stalingrad_warfare_night

Stalingrad Warfare Night

20.03.2025 13:19 | Chimera | OCE2

Result

3:2

Axis wins

Players

199

Total Kills

2,179

Allied Kills

1,034

Axis Kills

1,145

Match Duration

92 min

Kills/Min

23.8

Low Match ELO

Allies 917.0 (all: 659.0)
Ø Match 942.0
Axis 967.0 (all: 674.0)

Player Statistics (199)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1105 55 13 4.23 1 667 540 520 60 67 min
#2 1154 55 19 2.89 0 462 80 1,400 4,948 89 min
#3 937 49 28 1.75 5 397 340 980 30 88 min
#4 918 44 19 2.32 0 338 20 1,140 100 83 min
#5 686 44 21 2.1 0 299 700 740 0 87 min
#6 723 41 29 1.41 0 282 240 1,120 0 87 min
#7 658 40 8 5.0 0 577 540 920 30 87 min
#8 834 40 16 2.5 1 287 220 880 30 68 min
#9 853 39 34 1.15 2 294 960 340 247 88 min
#10 819 36 17 2.12 0 249 1,040 320 0 82 min
#11 678 35 28 1.25 0 248 180 1,180 782 89 min
#12 650 35 20 1.75 1 248 0 1,400 0 91 min
#13 525 35 16 2.19 0 225 840 600 0 91 min
#14 751 34 26 1.31 0 242 240 880 285 73 min
#15 642 33 6 5.5 1 876 20 1,480 0 82 min
#16 830 33 12 2.75 0 255 500 320 315 50 min
#17 859 32 7 4.57 0 585 260 960 2,220 70 min
#18 912 31 18 1.72 0 256 540 1,000 3,997 87 min
#19 786 30 14 2.14 0 228 660 220 260 54 min
#20 786 30 22 1.36 0 221 500 380 150 55 min
#21 751 30 27 1.11 0 215 520 340 160 57 min
#22 664 29 23 1.26 0 209 460 1,000 660 89 min
#23 641 28 23 1.22 2 352 360 1,060 160 89 min
#24 799 27 19 1.42 1 255 460 720 125 72 min
#25 906 27 24 1.12 0 244 580 840 50 89 min
#26 594 27 23 1.17 0 207 220 1,320 451 87 min
#27 776 25 35 0.71 0 210 80 760 30 62 min
#28 713 25 32 0.78 0 187 800 580 656 88 min
#29 585 25 14 1.79 0 162 420 640 75 65 min
#30 637 24 16 1.5 0 180 760 240 0 59 min
#31 1074 23 11 2.09 0 569 140 820 105 54 min
#32 707 23 13 1.77 0 186 960 420 0 80 min
#33 570 23 18 1.28 0 168 500 200 50 47 min
#34 932 23 21 1.1 0 150 260 380 522 44 min
#35 728 22 30 0.73 1 514 740 720 125 88 min
#36 862 22 7 3.14 0 318 480 60 0 32 min
#37 467 22 8 2.75 1 260 280 840 158 70 min
#38 738 22 40 0.55 0 193 260 1,000 918 89 min
#39 718 22 10 2.2 0 155 400 540 120 71 min
#40 905 21 5 4.2 2 378 400 140 0 32 min
#41 843 21 12 1.75 1 256 680 340 0 61 min
#42 850 21 25 0.84 0 237 240 760 30 66 min
#43 781 21 12 1.75 0 216 1,220 320 270 88 min
#44 514 21 20 1.05 0 162 920 420 210 90 min
#45 978 21 22 0.95 0 147 340 500 1,840 53 min
#46 626 19 32 0.59 0 181 300 1,020 75 87 min
#47 590 19 23 0.83 0 147 140 1,220 130 87 min
#48 527 19 20 0.95 0 134 560 300 420 57 min
#49 617 18 31 0.58 1 184 560 740 30 88 min
#50 789 18 23 0.78 1 147 200 1,140 275 91 min
#51 531 18 24 0.75 1 129 300 1,080 0 87 min
#52 423 17 11 1.55 0 152 840 660 0 88 min
