STA_L_1942_Warfare

STA_L_1942_Warfare

07.03.2026 19:56 | TACO | Lvl 50+ | Warfare | EU West

Result

5:0

Axis wins

Players

217

Total Kills

892

Allied Kills

443

Axis Kills

449

Match Duration

40 min

Kills/Min

22.5

High Match ELO

Allies 1226.0 (all: 905.0)
Ø Match 1207.0
Axis 1188.0 (all: 860.0)

Player Statistics (217)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1788 30 7 4.29 0 338 560 120 361 35 min
#2 28 15 1.87 0 224 360 160 230 0 min
#3 1066 26 3 8.67 0 237 140 420 130 30 min
#4 1334 24 9 2.67 1 509 80 480 65 37 min
#5 1191 24 18 1.33 1 468 100 460 20 35 min
#6 1487 23 17 1.35 0 363 0 620 235 35 min
#7 1127 23 4 5.75 0 269 0 720 40 35 min
#8 23 6 3.83 0 242 160 40 0 14 min
#9 1016 23 10 2.3 0 218 180 400 70 37 min
#10 1203 20 12 1.67 0 187 160 440 45 35 min
#11 1202 19 9 2.11 0 182 160 400 15 32 min
#12 1261 18 15 1.2 1 276 100 500 210 35 min
#13 911 17 13 1.31 0 206 220 400 208 38 min
#14 1158 17 11 1.55 0 160 260 320 0 35 min
#15 1125 16 10 1.6 3 371 240 140 5 25 min
#16 1283 15 9 1.67 0 160 200 460 320 38 min
#17 787 15 10 1.5 0 138 160 520 45 35 min
#18 1055 15 19 0.79 0 125 340 40 35 29 min
#19 877 14 7 2.0 0 184 260 300 330 33 min
#20 13 2 6.5 0 170 60 20 15 7 min
#21 901 13 10 1.3 0 118 40 620 613 35 min
#22 874 12 10 1.2 0 590 480 100 510 35 min
#23 1005 12 14 0.86 0 259 280 260 180 35 min
#24 828 12 3 4.0 0 125 40 660 60 35 min
#25 904 12 16 0.75 0 116 100 360 439 33 min
#26 894 11 16 0.69 0 551 400 160 140 35 min
#27 863 11 8 1.38 0 122 140 440 295 33 min
#28 915 11 10 1.1 0 100 320 220 75 33 min
#29 667 11 13 0.85 0 96 60 460 0 32 min
#30 897 10 8 1.25 0 420 240 360 1,812 35 min
#31 750 10 17 0.59 0 86 40 400 0 34 min
#32 1003 9 5 1.8 0 409 40 300 0 21 min
#33 781 9 14 0.64 0 321 40 540 295 35 min
#34 820 9 6 1.5 0 278 560 80 90 34 min
#35 661 9 2 4.5 1 220 260 440 1,883 35 min
#36 9 5 1.8 0 218 140 20 45 12 min
#37 1161 9 11 0.82 1 130 0 580 852 33 min
#38 910 9 8 1.12 0 91 360 300 5 35 min
#39 734 8 6 1.33 0 544 560 100 65 35 min
#40 1168 8 10 0.8 0 442 20 600 145 35 min
#41 8 4 2.0 0 380 40 200 115 14 min
#42 1129 8 12 0.67 0 178 140 480 1,760 35 min
#43 1078 8 6 1.33 0 161 60 620 2,726 37 min
#44 1151 8 8 1.0 0 76 220 20 15 26 min
#45 1102 8 9 0.89 0 67 200 320 1,415 35 min
#46 8 2 4.0 0 62 60 120 0 10 min
#47 646 7 5 1.4 1 119 80 320 75 27 min
#48 724 7 12 0.58 0 109 220 300 105 31 min
#49 7 5 1.4 0 104 0 320 30 19 min
#50 780 7 10 0.7 0 83 100 360 115 28 min
#51 704 7 16 0.44 0 72 460 100 0 37 min
#52 601 7 12 0.58 0 64 120 260 160 25 min
