tobruk_offensiveger_morning

Tobruk Offensive Dawn DAK attack

08.02.2026 04:59 | For Tea & Country [EU|ENG] New Player Friendly

Result

5:0

Axis wins

Players

182

Total Kills

2,017

Allied Kills

1,062

Axis Kills

955

Match Duration

69 min

Kills/Min

29.3

Normal Match ELO

Allies 1218.0 (all: 744.0)
Ø Match 1117.0
Axis 1016.0 (all: 745.0)
Highly imbalanced

Player Statistics (182)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 2134 105 22 4.77 0 1,329 60 1,080 584 64 min
#2 997 73 26 2.81 0 816 960 140 50 66 min
#3 1034 48 21 2.29 0 411 0 820 250 50 min
#4 705 46 16 2.88 2 708 600 460 1,215 64 min
#5 891 46 22 2.09 0 487 240 860 470 64 min
#6 948 40 12 3.33 0 383 20 580 0 40 min
#7 777 38 11 3.45 8 757 700 440 3,687 64 min
#8 1077 38 22 1.73 0 631 800 240 395 64 min
#9 982 36 30 1.2 0 485 840 160 520 64 min
#10 911 36 22 1.64 0 447 560 280 40 62 min
#11 802 36 31 1.16 0 317 80 900 1,220 64 min
#12 956 35 5 7.0 0 1,143 720 520 200 64 min
#13 654 34 24 1.42 0 425 80 1,020 135 66 min
#14 968 31 29 1.07 0 912 760 180 1,309 60 min
#15 1069 31 24 1.29 0 725 1,120 0 80 64 min
#16 1445 31 9 3.44 0 311 0 540 35 32 min
#17 713 31 35 0.89 0 296 780 200 20 64 min
#18 702 29 15 1.93 0 286 0 520 175 33 min
#19 874 28 15 1.87 0 347 60 1,100 524 64 min
#20 541 27 20 1.35 0 434 80 980 95 66 min
#21 1195 27 17 1.59 0 345 540 220 10 46 min
#22 1080 26 38 0.68 0 330 740 220 205 64 min
#23 846 26 22 1.18 0 261 100 980 110 64 min
#24 682 25 24 1.04 0 351 60 980 605 64 min
#25 591 25 14 1.79 0 223 40 920 150 62 min
#26 24 2 12.0 1 361 0 920 0 0 min
#27 947 23 5 4.6 0 355 0 640 15 36 min
#28 553 22 16 1.38 0 710 780 380 25 64 min
#29 770 22 19 1.16 4 544 800 180 415 64 min
#30 979 22 22 1.0 0 450 1,040 100 720 64 min
#31 810 22 23 0.96 1 330 420 200 320 45 min
#32 850 22 26 0.85 0 227 100 740 5 55 min
#33 684 22 33 0.67 0 214 780 100 1,726 64 min
#34 789 21 22 0.95 0 729 760 120 395 64 min
#35 620 21 23 0.91 0 213 1,060 20 45 64 min
#36 1288 20 8 2.5 0 214 0 360 105 23 min
#37 1438 19 9 2.11 0 287 0 680 477 42 min
#38 815 19 33 0.58 0 276 700 120 10 58 min
#39 740 19 35 0.54 0 266 760 80 10 64 min
#40 657 19 33 0.58 0 192 800 220 816 64 min
#41 597 18 28 0.64 0 497 640 120 160 56 min
#42 861 18 14 1.29 0 461 780 100 75 55 min
#43 644 18 22 0.82 0 296 120 960 50 64 min
#44 860 18 10 1.8 0 170 760 140 5 52 min
#45 806 17 21 0.81 0 222 0 1,040 1,345 64 min
#46 471 17 24 0.71 0 184 0 880 41 58 min
