stalingrad_warfare

Stalingrad Warfare Day

16.11.2025 16:30 | Pathfinders Canada 1

Result

2:3

Allied wins

Players

190

Total Kills

2,320

Allied Kills

1,116

Axis Kills

1,204

Match Duration

90 min

Kills/Min

25.8

High Match ELO

Allies 1260.0 (all: 783.0)
Ø Match 1230.0
Axis 1200.0 (all: 814.0)

Player Statistics (190)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1724 107 39 2.74 0 1,170 840 380 588 78 min
#2 2262 105 42 2.5 0 1,159 400 400 0 58 min
#3 1523 80 27 2.96 0 1,000 160 1,280 1,227 83 min
#4 1246 51 29 1.76 0 1,027 420 960 704 85 min
#5 1096 47 27 1.74 0 502 1,040 340 660 85 min
#6 759 47 23 2.04 1 422 460 1,000 110 82 min
#7 1182 45 34 1.32 0 569 420 920 245 85 min
#8 1313 41 28 1.46 0 665 100 1,000 240 69 min
#9 845 38 19 2.0 0 655 320 1,080 1,311 88 min
#10 945 38 19 2.0 0 412 320 1,060 1,765 85 min
#11 824 35 29 1.21 0 547 220 1,000 15 85 min
#12 945 34 33 1.03 0 664 420 960 145 85 min
#13 920 34 31 1.1 0 358 320 1,080 1,256 85 min
#14 954 31 42 0.74 0 921 320 920 145 85 min
#15 837 31 26 1.19 0 424 140 1,340 927 85 min
#16 549 31 26 1.19 1 239 40 1,320 15 85 min
#17 776 30 19 1.58 0 836 1,420 60 70 80 min
#18 881 30 16 1.88 0 627 1,060 200 35 79 min
#19 909 29 28 1.04 0 233 600 280 555 57 min
#20 969 28 23 1.22 0 336 380 700 175 78 min
#21 909 28 12 2.33 0 263 560 980 6,557 85 min
#22 771 27 23 1.17 0 786 880 420 60 82 min
#23 926 26 33 0.79 0 470 100 1,200 180 85 min
#24 1081 26 33 0.79 0 433 200 1,060 1,780 82 min
#25 795 25 11 2.27 2 353 620 360 2,776 58 min
#26 819 25 21 1.19 0 236 560 920 0 85 min
#27 824 24 29 0.83 1 976 860 400 190 77 min
#28 844 24 16 1.5 1 522 180 720 400 66 min
#29 1360 24 5 4.8 0 264 160 240 130 21 min
#30 874 23 25 0.92 0 838 940 400 440 85 min
#31 728 23 21 1.1 2 642 420 580 10 64 min
#32 861 23 21 1.1 0 545 400 940 2,395 88 min
#33 708 23 28 0.82 3 253 720 760 290 85 min
#34 920 23 48 0.48 1 245 680 660 285 85 min
#35 749 22 13 1.69 0 377 1,500 100 50 85 min
#36 1121 22 10 2.2 1 209 440 1,200 4,607 85 min
#37 616 21 13 1.62 0 225 120 800 40 54 min
#38 729 21 18 1.17 0 214 120 580 45 46 min
#39 965 20 13 1.54 0 185 100 860 308 55 min
#40 559 20 20 1.0 0 184 200 1,320 45 85 min
#41 682 20 11 1.82 0 180 0 1,580 705 85 min
#42 838 19 32 0.59 1 312 840 520 1,726 85 min
#43 910 18 17 1.06 0 573 1,180 260 105 82 min
#44 999 18 15 1.2 0 262 140 720 10 49 min
#45 982 18 16 1.12 0 218 60 740 65 52 min
#46 896 18 7 2.57 0 213 0 560 155 32 min
#47 762 18 33 0.55 0 162 160 1,220 1,068 85 min
#48 857 17 23 0.74 0 545 320 1,140 332 85 min
#49 778 17 36 0.47 0 413 700 100 45 63 min
