stalingrad_warfare

Stalingrad Warfare Day

06.08.2025 22:38 | 13th_Special_Needs_Company_2

Result

3:2

Axis wins

Players

184

Total Kills

2,314

Allied Kills

1,146

Axis Kills

1,168

Match Duration

92 min

Kills/Min

25.2

Normal Match ELO

Allies 1125.0 (all: 775.0)
Ø Match 1085.0
Axis 1044.0 (all: 779.0)

Player Statistics (184)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1136 58 33 1.76 0 830 620 600 353 87 min
#2 1184 57 32 1.78 0 1,003 420 940 355 88 min
#3 1004 54 12 4.5 0 485 280 1,260 15 87 min
#4 1257 50 21 2.38 0 1,459 680 700 2,285 87 min
#5 1004 49 19 2.58 0 535 220 1,160 15 88 min
#6 1035 46 23 2.0 0 759 1,300 140 604 87 min
#7 975 45 37 1.22 0 669 640 600 665 88 min
#8 704 41 10 4.1 0 555 100 1,500 15 88 min
#9 999 39 21 1.86 0 652 440 480 220 65 min
#10 1124 39 27 1.44 0 641 480 960 1,887 87 min
#11 987 38 13 2.92 3 1,367 760 800 6,467 90 min
#12 993 38 4 9.5 0 431 760 0 80 46 min
#13 1074 37 25 1.48 0 744 460 900 20 88 min
#14 1016 37 32 1.16 0 571 620 500 235 87 min
#15 899 36 10 3.6 0 615 900 720 126 87 min
#16 960 35 36 0.97 0 695 840 420 908 88 min
#17 684 34 2 17.0 2 751 0 940 10 50 min
#18 985 34 30 1.13 0 447 580 740 155 91 min
#19 941 34 15 2.27 0 335 160 1,180 95 84 min
#20 798 32 41 0.78 0 958 820 320 115 89 min
#21 770 32 21 1.52 0 319 580 740 365 88 min
#22 711 31 32 0.97 0 618 640 500 230 87 min
#23 755 31 26 1.19 0 307 320 1,000 507 88 min
#24 896 30 21 1.43 2 526 160 1,240 110 89 min
#25 801 30 31 0.97 0 433 1,140 180 65 88 min
#26 691 29 34 0.85 0 326 260 1,100 115 91 min
#27 840 28 38 0.74 1 411 500 660 3,482 89 min
#28 936 27 19 1.42 0 923 700 580 110 82 min
#29 974 27 37 0.73 0 331 700 560 1,425 89 min
#30 928 27 18 1.5 0 223 440 800 1,044 87 min
#31 1030 26 22 1.18 0 279 260 1,140 1,272 88 min
#32 988 25 27 0.93 0 440 300 580 35 60 min
#33 780 25 7 3.57 0 383 1,420 120 100 90 min
#34 595 25 22 1.14 0 349 260 1,040 75 87 min
#35 1160 25 12 2.08 0 295 220 360 5 42 min
#36 708 25 32 0.78 0 258 520 760 1,065 88 min
#37 902 25 22 1.14 0 246 200 700 335 65 min
#38 871 24 32 0.75 0 694 720 540 340 91 min
#39 863 24 17 1.41 3 356 100 1,360 238 88 min
#40 626 24 31 0.77 0 244 400 860 205 87 min
#41 775 23 38 0.61 0 377 380 800 460 88 min
#42 925 23 16 1.44 4 245 80 500 190 42 min
#43 1119 22 8 2.75 0 1,020 0 1,620 3,621 87 min
#44 1088 22 21 1.05 0 516 380 1,020 100 87 min
#45 628 22 30 0.73 0 297 80 1,140 3,315 87 min
#46 871 21 32 0.66 0 505 160 1,180 1,690 91 min
#47 773 20 16 1.25 0 606 180 1,100 50 78 min
