tobruk_offensiveger_dusk

Tobruk Offensive Dusk DAK attack

02.04.2025 23:52 | TACO | Events | EU West

Result

3:2

Axis wins

Players

222

Total Kills

1,004

Allied Kills

560

Axis Kills

444

Match Duration

68 min

Kills/Min

14.8

Normal Match ELO

Allies 1060.0 (all: 780.0)
Ø Match 1036.0
Axis 1012.0 (all: 770.0)

Player Statistics (222)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1320 55 10 5.5 0 526 200 840 85 60 min
#2 1056 36 16 2.25 0 421 220 820 854 62 min
#3 1347 32 7 4.57 1 275 360 60 0 28 min
#4 992 28 11 2.55 1 261 320 140 466 30 min
#5 944 27 14 1.93 0 356 120 840 5 56 min
#6 941 26 23 1.13 1 229 100 740 60 56 min
#7 623 25 14 1.79 0 222 540 120 25 41 min
#8 1048 23 17 1.35 0 234 760 100 320 54 min
#9 714 23 15 1.53 0 225 20 820 128 50 min
#10 1299 23 4 5.75 0 208 160 140 0 20 min
#11 1306 22 8 2.75 0 328 0 300 0 28 min
#12 789 20 11 1.82 0 229 20 500 140 34 min
#13 875 19 25 0.76 0 258 0 1,000 65 65 min
#14 991 19 9 2.11 0 220 380 0 5 25 min
#15 833 18 22 0.82 0 394 560 380 143 60 min
#16 18 1 18.0 1 145 0 220 120 14 min
#17 14 8 1.75 0 152 260 0 0 19 min
#18 929 14 8 1.75 0 147 0 420 230 27 min
#19 14 5 2.8 2 135 0 180 0 14 min
#20 716 14 4 3.5 0 132 740 320 0 60 min
#21 690 13 6 2.17 0 150 100 600 45 40 min
#22 800 13 12 1.08 1 145 20 620 330 40 min
#23 591 13 18 0.72 0 118 180 540 250 51 min
#24 702 12 14 0.86 0 293 200 800 1,830 64 min
#25 565 12 11 1.09 1 166 360 720 165 66 min
#26 915 12 15 0.8 0 162 500 20 0 34 min
#27 739 11 30 0.37 0 129 580 320 622 63 min
#28 582 11 26 0.42 1 128 760 260 65 64 min
#29 654 11 20 0.55 0 116 600 220 230 58 min
#30 11 7 1.57 0 95 180 0 70 14 min
#31 1023 11 13 0.85 0 95 240 0 170 22 min
#32 998 11 5 2.2 2 88 0 540 1,512 35 min
#33 10 10 1.0 0 96 0 220 0 18 min
#34 10 5 2.0 0 90 140 120 0 17 min
#35 10 5 2.0 0 80 240 0 205 16 min
#36 9 6 1.5 0 128 0 180 115 15 min
#37 646 9 11 0.82 0 120 0 380 90 26 min
#38 924 9 13 0.69 0 111 0 860 613 56 min
#39 792 9 8 1.12 2 99 920 180 2,229 63 min
#40 598 9 7 1.29 0 89 0 500 290 30 min
#41 8 3 2.67 0 120 0 100 0 6 min
#42 744 8 12 0.67 1 80 580 0 413 42 min
#43 8 5 1.6 0 78 0 220 15 15 min
#44 681 8 12 0.67 1 76 260 40 150 25 min
#45 413 8 27 0.3 4 64 840 140 146 63 min
#46 830 8 12 0.67 0 60 240 140 25 28 min
#47 8 2 4.0 0 59 180 0 70 14 min
#48 7 6 1.17 0 79 220 0 20 16 min
#49 663 7 3 2.33 1 71 240 380 50 33 min
#50 601 7 6 1.17 1 65 0 460 111 31 min
#51 7 2 3.5 0 60 140 40 0 11 min
#52 670 6 18 0.33 0 166 600 240 65 60 min
#53 712 6 15 0.4 0 97 0 440 35 30 min
