stalingrad_warfare_night

Stalingrad Warfare Night

02.07.2025 13:06 | Chimera | OCE2

Result

4:1

Axis wins

Players

197

Total Kills

2,167

Allied Kills

987

Axis Kills

1,180

Match Duration

92 min

Kills/Min

23.6

Normal Match ELO

Allies 1137.0 (all: 750.0)
Ø Match 1128.0
Axis 1119.0 (all: 758.0)

Player Statistics (197)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1612 66 25 2.64 0 1,321 360 1,160 2,846 87 min
#2 1266 65 36 1.81 0 635 200 960 750 77 min
#3 906 63 19 3.32 0 623 640 880 215 87 min
#4 1155 60 22 2.73 0 719 20 1,520 1,030 87 min
#5 900 56 0 56.0 7 426 0 1,740 50 88 min
#6 1149 54 37 1.46 1 863 520 920 2,607 87 min
#7 1139 52 39 1.33 0 931 1,180 180 895 88 min
#8 900 50 27 1.85 0 461 0 1,480 165 87 min
#9 971 45 9 5.0 0 1,041 100 1,520 35 87 min
#10 1357 44 22 2.0 0 733 560 640 285 75 min
#11 784 42 38 1.11 0 558 800 340 35 81 min
#12 652 42 13 3.23 0 504 20 1,540 40 89 min
#13 745 42 26 1.62 0 389 660 800 55 87 min
#14 791 39 28 1.39 0 506 1,260 120 245 87 min
#15 1338 37 17 2.18 0 379 140 580 150 48 min
#16 913 36 36 1.0 0 363 740 460 698 81 min
#17 862 34 31 1.1 0 827 240 1,120 140 88 min
#18 844 34 11 3.09 2 696 380 1,200 275 88 min
#19 1147 33 28 1.18 0 880 860 100 675 62 min
#20 1084 32 14 2.29 0 474 740 140 125 65 min
#21 723 32 20 1.6 0 430 0 1,220 75 88 min
#22 883 31 25 1.24 0 722 340 1,080 10 86 min
#23 1241 31 29 1.07 0 293 80 1,220 180 80 min
#24 675 30 31 0.97 0 744 1,360 920 455 88 min
#25 586 30 34 0.88 0 587 180 1,200 40 87 min
#26 606 30 3 10.0 1 439 540 900 35 87 min
#27 738 30 37 0.81 0 374 1,020 400 1,045 87 min
#28 820 28 36 0.78 0 544 1,080 340 110 88 min
#29 814 28 19 1.47 1 278 60 1,080 3,010 88 min
#30 733 26 18 1.44 0 729 40 700 740 55 min
#31 628 26 40 0.65 0 283 960 420 5 87 min
#32 865 24 34 0.71 0 358 40 980 165 67 min
#33 897 23 28 0.82 0 405 740 280 3,535 75 min
#34 1186 23 4 5.75 0 385 200 740 90 54 min
#35 745 23 37 0.62 0 331 1,020 260 1,725 88 min
#36 1194 23 11 2.09 1 331 620 80 15 45 min
#37 741 22 29 0.76 0 427 400 960 435 83 min
#38 1077 21 34 0.62 0 383 680 340 100 75 min
#39 773 21 19 1.11 0 324 80 1,420 1,940 90 min
#40 1036 21 7 3.0 0 278 0 800 35 46 min
#41 886 20 14 1.43 0 168 180 400 95 39 min
#42 787 19 13 1.46 3 1,260 360 440 50 51 min
#43 733 19 37 0.51 1 343 0 1,320 130 87 min
#44 703 19 22 0.86 0 193 20 1,500 637 88 min
#45 700 19 7 2.71 0 171 340 420 185 60 min
#46 452 19 8 2.38 2 163 20 1,520 35 87 min
#47 647 18 27 0.67 0 178 520 880 2,825 87 min
#48 849 17 19 0.89 0 298 200 1,060 516 83 min
#49 756 17 12 1.42 0 146 60 540 10 38 min
#50 517 16 6 2.67 0 1,197 660 940 35 87 min
