stalingrad_warfare

Stalingrad Warfare Day

07.11.2025 04:41 | Pathfinders Canada 1

Result

0:5

Allied wins

Players

173

Total Kills

2,043

Allied Kills

1,090

Axis Kills

953

Match Duration

81 min

Kills/Min

25.3

High Match ELO

Allies 1319.0 (all: 801.0)
Ø Match 1356.0
Axis 1394.0 (all: 867.0)

Player Statistics (173)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1817 75 34 2.21 1 1,031 600 500 40 74 min
#2 1631 64 20 3.2 0 1,183 900 280 150 71 min
#3 1683 60 22 2.73 1 1,331 280 960 85 75 min
#4 1716 60 18 3.33 0 568 420 840 170 75 min
#5 1196 57 22 2.59 0 620 680 560 15 77 min
#6 1459 53 21 2.52 0 815 680 600 320 76 min
#7 1341 49 23 2.13 0 836 540 700 1,182 75 min
#8 1094 45 16 2.81 0 528 380 940 55 77 min
#9 1308 39 21 1.86 1 721 780 580 1,057 76 min
#10 1063 39 28 1.39 0 624 400 760 620 77 min
#11 803 36 26 1.38 1 420 460 660 850 73 min
#12 1188 35 12 2.92 1 1,013 680 660 870 76 min
#13 1469 32 18 1.78 0 1,122 1,140 200 95 77 min
#14 1237 31 27 1.15 1 749 640 480 300 76 min
#15 1352 29 17 1.71 1 345 240 800 235 69 min
#16 875 29 14 2.07 0 259 500 380 5 60 min
#17 1751 28 5 5.6 0 398 260 160 95 26 min
#18 813 28 12 2.33 0 248 440 580 200 61 min
#19 781 27 8 3.38 0 590 160 780 85 57 min
#20 948 26 22 1.18 0 1,107 860 340 766 76 min
#21 1144 26 19 1.37 0 717 280 520 305 54 min
#22 830 26 26 1.0 0 631 160 1,100 522 76 min
#23 896 26 22 1.18 0 438 200 1,040 2,025 77 min
#24 689 26 28 0.93 0 364 940 260 55 77 min
#25 683 25 6 4.17 0 957 400 980 115 76 min
#26 864 25 30 0.83 0 587 440 760 10 76 min
#27 890 25 15 1.67 1 585 280 500 10 53 min
#28 934 25 16 1.56 2 414 80 1,260 3,636 76 min
#29 870 24 25 0.96 0 957 900 360 1,256 80 min
#30 1027 24 29 0.83 1 720 1,000 240 1,387 76 min
#31 662 24 22 1.09 0 443 680 140 165 59 min
#32 1138 24 19 1.26 0 329 80 700 115 52 min
#33 1213 24 31 0.77 2 300 380 660 225 76 min
#34 1158 23 9 2.56 1 708 500 260 55 45 min
#35 1039 22 17 1.29 0 240 100 860 742 62 min
#36 942 21 16 1.31 0 836 1,840 500 1,454 77 min
#37 724 21 26 0.81 0 372 320 680 205 66 min
#38 944 20 28 0.71 0 221 620 660 632 76 min
#39 1507 19 6 3.17 0 364 120 420 90 37 min
#40 1033 19 16 1.19 0 182 680 400 415 79 min
#41 842 19 15 1.27 1 148 200 480 120 44 min
#42 915 18 17 1.06 0 631 720 260 70 76 min
#43 576 18 6 3.0 3 298 320 1,060 0 79 min
#44 581 18 32 0.56 0 225 920 200 330 76 min
#45 925 17 24 0.71 1 1,161 940 280 50 76 min
#46 875 17 35 0.49 0 467 40 1,100 1,217 76 min
#47 947 17 24 0.71 0 180 440 740 478 78 min
#48 698 16 27 0.59 1 969 740 360 170 76 min
#49 586 16 15 1.07 1 785 700 400 0 76 min
#50 943 15 23 0.65 0 495 20 1,160 561 77 min
#51 538 14 5 2.8 1 1,005 360 820 20 65 min
#52 633 14 9 1.56 0 371 200 960 1,395 76 min
#53 1178 14 16 0.88 0 290 60 460 310 34 min
#54 537 14 21 0.67 0 215 140 1,080 100 79 min
#55 678 13 16 0.81 1 254 80 580 185 43 min
#56 849 13 17 0.76 0 225 40 400 100 36 min
#57 522 13 36 0.36 1 209 260 800 335 73 min
#58 693 12 22 0.55 0 312 960 360 1,176 77 min
#59 600 12 18 0.67 0 139 200 1,120 15 77 min
#60 984 12 9 1.33 0 134 140 320 0 33 min
#61 821 12 10 1.2 0 127 380 120 100 31 min
#62 928 12 7 1.71 0 110 220 200 10 23 min
#63 894 11 5 2.2 2 295 140 460 10 38 min
#64 699 11 12 0.92 0 210 140 300 85 32 min
#65 636 11 25 0.44 2 180 160 1,040 60 76 min
#66 678 11 17 0.65 1 156 800 260 0 76 min
#67 664 11 29 0.38 0 135 680 460 2,885 76 min
#68 879 11 16 0.69 0 113 460 360 520 51 min
#69 962 11 18 0.61 0 110 400 200 20 45 min
#70 808 11 4 2.75 0 107 260 220 0 33 min
#71 742 10 5 2.0 0 227 360 820 595 25 min
