stalingrad_warfare

Stalingrad Warfare Day

16.11.2025 05:47 | TACO | Lvl 50+ | Warfare | EU West

Result

3:2

Axis wins

Players

326

Total Kills

1,788

Allied Kills

877

Axis Kills

911

Match Duration

90 min

Kills/Min

19.9

Normal Match ELO

Allies 1036.0 (all: 724.0)
Ø Match 1054.0
Axis 1072.0 (all: 759.0)

Player Statistics (326)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1522 80 22 3.64 0 941 320 1,120 30 88 min
#2 1202 51 18 2.83 0 627 1,220 320 204 85 min
#3 918 41 28 1.46 0 538 700 720 5 85 min
#4 842 40 25 1.6 0 618 400 960 255 85 min
#5 811 39 21 1.86 0 479 120 980 10 65 min
#6 1047 32 19 1.68 0 482 680 520 5 80 min
#7 1168 32 16 2.0 0 379 320 1,180 0 85 min
#8 854 32 22 1.45 1 296 740 700 438 87 min
#9 1086 31 22 1.41 1 782 420 280 5 48 min
#10 1176 31 21 1.48 0 624 520 340 95 58 min
#11 814 31 32 0.97 0 344 440 820 20 85 min
#12 1366 29 16 1.81 2 845 120 1,100 3,269 73 min
#13 869 28 16 1.75 0 447 320 760 180 65 min
#14 893 27 17 1.59 0 308 300 540 210 51 min
#15 522 26 8 3.25 0 1,231 420 1,260 15 85 min
#16 829 26 11 2.36 1 462 180 1,300 4,417 85 min
#17 807 26 21 1.24 0 383 1,000 440 395 84 min
#18 738 24 17 1.41 1 455 140 1,020 245 70 min
#19 846 23 26 0.88 0 354 300 440 90 50 min
#20 810 23 10 2.3 2 271 60 1,460 425 84 min
#21 991 23 27 0.85 0 256 480 1,000 3,707 85 min
#22 702 21 7 3.0 0 212 280 1,160 325 81 min
#23 504 20 16 1.25 1 328 440 680 45 81 min
#24 734 20 8 2.5 1 168 200 880 105 61 min
#25 923 20 9 2.22 0 162 0 620 5 37 min
#26 818 19 11 1.73 0 199 420 900 420 80 min
#27 646 18 9 2.0 0 471 340 820 275 65 min
#28 674 18 13 1.38 0 415 840 420 10 85 min
#29 780 18 8 2.25 2 181 300 700 0 56 min
#30 606 17 20 0.85 1 352 540 400 10 59 min
#31 785 17 13 1.31 0 317 960 340 25 72 min
#32 671 17 17 1.0 0 192 320 940 30 75 min
#33 600 17 14 1.21 0 187 700 820 5 85 min
#34 769 17 8 2.12 0 171 20 820 90 48 min
#35 951 16 18 0.89 0 762 1,020 280 502 72 min
#36 827 16 6 2.67 0 209 260 380 50 35 min
#37 609 16 25 0.64 1 140 820 600 1,184 85 min
#38 696 15 14 1.07 0 165 700 580 505 74 min
#39 752 15 16 0.94 2 136 580 540 115 68 min
#40 487 14 20 0.7 1 339 160 1,280 10 85 min
#41 535 14 22 0.64 0 322 600 840 250 82 min
#42 777 14 21 0.67 0 234 240 500 30 47 min
#43 578 14 18 0.78 1 198 60 1,160 30 75 min
#44 823 14 17 0.82 0 198 580 260 50 55 min
#45 815 14 16 0.88 0 183 100 920 872 64 min
#46 890 14 11 1.27 1 143 660 360 60 58 min
