STA_L_1942_Warfare

STA_L_1942_Warfare

02.04.2026 16:33 | Oktogon_3

Result

5:0

Axis wins

Players

215

Total Kills

1,122

Allied Kills

487

Axis Kills

635

Match Duration

51 min

Kills/Min

22.0

High Match ELO

Allies 1074.0 (all: 795.0)
Ø Match 1291.0
Axis 1507.0 (all: 923.0)
Highly imbalanced

Player Statistics (215)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1940 76 11 6.91 0 960 360 340 375 40 min
#2 2130 62 6 10.33 0 717 340 300 130 34 min
#3 1537 35 12 2.92 0 601 660 60 65 41 min
#4 1066 31 17 1.82 0 283 320 400 35 49 min
#5 1075 28 4 7.0 0 266 180 580 125 41 min
#6 1052 27 19 1.42 0 274 380 280 290 47 min
#7 1335 26 9 2.89 0 345 300 280 25 32 min
#8 1060 26 22 1.18 0 269 220 420 568 46 min
#9 1984 25 14 1.79 0 305 100 420 269 33 min
#10 843 25 11 2.27 0 276 620 200 533 46 min
#11 865 25 13 1.92 0 200 380 400 365 49 min
#12 1049 24 13 1.85 0 281 340 220 40 37 min
#13 1096 23 16 1.44 0 414 220 280 75 34 min
#14 991 22 10 2.2 0 259 40 740 650 48 min
#15 1132 22 11 2.0 0 179 300 420 208 41 min
#16 1383 21 3 7.0 0 445 80 860 100 46 min
#17 826 20 10 2.0 0 359 440 300 85 44 min
#18 898 20 2 10.0 0 229 120 700 3,741 46 min
#19 1054 19 11 1.73 0 223 160 500 465 46 min
#20 837 18 2 9.0 0 451 80 880 75 46 min
#21 1135 18 9 2.0 1 216 160 200 5 24 min
#22 1238 16 8 2.0 0 1,369 600 160 569 46 min
#23 1727 16 18 0.89 0 290 220 280 390 32 min
#24 851 15 3 5.0 1 411 140 560 10 39 min
#25 778 15 13 1.15 2 321 400 440 781 46 min
#26 1037 14 19 0.74 0 144 260 400 607 46 min
#27 916 14 5 2.8 0 118 80 500 135 35 min
#28 719 13 10 1.3 0 228 260 420 340 46 min
#29 844 12 22 0.55 0 182 140 560 713 45 min
#30 788 12 9 1.33 0 170 200 520 380 42 min
#31 728 12 10 1.2 0 105 120 560 10 43 min
#32 687 12 14 0.86 0 101 160 580 66 45 min
#33 860 12 4 3.0 1 99 380 200 160 34 min
#34 779 11 3 3.67 0 213 180 480 35 36 min
#35 898 10 2 5.0 0 352 60 260 5 22 min
#36 1302 10 3 3.33 0 230 200 300 1,681 38 min
#37 711 9 3 3.0 0 463 880 40 195 46 min
#38 639 9 22 0.41 0 181 320 440 335 46 min
#39 669 9 8 1.12 0 132 200 280 15 30 min
#40 806 9 4 2.25 0 72 60 400 40 25 min
#41 795 9 11 0.82 0 67 140 120 75 20 min
#42 718 8 11 0.73 0 406 380 420 285 46 min
#43 714 8 8 1.0 0 232 640 60 166 46 min
#44 744 8 14 0.57 0 151 140 480 200 46 min
#45 8 10 0.8 0 123 160 80 15 18 min
#46 739 8 10 0.8 0 58 200 380 85 46 min
#47 661 7 9 0.78 0 176 40 340 1,605 46 min
#48 806 7 14 0.5 0 77 620 200 1,192 46 min
#49 549 7 12 0.58 0 75 60 700 10 46 min
#50 657 7 16 0.44 0 72 20 560 1,408 43 min
#51 680 7 6 1.17 0 65 180 380 20 32 min
#52 563 7 10 0.7 0 57 20 760 110 46 min