#48 530 20 19 1.05 1 359 360 540 60 58 min
#49 992 20 10 2.0 1 237 220 640 5 52 min
#50 711 20 13 1.54 1 198 200 400 5 47 min
#51 644 19 43 0.44 1 196 460 680 10 88 min
#52 826 18 28 0.64 1 251 560 760 260 89 min
#53 866 18 13 1.38 0 203 600 160 175 49 min
#54 714 18 34 0.53 0 198 600 580 255 88 min
#55 759 17 14 1.21 0 623 820 720 510 87 min
#56 747 17 26 0.65 0 350 100 1,260 2,645 88 min
#57 838 17 8 2.12 0 186 80 380 110 29 min
#58 796 17 10 1.7 1 144 720 220 15 62 min
#59 1315 16 12 1.33 0 1,137 1,420 60 303 87 min
#60 627 16 21 0.76 2 380 320 620 20 62 min
#61 16 6 2.67 0 255 80 200 10 19 min
#62 788 16 2 8.0 0 136 40 600 10 37 min
#63 641 15 30 0.5 0 883 760 320 932 87 min
#64 1065 15 7 2.14 0 524 80 440 254 37 min
#65 818 15 18 0.83 0 381 160 300 5 38 min
#66 1050 15 11 1.36 0 284 100 260 55 27 min
#67 552 15 17 0.88 0 149 480 840 20 87 min
#68 583 14 23 0.61 0 455 160 1,120 30 85 min
#69 767 14 31 0.45 0 276 440 800 535 80 min
#70 506 14 15 0.93 0 131 220 740 55 66 min
#71 796 13 31 0.42 0 351 540 400 140 63 min
#72 770 13 21 0.62 0 133 440 940 335 90 min
#73 13 6 2.17 0 116 0 140 179 16 min
#74 616 12 18 0.67 1 182 600 640 315 85 min
#75 732 12 40 0.3 0 134 640 420 80 88 min
#76 658 11 22 0.5 0 202 160 1,140 410 88 min
#77 594 11 25 0.44 0 148 220 1,080 782 87 min
#78 526 10 17 0.59 1 763 980 360 0 89 min
#79 450 10 11 0.91 0 150 460 580 35 61 min
#80 694 10 20 0.5 0 104 260 980 505 89 min
#81 753 10 20 0.5 0 98 620 660 1,309 86 min
#82 798 10 7 1.43 0 97 80 320 260 32 min
#83 581 9 28 0.32 1 160 660 500 20 78 min
#84 680 9 8 1.12 0 141 160 740 1,135 56 min
#85 777 9 17 0.53 0 89 160 480 25 41 min
#86 800 9 13 0.69 0 78 260 240 85 39 min
#87 750 9 7 1.29 0 74 100 180 0 23 min
#88 552 9 8 1.12 0 73 440 20 225 31 min
#89 493 8 17 0.47 0 242 220 860 10 87 min
#90 597 8 9 0.89 0 111 140 220 0 34 min
#91 783 7 21 0.33 0 97 480 160 15 44 min
#92 745 7 12 0.58 0 76 220 240 0 33 min
#93 578 7 12 0.58 0 70 180 480 180 42 min
#94 814 7 11 0.64 0 69 160 400 0 37 min
#95 627 7 8 0.88 0 64 200 420 5 38 min
#96 7 3 2.33 0 61 0 240 45 15 min
#97 778 6 13 0.46 0 164 180 1,360 3,478 87 min
#98 720 6 21 0.29 0 76 320 380 95 57 min
#99 706 6 9 0.67 0 61 200 320 5 34 min
#100 744 6 11 0.55 0 55 100 280 15 31 min
#101 494 6 23 0.26 0 55 80 1,200 571 84 min
#102 6 5 1.2 0 54 80 120 70 19 min
#103 799 6 5 1.2 0 53 120 160 10 26 min
#104 5 7 0.71 0 203 60 120 140 17 min
#105 580 5 12 0.42 0 191 80 180 0 23 min
#106 544 5 5 1.0 0 71 520 20 210 32 min
#107 724 5 15 0.33 1 68 300 220 70 40 min