#50 844 17 6 2.83 0 189 0 580 55 29 min
#51 723 17 13 1.31 0 149 40 720 195 46 min
#52 799 16 12 1.33 0 189 160 620 0 45 min
#53 695 16 25 0.64 0 157 400 720 604 77 min
#54 883 15 8 1.88 0 638 1,020 60 578 57 min
#55 688 15 21 0.71 0 509 460 940 115 85 min
#56 815 15 18 0.83 0 386 80 1,100 1,464 76 min
#57 674 15 21 0.71 1 331 340 1,040 700 85 min
#58 724 15 18 0.83 0 321 180 660 1,750 87 min
#59 812 15 5 3.0 0 215 140 520 10 38 min
#60 916 14 9 1.56 0 680 300 300 10 45 min
#61 547 14 25 0.56 0 599 1,200 620 10 85 min
#62 635 14 21 0.67 0 189 640 440 490 65 min
#63 581 14 9 1.56 0 136 1,320 240 100 85 min
#64 1176 14 9 1.56 2 128 140 520 732 39 min
#65 726 13 23 0.57 0 625 520 920 1,509 88 min
#66 663 13 13 1.0 0 400 340 640 90 71 min
#67 660 13 28 0.46 0 224 560 500 80 70 min
#68 728 13 15 0.87 0 167 240 100 40 32 min
#69 786 13 9 1.44 0 164 300 340 20 40 min
#70 841 13 6 2.17 0 152 120 520 310 40 min
#71 849 13 8 1.62 0 133 300 40 10 25 min
#72 472 13 23 0.57 1 106 320 840 15 73 min
#73 632 12 9 1.33 1 924 780 740 310 86 min
#74 630 12 3 4.0 2 517 480 400 110 48 min
#75 815 12 3 4.0 0 472 120 380 5 28 min
#76 1154 12 7 1.71 0 240 140 240 5 34 min
#77 1417 12 15 0.8 0 178 200 220 20 32 min
#78 720 12 6 2.0 0 165 140 540 5 40 min
#79 568 12 29 0.41 0 104 260 1,060 740 81 min
#80 383 12 24 0.5 1 103 540 780 491 85 min
#81 881 11 25 0.44 0 316 240 1,100 2,060 85 min
#82 1042 11 13 0.85 0 150 40 380 235 33 min
#83 632 11 21 0.52 0 144 240 620 0 54 min
#84 537 11 30 0.37 0 143 380 900 1,000 85 min
#85 969 11 20 0.55 0 117 60 560 0 44 min
#86 681 11 24 0.46 0 107 260 380 526 46 min
#87 566 11 21 0.52 1 97 420 220 230 46 min
#88 680 10 10 1.0 0 88 80 1,040 635 74 min
#89 983 10 7 1.43 0 83 220 160 281 26 min
#90 593 9 6 1.5 0 1,602 2,260 200 345 85 min
#91 584 9 25 0.36 0 427 740 40 40 51 min
#92 743 9 9 1.0 0 294 400 840 165 71 min
#93 892 9 6 1.5 0 226 140 220 275 21 min
#94 561 9 29 0.31 0 170 320 860 20 81 min
#95 716 9 21 0.43 0 150 200 360 0 45 min
#96 601 9 13 0.69 0 95 180 160 295 28 min
#97 523 8 33 0.24 0 163 340 720 180 71 min
#98 604 8 12 0.67 0 84 140 620 25 46 min
#99 8 1 8.0 0 72 80 180 130 14 min
#100 7 1 7.0 0 423 200 100 0 19 min
#101 646 7 23 0.3 0 403 1,160 320 440 85 min
#102 825 7 9 0.78 0 237 140 400 15 36 min
#103 641 7 17 0.41 0 71 340 340 15 44 min
#104 909 7 4 1.75 0 62 280 80 20 24 min
#105 7 3 2.33 0 50 40 320 20 20 min
#106 1009 6 5 1.2 3 1,076 840 860 30 85 min
#107 453 6 7 0.86 1 297 480 1,060 10 88 min
#108 610 6 8 0.75 0 126 280 320 246 37 min
#109 743 6 10 0.6 0 56 180 80 90 21 min
