460 685 87 min
#21 896 32 22 1.45 1 374 1,160 380 1,542 88 min
#22 719 32 14 2.29 0 322 340 880 235 81 min
#23 754 31 23 1.35 0 573 1,040 460 205 87 min
#24 760 30 31 0.97 0 680 480 840 1,255 88 min
#25 861 30 11 2.73 0 452 600 900 10 88 min
#26 762 29 19 1.53 0 1,003 340 1,140 340 88 min
#27 772 28 19 1.47 1 453 420 1,100 217 87 min
#28 718 28 25 1.12 0 308 820 600 150 91 min
#29 749 26 17 1.53 0 456 680 380 10 66 min
#30 950 26 29 0.9 0 325 880 620 0 91 min
#31 698 25 39 0.64 0 420 660 700 853 88 min
#32 829 25 20 1.25 0 404 240 320 80 41 min
#33 784 25 43 0.58 0 393 320 920 5 88 min
#34 473 25 23 1.09 1 305 420 880 140 87 min
#35 831 25 34 0.74 0 205 760 380 772 89 min
#36 639 24 13 1.85 0 374 400 1,060 2,830 87 min
#37 707 24 35 0.69 2 250 400 940 480 89 min
#38 686 23 3 7.67 3 671 520 940 5 85 min
#39 841 23 17 1.35 0 654 1,200 260 482 88 min
#40 660 23 41 0.56 0 560 440 820 125 88 min
#41 820 23 28 0.82 0 254 840 540 100 87 min
#42 680 23 28 0.82 2 240 520 340 565 61 min
#43 907 22 19 1.16 0 401 540 820 35 84 min
#44 632 22 24 0.92 0 218 180 1,200 45 88 min
#45 656 21 34 0.62 0 343 740 640 610 87 min
#46 885 21 24 0.88 0 318 360 440 15 53 min
#47 1111 20 7 2.86 0 247 60 260 185 23 min
#48 1215 20 12 1.67 0 227 40 240 25 21 min
#49 727 20 16 1.25 1 163 700 400 155 76 min
#50 787 19 12 1.58 1 310 520 900 492 79 min
#51 734 17 20 0.85 0 302 940 540 154 88 min
#52 616 17 23 0.74 0 136 460 620 40 69 min
#53 985 16 13 1.23 4 277 80 1,560 5,839 87 min
#54 762 16 21 0.76 0 160 720 200 40 60 min
#55 1031 15 11 1.36 0 485 80 420 160 32 min
#56 564 15 15 1.0 0 270 780 780 65 88 min
#57 1078 15 18 0.83 0 181 80 1,240 265 78 min
#58 1547 15 8 1.88 0 128 0 320 0 24 min
#59 564 14 3 4.67 1 374 120 700 0 46 min
#60 913 14 34 0.41 0 235 180 920 120 74 min
#61 629 14 14 1.0 2 153 200 1,180 20 81 min
#62 736 13 22 0.59 0 294 400 900 3,392 85 min
#63 965 13 19 0.68 0 197 580 240 0 50 min
#64 708 13 12 1.08 0 182 60 660 100 53 min
#65 975 13 10 1.3 0 146 0 560 55 37 min
#66 647 12 30 0.4 0 803 2,000 700 165 71 min
#67 760 12 4 3.0 1 445 420 900 90 74 min
#68 806 12 9 1.33 1 173 100 500 315 41 min
#69 763 11 24 0.46 0 189 260 1,100 435 82 min
#70 845 11 6 1.83 0 106 0 360 25 23 min
#71 910 11 6 1.83 0 91 20 580 474 34 min
#72 622 10 22 0.45 0 326 500 560 10 75 min
#73 1033 10 4 2.5 0 120 140 280 20 27 min
#74 909 10 14 0.71 0 106 340 580 570 64 min
#75 926 9 22 0.41 0 741 100 1,240 795 83 min
#76 600 9 23 0.39 1 227 480 260 85 53 min
#77 689 9 16 0.56 0 137 280 260 0 38 min
#78 709 9 12 0.75 0 93 20 620 95 40 min
#79 9 4 2.25 0 90 0 280 0 16 min
#80 877 8 13 0.62 0 324 340 240 1,500 43 min
#81 535 8 22 0.36 0 250 360 580 1,710 68 min
#82 8 6 1.33 0 125 40 220 135 19 min
#83 794 8 6 1.33 0 121 160 520 1,170 50 min
#84 8 10 0.8 0 120 40 180 0 20 min
#85 780 8 2 4.0 0 80 40 460 5 28 min
#86 811 8 21 0.38 0 79 500 200 150 51 min
#87 713 8 15 0.53 0 73 160 140 190 25 min
#88 612 7 27 0.26 1 124 260 940 1,080 87 min
#89 676 7 12 0.58 0 88 280 160 0 35 min
#90 609 7 9 0.78 0 82 120 760 180 55 min
#91 577 7 7 1.0 0 63 0 800 235 45 min
#92 7 12 0.58 0 0 0 0 0 16 min
#93 726 6 3 2.0 1 827 240 1,440 775 88 min
#94 602 6 5 1.2 0 119 60 420 140 38 min
#95 678 6 5 1.2 1 84 220 100 80 25 min
#96 837 6 9 0.67 0 75 60 360 0 39 min
#97 687 6 13 0.46 1 64 20 820 198 87 min
#98 658 6 14 0.43 0 61 420 140 0 39 min
#99 536 6 10 0.6 0 59 200 640 210 54 min
#100 720 6 5 1.2 0 58 100 180 155 30 min
