stalingrad_warfare

Stalingrad Warfare Day

07.04.2025 17:52 | [GER] 106. Panzerbrigade

Result

5:0

Axis wins

Players

196

Total Kills

2,238

Allied Kills

1,025

Axis Kills

1,213

Match Duration

91 min

Kills/Min

24.6

Normal Match ELO

Allies 1073.0 (all: 727.0)
Ø Match 1071.0
Axis 1068.0 (all: 736.0)

Player Statistics (196)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1364 101 21 4.81 0 963 20 1,500 55 87 min
#2 1076 97 39 2.49 2 899 380 1,000 165 86 min
#3 1267 70 38 1.84 0 655 1,240 120 110 88 min
#4 1118 66 21 3.14 0 634 180 1,300 60 86 min
#5 805 53 41 1.29 0 460 140 1,220 1,064 88 min
#6 964 48 24 2.0 1 459 760 640 573 86 min
#7 1352 47 36 1.31 0 422 400 620 1,338 66 min
#8 742 44 11 4.0 0 381 1,160 380 30 86 min
#9 792 42 22 1.91 1 378 120 1,020 30 79 min
#10 744 40 39 1.03 0 659 260 1,040 2,915 86 min
#11 1074 38 24 1.58 0 430 1,300 100 719 87 min
#12 868 38 29 1.31 0 381 560 580 45 76 min
#13 676 37 31 1.19 0 317 820 560 5 87 min
#14 930 34 28 1.21 0 324 640 420 310 67 min
#15 899 32 28 1.14 0 378 880 340 135 82 min
#16 819 32 14 2.29 0 331 660 420 65 64 min
#17 777 31 32 0.97 0 331 860 500 25 89 min
#18 1086 31 29 1.07 0 323 760 300 939 71 min
#19 832 31 24 1.29 0 246 340 860 415 82 min
#20 914 29 34 0.85 0 398 140 1,020 2,905 83 min
#21 654 29 34 0.85 0 348 540 820 560 86 min
#22 599 29 24 1.21 0 287 360 1,040 385 86 min
#23 787 29 27 1.07 0 286 340 1,100 50 88 min
#24 890 27 15 1.8 0 482 720 420 2,120 82 min
#25 976 26 14 1.86 0 296 180 500 125 43 min
#26 454 24 11 2.18 0 786 80 1,520 120 88 min
#27 683 24 6 4.0 0 462 20 1,040 95 57 min
#28 933 24 17 1.41 0 386 540 100 80 43 min
#29 725 24 24 1.0 1 278 160 860 295 73 min
#30 615 23 12 1.92 0 200 880 340 50 81 min
#31 690 22 23 0.96 1 344 320 1,140 215 86 min
#32 650 22 20 1.1 1 206 380 1,000 65 86 min
#33 730 20 14 1.43 0 202 1,120 320 345 86 min
#34 828 20 15 1.33 0 199 120 740 30 52 min
#35 754 20 21 0.95 0 188 880 580 1,510 86 min
#36 645 20 26 0.77 0 177 120 1,180 685 89 min
#37 745 20 17 1.18 0 175 460 620 120 80 min
#38 697 20 18 1.11 2 166 320 1,200 5,294 86 min
#39 507 19 52 0.37 3 219 660 440 10 83 min
#40 738 19 24 0.79 0 200 740 660 633 86 min
#41 492 19 31 0.61 0 160 120 1,200 2,665 90 min
#42 720 19 13 1.46 0 136 100 300 598 49 min
#43 561 18 29 0.62 0 200 480 400 25 62 min
#44 745 18 26 0.69 0 194 740 520 375 87 min
#45 765 18 9 2.0 0 175 480 200 10 41 min
#46 686 18 16 1.12 0 170 60 1,180 514 79 min
#47 899 18 5 3.6 0 159 300 180 20 28 min
#48 588 17 19 0.89 1 282 520 820 678 83 min
#49 577 17 33 0.52 0 165 240 1,100 150 86 min