#47 714 17 6 2.83 0 160 100 620 30 42 min
#48 662 17 26 0.65 0 150 60 900 2,100 60 min
#49 831 16 16 1.0 0 318 220 600 330 50 min
#50 795 16 17 0.94 0 316 1,060 100 982 64 min
#51 811 16 21 0.76 0 263 0 1,000 973 61 min
#52 764 16 37 0.43 0 214 760 80 145 64 min
#53 560 16 14 1.14 0 154 80 800 80 54 min
#54 620 16 9 1.78 0 142 0 660 35 40 min
#55 16 6 2.67 0 138 100 120 10 15 min
#56 677 15 32 0.47 0 195 100 900 110 64 min
#57 868 14 33 0.42 0 195 560 180 5 59 min
#58 14 9 1.56 0 120 0 300 20 19 min
#59 516 13 5 2.6 3 381 840 400 0 64 min
#60 13 3 4.33 1 299 220 20 0 14 min
#61 558 13 21 0.62 3 298 20 940 345 63 min
#62 643 13 28 0.46 0 291 20 980 380 64 min
#63 667 13 13 1.0 0 132 840 340 235 64 min
#64 623 13 9 1.44 0 120 240 360 30 37 min
#65 705 13 14 0.93 0 115 440 60 80 31 min
#66 718 12 9 1.33 1 287 20 1,320 40 64 min
#67 521 12 12 1.0 4 251 180 680 5 64 min
#68 754 12 13 0.92 3 182 0 540 240 35 min
#69 398 12 21 0.57 1 123 100 1,000 405 64 min
#70 483 12 19 0.63 0 115 80 620 15 38 min
#71 12 2 6.0 0 113 0 280 100 15 min
#72 509 12 17 0.71 0 109 360 160 83 42 min
#73 1110 12 7 1.71 0 103 0 1,180 4,003 64 min
#74 552 11 4 2.75 1 381 580 400 65 53 min
#75 537 11 37 0.3 2 184 500 160 0 64 min
#76 629 10 13 0.77 0 687 800 380 30 64 min
#77 670 10 8 1.25 0 286 20 1,200 10 64 min
#78 694 10 7 1.43 0 127 100 420 0 32 min
#79 431 10 5 2.0 0 115 500 120 0 36 min
#80 555 9 32 0.28 0 230 40 940 230 64 min
#81 899 9 14 0.64 1 212 0 400 20 26 min
#82 509 9 23 0.39 0 167 60 880 115 61 min
#83 762 9 10 0.9 0 133 240 220 20 30 min
#84 641 9 11 0.82 0 79 40 300 300 23 min
#85 611 8 19 0.42 0 731 760 380 250 64 min
#86 667 8 12 0.67 1 184 0 520 100 37 min
#87 680 8 20 0.4 0 176 280 360 10 45 min
#88 522 8 5 1.6 0 140 0 1,000 2,747 60 min
#89 708 8 10 0.8 0 104 0 640 522 35 min
#90 878 7 9 0.78 0 65 280 120 5 33 min
#91 6 10 0.6 0 110 0 220 45 16 min
#92 636 6 21 0.29 0 71 340 220 10 40 min
#93 6 6 1.0 0 62 80 260 240 20 min
#94 504 6 12 0.5 0 52 200 200 0 30 min
#95 636 6 7 0.86 0 50 0 400 5 26 min
#96 5 5 1.0 0 60 40 220 597 15 min
#97 677 4 4 1.0 0 962 340 500 65 63 min
#98 769 4 8 0.5 0 137 440 360 1,856 48 min
#99 503 4 10 0.4 1 69 600 0 30 34 min
#100 470 4 12 0.33 1 60 20 1,120 480 67 min
#101 4 7 0.57 0 49 20 220 35 18 min
#102 4 3 1.33 0 42 0 180 0 11 min
#103 795 4 11 0.36 0 37 220 140 0 29 min
#104 631 3 16 0.19 0 83 240 100 0 27 min
#105 3 2 1.5 0 76 20 80 5 6 min