#47 718 14 27 0.52 2 139 620 740 10 83 min
#48 992 13 3 4.33 0 372 160 200 90 22 min
#49 688 13 16 0.81 0 170 100 520 0 40 min
#50 880 12 9 1.33 2 374 100 300 0 28 min
#51 826 12 3 4.0 0 220 180 140 0 22 min
#52 909 12 11 1.09 0 216 280 400 270 39 min
#53 795 12 12 1.0 0 132 160 400 169 38 min
#54 676 12 5 2.4 0 106 20 480 45 31 min
#55 873 11 11 1.0 0 378 980 160 357 64 min
#56 496 11 7 1.57 0 192 140 1,480 337 85 min
#57 838 11 2 5.5 1 191 0 520 0 26 min
#58 663 11 18 0.61 0 189 480 360 100 55 min
#59 723 11 12 0.92 0 167 200 120 0 23 min
#60 868 11 19 0.58 0 106 200 180 0 31 min
#61 1041 11 13 0.85 0 105 280 180 235 35 min
#62 1007 10 7 1.43 0 742 400 120 5 31 min
#63 10 7 1.43 0 339 220 80 0 18 min
#64 654 10 11 0.91 0 118 740 820 5 85 min
#65 883 10 9 1.11 0 88 140 360 45 31 min
#66 632 10 18 0.56 0 87 320 1,060 589 85 min
#67 729 9 10 0.9 0 419 260 360 5 37 min
#68 778 9 11 0.82 0 88 340 360 540 40 min
#69 644 9 13 0.69 0 85 360 1,120 1,173 88 min
#70 9 3 3.0 0 81 100 100 80 14 min
#71 8 7 1.14 0 256 140 120 12 18 min
#72 701 8 3 2.67 0 242 220 180 85 22 min
#73 877 8 5 1.6 0 220 20 1,120 175 66 min
#74 465 8 20 0.4 0 133 460 460 330 57 min
#75 503 8 22 0.36 1 94 80 1,160 485 83 min
#76 946 8 10 0.8 1 83 460 240 369 43 min
#77 1053 8 11 0.73 0 81 40 600 222 36 min
#78 8 3 2.67 0 79 120 200 0 20 min
#79 658 8 15 0.53 0 76 300 360 80 50 min
#80 508 7 8 0.88 0 1,215 420 1,280 185 85 min
#81 752 7 5 1.4 0 273 580 100 0 39 min
#82 671 7 5 1.4 0 270 60 540 0 34 min
#83 948 7 5 1.4 0 262 180 160 65 22 min
#84 885 7 9 0.78 0 213 200 100 20 21 min
#85 586 7 16 0.44 0 101 40 500 50 38 min
#86 614 7 14 0.5 0 84 380 140 0 35 min
#87 7 7 1.0 0 82 160 140 10 19 min
#88 7 2 3.5 0 81 0 200 5 12 min
#89 677 7 17 0.41 0 64 440 480 405 59 min
#90 712 7 10 0.7 0 61 20 280 455 22 min
#91 841 7 5 1.4 0 57 200 140 10 25 min
#92 436 6 4 1.5 1 246 120 1,460 205 85 min
#93 517 6 6 1.0 0 120 140 100 0 22 min
#94 570 6 23 0.26 0 75 340 520 240 56 min
#95 557 6 8 0.75 0 66 320 420 15 43 min
#96 690 6 3 2.0 0 62 0 760 60 41 min
#97 565 6 9 0.67 0 60 420 400 10 56 min
#98 6 8 0.75 0 50 0 300 0 18 min
#99 577 5 10 0.5 1 254 60 1,520 405 88 min
#100 692 5 9 0.56 0 201 300 200 328 32 min
#101 606 5 5 1.0 4 129 320 360 15 53 min
#102 798 5 1 5.0 0 92 80 380 10 26 min
#103 614 5 18 0.28 7 64 240 640 140 59 min
#104 718 5 11 0.45 0 55 60 300 0 26 min