#108 662 5 8 0.62 0 67 760 240 270 64 min
#109 5 1 5.0 0 61 0 40 10 5 min
#110 703 5 12 0.42 0 61 80 900 65 61 min
#111 5 6 0.83 0 55 160 100 60 17 min
#112 505 5 12 0.42 0 52 220 200 10 31 min
#113 649 5 14 0.36 0 48 260 120 200 32 min
#114 631 5 6 0.83 0 47 320 60 85 51 min
#115 955 5 8 0.62 0 42 240 120 20 27 min
#116 702 4 11 0.36 0 100 460 20 0 32 min
#117 609 4 10 0.4 0 47 280 260 0 42 min
#118 518 4 9 0.44 0 43 260 260 0 34 min
#119 4 5 0.8 0 39 120 60 225 14 min
#120 3 10 0.3 0 187 40 140 10 17 min
#121 531 3 6 0.5 0 55 0 160 0 22 min
#122 562 3 7 0.43 0 38 140 200 20 24 min
#123 563 3 13 0.23 0 38 300 380 160 41 min
#124 3 3 1.0 0 29 60 120 0 16 min
#125 3 4 0.75 0 25 100 80 0 19 min
#126 3 1 3.0 0 21 40 100 15 9 min
#127 2 4 0.5 0 70 60 200 572 20 min
#128 432 2 11 0.18 0 59 280 460 70 48 min
#129 658 2 14 0.14 0 55 220 260 10 46 min
#130 2 7 0.29 0 39 20 220 5 18 min
#131 588 2 6 0.33 0 28 80 200 10 24 min
#132 396 2 16 0.12 0 21 220 240 165 38 min
#133 2 5 0.4 0 20 60 20 5 10 min
#134 2 1 2.0 0 18 20 100 0 8 min
#135 1 3 0.33 0 12 0 80 0 9 min
#136 1 3 0.33 0 11 0 80 5 13 min
#137 1 2 0.5 0 9 20 20 0 20 min
#138 1 2 0.5 0 8 20 40 0 5 min
#139 576 0 2 0.0 0 109 0 640 50 32 min
#140 591 0 13 0.0 0 9 140 120 75 24 min
#141 0 1 0.0 0 9 80 260 170 5 min
#142 445 0 3 0.0 0 7 0 520 0 29 min
#143 0 8 0.0 1 3 0 120 110 13 min
#144 513 0 4 0.0 0 3 140 60 40 21 min
#145 0 0 0.0 0 1 20 20 65 3 min
#146 0 1 0.0 0 1 0 0 0 5 min
#147 0 1 0.0 0 1 20 0 0 3 min
#148 0 1 0.0 0 1 0 60 10 2 min
#149 0 0 0.0 0 1 40 0 0 4 min
#150 0 0 0.0 0 1 0 0 0 1 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 2 0.0 0 0 0 80 0 10 min
#153 0 0 0.0 0 0 0 0 0 87 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 2 0.0 0 0 20 0 0 4 min
#156 0 0 0.0 0 0 0 0 0 3 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 2 0.0 0 0 60 40 0 8 min
#159 0 0 0.0 0 0 0 0 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 2 min
#162 0 0 0.0 0 0 0 0 0 0 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 2 min
#166 0 0 0.0 0 0 0 0 0 1 min
#167 0 0 0.0 0 0 0 0 0 3 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 0 0 2 min
#170 0 0 0.0 0 0 0 0 0 2 min
#171 0 0 0.0 0 0 0 0 0 0 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 20 0 0 4 min
#175 0 0 0.0 0 0 0 0 0 1 min
#176 0 0 0.0 0 0 0 0 0 1 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 1 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 0 0 3 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 4 min