#72 700 10 29 0.34 0 153 180 1,000 2,416 76 min
#73 793 10 9 1.11 0 142 360 200 225 34 min
#74 858 10 14 0.71 0 65 100 1,260 3,912 77 min
#75 869 9 14 0.64 0 285 960 300 332 76 min
#76 835 9 18 0.5 0 280 380 80 0 40 min
#77 732 9 29 0.31 0 93 100 1,100 902 76 min
#78 797 9 21 0.43 0 87 420 60 550 35 min
#79 453 8 24 0.33 0 272 180 1,020 407 76 min
#80 893 8 16 0.5 0 219 80 1,240 650 75 min
#81 523 8 20 0.4 0 176 140 1,160 35 76 min
#82 1254 8 16 0.5 0 100 40 640 495 44 min
#83 554 8 11 0.73 0 91 160 380 20 47 min
#84 648 8 8 1.0 0 89 0 420 10 30 min
#85 527 8 20 0.4 0 89 500 780 15 76 min
#86 8 8 1.0 0 85 80 140 0 19 min
#87 573 8 12 0.67 0 74 0 560 20 40 min
#88 664 8 13 0.62 0 57 80 200 5 22 min
#89 673 7 14 0.5 0 243 400 440 949 69 min
#90 636 7 7 1.0 0 126 0 580 0 37 min
#91 614 7 31 0.23 0 92 720 480 325 77 min
#92 606 7 9 0.78 0 70 840 120 10 56 min
#93 460 7 30 0.23 0 62 680 380 110 77 min
#94 6 1 6.0 0 107 40 280 5 18 min
#95 807 6 3 2.0 0 107 100 220 85 20 min
#96 6 6 1.0 0 70 100 160 5 18 min
#97 749 6 18 0.33 0 68 140 540 105 43 min
#98 857 6 10 0.6 0 61 260 300 0 41 min
#99 603 6 10 0.6 1 56 200 100 50 31 min
#100 902 5 18 0.28 0 296 240 580 1,273 56 min
#101 586 5 29 0.17 0 278 700 400 840 76 min
#102 494 5 16 0.31 0 164 140 600 775 51 min
#103 416 5 5 1.0 0 52 220 1,000 10 78 min
#104 639 5 16 0.31 0 47 200 380 230 51 min
#105 703 4 21 0.19 0 93 400 740 1,533 77 min
#106 697 4 9 0.44 0 79 120 160 10 21 min
#107 597 4 10 0.4 0 51 240 340 0 44 min
#108 807 4 6 0.67 0 44 200 140 75 23 min
#109 4 2 2.0 0 42 140 40 5 12 min
#110 831 4 6 0.67 0 38 80 480 100 35 min
#111 4 0 4.0 0 38 20 60 0 6 min
#112 525 4 5 0.8 0 38 220 80 0 22 min
#113 575 3 14 0.21 0 94 140 460 10 43 min
#114 557 2 5 0.4 0 360 160 600 40 41 min
#115 580 2 2 1.0 0 319 0 440 10 25 min
#116 2 0 2.0 0 199 0 300 40 17 min
#117 720 2 11 0.18 0 83 300 80 5 32 min
#118 708 2 12 0.17 0 28 140 220 85 54 min
#119 2 2 1.0 0 25 0 120 10 9 min
#120 621 2 8 0.25 0 19 60 520 280 39 min
#121 819 2 11 0.18 0 18 200 60 15 20 min
#122 2 1 2.0 0 18 0 40 0 13 min
#123 2 3 0.67 0 17 0 20 10 7 min
#124 540 2 7 0.29 0 16 0 200 0 22 min
#125 477 2 3 0.67 0 15 240 60 75 21 min
#126 471 1 3 0.33 0 887 280 500 90 41 min
#127 640 1 3 0.33 0 195 200 560 55 42 min
#128 1170 1 9 0.11 1 135 20 280 60 25 min
#129 468 1 27 0.04 0 72 480 520 495 76 min
#130 478 1 4 0.25 0 61 140 200 0 22 min
#131 1 2 0.5 0 13 80 20 0 9 min
#132 1 0 1.0 0 11 20 0 0 3 min
#133 545 0 5 0.0 0 358 160 600 45 41 min
#134 0 0 0.0 0 292 540 240 170 0 min
#135 0 0 0.0 0 98 400 220 90 0 min
#136 439 0 4 0.0 0 45 100 520 110 36 min
#137 0 0 0.0 0 37 0 440 5 11 min
#138 427 0 9 0.0 0 5 200 300 200 38 min
#139 0 3 0.0 0 4 60 160 50 16 min
#140 0 1 0.0 0 1 0 80 0 5 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 2 0.0 2 0 0 100 173 4 min
#144 0 0 0.0 0 0 0 0 0 2 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 13 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 2 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 0 0.0 0 0 0 0 0 0 min
#154 0 0 0.0 0 0 0 0 0 2 min
#155 0 1 0.0 0 0 0 100 0 6 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 3 min
#158 0 0 0.0 0 0 0 0 0 0 min
#159 0 0 0.0 0 0 0 20 31 0 min
#160 0 0 0.0 0 0 0 0 0 1 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 7 min
#163 0 0 0.0 0 0 0 0 0 7 min
#164 0 0 0.0 0 0 0 0 0 0 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 0 min
#168 0 0 0.0 0 0 0 0 0 1 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 0 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 0 0.0 0 0 0 0 0 0 min