#106 3 2 1.5 2 57 0 180 0 12 min
#107 3 9 0.33 0 42 180 0 0 14 min
#108 536 3 7 0.43 0 38 0 420 245 28 min
#109 704 3 16 0.19 0 36 0 600 190 38 min
#110 520 3 7 0.43 0 24 140 180 15 23 min
#111 3 8 0.38 0 23 320 0 75 19 min
#112 435 2 21 0.1 0 203 40 520 30 47 min
#113 671 2 8 0.25 0 37 160 0 0 23 min
#114 606 2 15 0.13 0 30 160 180 75 33 min
#115 2 5 0.4 0 26 0 180 0 12 min
#116 2 2 1.0 0 21 0 40 0 4 min
#117 2 2 1.0 0 17 120 20 0 10 min
#118 2 0 2.0 0 16 0 80 0 7 min
#119 2 5 0.4 0 15 300 0 0 16 min
#120 636 1 7 0.14 0 120 0 820 110 52 min
#121 463 1 11 0.09 0 107 80 340 0 28 min
#122 425 1 18 0.06 1 36 880 240 40 64 min
#123 1 10 0.1 1 27 240 0 135 17 min
#124 764 1 15 0.07 0 24 640 320 45 61 min
#125 1 3 0.33 0 21 0 20 5 3 min
#126 1 13 0.08 0 15 280 0 0 18 min
#127 1 4 0.25 0 15 0 120 0 10 min
#128 1 3 0.33 0 14 0 100 0 9 min
#129 1 2 0.5 0 13 40 160 0 14 min
#130 1 9 0.11 0 12 140 0 10 19 min
#131 1 4 0.25 0 8 60 60 0 8 min
#132 1 2 0.5 0 4 20 0 0 18 min
#133 646 0 3 0.0 1 1,121 520 500 240 63 min
#134 558 0 5 0.0 0 373 820 400 70 64 min
#135 0 1 0.0 0 9 40 0 0 2 min
#136 0 2 0.0 0 9 80 0 25 6 min
#137 0 4 0.0 0 8 60 0 90 4 min
#138 0 9 0.0 0 7 320 0 0 20 min
#139 0 8 0.0 0 5 0 220 0 15 min
#140 0 4 0.0 0 4 60 80 0 11 min
#141 0 3 0.0 0 4 220 0 0 14 min
#142 0 9 0.0 1 3 160 0 125 13 min
#143 0 1 0.0 0 3 0 60 0 5 min
#144 0 1 0.0 0 2 0 20 0 0 min
#145 0 4 0.0 0 1 20 80 10 9 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 0 0 0.0 0 0 0 0 0 1 min
#148 0 0 0.0 0 0 0 0 0 64 min
#149 0 1 0.0 0 0 0 20 0 4 min
#150 0 0 0.0 0 0 0 0 0 1 min
#151 0 0 0.0 0 0 0 0 0 10 min
#152 0 0 0.0 0 0 0 0 0 0 min
#153 0 1 0.0 0 0 0 60 0 6 min
#154 0 0 0.0 0 0 0 0 0 64 min
#155 0 0 0.0 0 0 0 0 0 1 min
#156 0 0 0.0 0 0 0 0 0 0 min
#157 0 0 0.0 0 0 0 0 0 0 min
#158 0 0 0.0 0 0 0 0 0 2 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 0 0.0 0 0 0 0 0 0 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 3 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 1 min
#169 0 1 0.0 0 0 20 0 0 5 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 0 3 0.0 0 0 0 100 225 14 min
#172 0 1 0.0 0 0 0 0 0 1 min
#173 0 0 0.0 0 0 0 100 0 4 min
#174 0 0 0.0 0 0 0 0 0 0 min
#175 0 0 0.0 0 0 0 0 0 0 min
#176 0 0 0.0 0 0 0 0 0 0 min
#177 0 0 0.0 0 0 0 200 0 12 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 0 0 0 0 min
#181 0 2 0.0 0 0 0 120 0 8 min
#182 0 0 0.0 0 0 0 0 0 0 min