mortain_warfare_day

Mortain Warfare Day

24.09.2024 17:28 | TACO | Events | EU West

Result

5:0

Axis wins

Players

187

Total Kills

1,726

Allied Kills

776

Axis Kills

950

Match Duration

61 min

Kills/Min

28.3

Normal Match ELO

Allies 1037.0 (all: 825.0)
Ø Match 1097.0
Axis 1157.0 (all: 845.0)
Imbalanced

Player Statistics (187)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1430 46 15 3.07 0 351 620 380 190 56 min
#2 942 41 23 1.78 1 428 680 160 75 59 min
#3 1084 41 12 3.42 1 313 380 620 1,432 56 min
#4 40 12 3.33 0 0 0 0 0 54 min
#5 1127 39 23 1.7 0 407 480 240 0 47 min
#6 908 37 27 1.37 0 304 140 640 84 58 min
#7 946 33 19 1.74 0 259 400 520 225 56 min
#8 962 32 21 1.52 0 236 360 560 0 56 min
#9 898 31 27 1.15 1 268 340 380 0 58 min
#10 1075 31 22 1.41 0 265 640 300 618 56 min
#11 1025 28 27 1.04 1 601 480 100 100 56 min
#12 1240 28 10 2.8 1 263 240 800 2,809 56 min
#13 818 28 11 2.55 5 212 660 300 0 56 min
#14 1194 27 12 2.25 0 255 700 60 0 44 min
#15 858 27 14 1.93 0 212 720 240 237 56 min
#16 756 26 17 1.53 0 430 400 520 30 56 min
#17 1101 25 18 1.39 1 610 500 360 775 56 min
#18 996 25 23 1.09 0 298 260 580 0 56 min
#19 1058 25 11 2.27 0 269 260 780 4,897 56 min
#20 911 25 10 2.5 0 195 220 400 30 38 min
#21 995 24 26 0.92 0 183 200 660 96 56 min
#22 837 23 17 1.35 0 181 680 140 0 56 min
#23 710 22 31 0.71 0 258 200 660 0 59 min
#24 562 22 20 1.1 1 183 460 380 435 56 min
#25 1063 21 17 1.24 1 415 640 340 180 59 min
#26 941 21 28 0.75 0 162 100 760 1,065 56 min
#27 755 20 13 1.54 0 365 220 780 0 56 min
#28 1014 20 10 2.0 0 208 560 180 0 44 min
#29 846 20 8 2.5 0 168 280 360 265 45 min
#30 764 19 13 1.46 1 219 280 640 225 56 min
#31 864 19 9 2.11 0 175 900 140 130 56 min
#32 802 19 20 0.95 0 169 480 400 0 56 min
#33 640 19 23 0.83 1 132 140 740 30 59 min
#34 890 18 13 1.38 0 138 140 380 180 39 min
#35 776 17 26 0.65 0 209 140 660 60 56 min
#36 980 17 12 1.42 0 135 280 80 0 24 min
#37 995 16 21 0.76 0 169 400 560 2,095 56 min
#38 943 16 9 1.78 1 138 180 220 0 26 min
#39 721 16 13 1.23 0 111 80 780 288 53 min
#40 894 16 6 2.67 0 108 80 300 0 30 min
#41 1081 15 15 1.0 1 283 360 160 0 33 min
#42 563 15 4 3.75 2 259 60 700 0 42 min
#43 742 15 13 1.15 0 136 280 680 210 59 min
#44 838 15 18 0.83 0 131 800 220 410 56 min
#45 643 15 12 1.25 0 120 240 640 0 52 min
#46 638 15 15 1.0 0 120 320 480 340 49 min
#47 1018 15 12 1.25 0 118 120 100 75 21 min
#48 771 15 12 1.25 0 117 820 80 0 56 min
#49 720 15 14 1.07 0 117 520 340 308 52 min
#50 782 14 24 0.58 0 159 480 300 1,425 58 min
#51 816 14 12 1.17 0 132 760 260 0 56 min
#52 715 14 10 1.4 1 117 260 200 0 29 min
#53 766 14 20 0.7 1 110 80 740 330 53 min
#54 769 13 7 1.86 0 284 660 440 85 56 min
#55 775 13 12 1.08 0 181 840 120 688 59 min
#56 805 13 28 0.46 0 126 240 420 93 58 min
#57 842 13 17 0.76 0 116 180 440 205 49 min
#58 667 13 19 0.68 0 100 520 440 757 56 min
#59 1023 12 21 0.57 0 103 320 120 0 34 min
#60 757 12 22 0.55 2 99 40 860 817 56 min
#61 856 11 14 0.79 0 131 280 140 60 35 min
#62 11 9 1.22 0 100 240 0 75 15 min
#63 618 11 20 0.55 0 94 300 520 0 58 min
#64 1068 11 13 0.85 0 88 140 280 30 32 min
#65 737 11 5 2.2 0 81 320 120 0 36 min
#66 632 11 17 0.65 0 75 620 260 0 54 min
#67 808 10 19 0.53 0 179 220 640 0 56 min
#68 10 11 0.91 0 86 0 280 180 19 min
#69 936 10 11 0.91 0 81 180 120 0 25 min
#70 997 10 5 2.0 0 81 280 40 0 24 min
#71 632 10 11 0.91 0 72 180 860 609 56 min
#72 703 10 15 0.67 0 69 80 500 75 43 min
#73 810 10 12 0.83 0 68 20 420 200 30 min
#74 735 10 11 0.91 0 63 0 460 30 32 min
#75 1070 9 15 0.6 0 75 160 660 170 47 min
#76 641 9 13 0.69 0 68 160 600 689 53 min
#77 878 9 11 0.82 2 66 40 520 294 37 min