#105 796 5 6 0.83 0 55 0 640 120 39 min
#106 512 5 12 0.42 0 43 280 340 300 40 min
#107 591 5 7 0.71 0 42 240 360 305 37 min
#108 5 1 5.0 0 27 0 80 310 7 min
#109 454 4 18 0.22 2 230 440 940 905 82 min
#110 450 4 11 0.36 0 140 660 520 35 70 min
#111 663 4 4 1.0 0 132 60 300 0 21 min
#112 589 4 7 0.57 0 99 180 400 1,315 40 min
#113 605 4 15 0.27 0 87 200 180 95 27 min
#114 4 6 0.67 0 85 80 200 90 19 min
#115 871 4 3 1.33 0 68 20 380 85 29 min
#116 722 4 6 0.67 0 55 120 400 245 30 min
#117 842 4 5 0.8 0 45 240 340 250 33 min
#118 466 4 11 0.36 0 44 160 320 0 45 min
#119 640 4 9 0.44 0 43 40 280 0 23 min
#120 4 1 4.0 0 38 180 60 0 14 min
#121 705 4 3 1.33 0 37 20 320 15 27 min
#122 4 2 2.0 0 35 40 100 0 8 min
#123 715 4 10 0.4 0 30 220 320 0 39 min
#124 592 3 10 0.3 2 215 180 1,160 90 81 min
#125 907 3 5 0.6 0 182 160 160 10 22 min
#126 3 7 0.43 0 86 160 20 5 14 min
#127 3 2 1.5 0 76 40 20 5 6 min
#128 827 3 8 0.38 0 64 80 360 265 29 min
#129 741 3 7 0.43 1 56 80 520 1,619 38 min
#130 464 3 15 0.2 0 56 640 220 135 55 min
#131 578 3 10 0.3 0 34 20 400 175 26 min
#132 3 4 0.75 0 34 140 160 0 20 min
#133 3 4 0.75 0 33 0 280 15 19 min
#134 3 4 0.75 0 32 40 40 0 11 min
#135 725 3 11 0.27 0 30 220 360 35 36 min
#136 3 3 1.0 0 28 0 200 10 17 min
#137 3 3 1.0 0 26 60 60 75 9 min
#138 3 3 1.0 0 19 0 200 0 15 min
#139 556 3 5 0.6 0 15 120 340 5 31 min
#140 476 2 14 0.14 1 129 240 520 140 53 min
#141 846 2 3 0.67 0 96 40 320 1,106 24 min
#142 2 5 0.4 0 85 220 80 0 19 min
#143 484 2 7 0.29 0 74 460 320 150 48 min
#144 2 0 2.0 0 70 40 20 5 4 min
#145 2 2 1.0 0 34 20 100 0 13 min
#146 2 4 0.5 0 32 20 100 5 10 min
#147 601 2 4 0.5 0 28 100 140 0 27 min
#148 2 3 0.67 0 22 0 240 10 18 min
#149 2 2 1.0 0 21 40 0 0 5 min
#150 2 1 2.0 0 21 20 20 0 8 min
#151 2 2 1.0 0 21 0 120 75 7 min
#152 625 2 6 0.33 0 20 40 340 5 23 min
#153 2 3 0.67 0 20 40 40 0 11 min
#154 2 3 0.67 0 20 0 120 0 10 min
#155 2 4 0.5 0 20 80 20 60 10 min
#156 2 0 2.0 0 17 0 20 0 2 min
#157 2 1 2.0 0 17 40 140 0 10 min
#158 2 1 2.0 0 14 40 60 0 8 min
#159 2 1 2.0 0 13 40 200 0 11 min
#160 1 5 0.2 0 212 40 100 20 10 min
#161 1 1 1.0 0 61 0 240 60 11 min
#162 547 1 2 0.5 0 31 160 600 15 39 min
#163 626 1 2 0.5 0 26 40 560 0 34 min
#164 1 1 1.0 0 14 20 100 0 9 min
#165 1 1 1.0 0 13 60 0 5 4 min
#166 1 6 0.17 0 12 160 100 135 15 min
#167 1 3 0.33 5 12 100 120 105 18 min
#168 1 0 1.0 1 12 0 140 105 13 min
