tobruk_offensiveger_morning

Tobruk Offensive Dawn DAK attack

02.04.2025 20:03 | TACO | Events | EU West

Result

5:0

Axis wins

Players

205

Total Kills

1,153

Allied Kills

527

Axis Kills

626

Match Duration

45 min

Kills/Min

25.9

Normal Match ELO

Allies 1002.0 (all: 750.0)
Ø Match 1056.0
Axis 1111.0 (all: 841.0)
Imbalanced

Player Statistics (205)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1189 42 11 3.82 0 383 540 100 100 40 min
#2 967 39 16 2.44 0 394 60 580 55 41 min
#3 1189 36 3 12.0 1 348 220 420 2,804 34 min
#4 1076 31 15 2.07 0 273 360 180 10 37 min
#5 1223 30 9 3.33 0 298 520 160 60 41 min
#6 1171 29 17 1.71 0 339 440 180 5 41 min
#7 816 29 6 4.83 1 272 60 580 5 40 min
#8 1005 29 8 3.62 0 268 540 160 65 41 min
#9 1135 26 22 1.18 0 282 20 580 160 40 min
#10 1087 24 22 1.09 0 273 60 540 690 41 min
#11 938 23 13 1.77 0 219 520 40 15 36 min
#12 1137 22 16 1.38 0 266 480 180 70 41 min
#13 1173 21 13 1.62 0 229 520 40 225 38 min
#14 801 21 25 0.84 0 204 60 520 85 40 min
#15 755 20 13 1.54 0 228 40 540 10 40 min
#16 680 19 6 3.17 1 231 0 680 60 40 min
#17 719 19 13 1.46 0 223 500 100 490 41 min
#18 1004 19 1 19.0 0 134 20 420 40 24 min
#19 1167 18 17 1.06 0 244 400 40 0 33 min
#20 960 17 14 1.21 0 221 400 160 15 37 min
#21 714 17 24 0.71 1 184 80 520 105 40 min
#22 931 17 12 1.42 0 182 480 60 490 38 min
#23 16 8 2.0 0 176 0 280 10 20 min
#24 822 15 16 0.94 0 146 320 140 325 32 min
#25 14 0 14.0 0 315 0 280 5 15 min
#26 748 14 13 1.08 0 206 560 0 101 38 min
#27 14 8 1.75 0 163 240 0 35 17 min
#28 783 13 11 1.18 1 165 80 620 115 41 min
#29 686 13 12 1.08 0 153 520 160 30 41 min
#30 934 13 23 0.57 0 147 520 80 210 41 min
#31 904 13 10 1.3 0 143 200 140 135 27 min
#32 1027 13 12 1.08 0 137 40 220 10 21 min
#33 728 12 10 1.2 0 158 480 180 1,485 41 min
#34 733 12 9 1.33 0 125 0 400 122 33 min
#35 630 11 13 0.85 0 129 480 200 275 41 min
#36 833 11 17 0.65 0 112 0 540 175 40 min
#37 836 11 18 0.61 1 111 0 400 165 36 min
#38 616 11 9 1.22 1 109 0 720 515 40 min
#39 11 2 5.5 0 105 0 160 0 12 min
#40 11 8 1.38 0 95 0 280 50 17 min
#41 531 10 13 0.77 0 170 520 180 240 40 min
#42 766 10 14 0.71 0 128 460 160 40 41 min
#43 943 10 14 0.71 1 127 520 140 390 41 min
#44 547 9 14 0.64 0 149 20 580 25 42 min
#45 698 9 5 1.8 1 110 720 20 30 40 min
#46 1032 9 4 2.25 0 108 260 400 1,633 38 min
#47 9 5 1.8 0 106 0 180 10 14 min
#48 655 9 11 0.82 0 104 0 280 45 23 min
#49 595 9 14 0.64 0 94 20 640 493 40 min
#50 667 9 17 0.53 0 87 60 400 45 36 min
#51 975 8 22 0.36 0 160 0 540 90 40 min
