stalingrad_warfare

Stalingrad Warfare Day

20.11.2025 02:03 | Pathfinders Canada 1

Result

5:0

Axis wins

Players

195

Total Kills

1,921

Allied Kills

897

Axis Kills

1,024

Match Duration

79 min

Kills/Min

24.5

High Match ELO

Allies 1255.0 (all: 843.0)
Ø Match 1208.0
Axis 1161.0 (all: 813.0)

Player Statistics (195)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1453 64 12 5.33 0 820 300 1,120 80 74 min
#2 1367 62 42 1.48 2 854 560 520 742 74 min
#3 1223 61 22 2.77 1 812 380 600 2,130 62 min
#4 1017 45 6 7.5 0 428 120 880 75 56 min
#5 876 43 21 2.05 0 449 60 1,180 355 74 min
#6 1178 41 18 2.28 0 502 0 1,300 780 74 min
#7 1232 34 16 2.12 0 1,026 160 520 279 40 min
#8 820 34 8 4.25 0 320 300 820 20 61 min
#9 711 33 15 2.2 0 506 540 520 235 74 min
#10 818 31 36 0.86 0 405 620 480 530 74 min
#11 777 31 23 1.35 0 300 620 540 1,025 74 min
#12 769 30 4 7.5 1 1,192 620 820 115 74 min
#13 1042 29 26 1.12 0 451 400 800 1,050 73 min
#14 1547 29 15 1.93 0 386 440 220 90 44 min
#15 980 28 29 0.97 0 677 660 420 485 74 min
#16 1088 28 14 2.0 0 458 60 340 50 30 min
#17 874 28 16 1.75 0 256 420 600 537 61 min
#18 1001 27 24 1.12 0 728 980 240 100 74 min
#19 843 27 22 1.23 0 356 260 540 480 57 min
#20 773 26 30 0.87 0 797 820 220 170 74 min
#21 989 26 29 0.9 0 596 840 280 585 70 min
#22 953 26 30 0.87 0 543 600 480 833 74 min
#23 1220 25 23 1.09 0 1,090 1,080 60 30 71 min
#24 834 24 20 1.2 1 432 0 860 100 54 min
#25 731 24 11 2.18 0 246 460 540 0 74 min
#26 1073 23 25 0.92 0 401 600 540 335 74 min
#27 945 23 34 0.68 1 259 480 640 1,354 76 min
#28 925 23 35 0.66 0 210 280 720 4,045 77 min
#29 827 23 18 1.28 0 209 500 380 20 63 min
#30 1331 21 8 2.62 0 505 0 1,400 4,587 75 min
#31 1113 21 4 5.25 0 190 580 220 386 47 min
#32 707 21 11 1.91 1 163 160 1,200 3,310 75 min
#33 695 20 27 0.74 0 378 340 600 330 63 min
#34 1844 20 12 1.67 0 306 320 60 160 24 min
#35 808 19 4 4.75 1 855 420 900 70 72 min
#36 722 19 11 1.73 1 564 320 980 45 75 min
#37 980 19 16 1.19 0 496 140 460 170 37 min
#38 19 8 2.38 0 286 320 0 60 18 min
#39 734 19 46 0.41 0 233 380 660 660 74 min
#40 765 19 18 1.06 0 198 560 700 830 74 min
#41 838 19 11 1.73 1 165 560 500 15 71 min
#42 904 18 17 1.06 0 310 400 440 110 53 min
#43 892 18 19 0.95 0 197 320 640 240 59 min
#44 858 18 15 1.2 0 180 720 600 122 74 min
#45 911 17 6 2.83 0 309 300 800 274 62 min
#46 752 17 19 0.89 0 213 500 380 10 56 min
#47 1130 17 23 0.74 0 201 180 840 2,455 71 min
#48 553 16 15 1.07 1 195 60 660 90 46 min
#49 740 16 23 0.7 0 169 420 660 435 74 min
#50 820 16 10 1.6 0 160 300 420 260 56 min
#51 816 16 9 1.78 0 153 200 440 175 39 min
#52 671 15 23 0.65 0 456 420 760 30 74 min
#53 584 15 31 0.48 1 291 660 400 235 73 min
#54 609 15 25 0.6 0 179 400 800 683 74 min
#55 667 14 18 0.78 0 508 40 1,180 2,690 74 min
#56 768 14 20 0.7 1 194 240 680 340 65 min
#57 704 13 12 1.08 0 641 360 960 70 75 min
#58 795 13 13 1.0 0 286 360 460 5 50 min
#59 769 13 4 3.25 0 246 0 500 245 28 min
#60 13 2 6.5 0 149 0 220 0 11 min
#61 704 13 17 0.76 1 148 620 460 60 74 min
#62 855 12 23 0.52 0 380 500 620 115 73 min
#63 482 12 6 2.0 2 319 260 960 0 68 min
#64 776 12 26 0.46 0 254 220 980 1,406 74 min
#65 882 12 4 3.0 0 166 180 180 15 26 min
#66 774 12 24 0.5 0 128 260 380 110 49 min
#67 784 11 14 0.79 0 603 1,280 100 588 74 min
#68 679 11 13 0.85 0 262 300 200 5 41 min
#69 625 11 22 0.5 0 188 460 500 155 74 min
#70 867 11 17 0.65 0 109 140 280 10 33 min
#71 989 11 15 0.73 0 101 180 460 214 44 min
#72 674 10 17 0.59 0 268 0 1,300 95 76 min
#73 734 10 3 3.33 0 210 120 620 35 39 min
#74 1162 10 3 3.33 0 174 20 200 5 21 min
#75 857 10 39 0.26 1 153 660 340 872 73 min
#76 943 10 12 0.83 0 140 80 320 75 28 min
#77 612 10 22 0.45 0 129 300 360 441 49 min
#78 893 10 13 0.77 0 100 160 320 15 34 min
