stalingrad_warfare

Stalingrad Warfare Day

09.10.2025 12:44 | TACO | Lvl 50+ | Warfare | EU West

Result

5:0

Axis wins

Players

219

Total Kills

1,030

Allied Kills

517

Axis Kills

513

Match Duration

46 min

Kills/Min

22.2

High Match ELO

Allies 1198.0 (all: 819.0)
Ø Match 1249.0
Axis 1300.0 (all: 851.0)
Imbalanced

Player Statistics (219)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1645 40 8 5.0 0 489 320 400 5 42 min
#2 1836 33 21 1.57 0 324 260 340 160 42 min
#3 1201 28 10 2.8 0 507 280 380 370 43 min
#4 1481 27 17 1.59 0 535 320 340 45 42 min
#5 1637 27 15 1.8 0 374 260 420 1,050 42 min
#6 807 21 16 1.31 0 336 140 520 10 43 min
#7 952 21 10 2.1 0 254 520 260 325 45 min
#8 1038 20 5 4.0 0 185 420 120 255 31 min
#9 1338 19 14 1.36 1 392 520 220 360 42 min
#10 936 19 10 1.9 0 251 280 240 110 39 min
#11 747 19 16 1.19 0 204 260 400 0 43 min
#12 723 18 5 3.6 0 176 540 180 0 42 min
#13 1255 17 17 1.0 0 552 520 200 135 42 min
#14 872 17 13 1.31 1 145 180 440 170 42 min
#15 742 16 17 0.94 0 339 420 220 20 42 min
#16 721 16 10 1.6 0 251 400 200 75 36 min
#17 918 16 6 2.67 0 187 140 260 90 42 min
#18 1050 16 15 1.07 1 148 180 500 25 42 min
#19 1410 16 8 2.0 0 141 480 320 105 43 min
#20 15 8 1.88 0 225 20 240 10 19 min
#21 1126 15 12 1.25 0 162 340 260 417 37 min
#22 669 15 14 1.07 0 148 120 580 105 42 min
#23 875 14 1 14.0 3 477 400 200 1,291 33 min
#24 651 14 3 4.67 0 422 0 840 35 41 min
#25 14 5 2.8 1 232 120 220 55 20 min
#26 895 14 13 1.08 0 173 220 200 1,215 31 min
#27 941 13 7 1.86 0 375 140 300 668 25 min
#28 833 13 5 2.6 0 325 180 600 1,175 41 min
#29 659 13 13 1.0 0 187 60 540 45 37 min
#30 576 13 4 3.25 0 185 20 640 5 35 min
#31 719 13 14 0.93 0 163 320 240 320 35 min
#32 856 13 14 0.93 0 162 80 260 60 41 min
#33 754 13 4 3.25 0 121 120 480 15 43 min
#34 865 12 7 1.71 1 462 680 100 20 42 min
#35 824 12 10 1.2 0 325 300 200 30 33 min
#36 1210 12 8 1.5 0 236 340 200 231 32 min
#37 696 12 14 0.86 0 166 360 300 225 45 min
#38 894 11 20 0.55 0 112 140 260 10 35 min
#39 883 11 10 1.1 0 98 0 600 145 39 min
#40 1117 10 12 0.83 0 633 440 120 45 40 min
#41 907 10 13 0.77 0 165 200 300 582 43 min
#42 535 10 16 0.62 0 91 220 460 170 42 min
#43 1146 10 10 1.0 0 84 20 340 155 24 min
#44 861 9 4 2.25 0 269 380 160 233 29 min
#45 9 7 1.29 0 139 120 80 20 18 min
#46 641 9 13 0.69 0 97 280 400 295 39 min
#47 666 9 11 0.82 0 95 140 440 15 37 min
#48 994 9 5 1.8 0 87 200 420 60 35 min
#49 624 9 4 2.25 0 72 340 260 275 32 min
#50 697 8 5 1.6 0 378 320 460 400 42 min
#51 976 8 7 1.14 0 116 60 300 100 23 min
#52 746 7 3 2.33 0 217 580 240 119 42 min