#53 1210 17 7 2.43 0 108 180 120 0 20 min
#54 637 16 34 0.47 0 228 720 540 3,060 88 min
#55 667 16 21 0.76 0 123 420 540 435 62 min
#56 16 0 16.0 0 111 0 260 0 16 min
#57 675 16 23 0.7 1 110 500 920 205 90 min
#58 557 16 27 0.59 0 108 60 920 460 65 min
#59 650 15 17 0.88 0 123 580 520 610 70 min
#60 506 15 28 0.54 3 121 640 540 210 87 min
#61 574 15 2 7.5 0 78 40 460 935 33 min
#62 599 14 12 1.17 0 108 560 340 90 53 min
#63 613 14 17 0.82 0 101 480 260 310 51 min
#64 506 14 28 0.5 0 99 280 1,160 710 90 min
#65 475 14 25 0.56 0 84 820 500 730 86 min
#66 819 13 18 0.72 0 95 260 220 135 33 min
#67 510 13 16 0.81 1 90 800 660 90 88 min
#68 634 12 7 1.71 0 174 60 400 50 29 min
#69 666 12 23 0.52 0 110 0 1,100 561 72 min
#70 572 12 12 1.0 0 96 60 520 0 45 min
#71 717 12 6 2.0 0 93 220 100 0 21 min
#72 730 12 2 6.0 0 87 340 80 0 25 min
#73 660 12 18 0.67 0 83 180 740 0 61 min
#74 523 12 30 0.4 0 78 760 420 0 79 min
#75 752 11 6 1.83 0 876 20 1,560 0 88 min
#76 500 11 12 0.92 1 98 140 1,320 2,293 87 min
#77 581 11 19 0.58 2 92 360 320 90 48 min
#78 531 10 37 0.27 0 98 280 740 0 75 min
#79 541 10 12 0.83 0 78 40 600 0 40 min
#80 709 10 19 0.53 0 75 440 260 0 54 min
#81 727 10 16 0.62 0 69 160 280 0 35 min
#82 671 9 15 0.6 0 110 60 600 30 45 min
#83 531 9 12 0.75 0 72 320 240 30 36 min
#84 499 9 13 0.69 0 65 600 420 0 61 min
#85 474 8 7 1.14 0 568 540 900 60 87 min
#86 620 8 5 1.6 0 98 660 80 138 43 min
#87 663 8 6 1.33 0 91 540 20 118 32 min
#88 533 8 22 0.36 0 86 340 420 130 57 min
#89 569 8 13 0.62 0 58 320 260 0 41 min
#90 664 7 22 0.32 0 64 120 1,180 146 90 min
#91 490 7 23 0.3 0 60 1,020 1,120 2,553 88 min
#92 7 5 1.4 0 57 280 0 0 18 min
#93 898 7 5 1.4 0 57 220 140 90 22 min
#94 810 7 8 0.88 0 48 360 160 60 36 min
#95 658 7 10 0.7 0 48 300 80 0 28 min
#96 622 7 7 1.0 0 48 220 160 0 24 min
#97 596 7 21 0.33 0 45 480 380 60 53 min
#98 665 7 7 1.0 0 39 220 80 150 22 min
#99 492 6 6 1.0 0 215 120 280 0 25 min
#100 546 6 3 2.0 0 184 300 1,280 313 32 min
#101 484 6 20 0.3 0 75 180 500 305 46 min
#102 467 6 23 0.26 0 62 740 540 2,710 83 min
#103 606 6 12 0.5 0 53 80 460 20 38 min
#104 556 6 12 0.5 0 48 160 460 0 42 min
#105 6 5 1.2 0 45 180 20 30 15 min
#106 635 6 10 0.6 0 45 60 280 0 25 min
#107 6 0 6.0 0 42 80 0 0 6 min
#108 493 6 8 0.75 0 39 360 80 155 29 min
#109 545 6 12 0.5 0 36 160 200 0 29 min
#110 549 6 12 0.5 0 33 420 440 310 58 min
#111 494 5 18 0.28 0 49 300 200 90 44 min
#112 598 5 22 0.23 0 46 180 340 0 45 min
#113 477 5 9 0.56 1 44 260 320 60 67 min
#114 461 5 6 0.83 0 42 60 200 0 23 min
#115 5 11 0.45 0 39 100 100 145 19 min
#116 645 5 15 0.33 0 36 120 1,220 97 91 min