#54 567 6 11 0.55 1 84 0 1,140 785 64 min
#55 654 6 12 0.5 0 80 0 380 95 26 min
#56 6 5 1.2 1 70 40 140 5 13 min
#57 803 5 9 0.56 0 147 340 0 15 24 min
#58 706 5 4 1.25 1 89 280 180 80 28 min
#59 5 3 1.67 0 72 0 140 30 10 min
#60 5 7 0.71 0 63 0 320 15 20 min
#61 858 5 6 0.83 3 59 260 80 165 24 min
#62 765 5 12 0.42 0 58 560 160 0 49 min
#63 653 5 14 0.36 1 55 220 60 155 25 min
#64 5 3 1.67 0 55 20 80 0 7 min
#65 5 6 0.83 0 54 0 200 15 0 min
#66 5 5 1.0 0 50 0 180 10 15 min
#67 5 6 0.83 1 37 0 180 175 14 min
#68 5 5 1.0 0 0 0 0 0 21 min
#69 591 4 7 0.57 1 98 300 40 22 23 min
#70 4 9 0.44 0 53 0 280 0 20 min
#71 797 4 1 4.0 0 52 660 60 221 38 min
#72 491 4 9 0.44 0 52 440 80 70 41 min
#73 4 1 4.0 0 45 20 120 0 9 min
#74 470 4 8 0.5 0 43 280 40 90 25 min
#75 4 4 1.0 0 39 180 0 0 13 min
#76 4 3 1.33 0 37 0 80 0 9 min
#77 553 4 7 0.57 0 36 280 40 165 25 min
#78 697 4 15 0.27 0 33 280 40 90 27 min
#79 4 6 0.67 0 33 100 0 0 9 min
#80 4 1 4.0 0 32 20 0 0 3 min
#81 4 5 0.8 0 31 140 80 250 16 min
#82 4 2 2.0 0 31 60 20 0 9 min
#83 742 4 13 0.31 0 31 320 20 235 24 min
#84 4 1 4.0 0 28 120 0 5 6 min
#85 4 5 0.8 0 0 0 0 0 15 min
#86 3 4 0.75 0 37 220 0 70 14 min
#87 3 1 3.0 0 37 0 160 40 18 min
#88 3 7 0.43 0 35 220 20 0 18 min
#89 3 4 0.75 0 30 140 20 0 10 min
#90 3 1 3.0 0 30 160 0 35 10 min
#91 614 3 12 0.25 0 26 0 380 200 27 min
#92 550 3 5 0.6 0 26 0 240 0 24 min
#93 3 2 1.5 0 22 0 120 0 11 min
#94 2 2 1.0 0 28 60 120 15 13 min
#95 2 2 1.0 0 28 0 40 0 3 min
#96 2 6 0.33 0 27 100 20 5 8 min
#97 2 3 0.67 0 24 60 0 0 7 min
#98 2 1 2.0 0 23 0 100 10 5 min
#99 2 3 0.67 0 23 100 0 35 7 min
#100 2 1 2.0 0 23 0 100 0 7 min
#101 2 4 0.5 0 22 100 40 75 8 min
#102 2 2 1.0 0 18 0 100 0 8 min
#103 2 2 1.0 0 17 0 60 65 7 min
#104 2 1 2.0 0 17 0 120 0 7 min
#105 2 3 0.67 0 16 180 40 0 16 min
#106 2 0 2.0 0 16 60 20 0 5 min
#107 2 3 0.67 0 15 120 20 0 12 min
#108 2 4 0.5 0 15 140 0 20 10 min
#109 2 3 0.67 0 15 80 60 10 10 min
#110 2 7 0.29 0 14 120 60 64 15 min
#111 1 1 1.0 0 49 0 120 30 7 min
#112 628 1 5 0.2 0 34 0 260 35 20 min
#113 1 5 0.2 0 31 200 20 5 18 min
#114 1 5 0.2 0 23 0 160 0 13 min
#115 1 2 0.5 0 23 0 60 90 6 min
#116 1 9 0.11 1 19 100 40 55 14 min
#117 1 4 0.25 0 16 20 180 650 13 min
#118 1 1 1.0 0 15 0 80 0 5 min
#119 575 1 5 0.2 0 13 0 360 0 31 min
#120 1 1 1.0 0 12 100 100 0 12 min
#121 1 3 0.33 0 11 0 120 0 10 min
#122 1 2 0.5 0 11 0 80 0 8 min
#123 1 5 0.2 0 10 80 0 0 19 min
#124 1 2 0.5 0 9 0 60 0 5 min
#125 1 1 1.0 0 9 0 0 0 2 min
#126 1 1 1.0 0 8 0 20 0 3 min
#127 1 2 0.5 0 8 0 40 0 6 min
#128 1 2 0.5 0 7 0 60 0 5 min