#53 907 6 0 6.0 1 298 580 160 15 35 min
#54 6 5 1.2 0 158 80 160 0 15 min
#55 706 6 16 0.38 0 65 460 140 385 37 min
#56 933 6 16 0.38 0 63 20 520 734 35 min
#57 717 6 19 0.32 0 56 200 360 150 35 min
#58 774 6 10 0.6 2 49 280 140 15 25 min
#59 5 2 2.5 4 144 40 380 25 0 min
#60 817 5 10 0.5 0 119 260 400 60 38 min
#61 992 5 3 1.67 0 73 0 360 50 24 min
#62 5 1 5.0 0 52 220 140 5 18 min
#63 5 1 5.0 0 47 0 180 0 10 min
#64 534 5 12 0.42 0 46 40 460 255 38 min
#65 5 3 1.67 0 46 0 60 0 7 min
#66 759 5 12 0.42 0 44 100 380 60 35 min
#67 684 5 4 1.25 0 38 20 260 0 22 min
#68 994 4 7 0.57 0 224 240 360 1,463 35 min
#69 810 4 5 0.8 0 177 500 140 110 35 min
#70 653 4 11 0.36 0 98 220 100 0 22 min
#71 4 5 0.8 0 84 140 100 5 51 min
#72 756 4 13 0.31 0 46 360 40 30 30 min
#73 4 4 1.0 0 46 0 40 0 6 min
#74 788 4 7 0.57 0 43 60 320 10 25 min
#75 670 4 9 0.44 0 39 300 180 110 30 min
#76 3 2 1.5 0 346 120 120 10 14 min
#77 781 3 2 1.5 0 194 0 640 450 35 min
#78 630 3 3 1.0 0 100 0 700 170 35 min
#79 865 3 4 0.75 1 92 0 700 65 35 min
#80 3 6 0.5 0 83 0 200 10 13 min
#81 3 1 3.0 0 73 60 240 1,002 16 min
#82 3 7 0.43 0 50 180 60 20 16 min
#83 768 3 7 0.43 0 48 360 120 79 34 min
#84 3 5 0.6 0 41 0 200 0 12 min
#85 739 3 6 0.5 0 31 0 660 411 37 min
#86 3 1 3.0 0 29 40 0 0 3 min
#87 509 3 11 0.27 0 24 120 240 150 28 min
#88 3 2 1.5 0 17 60 0 5 6 min
#89 841 2 5 0.4 0 91 0 680 85 35 min
#90 885 2 6 0.33 0 80 120 340 5 27 min
#91 2 10 0.2 0 73 180 60 15 18 min
#92 599 2 1 2.0 0 43 200 480 85 35 min
#93 599 2 14 0.14 0 39 140 460 210 35 min
#94 2 6 0.33 0 34 100 80 55 13 min
#95 700 2 8 0.25 0 32 240 360 40 37 min
#96 473 2 7 0.29 1 31 300 100 275 30 min
#97 2 3 0.67 0 28 0 320 5 18 min
#98 615 2 17 0.12 3 27 200 300 542 35 min
#99 2 3 0.67 0 24 20 100 40 8 min
#100 2 3 0.67 0 22 60 80 10 13 min
#101 2 2 1.0 0 13 20 140 10 11 min
#102 2 1 2.0 0 13 80 120 70 47 min
#103 1 1 1.0 0 160 240 20 195 18 min
#104 659 1 6 0.17 0 126 0 540 1,120 33 min
#105 1 7 0.14 0 93 80 340 865 0 min
#106 1 5 0.2 1 21 100 120 55 15 min
#107 1 1 1.0 0 19 0 400 0 20 min
#108 1 0 1.0 0 19 40 0 0 0 min
#109 569 1 6 0.17 0 15 180 340 120 31 min
#110 1 1 1.0 2 11 20 80 97 6 min
#111 1 1 1.0 0 11 0 100 0 7 min
#112 1 7 0.14 0 11 60 80 0 12 min
#113 754 1 6 0.17 0 11 80 260 151 20 min
#114 1 1 1.0 0 10 40 80 0 10 min
#115 1 2 0.5 0 8 0 60 225 4 min
#116 1 2 0.5 0 8 20 20 0 6 min
#117 1 4 0.25 0 6 40 40 0 11 min
#118 0 0 0.0 0 331 400 400 831 0 min
#119 0 0 0.0 0 296 580 200 130 35 min
#120 0 0 0.0 0 293 580 180 230 35 min
#121 488 0 5 0.0 0 215 100 620 15 35 min