#52 847 8 15 0.53 0 120 460 140 50 40 min
#53 8 12 0.67 0 101 180 60 0 18 min
#54 820 8 15 0.53 0 95 0 640 1,254 40 min
#55 641 8 13 0.62 4 92 180 320 5 38 min
#56 787 8 11 0.73 0 87 0 640 946 40 min
#57 547 8 11 0.73 0 71 0 400 195 29 min
#58 818 7 2 3.5 1 287 220 540 60 41 min
#59 606 7 3 2.33 1 219 80 680 20 41 min
#60 7 5 1.4 0 117 40 280 35 19 min
#61 800 7 10 0.7 0 113 340 60 30 35 min
#62 689 7 16 0.44 0 102 480 160 705 40 min
#63 631 7 11 0.64 0 87 360 260 20 40 min
#64 776 7 5 1.4 0 87 60 500 155 42 min
#65 7 3 2.33 0 69 80 200 5 16 min
#66 788 7 19 0.37 2 63 440 120 40 41 min
#67 566 6 13 0.46 0 85 300 260 60 40 min
#68 6 1 6.0 0 59 0 120 0 8 min
#69 6 4 1.5 0 57 0 120 5 9 min
#70 545 5 2 2.5 0 219 220 560 30 40 min
#71 556 5 13 0.38 0 129 420 240 20 41 min
#72 627 5 6 0.83 1 57 0 400 0 25 min
#73 5 3 1.67 0 46 100 140 0 16 min
#74 751 4 1 4.0 0 282 220 540 60 40 min
#75 688 4 2 2.0 0 214 80 560 30 36 min
#76 697 4 8 0.5 0 99 40 380 595 32 min
#77 578 4 15 0.27 0 97 0 440 55 40 min
#78 580 4 9 0.44 0 58 20 340 255 26 min
#79 4 1 4.0 0 56 0 100 5 8 min
#80 639 4 20 0.2 0 55 440 160 122 44 min
#81 4 1 4.0 0 46 20 60 30 6 min
#82 4 7 0.57 0 45 20 200 15 17 min
#83 706 4 12 0.33 1 43 40 300 5 31 min
#84 4 9 0.44 0 43 20 200 75 16 min
#85 4 9 0.44 0 42 0 240 0 20 min
#86 4 9 0.44 0 42 40 180 0 18 min
#87 4 5 0.8 0 42 180 80 0 17 min
#88 4 1 4.0 0 38 40 20 30 6 min
#89 824 3 1 3.0 0 143 340 180 0 29 min
#90 3 4 0.75 0 58 80 140 10 17 min
#91 3 1 3.0 0 54 120 20 10 9 min
#92 3 4 0.75 1 50 160 0 5 14 min
#93 708 3 6 0.5 0 48 300 80 187 25 min
#94 3 6 0.5 0 43 100 60 5 13 min
#95 3 6 0.5 0 28 0 120 80 12 min
#96 591 3 7 0.43 0 28 60 400 75 32 min
#97 2 0 2.0 0 320 0 240 0 14 min
#98 777 2 9 0.22 0 80 500 60 1,365 37 min
#99 815 2 18 0.11 0 33 20 440 0 36 min
#100 2 3 0.67 0 32 80 0 0 8 min
#101 658 2 13 0.15 1 32 160 500 437 43 min
#102 2 5 0.4 0 25 0 220 105 17 min
#103 2 8 0.25 0 24 0 160 0 15 min
#104 736 2 5 0.4 0 22 720 0 416 41 min
#105 2 4 0.5 0 19 0 80 0 8 min
#106 2 1 2.0 0 19 0 180 0 11 min
#107 2 1 2.0 0 17 0 20 0 2 min
#108 2 3 0.67 0 12 0 280 620 19 min
#109 1 2 0.5 0 33 180 60 145 13 min
#110 812 1 3 0.33 0 27 260 60 905 22 min
#111 1 5 0.2 0 24 80 120 95 13 min
#112 1 3 0.33 0 21 0 240 300 14 min
#113 1 3 0.33 0 18 140 80 50 16 min
#114 622 1 9 0.11 0 15 0 280 35 25 min
#115 1 5 0.2 0 14 20 260 5 17 min
#116 1 5 0.2 0 13 0 160 30 13 min
#117 1 1 1.0 0 10 40 0 0 3 min
#118 1 1 1.0 0 10 0 60 30 7 min
#119 1 3 0.33 0 10 20 100 10 11 min
#120 1 0 1.0 0 10 0 20 0 5 min