#101 802 6 24 0.25 0 55 420 440 910 57 min
#102 537 6 17 0.35 0 54 480 220 0 46 min
#103 598 6 7 0.86 0 52 40 600 0 39 min
#104 6 2 3.0 0 51 0 80 0 6 min
#105 6 4 1.5 0 50 0 280 0 16 min
#106 6 2 3.0 0 41 80 0 0 8 min
#107 716 5 3 1.67 0 416 100 760 45 47 min
#108 517 5 11 0.45 0 169 620 740 625 30 min
#109 664 5 18 0.28 1 94 160 400 0 44 min
#110 686 5 3 1.67 0 66 20 480 10 27 min
#111 5 6 0.83 0 58 60 140 150 16 min
#112 571 5 19 0.26 0 52 180 1,080 805 77 min
#113 5 3 1.67 0 47 20 180 30 14 min
#114 717 4 23 0.17 2 193 320 480 625 63 min
#115 586 4 23 0.17 0 115 720 280 525 65 min
#116 537 4 13 0.31 0 104 460 640 120 87 min
#117 486 4 14 0.29 0 62 780 1,380 545 87 min
#118 4 9 0.44 0 55 0 280 15 20 min
#119 4 10 0.4 2 38 180 20 5 19 min
#120 802 4 9 0.44 0 37 240 100 10 24 min
#121 850 3 1 3.0 0 545 420 60 0 27 min
#122 3 4 0.75 0 37 220 0 0 17 min
#123 448 3 16 0.19 0 35 240 440 225 47 min
#124 3 3 1.0 0 33 0 200 0 14 min
#125 3 0 3.0 0 27 0 320 580 19 min
#126 631 2 5 0.4 0 58 160 360 1,296 33 min
#127 2 6 0.33 0 30 40 240 5 18 min
#128 526 2 15 0.13 0 29 60 300 0 26 min
#129 2 4 0.5 0 29 20 120 0 10 min
#130 2 2 1.0 0 27 60 60 0 26 min
#131 504 2 3 0.67 0 24 220 40 5 28 min
#132 2 2 1.0 0 23 0 160 0 11 min
#133 2 6 0.33 1 22 40 160 5 15 min
#134 530 2 2 1.0 0 21 0 340 5 22 min
#135 670 2 10 0.2 0 19 100 540 225 48 min
#136 2 4 0.5 0 18 0 160 0 16 min
#137 2 1 2.0 0 16 0 80 0 7 min
#138 2 3 0.67 0 15 20 260 0 19 min
#139 2 2 1.0 0 14 40 40 0 9 min
#140 522 1 4 0.25 0 752 200 1,360 195 85 min
#141 1 6 0.17 0 15 0 100 0 12 min
#142 1 1 1.0 0 15 180 20 0 13 min
#143 1 4 0.25 0 13 0 100 0 11 min
#144 1 3 0.33 0 13 40 140 85 11 min
#145 1 3 0.33 0 13 0 100 0 7 min
#146 1 2 0.5 0 12 40 0 0 5 min
#147 1 3 0.33 0 9 40 40 75 8 min
#148 1 2 0.5 0 9 0 80 0 5 min
#149 1 1 1.0 0 8 0 80 10 6 min
#150 1 1 1.0 0 7 0 40 0 4 min
#151 1 2 0.5 0 7 40 0 0 5 min
#152 1 2 0.5 0 7 20 20 0 4 min
#153 1 4 0.25 0 6 80 40 0 10 min
#154 0 0 0.0 0 776 120 1,240 415 0 min
#155 0 0 0.0 0 477 120 1,460 270 0 min
#156 816 0 2 0.0 0 319 100 620 95 45 min
#157 599 0 6 0.0 0 5 20 260 225 20 min
#158 0 5 0.0 0 5 40 140 35 13 min
#159 0 3 0.0 0 4 0 280 0 17 min
#160 0 0 0.0 0 2 0 0 0 2 min
#161 0 1 0.0 0 2 0 0 0 3 min
#162 0 3 0.0 0 0 0 20 0 5 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 0 0 0 20 0 2 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 1 0.0 0 0 0 80 0 4 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 0 min
#171 0 0 0.0 0 0 0 0 0 1 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 2 0.0 0 0 0 80 0 6 min
#174 0 0 0.0 0 0 0 0 0 1 min
#175 0 1 0.0 0 0 0 20 0 4 min
#176 0 0 0.0 0 0 0 20 0 0 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 0 0.0 0 0 0 0 0 2 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 0 0.0 0 0 0 0 0 2 min
#181 0 0 0.0 0 0 0 0 0 87 min
#182 0 4 0.0 0 0 20 80 0 9 min
#183 0 2 0.0 0 0 100 0 0 8 min
#184 0 0 0.0 0 0 0 0 0 1 min
#185 0 1 0.0 0 0 0 140 0 8 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 0 0.0 0 0 0 0 0 1 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 0 0.0 0 0 0 0 0 0 min
#191 0 0 0.0 0 0 0 0 0 5 min
#192 0 0 0.0 0 0 0 0 0 0 min
#193 0 0 0.0 0 0 0 0 0 2 min
#194 0 0 0.0 0 0 0 0 0 0 min
#195 0 1 0.0 0 0 0 100 0 8 min
#196 0 5 0.0 0 0 0 100 150 9 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
#199 0 0 0.0 0 0 0 0 0 0 min
#200 0 0 0.0 0 0 0 0 0 0 min
#201 0 0 0.0 0 0 0 0 0 0 min
#202 0 1 0.0 0 0 20 20 15 8 min
#203 0 2 0.0 0 0 0 40 0 5 min