#122 0 0 0.0 0 202 180 1,180 30 0 min
#123 577 0 6 0.0 0 19 140 400 20 29 min
#124 0 3 0.0 0 7 0 180 139 13 min
#125 0 0 0.0 0 4 0 300 10 16 min
#126 0 3 0.0 0 1 60 0 0 6 min
#127 0 1 0.0 0 1 0 20 0 3 min
#128 0 1 0.0 0 1 0 20 150 4 min
#129 0 1 0.0 0 1 0 60 0 6 min
#130 0 0 0.0 0 0 0 0 0 2 min
#131 0 0 0.0 0 0 0 0 0 1 min
#132 0 1 0.0 0 0 0 60 0 4 min
#133 0 0 0.0 0 0 0 0 0 36 min
#134 0 0 0.0 0 0 0 0 0 0 min
#135 0 0 0.0 0 0 0 0 0 0 min
#136 0 0 0.0 0 0 0 80 0 7 min
#137 0 0 0.0 0 0 0 0 0 4 min
#138 0 0 0.0 0 0 0 0 0 3 min
#139 0 0 0.0 0 0 0 60 0 3 min
#140 0 0 0.0 0 0 0 40 0 5 min
#141 0 0 0.0 0 0 0 0 0 0 min
#142 0 0 0.0 0 0 0 0 0 2 min
#143 0 0 0.0 0 0 0 20 0 2 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 0 0 0 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 1 min
#154 0 0 0.0 0 0 0 0 0 4 min
#155 0 0 0.0 0 0 0 0 0 1 min
#156 0 0 0.0 0 0 0 0 0 5 min
#157 0 1 0.0 0 0 0 20 0 4 min
#158 0 0 0.0 0 0 0 0 0 0 min
#159 0 0 0.0 0 0 0 0 0 1 min
#160 0 0 0.0 0 0 0 0 0 36 min
#161 0 0 0.0 0 0 0 0 0 2 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 0 0 36 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 2 min
#167 0 0 0.0 0 0 0 0 0 4 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 1 0 0 20 0 5 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 0 0 37 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 20 0 3 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 60 30 5 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 40 20 150 5 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 0 0 2 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 60 50 5 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 0 0.0 0 0 0 0 0 1 min
#187 0 0 0.0 0 0 0 0 0 1 min
#188 0 2 0.0 0 0 0 0 0 3 min
#189 0 0 0.0 0 0 0 0 0 2 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 35 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 0 0.0 0 0 0 100 0 7 min
#195 0 0 0.0 0 0 0 0 0 0 min
#196 0 0 0.0 0 0 0 100 0 7 min
#197 0 0 0.0 0 0 40 20 0 5 min
#198 0 0 0.0 0 0 0 0 0 0 min
#199 0 0 0.0 0 0 0 100 0 6 min
#200 0 0 0.0 0 0 0 0 0 0 min
#201 0 0 0.0 0 0 0 0 0 1 min
#202 0 0 0.0 0 0 0 0 0 0 min
#203 0 0 0.0 0 0 0 0 0 0 min
#204 0 0 0.0 0 0 0 0 0 0 min
#205 0 0 0.0 0 0 0 0 0 4 min
#206 0 0 0.0 0 0 0 0 0 2 min
#207 0 0 0.0 0 0 0 100 0 6 min
#208 0 1 0.0 0 0 0 60 0 6 min
#209 0 0 0.0 0 0 0 0 0 0 min
#210 0 0 0.0 0 0 0 0 0 2 min
#211 0 0 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 0 min
#214 0 0 0.0 0 0 0 40 0 3 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