#53 723 6 5 1.2 1 442 500 320 5 46 min
#54 824 6 2 3.0 2 369 160 640 130 45 min
#55 1068 6 15 0.4 1 141 640 140 122 46 min
#56 603 6 19 0.32 0 110 240 400 405 43 min
#57 584 6 24 0.25 0 76 120 500 190 46 min
#58 649 6 12 0.5 0 70 40 760 880 46 min
#59 760 6 9 0.67 0 65 100 700 505 46 min
#60 6 3 2.0 0 54 0 200 75 13 min
#61 795 5 13 0.38 1 181 100 380 155 46 min
#62 705 5 17 0.29 1 123 160 460 115 42 min
#63 592 5 9 0.56 0 106 120 640 0 44 min
#64 5 6 0.83 0 56 160 100 75 15 min
#65 591 5 9 0.56 0 55 120 580 315 47 min
#66 779 5 18 0.28 0 48 60 660 0 46 min
#67 746 5 4 1.25 0 44 100 360 15 26 min
#68 750 5 9 0.56 0 41 180 420 10 37 min
#69 742 4 13 0.31 0 746 660 100 711 49 min
#70 954 4 16 0.25 0 221 100 580 810 46 min
#71 4 0 4.0 0 73 260 20 0 17 min
#72 4 2 2.0 0 52 20 40 75 6 min
#73 4 3 1.33 0 48 120 140 5 15 min
#74 679 4 12 0.33 0 46 380 60 10 31 min
#75 4 3 1.33 1 43 0 60 5 8 min
#76 4 6 0.67 0 34 0 80 0 7 min
#77 4 6 0.67 0 33 20 160 155 15 min
#78 4 1 4.0 0 33 60 120 0 11 min
#79 3 5 0.6 0 186 100 80 5 13 min
#80 730 3 2 1.5 0 173 100 220 10 21 min
#81 842 3 1 3.0 0 46 200 340 15 28 min
#82 3 5 0.6 0 38 220 40 15 17 min
#83 421 3 10 0.3 0 28 60 260 80 24 min
#84 3 10 0.3 0 28 180 60 0 19 min
#85 3 7 0.43 0 25 0 80 75 14 min
#86 618 2 2 1.0 0 356 60 260 20 23 min
#87 585 2 18 0.11 0 77 240 120 60 41 min
#88 2 3 0.67 0 73 40 20 0 6 min
#89 2 4 0.5 0 67 40 180 20 17 min
#90 603 2 16 0.12 0 32 340 360 0 45 min
#91 2 1 2.0 0 32 100 160 5 14 min
#92 2 9 0.22 0 25 120 80 0 18 min
#93 403 2 12 0.17 0 25 180 340 155 38 min
#94 2 4 0.5 0 24 0 100 155 12 min
#95 2 7 0.29 0 23 0 160 419 11 min
#96 2 8 0.25 0 20 40 120 0 16 min
#97 2 3 0.67 0 20 120 60 75 15 min
#98 2 1 2.0 0 17 40 0 10 3 min
#99 2 3 0.67 0 15 0 180 5 13 min
#100 742 2 8 0.25 0 14 340 140 170 30 min
#101 839 2 17 0.12 0 13 420 220 0 45 min
#102 1036 2 4 0.5 0 10 40 300 1,040 26 min
#103 772 1 2 0.5 0 349 160 560 55 40 min
#104 1 2 0.5 0 58 160 40 61 13 min
#105 714 1 13 0.08 0 50 300 120 25 30 min
#106 1 5 0.2 0 20 20 100 0 12 min
#107 1 1 1.0 1 19 0 240 15 13 min
#108 501 1 12 0.08 0 17 280 220 0 39 min
#109 1 2 0.5 0 16 0 80 0 6 min
#110 1 2 0.5 0 15 0 100 60 6 min
#111 1 7 0.14 0 15 80 80 10 12 min
#112 567 1 24 0.04 0 15 260 500 1,575 46 min
#113 458 1 15 0.07 0 13 200 480 150 46 min
#114 1 8 0.12 0 13 80 140 0 19 min
#115 1 3 0.33 0 13 0 240 505 13 min
#116 1 1 1.0 0 13 0 20 0 3 min
#117 1 3 0.33 0 12 0 200 0 16 min
#118 1 2 0.5 0 12 140 60 0 15 min
#119 1 7 0.14 0 12 0 40 0 13 min
#120 1 1 1.0 0 11 0 0 0 3 min
#121 1 5 0.2 1 10 160 100 10 18 min
#122 1 2 0.5 0 10 40 20 0 5 min