#169 1 1 1.0 0 11 0 60 0 4 min
#170 1 1 1.0 0 10 0 40 0 4 min
#171 1 1 1.0 0 10 40 20 0 6 min
#172 1 6 0.17 0 10 40 260 5 19 min
#173 1 0 1.0 0 9 20 20 0 3 min
#174 1 4 0.25 0 9 60 140 0 17 min
#175 1 1 1.0 0 8 20 20 5 4 min
#176 1 1 1.0 0 7 60 20 0 6 min
#177 1 2 0.5 0 7 0 80 0 6 min
#178 1 3 0.33 0 7 0 100 0 9 min
#179 452 0 13 0.0 0 256 300 640 406 54 min
#180 0 0 0.0 0 20 0 120 445 8 min
#181 0 2 0.0 0 14 20 20 5 5 min
#182 0 3 0.0 0 8 200 60 80 16 min
#183 0 0 0.0 0 8 0 60 0 11 min
#184 0 0 0.0 0 6 0 0 0 2 min
#185 0 1 0.0 0 5 40 0 0 5 min
#186 0 3 0.0 1 4 60 120 75 17 min
#187 0 2 0.0 0 4 80 60 0 9 min
#188 0 5 0.0 0 3 20 180 30 14 min
#189 0 3 0.0 0 2 20 200 0 20 min
#190 651 0 5 0.0 5 2 100 300 0 27 min
#191 0 0 0.0 0 2 20 0 0 3 min
#192 0 4 0.0 0 2 100 20 0 11 min
#193 0 1 0.0 0 2 20 140 0 12 min
#194 0 0 0.0 0 2 20 100 10 7 min
#195 0 4 0.0 0 2 20 80 0 9 min
#196 0 0 0.0 0 2 0 0 0 0 min
#197 0 4 0.0 1 1 40 60 0 8 min
#198 0 0 0.0 0 1 60 20 0 6 min
#199 0 0 0.0 0 1 0 0 0 1 min
#200 0 0 0.0 0 1 0 40 0 4 min
#201 0 0 0.0 0 1 0 40 0 4 min
#202 0 0 0.0 0 0 0 20 0 2 min
#203 0 0 0.0 0 0 0 0 0 0 min
#204 0 1 0.0 0 0 0 0 0 2 min
#205 0 0 0.0 0 0 0 0 0 0 min
#206 0 4 0.0 0 0 80 100 0 18 min
#207 0 0 0.0 0 0 0 0 0 0 min
#208 0 0 0.0 0 0 0 0 0 1 min
#209 0 0 0.0 0 0 20 20 0 3 min
#210 0 0 0.0 0 0 0 0 0 0 min
#211 0 0 0.0 0 0 0 0 0 0 min
#212 0 0 0.0 0 0 0 0 0 0 min
#213 0 0 0.0 0 0 0 0 0 1 min
#214 0 0 0.0 0 0 0 0 0 0 min
#215 0 2 0.0 0 0 0 0 0 4 min
#216 0 0 0.0 0 0 0 0 0 1 min
#217 0 0 0.0 0 0 0 0 0 0 min
#218 0 0 0.0 0 0 0 0 0 0 min
#219 0 0 0.0 0 0 0 40 65 1 min
#220 0 0 0.0 0 0 0 0 0 1 min
#221 0 0 0.0 0 0 0 0 0 1 min
#222 0 0 0.0 0 0 0 0 0 0 min
#223 0 0 0.0 0 0 0 20 0 2 min
#224 0 1 0.0 0 0 0 0 0 4 min
#225 0 0 0.0 0 0 0 0 0 0 min
#226 0 0 0.0 0 0 0 0 0 0 min
#227 0 0 0.0 0 0 0 0 0 0 min
#228 0 0 0.0 0 0 0 0 0 0 min
#229 0 0 0.0 0 0 0 0 0 1 min
#230 0 0 0.0 0 0 0 20 0 0 min
#231 0 0 0.0 0 0 0 0 0 0 min
#232 0 0 0.0 0 0 20 0 0 2 min
#233 0 0 0.0 0 0 0 0 0 0 min
#234 0 0 0.0 0 0 0 0 0 0 min
#235 0 0 0.0 0 0 0 0 0 0 min
#236 0 0 0.0 0 0 0 60 0 2 min
#237 0 2 0.0 0 0 0 20 0 2 min
#238 0 0 0.0 0 0 0 0 0 1 min
#239 0 1 0.0 0 0 0 0 0 1 min
#240 0 1 0.0 0 0 0 100 0 10 min
#241 0 0 0.0 0 0 0 20 0 0 min
#242 0 1 0.0 0 0 0 0 0 3 min
#243 0 0 0.0 0 0 0 0 0 1 min
#244 0 0 0.0 0 0 0 0 0 0 min
#245 0 2 0.0 0 0 0 20 0 3 min
#246 0 0 0.0 0 0 0 40 0 1 min
