stalingrad_warfare

Stalingrad Warfare Day

24.09.2025 19:52 | [FR|TdA]La_Tempête_d'Acier_1

Result

0:5

Allied wins

Players

192

Total Kills

1,298

Allied Kills

692

Axis Kills

600

Match Duration

55 min

Kills/Min

23.5

High Match ELO

Allies 1379.0 (all: 867.0)
Ø Match 1225.0
Axis 1071.0 (all: 775.0)
Highly imbalanced

Player Statistics (192)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 2067 45 8 5.62 0 378 320 400 250 46 min
#2 1510 44 19 2.32 0 716 460 260 165 51 min
#3 1301 34 24 1.42 0 493 400 320 200 49 min
#4 1063 33 18 1.83 0 495 120 660 2,070 51 min
#5 760 33 21 1.57 0 260 100 520 1,175 43 min
#6 1383 30 17 1.76 0 283 100 760 15 52 min
#7 1057 30 5 6.0 0 261 260 420 170 40 min
#8 950 27 21 1.29 0 655 360 380 110 53 min
#9 917 27 16 1.69 0 376 280 500 340 52 min
#10 985 27 21 1.29 0 369 240 380 120 46 min
#11 1226 25 21 1.19 0 277 260 380 50 50 min
#12 970 25 17 1.47 0 229 220 440 105 43 min
#13 618 24 9 2.67 0 364 800 20 105 51 min
#14 1495 24 21 1.14 0 239 380 340 712 51 min
#15 864 24 24 1.0 0 211 220 460 855 49 min
#16 1145 23 23 1.0 0 293 340 280 85 44 min
#17 861 21 14 1.5 0 351 440 240 60 45 min
#18 1335 20 9 2.22 0 366 340 540 958 51 min
#19 990 20 16 1.25 0 246 520 260 550 51 min
#20 734 20 20 1.0 0 193 20 760 20 51 min
#21 852 20 15 1.33 0 168 460 280 1,470 46 min
#22 1137 19 7 2.71 0 528 840 0 288 52 min
#23 990 19 21 0.9 0 293 260 520 580 52 min
#24 855 19 14 1.36 0 268 0 820 2,422 51 min
#25 1147 18 21 0.86 0 179 100 640 365 53 min
#26 1148 18 13 1.38 1 153 460 380 917 51 min
#27 884 17 11 1.55 0 574 820 80 796 51 min
#28 1217 17 3 5.67 1 432 0 680 5 38 min
#29 684 17 12 1.42 0 282 360 500 110 51 min
#30 759 17 11 1.55 0 198 200 180 45 32 min
#31 1588 16 16 1.0 0 172 120 320 5 32 min
#32 844 15 26 0.58 0 293 0 700 675 51 min
#33 681 15 20 0.75 0 198 60 720 130 52 min
#34 524 15 13 1.15 0 150 380 360 75 51 min
#35 661 14 20 0.7 0 187 140 560 35 49 min
#36 885 13 12 1.08 0 171 260 340 761 51 min
#37 1131 13 13 1.0 0 139 180 240 90 30 min
#38 566 12 8 1.5 0 367 120 840 0 51 min
#39 660 12 14 0.86 0 159 380 220 390 53 min
#40 842 12 6 2.0 0 133 160 280 170 30 min
#41 666 12 24 0.5 0 131 160 580 150 53 min
#42 960 11 5 2.2 0 333 320 400 1,025 45 min
#43 605 11 19 0.58 0 211 180 500 355 52 min
#44 702 11 7 1.57 0 159 560 320 110 51 min
#45 775 11 8 1.38 1 118 0 380 10 29 min
#46 638 11 20 0.55 0 105 300 480 130 51 min
#47 597 11 9 1.22 0 87 840 40 20 51 min
#48 1020 10 6 1.67 0 250 20 460 20 31 min
#49 949 10 10 1.0 0 156 240 180 15 28 min
#50 653 10 11 0.91 0 128 200 300 185 33 min
#51 10 2 5.0 0 121 80 180 0 20 min
#52 789 9 8 1.12 0 359 120 840 5 53 min
#53 773 9 10 0.9 0 230 120 320 319 82 min
#54 696 9 22 0.41 0 210 320 300 265 51 min
#55 634 9 25 0.36 0 169 280 460 30 51 min
#56 839 9 7 1.29 0 161 120 240 40 25 min
#57 827 9 13 0.69 0 82 180 220 60 29 min
#58 665 8 7 1.14 0 242 100 240 40 23 min
#59 605 8 14 0.57 0 159 120 700 859 52 min
#60 676 8 21 0.38 0 91 160 540 595 52 min
#61 831 8 11 0.73 0 87 120 420 230 34 min
#62 575 8 11 0.73 0 75 820 100 60 52 min
#63 945 7 9 0.78 0 418 400 440 400 51 min
#64 7 1 7.0 0 164 0 180 875 11 min
#65 570 7 13 0.54 0 105 360 320 740 44 min
#66 862 7 2 3.5 0 76 60 280 25 21 min
#67 958 7 4 1.75 0 68 160 60 90 27 min
#68 648 7 7 1.0 0 57 20 500 332 33 min
#69 564 7 10 0.7 4 56 100 700 1,347 51 min
#70 612 6 0 6.0 1 229 0 240 965 20 min
#71 666 6 10 0.6 0 120 140 180 10 22 min
#72 615 6 11 0.55 1 99 40 880 2,295 51 min
#73 805 6 6 1.0 0 73 140 380 265 35 min
#74 500 6 8 0.75 0 73 160 200 0 29 min