#78 725 9 23 0.39 1 66 140 700 0 53 min
#79 673 9 15 0.6 1 63 340 520 175 56 min
#80 701 8 8 1.0 0 271 60 800 210 49 min
#81 679 8 10 0.8 1 177 0 1,000 431 56 min
#82 872 8 12 0.67 0 109 160 900 2,411 56 min
#83 8 10 0.8 0 98 80 140 0 19 min
#84 802 8 19 0.42 0 77 100 820 3,553 56 min
#85 674 8 25 0.32 0 68 0 800 561 53 min
#86 672 8 15 0.53 0 67 0 980 334 56 min
#87 834 8 8 1.0 0 63 220 140 30 22 min
#88 613 8 20 0.4 0 60 280 600 225 56 min
#89 8 4 2.0 0 57 0 180 0 12 min
#90 718 7 13 0.54 0 303 60 860 130 55 min
#91 589 7 26 0.27 1 53 120 560 0 49 min
#92 7 3 2.33 0 45 0 340 150 19 min
#93 578 7 18 0.39 0 45 20 880 972 56 min
#94 7 28 0.25 0 0 0 0 0 56 min
#95 569 6 8 0.75 0 216 300 720 0 55 min
#96 825 6 7 0.86 0 92 80 400 30 30 min
#97 1257 6 12 0.5 1 78 300 20 173 25 min
#98 6 1 6.0 0 71 0 260 0 16 min
#99 831 6 10 0.6 0 67 460 140 0 35 min
#100 6 10 0.6 0 48 180 60 152 16 min
#101 657 5 8 0.62 0 47 220 120 90 23 min
#102 676 5 7 0.71 0 38 40 300 75 24 min
#103 813 5 10 0.5 0 36 180 60 25 21 min
#104 5 8 0.62 0 0 0 0 0 20 min
#105 989 4 5 0.8 0 94 120 440 2,371 33 min
#106 4 2 2.0 0 30 0 240 0 13 min
#107 785 3 13 0.23 0 71 100 200 60 26 min
#108 909 3 3 1.0 0 39 160 120 0 23 min
#109 642 3 9 0.33 0 32 340 80 0 31 min
#110 3 8 0.38 0 24 20 180 100 18 min
#111 3 8 0.38 0 24 80 0 0 12 min
#112 570 3 7 0.43 0 23 20 260 150 22 min
#113 3 12 0.25 0 21 0 260 310 19 min
#114 760 3 5 0.6 0 15 40 300 0 21 min
#115 698 2 6 0.33 0 118 160 280 981 26 min
#116 2 1 2.0 0 71 0 300 0 16 min
#117 501 2 16 0.12 0 32 0 580 0 37 min
#118 2 3 0.67 0 20 0 60 0 6 min
#119 2 2 1.0 0 20 40 40 0 6 min
#120 532 2 9 0.22 0 20 200 60 230 24 min
#121 2 2 1.0 0 18 160 80 0 16 min
#122 504 2 5 0.4 0 17 0 460 158 25 min
#123 2 1 2.0 0 15 0 20 0 4 min
#124 2 6 0.33 0 12 0 260 0 17 min
#125 716 2 5 0.4 0 12 400 160 0 38 min
#126 2 3 0.67 0 9 20 60 0 10 min
#127 1 2 0.5 0 14 100 0 0 7 min
#128 1 4 0.25 0 14 0 180 30 15 min
#129 1 1 1.0 0 11 0 60 0 17 min
#130 1 9 0.11 0 9 0 200 0 14 min
#131 1 3 0.33 0 9 80 20 30 7 min
#132 1 4 0.25 0 9 0 220 0 15 min
#133 1 1 1.0 0 6 0 20 0 4 min
#134 1 3 0.33 0 3 0 20 0 4 min
#135 0 1 0.0 0 10 140 1,000 0 56 min
#136 0 1 0.0 0 5 40 60 111 10 min
#137 0 0 0.0 0 0 0 40 0 5 min
#138 0 0 0.0 0 0 0 0 0 2 min
#139 0 0 0.0 0 0 0 0 0 7 min
#140 0 2 0.0 0 0 0 40 0 4 min
#141 0 1 0.0 0 0 0 0 25 2 min
#142 0 0 0.0 0 0 0 0 0 0 min
#143 0 0 0.0 0 0 0 0 0 0 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 0 0.0 0 0 0 60 0 5 min
#146 0 0 0.0 0 0 0 0 0 6 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 60 25 2 min
#149 0 1 0.0 0 0 20 0 0 3 min
#150 0 0 0.0 0 0 0 60 0 5 min
#151 0 4 0.0 0 0 20 140 0 14 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 0 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 20 0 2 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 2 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 20 0 4 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 0 0.0 0 0 0 0 0 0 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 56 min
#167 0 1 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 0 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 3 0.0 0 0 0 120 155 10 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 0 0.0 0 0 0 0 0 56 min
#174 0 2 0.0 0 0 0 40 0 6 min
#175 0 6 0.0 0 0 60 180 20 18 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 0 0 2 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 0 0 2 min
#180 0 0 0.0 1 0 0 0 0 2 min
#181 0 0 0.0 0 0 0 0 0 1 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 2 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 0 0.0 0 0 0 0 0 0 min
#187 0 0 0.0 0 0 0 0 0 0 min