stalingrad_warfare

Stalingrad Warfare Day

04.11.2025 07:44 | Pathfinders Canada 1

Result

4:1

Axis wins

Players

197

Total Kills

2,360

Allied Kills

1,038

Axis Kills

1,322

Match Duration

92 min

Kills/Min

25.7

High Match ELO

Allies 1237.0 (all: 808.0)
Ø Match 1233.0
Axis 1228.0 (all: 845.0)

Player Statistics (197)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1632 78 38 2.05 0 1,139 320 1,000 475 87 min
#2 1142 74 29 2.55 0 1,082 700 680 195 88 min
#3 1099 67 16 4.19 2 805 0 1,380 800 84 min
#4 1399 66 14 4.71 1 1,165 780 800 4,958 90 min
#5 1281 58 29 2.0 1 1,324 1,040 380 375 87 min
#6 1300 58 24 2.42 0 1,201 980 320 470 88 min
#7 1472 56 45 1.24 0 656 600 660 1,345 90 min
#8 1304 53 12 4.42 4 752 40 1,540 5,514 87 min
#9 1152 49 34 1.44 0 663 780 640 910 87 min
#10 1560 47 35 1.34 0 925 720 280 974 62 min
#11 1189 47 21 2.24 0 591 1,040 520 60 87 min
#12 1103 46 34 1.35 0 616 380 940 1,772 87 min
#13 804 44 19 2.32 0 469 900 600 265 87 min
#14 1518 43 17 2.53 0 553 180 520 25 53 min
#15 865 42 23 1.83 10 339 0 1,540 15 87 min
#16 953 39 27 1.44 1 514 260 1,040 90 87 min
#17 1109 39 44 0.89 1 412 900 320 1,065 88 min
#18 743 36 20 1.8 1 352 460 960 509 89 min
#19 870 33 18 1.83 0 704 1,000 540 533 87 min
#20 983 33 14 2.36 0 380 60 1,060 5 67 min
#21 717 33 36 0.92 0 298 520 860 1,277 87 min
#22 950 32 48 0.67 0 374 360 520 0 67 min
#23 843 31 37 0.84 1 633 800 620 65 87 min
#24 887 30 34 0.88 0 296 280 820 15 74 min
#25 966 30 24 1.25 0 283 360 460 90 58 min
#26 659 29 6 4.83 0 1,353 440 1,120 45 84 min
#27 1198 29 37 0.78 0 791 880 340 265 88 min
#28 1123 29 19 1.53 2 531 100 1,340 1,735 87 min
#29 1015 29 16 1.81 0 422 1,480 80 65 87 min
#30 722 28 11 2.55 2 1,166 160 1,360 65 88 min
#31 1068 27 24 1.12 0 455 160 680 205 57 min
#32 773 26 20 1.3 0 764 1,460 120 270 87 min
#33 804 26 45 0.58 0 371 440 540 1,020 70 min
#34 685 26 34 0.76 1 368 520 900 225 88 min
#35 667 24 35 0.69 0 402 200 1,200 315 88 min
#36 948 23 24 0.96 1 208 1,020 300 45 87 min
#37 885 22 13 1.69 0 287 440 340 90 53 min
#38 885 22 16 1.38 0 241 260 800 1,190 68 min
#39 626 22 29 0.76 1 227 740 620 160 87 min
#40 736 21 29 0.72 0 512 620 620 455 87 min
#41 951 21 33 0.64 0 450 380 800 665 86 min
#42 1079 21 23 0.91 0 362 400 840 2,975 87 min
#43 684 21 24 0.88 0 263 720 760 48 89 min
#44 884 21 29 0.72 0 204 580 460 1,046 74 min
#45 1067 20 23 0.87 0 206 300 280 518 38 min
#46 1014 20 12 1.67 0 183 380 580 35 54 min
#47 1031 19 9 2.11 0 210 60 540 125 40 min
#48 1071 19 18 1.06 0 172 100 240 25 29 min
#49 769 18 25 0.72 0 254 900 1,020 2,099 88 min
#50 496 18 22 0.82 1 239 80 1,240 85 87 min
#51 693 18 41 0.44 3 234 480 800 120 88 min
#52 619 17 22 0.77 2 252 540 360 0 64 min
#53 648 17 24 0.71 0 241 120 1,040 75 74 min
#54 950 16 13 1.23 0 308 600 580 1,064 69 min
#55 860 16 30 0.53 0 170 240 580 530 59 min
#56 683 16 5 3.2 1 153 220 880 55 62 min
#57 1108 15 11 1.36 0 420 640 80 45 33 min
#58 903 15 6 2.5 0 237 200 300 380 31 min
#59 1029 15 5 3.0 0 221 100 360 10 25 min
#60 614 15 19 0.79 0 140 120 1,340 620 88 min
#61 861 14 21 0.67 0 286 40 1,340 2,791 87 min
#62 908 14 25 0.56 0 178 480 380 5 56 min
#63 833 13 6 2.17 0 1,200 160 1,420 90 89 min
#64 810 13 22 0.59 0 640 1,160 320 738 87 min
#65 536 13 29 0.45 0 167 640 480 1,915 87 min
#66 843 12 29 0.41 3 774 400 480 70 64 min
#67 797 12 13 0.92 1 180 60 600 60 43 min
#68 581 12 24 0.5 0 139 380 1,000 530 87 min
#69 628 12 24 0.5 0 106 100 1,280 70 88 min
#70 828 11 14 0.79 1 1,101 940 460 1,277 87 min
#71 966 11 24 0.46 0 260 380 880 1,590 77 min
#72 419 11 29 0.38 0 117 380 960 75 87 min
#73 715 11 6 1.83 0 115 160 580 0 42 min
#74 619 11 7 1.57 0 95 40 1,320 80 74 min
#75 590 10 8 1.25 1 382 180 1,320 135 87 min