#121 1 3 0.33 0 10 0 200 30 13 min
#122 1 1 1.0 0 10 20 0 0 2 min
#123 1 3 0.33 0 9 0 40 0 8 min
#124 1 7 0.14 0 9 0 60 75 11 min
#125 1 1 1.0 0 9 0 80 5 6 min
#126 1 3 0.33 0 6 0 20 0 3 min
#127 1 2 0.5 0 6 0 20 0 7 min
#128 0 0 0.0 0 300 0 300 40 16 min
#129 0 1 0.0 0 131 20 420 35 24 min
#130 0 5 0.0 0 30 160 40 105 14 min
#131 0 0 0.0 0 20 0 300 100 17 min
#132 0 2 0.0 0 9 0 40 0 7 min
#133 0 5 0.0 0 9 0 60 5 5 min
#134 746 0 9 0.0 0 6 320 140 120 30 min
#135 0 3 0.0 0 5 0 120 30 10 min
#136 0 4 0.0 0 4 40 80 0 10 min
#137 0 2 0.0 0 4 120 0 83 9 min
#138 0 0 0.0 0 3 0 40 10 3 min
#139 0 1 0.0 0 3 0 80 5 4 min
#140 0 1 0.0 0 2 0 20 0 3 min
#141 0 1 0.0 1 2 100 20 20 8 min
#142 0 2 0.0 0 2 0 40 0 4 min
#143 0 1 0.0 0 2 0 20 0 4 min
#144 0 1 0.0 0 2 0 40 0 6 min
#145 0 2 0.0 0 2 0 200 0 13 min
#146 0 2 0.0 0 2 40 0 0 5 min
#147 0 1 0.0 0 2 60 40 0 7 min
#148 0 1 0.0 0 1 40 40 5 4 min
#149 0 1 0.0 0 1 0 40 0 3 min
#150 0 3 0.0 0 1 20 120 45 10 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 40 0 3 min
#153 0 0 0.0 0 0 0 0 0 40 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 0 0.0 0 0 0 0 0 40 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 2 min
#158 0 0 0.0 0 0 0 0 0 0 min
#159 0 0 0.0 0 0 0 40 0 3 min
#160 0 0 0.0 0 0 0 0 0 0 min
#161 0 0 0.0 0 0 0 20 0 3 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 0 0 1 min
#164 0 0 0.0 0 0 0 0 0 1 min
#165 0 0 0.0 0 0 0 40 0 3 min
#166 0 0 0.0 0 0 0 0 0 40 min
#167 0 3 0.0 0 0 0 300 65 17 min
#168 0 0 0.0 0 0 0 0 0 1 min
#169 0 0 0.0 0 0 0 0 0 0 min
#170 0 2 0.0 0 0 0 0 0 3 min
#171 0 0 0.0 0 0 0 20 0 2 min
#172 0 2 0.0 0 0 0 20 0 5 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 1 0.0 0 0 0 0 0 2 min
#175 0 0 0.0 0 0 0 0 0 0 min
#176 0 0 0.0 0 0 0 160 206 9 min
#177 0 0 0.0 0 0 0 0 0 1 min
#178 0 0 0.0 0 0 0 0 0 1 min
#179 0 0 0.0 0 0 0 20 0 4 min
#180 0 0 0.0 0 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 1 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 0 0.0 0 0 0 0 0 0 min
#185 0 0 0.0 0 0 0 0 0 1 min
#186 0 2 0.0 0 0 0 0 0 4 min
#187 0 0 0.0 0 0 0 0 0 1 min
#188 0 0 0.0 0 0 0 0 0 0 min
#189 0 0 0.0 0 0 0 0 0 0 min
#190 0 0 0.0 0 0 0 0 0 0 min
#191 0 0 0.0 0 0 0 0 0 2 min
#192 0 0 0.0 0 0 0 0 0 0 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 0 0 0 min
#196 0 0 0.0 0 0 0 0 0 0 min
#197 0 0 0.0 0 0 0 0 0 1 min
#198 0 0 0.0 0 0 0 0 0 1 min
#199 0 0 0.0 0 0 0 0 0 0 min
#200 0 0 0.0 0 0 0 0 0 1 min
#201 0 0 0.0 0 0 0 0 0 2 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 1 min