#53 752 7 14 0.5 0 145 420 320 85 42 min
#54 893 7 9 0.78 1 110 400 240 0 39 min
#55 772 7 14 0.5 0 91 380 280 5 40 min
#56 613 7 17 0.41 0 83 200 300 35 37 min
#57 639 7 9 0.78 0 70 320 420 0 42 min
#58 851 6 6 1.0 0 263 400 160 5 32 min
#59 534 6 9 0.67 0 227 320 280 25 40 min
#60 6 2 3.0 0 109 20 240 755 16 min
#61 552 6 13 0.46 0 108 220 500 10 42 min
#62 693 6 12 0.5 0 104 140 320 5 33 min
#63 765 6 2 3.0 0 91 120 260 5 22 min
#64 805 6 4 1.5 0 70 600 240 240 45 min
#65 821 6 7 0.86 1 67 100 620 2,249 40 min
#66 521 6 13 0.46 0 66 320 240 20 39 min
#67 511 6 5 1.2 3 57 180 600 0 45 min
#68 739 6 7 0.86 0 56 80 440 15 30 min
#69 983 5 9 0.56 0 298 320 180 90 29 min
#70 995 5 13 0.38 0 163 120 500 20 37 min
#71 472 5 10 0.5 0 62 280 200 80 34 min
#72 920 5 6 0.83 0 58 20 460 60 26 min
#73 5 7 0.71 0 48 280 0 170 19 min
#74 667 4 7 0.57 0 81 160 320 17 30 min
#75 4 2 2.0 0 58 140 100 145 15 min
#76 631 4 11 0.36 0 48 160 360 150 42 min
#77 653 4 9 0.44 0 43 100 400 5 36 min
#78 4 4 1.0 0 39 120 200 10 18 min
#79 4 2 2.0 0 39 80 20 0 6 min
#80 4 2 2.0 0 25 0 80 0 5 min
#81 525 3 4 0.75 1 384 0 820 10 41 min
#82 681 3 18 0.17 1 293 340 260 960 42 min
#83 778 3 11 0.27 1 110 380 220 1,365 40 min
#84 3 7 0.43 0 85 120 140 10 18 min
#85 904 3 3 1.0 1 71 280 140 336 23 min
#86 823 3 4 0.75 0 56 100 340 0 26 min
#87 660 3 18 0.17 1 55 180 460 484 42 min
#88 708 3 3 1.0 0 38 40 560 250 33 min
#89 3 2 1.5 0 30 100 220 120 17 min
#90 3 2 1.5 0 28 0 100 0 7 min
#91 704 3 8 0.38 0 27 100 180 10 24 min
#92 3 6 0.5 0 25 80 180 40 16 min
#93 3 3 1.0 0 24 80 40 0 11 min
#94 3 2 1.5 0 22 0 60 0 5 min
#95 3 4 0.75 1 21 280 0 0 17 min
#96 2 4 0.5 0 63 0 60 75 7 min
#97 2 3 0.67 0 43 20 240 501 18 min
#98 476 2 11 0.18 0 27 340 380 10 42 min
#99 2 1 2.0 0 25 0 160 75 9 min
#100 2 4 0.5 0 24 60 120 5 14 min
#101 828 2 5 0.4 0 22 140 60 78 23 min
#102 2 0 2.0 0 18 20 120 111 8 min
#103 2 2 1.0 0 18 0 80 0 7 min
#104 2 0 2.0 0 18 20 280 90 16 min
#105 504 2 4 0.5 0 18 100 600 30 36 min
#106 2 0 2.0 0 16 20 0 0 6 min
#107 2 1 2.0 0 15 0 120 35 5 min
#108 2 5 0.4 0 13 120 40 0 15 min
#109 522 1 11 0.09 0 199 0 660 1,600 42 min
#110 1 0 1.0 1 64 20 60 0 5 min
#111 849 1 9 0.11 1 29 140 460 116 44 min
#112 1 1 1.0 0 28 100 180 5 14 min
#113 1 10 0.1 0 28 200 0 0 15 min
#114 1 10 0.1 0 21 140 80 5 18 min
#115 1 0 1.0 0 20 100 0 0 7 min
#116 1 3 0.33 0 19 0 200 101 13 min
#117 1 3 0.33 0 19 20 40 25 5 min
#118 1 6 0.17 0 14 60 180 140 19 min
#119 1 2 0.5 0 12 0 0 0 3 min
#120 1 6 0.17 0 12 40 80 5 8 min
#121 1 4 0.25 0 11 60 100 40 13 min
#122 1 0 1.0 0 9 0 60 5 2 min
#123 1 3 0.33 0 9 40 120 0 9 min
#124 1 1 1.0 0 9 0 0 0 2 min