#129 0 1 0.0 0 58 80 40 0 8 min
#130 0 4 0.0 0 36 60 0 0 10 min
#131 0 1 0.0 0 10 0 80 0 4 min
#132 0 3 0.0 0 10 0 180 5 15 min
#133 0 0 0.0 2 8 0 280 10 15 min
#134 0 2 0.0 0 6 0 200 20 15 min
#135 0 0 0.0 0 5 0 260 15 15 min
#136 0 5 0.0 0 4 140 60 5 17 min
#137 0 0 0.0 0 4 100 20 5 9 min
#138 0 5 0.0 0 3 40 140 170 17 min
#139 0 0 0.0 0 3 0 60 5 4 min
#140 0 3 0.0 0 2 60 0 30 3 min
#141 0 1 0.0 0 2 60 0 5 3 min
#142 453 0 5 0.0 0 2 0 240 190 25 min
#143 0 0 0.0 0 2 20 0 5 2 min
#144 0 1 0.0 0 1 20 0 0 8 min
#145 0 8 0.0 0 1 180 0 265 16 min
#146 0 2 0.0 0 1 20 0 0 3 min
#147 0 1 0.0 0 1 0 0 55 2 min
#148 0 1 0.0 0 1 0 0 0 2 min
#149 0 2 0.0 0 1 40 0 0 3 min
#150 0 2 0.0 0 1 0 20 0 4 min
#151 0 1 0.0 0 0 0 40 25 6 min
#152 0 0 0.0 0 0 0 20 0 2 min
#153 0 1 0.0 0 0 100 60 0 10 min
#154 0 0 0.0 0 0 0 0 0 1 min
#155 0 0 0.0 0 0 0 0 0 10 min
#156 0 4 0.0 0 0 20 60 0 14 min
#157 0 0 0.0 0 0 0 0 0 0 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 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 1 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 0 0.0 0 0 0 0 0 1 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 20 0 2 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 0 0.0 0 0 0 0 0 0 min
#172 0 0 0.0 1 0 0 40 0 7 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 0 0.0 0 0 0 0 0 2 min
#175 0 0 0.0 0 0 0 0 0 1 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 1 0.0 0 0 0 0 0 2 min
#180 0 0 0.0 0 0 0 0 0 7 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 1 0 0 40 0 4 min
#184 0 1 0.0 0 0 0 20 0 3 min
#185 0 0 0.0 0 0 0 0 0 1 min
#186 0 0 0.0 0 0 0 0 0 1 min
#187 0 1 0.0 0 0 40 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 40 0 3 min
#191 0 0 0.0 0 0 0 0 0 11 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 1 0.0 0 0 100 20 0 18 min
#196 0 0 0.0 0 0 0 0 0 0 min
#197 0 0 0.0 0 0 0 120 128 7 min
#198 0 0 0.0 0 0 0 20 0 2 min
#199 0 0 0.0 0 0 0 0 0 0 min
#200 0 0 0.0 0 0 0 20 0 3 min
#201 0 0 0.0 0 0 0 0 0 0 min
#202 0 0 0.0 0 0 0 0 0 0 min
#203 0 0 0.0 0 0 0 0 0 1 min
#204 0 0 0.0 0 0 0 0 0 0 min
#205 0 0 0.0 0 0 0 0 0 0 min
#206 0 0 0.0 0 0 0 0 0 1 min
#207 0 0 0.0 0 0 0 0 0 2 min
#208 0 0 0.0 0 0 20 0 0 0 min
#209 0 1 0.0 0 0 0 0 0 2 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 0 0.0 0 0 0 0 0 0 min
#215 0 0 0.0 0 0 0 0 0 1 min
#216 533 0 2 0.0 0 0 0 260 25 24 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 3 0.0 0 0 100 0 25 8 min
#220 0 0 0.0 0 0 0 0 0 2 min
#221 0 0 0.0 0 0 0 0 0 0 min
#222 0 0 0.0 0 0 0 0 0 0 min