#50 690 17 24 0.71 0 160 80 1,060 190 86 min
#51 723 17 28 0.61 1 159 880 420 974 86 min
#52 691 17 35 0.49 0 158 560 500 5 74 min
#53 793 17 18 0.94 0 138 200 620 0 54 min
#54 707 17 11 1.55 2 136 20 1,600 6,532 86 min
#55 721 16 27 0.59 0 219 920 340 245 81 min
#56 817 16 19 0.84 1 172 20 1,460 2,251 89 min
#57 872 16 6 2.67 0 172 140 460 75 46 min
#58 1063 15 8 1.88 1 483 420 60 105 33 min
#59 455 15 15 1.0 1 173 180 1,160 250 86 min
#60 604 15 25 0.6 1 139 100 1,380 1,281 89 min
#61 660 15 15 1.0 0 134 540 160 15 48 min
#62 633 14 30 0.47 0 240 760 200 145 64 min
#63 759 14 24 0.58 0 130 120 840 550 70 min
#64 500 13 23 0.57 1 147 240 1,180 115 89 min
#65 646 13 11 1.18 0 128 60 680 360 55 min
#66 700 13 8 1.62 1 121 260 100 40 25 min
#67 691 12 7 1.71 0 238 0 920 60 55 min
#68 748 12 16 0.75 1 155 80 1,320 436 86 min
#69 742 12 19 0.63 0 149 300 1,160 15 88 min
#70 12 3 4.0 0 124 0 300 15 18 min
#71 696 12 26 0.46 1 106 560 400 606 64 min
#72 547 12 19 0.63 0 93 240 640 110 63 min
#73 453 11 42 0.26 0 984 880 1,580 150 88 min
#74 930 11 12 0.92 0 254 220 400 65 41 min
#75 637 11 27 0.41 0 219 400 300 40 53 min
#76 854 11 12 0.92 0 102 300 180 120 42 min
#77 545 11 13 0.85 1 101 160 1,360 685 86 min
#78 911 11 6 1.83 0 101 40 320 300 28 min
#79 494 11 18 0.61 5 84 660 680 515 83 min
#80 617 10 13 0.77 0 126 660 760 30 86 min
#81 870 10 18 0.56 0 117 320 140 105 35 min
#82 756 10 11 0.91 0 108 340 180 260 32 min
#83 806 10 7 1.43 0 90 60 220 190 22 min
#84 755 10 8 1.25 0 83 200 440 1,295 40 min
#85 10 5 2.0 0 73 200 140 25 20 min
#86 502 10 14 0.71 0 71 380 580 30 58 min
#87 510 9 8 1.12 1 236 40 1,120 65 78 min
#88 704 9 25 0.36 0 134 120 1,160 60 88 min
#89 340 9 34 0.26 1 99 620 360 0 79 min
#90 9 3 3.0 0 92 0 140 10 19 min
#91 435 9 13 0.69 0 84 20 1,080 345 66 min
#92 9 6 1.5 1 81 0 180 25 14 min
#93 504 8 14 0.57 0 94 140 780 105 58 min
#94 8 2 4.0 0 77 20 280 0 18 min
#95 532 8 35 0.23 0 68 160 1,220 1,054 86 min
#96 604 7 1 7.0 1 569 160 360 0 28 min
#97 745 7 15 0.47 0 82 180 720 5 58 min
#98 778 7 7 1.0 0 70 320 100 10 28 min
#99 7 6 1.17 0 69 160 40 20 15 min
#100 840 7 7 1.0 0 54 0 600 145 38 min
#101 726 6 8 0.75 0 165 260 80 40 24 min
#102 837 6 6 1.0 0 153 0 540 130 33 min
#103 592 5 5 1.0 0 162 20 620 50 39 min
#104 460 5 16 0.31 0 104 100 1,340 105 88 min
#105 576 4 1 4.0 0 355 460 820 30 25 min
#106 511 4 31 0.13 0 55 680 260 30 79 min
#107 534 4 2 2.0 0 50 0 480 150 27 min
#108 621 4 6 0.67 0 38 180 180 240 24 min
#109 768 3 9 0.33 0 292 40 1,400 50 86 min
#110 504 3 12 0.25 0 58 340 1,160 861 86 min
#111 638 3 12 0.25 4 39 0 560 35 40 min