#51 637 16 15 1.07 0 360 320 960 30 75 min
#52 956 16 7 2.29 0 190 340 240 95 36 min
#53 749 16 28 0.57 1 160 120 1,320 295 87 min
#54 648 16 21 0.76 0 154 500 700 935 76 min
#55 819 15 12 1.25 0 189 320 80 0 27 min
#56 873 15 4 3.75 0 182 140 620 160 54 min
#57 763 14 39 0.36 1 1,192 1,480 880 1,080 87 min
#58 659 14 17 0.82 0 167 420 880 1,081 79 min
#59 731 14 6 2.33 0 165 0 1,620 3,837 87 min
#60 909 14 8 1.75 0 150 200 340 0 33 min
#61 901 14 7 2.0 0 147 40 580 25 38 min
#62 656 13 6 2.17 0 1,174 660 920 15 87 min
#63 632 13 9 1.44 2 166 40 820 3,429 51 min
#64 13 3 4.33 0 123 0 140 0 10 min
#65 680 12 23 0.52 2 159 700 340 225 68 min
#66 603 11 21 0.52 0 136 400 940 100 84 min
#67 793 10 6 1.67 0 261 140 500 125 39 min
#68 884 10 9 1.11 0 153 280 100 295 29 min
#69 771 10 26 0.38 2 149 740 260 155 74 min
#70 544 10 15 0.67 0 131 660 280 860 62 min
#71 587 9 24 0.38 0 237 140 1,260 737 88 min
#72 503 9 17 0.53 0 178 860 660 489 87 min
#73 784 9 16 0.56 0 100 140 360 60 36 min
#74 752 9 14 0.64 0 72 480 1,000 175 89 min
#75 547 8 14 0.57 0 177 340 580 75 60 min
#76 630 8 22 0.36 0 122 0 1,380 1,572 84 min
#77 875 8 6 1.33 2 77 220 60 90 20 min
#78 349 8 5 1.6 0 76 340 400 45 47 min
#79 559 7 14 0.5 3 266 340 580 20 62 min
#80 646 7 17 0.41 0 151 580 440 90 67 min
#81 957 7 9 0.78 0 104 320 160 40 32 min
#82 859 7 9 0.78 1 90 220 200 0 30 min
#83 478 7 6 1.17 0 86 340 60 5 28 min
#84 682 7 15 0.47 0 68 400 200 540 44 min
#85 745 6 19 0.32 0 223 160 380 10 44 min
#86 465 6 12 0.5 0 70 1,200 340 10 87 min
#87 544 6 25 0.24 0 66 240 500 15 49 min
#88 549 5 24 0.21 0 355 620 580 928 75 min
#89 611 5 31 0.16 2 170 740 540 398 88 min
#90 742 5 10 0.5 0 117 200 120 75 31 min
#91 610 5 12 0.42 3 112 400 580 169 62 min
#92 752 5 20 0.25 0 102 540 420 190 72 min
#93 893 5 10 0.5 0 101 180 20 80 30 min
#94 5 5 1.0 0 94 160 0 10 14 min
#95 465 5 20 0.25 0 63 480 860 475 87 min
#96 611 5 7 0.71 0 54 220 60 5 20 min
#97 550 5 7 0.71 0 52 0 380 0 37 min
#98 596 5 6 0.83 0 49 60 580 20 37 min
#99 555 5 18 0.28 0 49 120 560 20 43 min
#100 4 7 0.57 0 406 420 940 170 0 min
#101 574 4 6 0.67 3 112 200 500 30 46 min
#102 575 4 19 0.21 0 99 0 520 40 38 min
#103 502 4 27 0.15 0 53 600 560 180 75 min
#104 809 4 10 0.4 0 39 260 140 95 27 min
#105 705 3 9 0.33 0 191 80 560 155 43 min
#106 3 0 3.0 0 117 100 140 0 14 min
#107 625 3 5 0.6 0 89 180 340 1,640 35 min
#108 606 3 1 3.0 0 73 180 180 0 20 min
#109 562 3 12 0.25 0 43 220 280 15 37 min
#110 3 3 1.0 0 37 80 40 0 14 min
#111 673 3 11 0.27 0 33 0 380 25 26 min
#112 820 3 7 0.43 0 33 0 340 20 36 min
#113 3 5 0.6 0 24 0 240 75 19 min