#110 494 6 11 0.55 4 52 200 540 1,109 52 min
#111 5 10 0.5 0 52 100 100 10 17 min
#112 550 5 6 0.83 0 49 160 180 10 31 min
#113 5 10 0.5 0 46 140 80 10 18 min
#114 592 4 13 0.31 1 189 340 80 75 32 min
#115 1003 4 11 0.36 1 98 60 280 105 26 min
#116 723 4 6 0.67 0 94 60 340 0 27 min
#117 4 3 1.33 0 41 20 120 0 12 min
#118 4 6 0.67 0 39 20 160 10 13 min
#119 4 5 0.8 0 33 20 140 25 10 min
#120 4 3 1.33 0 29 0 40 0 3 min
#121 725 3 8 0.38 0 399 0 640 265 43 min
#122 696 3 13 0.23 0 335 1,480 140 358 85 min
#123 566 3 30 0.1 0 164 660 580 1,135 80 min
#124 367 3 15 0.2 0 37 420 1,280 515 63 min
#125 3 4 0.75 0 29 80 160 20 17 min
#126 3 2 1.5 0 27 40 220 95 15 min
#127 3 8 0.38 0 25 200 20 50 16 min
#128 3 3 1.0 0 24 20 80 25 7 min
#129 818 2 3 0.67 0 173 40 500 0 31 min
#130 589 2 6 0.33 0 77 200 140 55 34 min
#131 2 2 1.0 0 50 60 60 5 8 min
#132 575 2 22 0.09 0 40 240 740 155 61 min
#133 2 1 2.0 0 27 0 160 0 12 min
#134 560 2 13 0.15 0 23 260 480 0 45 min
#135 814 2 8 0.25 0 22 0 280 5 20 min
#136 2 0 2.0 0 21 0 80 0 5 min
#137 2 3 0.67 0 20 60 60 0 9 min
#138 662 1 8 0.12 1 399 240 1,300 15 85 min
#139 1 6 0.17 0 65 40 220 10 18 min
#140 1 11 0.09 2 23 120 80 5 19 min
#141 1 5 0.2 0 11 20 200 0 15 min
#142 1 3 0.33 0 8 60 40 0 8 min
#143 1 1 1.0 0 5 0 40 0 10 min
#144 1 1 1.0 0 5 0 60 0 4 min
#145 1 0 1.0 0 5 0 140 10 9 min
#146 0 7 0.0 0 50 100 160 10 17 min
#147 0 1 0.0 0 10 0 40 0 4 min
#148 593 0 10 0.0 0 8 80 180 103 27 min
#149 0 4 0.0 0 7 20 100 0 12 min
#150 0 2 0.0 0 4 40 0 0 7 min
#151 0 2 0.0 0 2 0 180 100 10 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 2 0.0 0 0 20 0 0 3 min
#155 0 0 0.0 0 0 0 0 0 1 min
#156 0 4 0.0 0 0 0 60 5 5 min
#157 0 0 0.0 0 0 0 0 0 1 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 4 0.0 0 0 40 0 90 6 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 0 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 2 0.0 0 0 40 0 0 5 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 0 min
#169 0 0 0.0 0 0 0 0 0 1 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 1 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 0 0 1 min
#176 0 1 0.0 0 0 0 60 0 4 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 0 0.0 0 0 0 0 0 2 min
#179 0 0 0.0 0 0 0 0 0 1 min
#180 0 0 0.0 0 0 0 0 0 85 min
#181 0 1 0.0 0 0 0 0 0 2 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 10 min
#184 544 0 3 0.0 0 0 40 220 0 23 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 0 0.0 1 0 0 100 0 7 min
#187 0 0 0.0 0 0 0 0 0 0 min
#188 0 0 0.0 0 0 0 0 0 1 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 0 0.0 0 0 0 0 0 2 min