#112 3 10 0.3 0 36 100 140 105 19 min
#113 3 8 0.38 0 32 0 160 0 17 min
#114 582 3 11 0.27 0 28 140 200 0 29 min
#115 719 3 7 0.43 0 25 120 220 0 26 min
#116 592 2 1 2.0 0 560 160 360 15 28 min
#117 669 2 9 0.22 2 32 20 700 60 50 min
#118 469 2 11 0.18 0 30 500 340 45 50 min
#119 2 1 2.0 0 17 40 80 25 9 min
#120 574 2 5 0.4 0 15 80 140 243 24 min
#121 2 3 0.67 0 14 40 60 5 10 min
#122 1033 1 6 0.17 0 334 0 1,100 170 57 min
#123 1 0 1.0 0 112 0 1,160 0 25 min
#124 1 4 0.25 0 21 180 40 0 18 min
#125 1 7 0.14 0 21 0 240 10 18 min
#126 1 4 0.25 0 20 180 100 5 18 min
#127 1 2 0.5 0 18 40 160 10 13 min
#128 1 2 0.5 0 13 40 160 0 16 min
#129 1 4 0.25 0 12 0 60 5 13 min
#130 559 1 14 0.07 0 11 160 340 925 48 min
#131 666 1 11 0.09 2 11 20 700 280 50 min
#132 1 2 0.5 0 7 20 100 10 9 min
#133 659 0 11 0.0 0 655 100 1,520 175 86 min
#134 619 0 7 0.0 0 354 20 800 45 49 min
#135 0 2 0.0 0 112 0 360 20 18 min
#136 0 1 0.0 0 13 0 300 0 3 min
#137 0 2 0.0 0 12 40 40 0 6 min
#138 539 0 6 0.0 0 8 40 160 40 26 min
#139 0 2 0.0 0 7 0 320 10 20 min
#140 0 3 0.0 0 4 0 100 0 9 min
#141 648 0 3 0.0 3 3 40 280 30 21 min
#142 0 2 0.0 0 3 80 80 0 12 min
#143 0 0 0.0 5 1 0 180 0 14 min
#144 0 2 0.0 0 1 20 140 0 11 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 2 min
#147 0 0 0.0 0 0 0 0 0 7 min
#148 0 1 0.0 0 0 0 20 0 3 min
#149 0 0 0.0 0 0 0 0 0 1 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 0 0 4 min
#152 0 0 0.0 0 0 0 0 0 2 min
#153 0 0 0.0 0 0 0 0 0 43 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 1 0.0 0 0 0 160 0 10 min
#156 0 0 0.0 0 0 0 40 30 4 min
#157 0 0 0.0 0 0 0 0 0 7 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 2 0.0 0 0 0 80 60 7 min
#161 0 0 0.0 0 0 0 0 0 7 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 0 0.0 0 0 0 0 0 7 min
#166 0 0 0.0 0 0 0 0 0 5 min
#167 0 3 0.0 0 0 20 200 0 16 min
#168 0 0 0.0 0 0 0 20 0 2 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 0 0.0 0 0 0 60 0 1 min
#171 0 0 0.0 0 0 0 20 0 2 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
#174 0 0 0.0 0 0 0 0 0 1 min
#175 0 0 0.0 0 0 0 0 0 1 min
#176 0 1 0.0 0 0 0 0 0 2 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 7 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 7 min
#184 0 0 0.0 0 0 0 0 0 1 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 0 0.0 0 0 0 0 0 18 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 0 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 0 0.0 0 0 40 80 25 9 min
#193 0 0 0.0 0 0 0 0 0 1 min
#194 0 0 0.0 0 0 0 0 0 0 min
#195 0 0 0.0 0 0 0 0 0 12 min
#196 0 0 0.0 0 0 0 0 0 7 min