#117 491 5 25 0.2 1 33 380 600 210 61 min
#118 486 5 4 1.25 0 30 540 60 0 34 min
#119 4 2 2.0 0 33 0 260 0 18 min
#120 811 4 13 0.31 0 30 260 160 230 29 min
#121 576 4 16 0.25 0 27 320 200 20 38 min
#122 1004 3 1 3.0 0 53 280 100 0 21 min
#123 3 4 0.75 0 24 80 100 110 16 min
#124 652 3 7 0.43 0 21 0 360 70 30 min
#125 3 2 1.5 1 15 0 180 0 11 min
#126 736 3 6 0.5 0 15 240 80 0 22 min
#127 622 2 2 1.0 1 480 280 540 0 42 min
#128 2 8 0.25 1 52 120 120 931 17 min
#129 665 2 3 0.67 0 33 480 40 537 29 min
#130 2 3 0.67 1 19 40 180 80 15 min
#131 2 5 0.4 0 18 160 60 50 16 min
#132 386 2 10 0.2 0 15 360 100 0 32 min
#133 2 3 0.67 0 12 0 60 0 9 min
#134 2 4 0.5 0 12 120 60 130 14 min
#135 2 3 0.67 0 12 100 0 0 11 min
#136 2 4 0.5 0 12 100 40 30 12 min
#137 2 2 1.0 0 9 40 80 0 31 min
#138 615 1 7 0.14 1 291 60 500 40 42 min
#139 1 4 0.25 0 26 20 220 30 19 min
#140 560 1 15 0.07 0 16 220 560 0 49 min
#141 487 1 9 0.11 0 9 80 340 0 28 min
#142 1 2 0.5 0 9 80 20 0 14 min
#143 1 3 0.33 0 9 20 80 0 12 min
#144 1 5 0.2 0 6 140 60 0 15 min
#145 1 3 0.33 0 6 120 20 30 10 min
#146 1 5 0.2 0 6 140 0 0 10 min
#147 700 1 20 0.05 0 6 480 380 510 59 min
#148 631 1 11 0.09 0 6 120 220 330 27 min
#149 382 1 10 0.1 0 3 200 60 0 21 min
#150 1 1 1.0 0 3 0 60 90 9 min
#151 0 0 0.0 0 135 120 260 0 0 min
#152 0 0 0.0 0 98 40 580 260 0 min
#153 0 8 0.0 0 10 100 80 0 14 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 0 0.0 1 0 0 60 30 1 min
#156 0 0 0.0 0 0 0 0 0 1 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 0 0.0 0 0 0 0 0 3 min
#159 0 3 0.0 0 0 0 160 0 17 min
#160 0 0 0.0 0 0 0 0 0 0 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 1 min
#164 0 0 0.0 0 0 20 0 0 2 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 40 0 30 4 min
#167 0 0 0.0 0 0 0 0 0 1 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 2 0.0 0 0 0 80 30 7 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
#174 0 0 0.0 0 0 0 0 0 0 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 0 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 0 0.0 0 0 0 0 0 0 min
#181 0 1 0.0 2 0 0 60 0 6 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 1 0.0 0 0 40 20 30 5 min
#185 0 3 0.0 0 0 40 20 0 6 min
#186 0 6 0.0 0 0 0 140 0 18 min
#187 0 0 0.0 0 0 0 0 0 0 min
#188 0 1 0.0 0 0 40 0 0 4 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 0 0.0 0 0 0 20 0 2 min
#191 0 0 0.0 0 0 0 0 0 0 min
#192 0 2 0.0 0 0 0 60 105 7 min
#193 0 1 0.0 0 0 0 20 0 2 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 3 0.0 0 0 80 20 0 9 min
#197 0 0 0.0 0 0 0 0 0 0 min
#198 0 0 0.0 0 0 0 0 0 0 min
#199 0 0 0.0 0 0 0 20 0 11 min