#76 642 10 24 0.42 0 261 300 620 255 79 min
#77 647 10 12 0.83 0 255 40 800 347 51 min
#78 676 10 36 0.28 0 178 340 720 425 85 min
#79 600 10 31 0.32 0 95 660 480 35 88 min
#80 1128 10 14 0.71 0 93 260 220 15 35 min
#81 878 10 21 0.48 0 92 240 560 25 65 min
#82 788 9 7 1.29 2 304 140 1,080 140 70 min
#83 667 9 25 0.36 0 92 20 280 85 35 min
#84 9 9 1.0 0 85 160 40 5 16 min
#85 724 9 5 1.8 0 83 120 280 0 28 min
#86 569 8 36 0.22 1 244 180 760 415 72 min
#87 8 2 4.0 0 229 0 160 30 12 min
#88 805 8 9 0.89 0 74 100 460 5 38 min
#89 810 7 12 0.58 0 975 1,480 80 399 89 min
#90 628 7 2 3.5 0 90 0 440 15 25 min
#91 571 7 12 0.58 0 79 340 300 0 47 min
#92 805 7 10 0.7 0 65 100 180 85 30 min
#93 464 7 45 0.16 0 62 380 960 150 87 min
#94 717 6 7 0.86 0 1,182 160 1,440 185 91 min
#95 684 6 13 0.46 0 1,169 680 720 732 87 min
#96 726 6 9 0.67 0 998 860 500 152 77 min
#97 410 6 15 0.4 0 361 80 520 5 38 min
#98 644 6 11 0.55 0 357 1,460 140 20 87 min
#99 827 6 11 0.55 0 215 180 160 20 25 min
#100 565 6 20 0.3 0 129 840 500 860 89 min
#101 697 5 4 1.25 0 68 40 360 0 23 min
#102 397 5 13 0.38 0 52 300 460 5 54 min
#103 790 4 6 0.67 0 1,036 280 840 280 61 min
#104 815 4 11 0.36 0 374 340 200 40 33 min
#105 816 4 13 0.31 0 260 260 40 5 30 min
#106 4 6 0.67 0 43 0 140 20 12 min
#107 850 4 4 1.0 0 42 140 280 280 26 min
#108 735 3 8 0.38 0 228 80 1,140 2,790 86 min
#109 602 3 33 0.09 1 161 640 680 90 87 min
#110 856 3 5 0.6 0 48 100 80 95 21 min
#111 528 3 18 0.17 0 47 320 540 500 77 min
#112 646 3 5 0.6 0 37 220 40 150 27 min
#113 607 3 3 1.0 0 35 160 140 5 28 min
#114 261 3 5 0.6 0 33 0 480 75 75 min
#115 522 2 3 0.67 1 759 240 480 20 41 min
#116 519 2 7 0.29 0 176 280 320 60 40 min
#117 749 2 10 0.2 0 113 120 100 480 25 min
#118 807 2 5 0.4 0 69 180 280 825 50 min
#119 666 2 9 0.22 0 68 160 140 15 25 min
#120 2 4 0.5 0 29 0 180 15 14 min
#121 2 2 1.0 0 27 80 20 0 14 min
#122 2 5 0.4 0 27 20 60 80 11 min
#123 1022 2 11 0.18 0 19 100 140 10 23 min
#124 2 5 0.4 0 16 0 240 150 17 min
#125 465 1 13 0.08 1 17 260 680 125 62 min
#126 1 0 1.0 0 15 0 20 0 3 min
#127 978 1 3 0.33 0 14 120 240 150 21 min
#128 1 6 0.17 0 12 40 200 75 17 min
#129 1 0 1.0 0 10 0 100 0 7 min
#130 1 6 0.17 0 10 120 100 0 16 min
#131 1 4 0.25 0 4 0 140 0 10 min
#132 0 0 0.0 0 280 40 460 171 87 min
#133 0 1 0.0 0 8 40 60 10 9 min
#134 0 1 0.0 0 5 0 40 0 6 min
#135 0 0 0.0 0 2 0 20 0 3 min
#136 0 0 0.0 0 0 0 0 0 10 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 0 0.0 0 0 0 0 0 0 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 0 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 2 0.0 0 0 20 0 0 4 min
#146 0 0 0.0 0 0 0 0 0 1 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 87 min
#152 0 0 0.0 0 0 0 0 0 0 min
#153 0 0 0.0 0 0 0 0 0 0 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 0 0.0 0 0 0 0 25 1 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 0 0.0 0 0 0 0 0 0 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 0 0 2 min
#161 0 1 0.0 2 0 0 60 75 5 min
#162 0 0 0.0 0 0 0 0 0 1 min
#163 0 0 0.0 1 0 0 40 75 9 min
#164 0 0 0.0 0 0 0 0 25 2 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 3 0.0 0 0 0 40 0 5 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 0 min
#171 0 0 0.0 0 0 0 40 60 3 min
#172 0 0 0.0 0 0 0 0 0 0 min
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#182 0 0 0.0 0 0 0 0 0 5 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
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#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 1 min
#190 0 0 0.0 0 0 0 0 0 0 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 0 0.0 0 0 0 0 0 0 min
#193 0 2 0.0 0 0 20 120 90 10 min
#194 0 0 0.0 0 0 0 0 0 0 min
#195 0 0 0.0 0 0 0 0 0 0 min
#196 0 0 0.0 0 0 0 0 0 0 min
#197 0 0 0.0 0 0 0 0 0 2 min