#123 671 1 9 0.11 1 9 80 240 75 25 min
#124 1 4 0.25 0 9 80 220 65 17 min
#125 1 1 1.0 0 7 0 60 0 6 min
#126 1 4 0.25 0 4 20 80 0 11 min
#127 1 2 0.5 0 4 0 40 100 5 min
#128 1083 0 3 0.0 0 396 80 900 175 46 min
#129 0 1 0.0 0 21 0 100 0 8 min
#130 0 0 0.0 0 11 0 60 115 6 min
#131 0 1 0.0 0 5 20 80 5 6 min
#132 0 3 0.0 0 5 80 140 10 15 min
#133 0 1 0.0 0 5 60 60 0 7 min
#134 0 1 0.0 0 4 20 180 40 12 min
#135 0 3 0.0 0 3 0 60 0 6 min
#136 0 1 0.0 0 2 40 0 50 4 min
#137 0 0 0.0 0 2 0 0 0 3 min
#138 0 3 0.0 0 2 0 220 5 15 min
#139 0 6 0.0 0 2 40 60 5 10 min
#140 0 3 0.0 0 2 140 100 80 14 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 0 0 10 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 1 0.0 0 0 40 20 0 6 min
#146 0 2 0.0 0 0 20 40 0 8 min
#147 0 2 0.0 0 0 20 20 0 5 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 1 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 20 150 3 min
#154 0 2 0.0 0 0 60 0 10 7 min
#155 0 0 0.0 0 0 0 0 0 10 min
#156 0 1 0.0 0 0 0 0 0 1 min
#157 0 0 0.0 0 0 0 120 0 8 min
#158 0 0 0.0 0 0 0 80 30 5 min
#159 0 0 0.0 0 0 220 0 0 11 min
#160 0 6 0.0 0 0 140 80 75 18 min
#161 0 0 0.0 0 0 0 0 0 10 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 8 min
#165 0 0 0.0 0 0 0 0 0 1 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 0 0.0 0 0 0 0 0 2 min
#169 0 0 0.0 0 0 0 0 0 7 min
#170 0 0 0.0 0 0 0 0 0 1 min
#171 0 2 0.0 0 0 0 100 0 7 min
#172 0 0 0.0 0 0 0 0 0 6 min
#173 0 1 0.0 0 0 0 20 0 3 min
#174 0 1 0.0 0 0 0 0 75 2 min
#175 0 0 0.0 0 0 0 0 0 8 min
#176 0 0 0.0 0 0 0 40 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 1 0.0 0 0 0 20 0 3 min
#180 0 0 0.0 0 0 0 0 0 0 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 8 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 0 0.0 0 0 0 0 0 0 min
#186 0 1 0.0 0 0 0 80 0 2 min
#187 0 0 0.0 0 0 0 0 0 0 min
#188 0 0 0.0 0 0 0 0 0 9 min
#189 0 0 0.0 0 0 40 140 0 11 min
#190 0 0 0.0 0 0 0 0 0 0 min
#191 0 0 0.0 0 0 0 0 0 10 min
#192 0 0 0.0 0 0 0 0 0 0 min
#193 0 0 0.0 0 0 0 0 0 4 min
#194 0 0 0.0 0 0 0 0 0 1 min
#195 0 0 0.0 2 0 0 60 30 2 min
#196 0 1 0.0 0 0 0 20 0 9 min
#197 0 0 0.0 0 0 0 0 0 10 min
#198 0 0 0.0 0 0 0 0 0 10 min
#199 0 0 0.0 0 0 0 0 0 1 min
#200 0 0 0.0 0 0 0 0 0 8 min
#201 0 0 0.0 0 0 0 0 0 46 min
#202 0 2 0.0 0 0 0 0 0 3 min
#203 0 0 0.0 0 0 0 0 0 0 min
#204 0 0 0.0 0 0 0 20 0 5 min
#205 0 0 0.0 0 0 0 120 0 8 min
#206 0 0 0.0 0 0 0 0 0 10 min
#207 0 0 0.0 0 0 0 0 0 10 min
#208 0 0 0.0 0 0 0 0 0 10 min
#209 0 0 0.0 0 0 0 0 0 0 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 0 min
#214 0 4 0.0 0 0 80 120 10 14 min
#215 0 0 0.0 0 0 0 0 0 1 min