#114 684 2 8 0.25 0 145 60 500 30 38 min
#115 460 2 8 0.25 0 79 420 60 5 36 min
#116 558 2 5 0.4 0 34 0 300 0 20 min
#117 2 5 0.4 1 23 80 60 5 12 min
#118 614 2 12 0.17 0 22 0 320 0 26 min
#119 786 2 8 0.25 0 18 300 100 230 25 min
#120 671 2 6 0.33 0 18 260 0 0 20 min
#121 603 2 11 0.18 0 18 80 460 35 35 min
#122 662 2 4 0.5 0 17 120 240 311 24 min
#123 482 2 5 0.4 0 16 60 420 5 37 min
#124 528 1 11 0.09 0 258 1,340 120 462 87 min
#125 1 2 0.5 0 119 0 100 0 10 min
#126 488 1 27 0.04 0 73 680 320 105 71 min
#127 1 8 0.12 0 62 80 120 75 19 min
#128 530 1 11 0.09 2 22 460 40 5 32 min
#129 494 1 5 0.2 1 15 0 340 70 22 min
#130 597 1 5 0.2 0 14 0 480 225 27 min
#131 1 6 0.17 0 12 100 80 15 18 min
#132 1 4 0.25 0 11 20 60 75 7 min
#133 1 3 0.33 0 10 60 40 5 8 min
#134 1 6 0.17 0 10 60 160 155 17 min
#135 1 1 1.0 0 10 20 0 0 3 min
#136 452 1 4 0.25 0 10 240 200 244 27 min
#137 1 1 1.0 0 10 180 0 0 11 min
#138 0 0 0.0 0 967 480 600 5 0 min
#139 0 0 0.0 0 125 60 160 0 0 min
#140 0 0 0.0 0 56 60 80 0 13 min
#141 0 0 0.0 0 40 20 80 0 10 min
#142 0 2 0.0 0 30 0 80 0 7 min
#143 0 2 0.0 0 10 0 160 75 11 min
#144 0 1 0.0 0 8 40 60 0 5 min
#145 555 0 2 0.0 0 6 0 500 100 28 min
#146 0 0 0.0 0 5 0 0 200 1 min
#147 0 2 0.0 0 4 20 100 5 11 min
#148 0 4 0.0 0 4 80 160 85 15 min
#149 0 3 0.0 0 3 80 20 5 10 min
#150 0 3 0.0 0 3 20 120 0 13 min
#151 0 1 0.0 0 2 0 20 0 5 min
#152 0 1 0.0 0 1 20 0 0 7 min
#153 0 0 0.0 0 0 0 20 0 2 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 0 0.0 0 0 0 0 0 1 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 0 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 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 0 min
#164 0 0 0.0 0 0 0 0 0 1 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 1 min
#167 0 0 0.0 0 0 0 0 0 87 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 0 0 6 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 2 0.0 0 0 0 80 0 18 min
#175 0 6 0.0 0 0 0 80 45 8 min
#176 0 0 0.0 0 0 0 0 0 1 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 0 0.0 0 0 0 0 0 1 min
#179 0 0 0.0 0 0 0 60 0 5 min
#180 0 0 0.0 0 0 0 0 0 0 min
#181 0 0 0.0 0 0 0 0 0 2 min
#182 0 4 0.0 1 0 0 280 0 20 min
#183 0 0 0.0 0 0 0 20 0 5 min
#184 0 1 0.0 0 0 0 0 0 1 min
#185 0 1 0.0 0 0 20 0 0 3 min
#186 0 0 0.0 0 0 0 0 0 0 min
#187 0 0 0.0 0 0 0 0 0 1 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 2 0.0 0 0 0 100 0 7 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 0 0 0 2 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 1 0.0 0 0 20 0 10 4 min
#195 0 0 0.0 0 0 0 0 0 0 min
#196 0 0 0.0 0 0 0 0 0 3 min
#197 427 0 7 0.0 0 0 120 180 0 21 min