#125 1 0 1.0 0 9 0 20 75 0 min
#126 1 1 1.0 0 7 0 80 0 5 min
#127 364 1 2 0.5 0 7 540 80 0 34 min
#128 1 7 0.14 1 6 80 80 5 12 min
#129 0 2 0.0 0 153 200 40 25 15 min
#130 656 0 5 0.0 0 153 20 540 25 31 min
#131 0 2 0.0 0 150 140 0 20 9 min
#132 0 0 0.0 0 30 40 60 0 5 min
#133 0 1 0.0 0 20 0 80 50 6 min
#134 0 2 0.0 0 18 0 120 0 7 min
#135 0 0 0.0 0 11 160 0 0 9 min
#136 0 1 0.0 1 4 40 120 30 8 min
#137 704 0 5 0.0 0 4 140 220 0 23 min
#138 0 3 0.0 0 3 40 140 25 11 min
#139 0 0 0.0 0 3 20 180 0 11 min
#140 0 1 0.0 1 3 40 140 0 11 min
#141 0 2 0.0 0 2 0 20 0 2 min
#142 0 2 0.0 0 2 40 20 0 6 min
#143 0 1 0.0 0 1 40 100 0 7 min
#144 0 6 0.0 0 1 0 300 0 17 min
#145 487 0 11 0.0 0 1 220 260 50 33 min
#146 468 0 2 0.0 0 0 160 80 0 37 min
#147 0 0 0.0 0 0 0 20 0 0 min
#148 0 0 0.0 0 0 0 0 0 1 min
#149 0 0 0.0 0 0 0 0 0 0 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 1 min
#155 0 0 0.0 0 0 0 0 0 0 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 2 0.0 0 0 200 80 0 19 min
#160 0 0 0.0 0 0 0 100 0 4 min
#161 0 0 0.0 0 0 0 0 75 0 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 0 0 8 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 2 0.0 0 0 0 60 75 7 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 1 0.0 0 0 120 0 10 7 min
#169 0 0 0.0 0 0 0 0 0 3 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 0 0 42 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 1 0.0 0 0 120 80 201 9 min
#180 0 5 0.0 0 0 80 140 70 18 min
#181 0 0 0.0 0 0 0 80 0 2 min
#182 0 0 0.0 1 0 0 0 0 1 min
#183 0 0 0.0 0 0 0 0 0 1 min
#184 0 0 0.0 0 0 0 40 0 1 min
#185 0 0 0.0 0 0 0 0 0 2 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 1 min
#189 0 0 0.0 0 0 0 0 0 4 min
#190 0 0 0.0 0 0 0 0 0 0 min
#191 0 1 0.0 0 0 20 80 0 5 min
#192 0 0 0.0 0 0 0 0 0 26 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 0 0.0 0 0 0 0 0 0 min
#195 0 0 0.0 0 0 0 80 115 3 min
#196 0 0 0.0 0 0 0 40 15 3 min
#197 0 0 0.0 0 0 0 100 63 4 min
#198 0 0 0.0 0 0 0 80 0 4 min
#199 0 0 0.0 0 0 0 100 66 3 min
#200 0 0 0.0 0 0 0 140 0 8 min
#201 0 0 0.0 0 0 0 80 0 2 min
#202 0 0 0.0 0 0 0 40 0 3 min
#203 0 0 0.0 0 0 0 0 0 1 min
#204 0 0 0.0 0 0 0 40 0 2 min
#205 0 0 0.0 0 0 0 80 0 4 min
#206 0 0 0.0 0 0 0 0 0 0 min
#207 0 1 0.0 0 0 0 60 103 3 min
#208 0 0 0.0 0 0 0 0 0 0 min
#209 0 0 0.0 0 0 0 0 0 0 min
#210 0 1 0.0 0 0 0 0 0 4 min
#211 0 1 0.0 0 0 0 0 0 1 min
#212 0 0 0.0 0 0 0 0 0 0 min
#213 0 0 0.0 0 0 0 0 0 3 min
#214 0 0 0.0 0 0 0 0 0 0 min
#215 0 0 0.0 0 0 0 0 0 0 min
#216 0 0 0.0 0 0 0 0 0 0 min
#217 0 0 0.0 0 0 0 0 0 0 min
#218 0 1 0.0 0 0 40 80 0 7 min
#219 0 0 0.0 0 0 0 0 0 0 min