#79 830 9 9 1.0 0 186 200 260 10 28 min
#80 480 9 15 0.6 0 112 340 920 25 74 min
#81 833 8 5 1.6 0 282 160 320 145 30 min
#82 865 8 13 0.62 0 214 400 40 339 30 min
#83 673 7 20 0.35 0 416 1,100 120 35 74 min
#84 927 7 9 0.78 0 197 140 280 55 26 min
#85 546 7 16 0.44 0 136 340 980 485 74 min
#86 480 7 28 0.25 0 128 360 600 325 74 min
#87 781 7 23 0.3 0 118 200 600 15 64 min
#88 703 7 18 0.39 0 106 0 860 215 54 min
#89 809 7 5 1.4 0 96 220 80 25 21 min
#90 617 7 12 0.58 0 96 260 960 2,460 70 min
#91 468 7 16 0.44 0 81 460 460 30 59 min
#92 864 7 12 0.58 0 71 40 340 530 25 min
#93 7 5 1.4 0 71 60 220 15 19 min
#94 690 7 5 1.4 0 66 0 500 108 37 min
#95 981 6 10 0.6 0 170 240 380 390 39 min
#96 589 6 10 0.6 0 113 780 240 175 68 min
#97 660 6 5 1.2 0 84 200 340 0 35 min
#98 775 6 10 0.6 0 83 40 520 15 37 min
#99 812 5 5 1.0 0 850 1,160 240 130 74 min
#100 5 4 1.25 0 231 140 100 25 16 min
#101 487 5 22 0.23 1 76 600 300 510 70 min
#102 630 5 12 0.42 0 61 400 40 95 28 min
#103 5 4 1.25 0 57 60 80 94 12 min
#104 566 5 12 0.42 0 47 200 200 0 28 min
#105 5 4 1.25 0 44 0 160 40 11 min
#106 1087 4 5 0.8 0 829 420 840 25 74 min
#107 659 4 15 0.27 0 329 360 80 150 30 min
#108 820 4 12 0.33 3 303 300 1,000 255 71 min
#109 615 4 6 0.67 0 86 80 260 195 34 min
#110 509 4 8 0.5 0 44 240 740 80 61 min
#111 796 4 4 1.0 0 31 300 140 140 34 min
#112 622 3 8 0.38 0 328 1,200 160 1,008 73 min
#113 513 3 24 0.12 0 83 540 420 15 63 min
#114 3 6 0.5 0 46 60 160 10 16 min
#115 818 3 4 0.75 0 29 140 280 0 29 min
#116 857 3 4 0.75 0 28 20 340 940 26 min
#117 706 2 13 0.15 0 166 340 160 455 32 min
#118 378 2 12 0.17 0 121 80 500 0 46 min
#119 2 2 1.0 0 24 140 120 0 17 min
#120 2 5 0.4 0 23 60 60 0 11 min
#121 2 2 1.0 0 19 0 80 128 6 min
#122 2 6 0.33 0 18 140 100 0 68 min
#123 2 0 2.0 0 15 40 200 0 13 min
#124 686 1 4 0.25 0 1,182 620 820 165 74 min
#125 1 0 1.0 0 108 40 0 5 2 min
#126 683 1 4 0.25 0 37 320 40 10 22 min
#127 1 3 0.33 0 32 0 120 5 7 min
#128 499 1 6 0.17 0 29 80 300 90 24 min
#129 1 1 1.0 0 20 220 100 10 18 min
#130 1 4 0.25 0 18 0 140 0 11 min
#131 1 3 0.33 0 17 0 60 85 6 min
#132 1 7 0.14 0 14 140 40 100 13 min
#133 1 3 0.33 0 13 20 0 0 3 min
#134 1 7 0.14 0 12 60 120 5 19 min
#135 1 1 1.0 0 10 0 60 0 6 min
#136 1 8 0.12 0 10 0 300 105 19 min
#137 1 2 0.5 1 9 0 280 860 12 min
#138 1 1 1.0 0 4 0 0 0 23 min
#139 726 0 3 0.0 0 751 580 0 35 33 min
#140 0 2 0.0 0 84 100 120 0 14 min
#141 0 2 0.0 0 53 0 160 50 9 min
#142 0 1 0.0 0 20 0 60 0 7 min
#143 0 3 0.0 0 7 0 140 203 13 min
#144 0 3 0.0 0 3 120 40 0 15 min
#145 0 3 0.0 0 2 160 20 0 12 min
#146 0 1 0.0 0 1 80 40 0 11 min
#147 0 0 0.0 0 0 0 20 0 1 min
#148 0 0 0.0 0 0 0 0 0 1 min
#149 0 0 0.0 0 0 0 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 0 0 0 min
#153 0 5 0.0 0 0 80 60 0 12 min
#154 0 0 0.0 0 0 0 20 0 2 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 1 min
#158 0 0 0.0 0 0 0 0 0 1 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 1 0.0 0 0 0 40 0 4 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 1 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 0 0 1 min
#166 0 0 0.0 0 0 0 0 0 1 min
#167 0 1 0.0 0 0 0 20 0 6 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 0 0 10 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 0 0.0 0 0 0 60 0 0 min
#174 0 1 0.0 0 0 0 20 0 2 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 0 min
#178 0 0 0.0 0 0 0 0 0 21 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 0 0.0 0 0 0 0 0 4 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 0 min
#184 0 0 0.0 0 0 0 0 0 0 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 2 0.0 0 0 20 0 0 3 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 1 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 0 0.0 0 0 0 0 0 0 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