#75 850 6 5 1.2 0 64 840 40 462 51 min
#76 830 6 5 1.2 0 55 140 420 356 35 min
#77 694 6 11 0.55 0 55 40 220 0 24 min
#78 1004 6 10 0.6 0 45 180 80 197 21 min
#79 5 7 0.71 0 198 60 100 95 14 min
#80 773 5 5 1.0 0 140 100 400 205 34 min
#81 458 5 23 0.22 0 59 380 360 70 52 min
#82 845 5 8 0.62 0 55 140 300 105 29 min
#83 611 5 2 2.5 0 54 0 260 80 21 min
#84 5 2 2.5 0 52 20 140 10 11 min
#85 872 4 8 0.5 0 539 120 660 105 46 min
#86 717 4 2 2.0 0 504 0 720 355 50 min
#87 1214 4 16 0.25 0 99 60 200 10 20 min
#88 674 4 5 0.8 0 85 40 340 15 33 min
#89 4 5 0.8 0 83 60 120 30 17 min
#90 791 4 6 0.67 0 62 0 260 80 22 min
#91 684 4 11 0.36 0 40 160 160 115 27 min
#92 4 7 0.57 0 38 80 80 5 18 min
#93 803 4 6 0.67 0 26 20 460 75 35 min
#94 3 4 0.75 0 173 60 140 35 19 min
#95 3 1 3.0 0 94 100 260 505 8 min
#96 679 3 7 0.43 1 71 100 140 80 48 min
#97 558 3 19 0.16 0 56 60 720 515 51 min
#98 560 3 10 0.3 0 33 320 500 460 51 min
#99 853 3 8 0.38 0 33 60 460 5 34 min
#100 684 3 9 0.33 1 26 260 200 844 39 min
#101 3 4 0.75 0 24 60 40 5 10 min
#102 511 2 14 0.14 1 81 40 540 80 40 min
#103 725 2 7 0.29 0 33 220 60 5 20 min
#104 2 3 0.67 0 26 60 60 50 18 min
#105 649 2 9 0.22 1 21 0 320 407 23 min
#106 2 4 0.5 0 18 60 20 5 11 min
#107 412 2 3 0.67 1 17 40 500 95 31 min
#108 1 3 0.33 0 17 0 280 5 17 min
#109 1 3 0.33 0 17 20 60 0 9 min
#110 388 1 8 0.12 0 12 240 300 295 38 min
#111 755 1 7 0.14 0 11 0 380 533 28 min
#112 1 6 0.17 0 10 100 100 302 17 min
#113 1 5 0.2 0 8 0 180 90 14 min
#114 1 6 0.17 0 7 40 60 0 16 min
#115 0 0 0.0 0 411 200 860 544 3 min
#116 715 0 9 0.0 0 340 120 820 255 51 min
#117 566 0 5 0.0 0 150 680 260 130 51 min
#118 0 1 0.0 0 53 100 220 460 18 min
#119 644 0 6 0.0 0 23 20 500 790 32 min
#120 841 0 9 0.0 0 21 140 460 0 39 min
#121 0 2 0.0 0 7 40 0 0 5 min
#122 501 0 2 0.0 0 6 60 420 25 30 min
#123 651 0 2 0.0 0 6 20 200 30 21 min
#124 0 1 0.0 0 3 0 60 0 4 min
#125 0 0 0.0 0 0 0 0 0 0 min
#126 0 0 0.0 0 0 0 0 0 0 min
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#130 0 0 0.0 0 0 0 0 0 0 min
#131 0 0 0.0 0 0 0 0 0 0 min
#132 0 0 0.0 0 0 0 0 0 0 min
#133 0 1 0.0 0 0 0 180 50 13 min
#134 0 0 0.0 0 0 0 0 0 0 min
#135 0 0 0.0 0 0 0 0 0 1 min
#136 0 0 0.0 0 0 0 0 0 2 min
#137 0 0 0.0 0 0 0 0 0 0 min
#138 0 0 0.0 0 0 0 0 0 0 min
#139 0 0 0.0 0 0 0 0 0 1 min
#140 0 1 0.0 0 0 0 200 10 18 min
#141 0 0 0.0 0 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 1 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 1 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 0 0 1 min
#153 0 0 0.0 0 0 0 0 0 0 min
#154 0 0 0.0 0 0 0 0 0 1 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 0 0.0 0 0 0 0 0 1 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 0 0.0 0 0 0 0 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 2 0.0 0 0 0 40 0 5 min
#163 0 0 0.0 0 0 0 0 0 1 min
#164 0 0 0.0 0 0 0 0 0 2 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 1 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 1 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 0 0.0 0 0 0 0 0 3 min
#174 0 0 0.0 0 0 0 0 0 1 min
#175 0 0 0.0 0 0 0 0 0 0 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 0 0 1 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 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 1 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 0 0.0 0 0 0 0 0 2 min
#186 0 0 0.0 0 0 0 0 0 15 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 2 0.0 0 0 0 40 0 6 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 0 0.0 0 0 0 0 0 1 min