#247 0 0 0.0 0 0 0 0 0 2 min
#248 0 0 0.0 0 0 0 20 0 0 min
#249 0 1 0.0 0 0 0 40 0 8 min
#250 0 0 0.0 0 0 0 0 0 1 min
#251 0 0 0.0 0 0 0 0 0 1 min
#252 0 0 0.0 0 0 0 0 0 1 min
#253 0 0 0.0 0 0 0 0 0 0 min
#254 0 2 0.0 0 0 0 20 0 5 min
#255 0 0 0.0 0 0 0 100 0 8 min
#256 0 0 0.0 0 0 0 0 0 1 min
#257 0 0 0.0 0 0 0 0 0 0 min
#258 0 0 0.0 0 0 0 0 0 1 min
#259 0 0 0.0 0 0 0 0 0 1 min
#260 0 0 0.0 0 0 0 0 0 0 min
#261 0 5 0.0 0 0 80 40 0 10 min
#262 0 0 0.0 0 0 0 40 0 3 min
#263 0 0 0.0 0 0 0 0 0 1 min
#264 0 0 0.0 0 0 0 0 0 0 min
#265 0 0 0.0 0 0 0 0 0 1 min
#266 0 3 0.0 0 0 0 180 0 20 min
#267 0 0 0.0 0 0 0 40 31 3 min
#268 0 0 0.0 0 0 0 0 0 0 min
#269 0 1 0.0 0 0 0 0 0 2 min
#270 0 0 0.0 0 0 0 0 0 0 min
#271 0 2 0.0 3 0 0 20 0 5 min
#272 0 0 0.0 0 0 0 0 0 0 min
#273 0 0 0.0 0 0 0 80 0 5 min
#274 0 0 0.0 0 0 0 60 0 3 min
#275 0 0 0.0 0 0 0 0 0 0 min
#276 0 2 0.0 0 0 20 60 0 6 min
#277 0 0 0.0 0 0 0 0 0 2 min
#278 0 3 0.0 0 0 0 120 0 10 min
#279 0 0 0.0 0 0 0 0 0 2 min
#280 0 0 0.0 0 0 0 0 0 0 min
#281 0 0 0.0 0 0 0 0 0 0 min
#282 0 0 0.0 0 0 0 0 0 2 min
#283 0 0 0.0 0 0 0 0 0 5 min
#284 0 0 0.0 0 0 0 0 0 0 min
#285 0 0 0.0 1 0 0 20 0 3 min
#286 0 0 0.0 0 0 0 0 0 0 min
#287 0 0 0.0 0 0 0 0 0 0 min
#288 0 0 0.0 0 0 0 100 0 6 min
#289 0 4 0.0 0 0 0 140 0 15 min
#290 0 0 0.0 0 0 0 0 0 1 min
#291 0 0 0.0 0 0 0 0 0 0 min
#292 0 0 0.0 0 0 0 0 0 1 min
#293 0 0 0.0 0 0 0 0 0 1 min
#294 0 4 0.0 0 0 0 120 75 10 min
#295 0 0 0.0 0 0 0 0 0 0 min
#296 0 0 0.0 0 0 0 0 0 0 min
#297 0 1 0.0 0 0 20 0 0 3 min
#298 0 1 0.0 0 0 0 60 5 6 min
#299 0 0 0.0 0 0 0 20 0 0 min
#300 0 0 0.0 0 0 0 0 0 0 min
#301 0 1 0.0 0 0 0 60 0 4 min
#302 0 0 0.0 0 0 0 40 0 4 min
#303 0 0 0.0 0 0 0 0 0 0 min
#304 0 0 0.0 0 0 0 0 0 0 min
#305 0 0 0.0 0 0 0 0 0 0 min
#306 0 4 0.0 0 0 0 100 0 13 min
#307 0 1 0.0 2 0 40 80 0 14 min
#308 0 0 0.0 0 0 0 0 0 0 min
#309 0 0 0.0 0 0 0 0 0 0 min
#310 0 0 0.0 0 0 0 0 0 0 min
#311 0 0 0.0 0 0 0 0 0 1 min
#312 0 0 0.0 0 0 0 0 0 1 min
#313 0 0 0.0 0 0 0 0 0 0 min
#314 0 0 0.0 0 0 0 140 0 6 min
#315 0 0 0.0 0 0 0 0 0 2 min
#316 0 0 0.0 1 0 0 100 0 4 min
#317 0 0 0.0 0 0 0 0 0 0 min
#318 0 0 0.0 0 0 0 0 0 1 min
#319 0 0 0.0 0 0 0 0 0 0 min
#320 0 0 0.0 0 0 0 0 0 1 min
#321 0 0 0.0 0 0 0 0 0 0 min
#322 0 0 0.0 0 0 0 0 0 2 min
#323 0 0 0.0 0 0 0 0 0 1 min
#324 0 0 0.0 0 0 0 0 0 0 min
#325 0 0 0.0 0 0 0 0 0 0 min
#326 0 0 0.0 0 0 0 0 0 0 min