elalamein_offensive_ger

El Alamein Offensive Day DAK attack

19.05.2026 09:47 | ③︱THE CIRCLE #3︱OFFENSIVE

Result

4:1

Axis wins

Players

197

Total Kills

2,225

Allied Kills

1,155

Axis Kills

1,070

Match Duration

74 min

Kills/Min

30.1

High Match ELO

Allies 1342.0 (all: 896.0)
Ø Match 1222.0
Axis 1102.0 (all: 857.0)
Highly imbalanced

Player Statistics (197)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 684 74 8 9.25 0 1,576 620 660 140 69 min
#2 828 71 5 14.2 7 1,996 520 760 120 69 min
#3 2226 66 22 3.0 0 1,083 20 580 65 39 min
#4 1072 64 23 2.78 0 746 620 560 50 72 min
#5 1208 55 29 1.9 0 835 40 980 420 69 min
#6 1279 48 19 2.53 0 614 660 260 35 60 min
#7 1233 44 15 2.93 0 1,177 960 300 232 69 min
#8 850 44 24 1.83 0 495 720 440 50 71 min
#9 1348 42 16 2.62 0 802 120 760 75 52 min
#10 1303 39 20 1.95 0 818 60 860 180 58 min
#11 960 37 23 1.61 0 620 620 520 25 69 min
#12 1083 36 27 1.33 0 400 860 180 400 69 min
#13 787 35 36 0.97 1 545 40 920 185 72 min
#14 1642 34 14 2.43 0 478 100 480 175 35 min
#15 1072 34 20 1.7 2 376 80 1,160 4,316 69 min
#16 983 33 35 0.94 0 910 40 840 370 69 min
#17 822 32 7 4.57 1 797 80 720 235 46 min
#18 994 32 22 1.45 0 532 100 1,100 535 69 min
#19 1067 31 27 1.15 0 495 620 540 90 69 min
#20 975 31 23 1.35 0 465 0 1,020 2,026 69 min
#21 900 31 31 1.0 1 448 120 1,000 95 69 min
#22 945 31 31 1.0 0 417 0 860 320 60 min
#23 1097 30 9 3.33 0 465 0 580 30 32 min
#24 1142 29 42 0.69 0 951 860 140 165 69 min
#25 858 29 36 0.81 0 577 680 140 95 69 min
#26 741 28 5 5.6 4 1,648 660 640 25 69 min
#27 941 28 33 0.85 0 415 800 320 850 69 min
#28 1061 27 23 1.17 0 385 60 980 85 70 min
#29 1083 27 28 0.96 0 340 540 520 1,103 66 min
#30 783 27 21 1.29 0 274 20 1,020 775 70 min
#31 684 27 32 0.84 0 247 660 380 683 69 min
#32 878 26 35 0.74 0 553 840 120 185 66 min
#33 952 26 16 1.62 0 308 0 840 20 53 min
#34 1043 25 22 1.14 0 569 0 900 0 58 min
#35 917 25 20 1.25 0 427 720 340 480 69 min
#36 1204 25 16 1.56 0 402 0 600 80 42 min
#37 786 25 27 0.93 1 391 720 400 415 69 min
#38 893 24 15 1.6 0 364 660 160 435 63 min
#39 1163 24 22 1.09 0 299 80 880 300 59 min
#40 639 24 16 1.5 0 239 100 800 35 69 min
#41 949 24 42 0.57 0 227 20 1,000 145 69 min
#42 956 23 19 1.21 0 970 760 360 365 66 min
#43 1061 23 18 1.28 1 440 680 100 360 52 min
#44 633 22 6 3.67 0 403 20 1,140 35 68 min
#45 744 22 25 0.88 0 350 720 260 1,279 64 min
#46 784 22 30 0.73 2 314 480 520 320 66 min
#47 693 21 24 0.88 0 336 760 140 145 62 min
#48 1075 20 22 0.91 0 272 0 1,180 3,511 69 min
#49 786 20 17 1.18 6 190 720 360 535 69 min
#50 932 19 16 1.19 0 468 420 180 225 45 min
#51 909 19 29 0.66 0 231 40 580 15 47 min
#52 938 18 6 3.0 0 311 0 440 165 38 min
#53 914 18 14 1.29 1 222 400 200 120 47 min
#54 956 18 20 0.9 1 185 20 580 10 66 min
#55 746 17 14 1.21 0 184 100 340 125 33 min
#56 1226 16 28 0.57 1 1,030 680 120 110 55 min
#57 1096 16 8 2.0 0 302 420 40 315 28 min
#58 16 1 16.0 0 103 0 280 185 18 min
#59 1011 15 32 0.47 0 614 800 240 3,975 69 min
#60 1008 15 39 0.38 2 608 640 340 1,604 69 min
#61 774 15 39 0.38 0 338 0 860 490 62 min
#62 993 15 9 1.67 0 255 600 80 350 44 min
#63 982 15 17 0.88 0 206 0 580 160 38 min
#64 945 15 13 1.15 0 190 0 640 240 42 min
#65 1020 14 3 4.67 2 371 620 420 3,650 53 min
#66 828 14 42 0.33 0 360 600 180 80 72 min
#67 1001 14 11 1.27 0 170 80 280 10 28 min
#68 1021 13 23 0.57 2 297 0 1,180 1,818 72 min
#69 815 12 22 0.55 0 569 120 1,020 376 65 min
#70 630 12 24 0.5 1 157 120 1,000 190 72 min
#71 727 12 4 3.0 0 129 80 320 55 27 min
#72 932 11 19 0.58 0 223 680 180 2,385 53 min
#73 981 11 4 2.75 0 154 180 160 5 21 min
#74 643 10 3 3.33 0 137 0 320 20 30 min
#75 635 10 15 0.67 1 102 0 920 961 56 min
#76 932 9 19 0.47 0 140 440 120 280 42 min
#77 9 2 4.5 0 119 0 280 0 18 min
#78 512 9 20 0.45 0 107 0 1,160 741 69 min
#79 673 8 33 0.24 5 230 580 180 295 65 min
#80 696 8 26 0.31 0 154 520 440 1,385 66 min
#81 846 8 13 0.62 1 98 0 400 335 29 min
#82 655 8 5 1.6 0 74 300 0 25 21 min
#83 828 7 10 0.7 0 877 600 580 140 69 min
#84 889 7 21 0.33 0 250 60 920 497 61 min
#85 702 7 9 0.78 5 237 0 420 780 30 min
#86 7 9 0.78 1 161 80 120 880 16 min
#87 770 7 23 0.3 1 110 0 520 355 40 min
#88 683 7 16 0.44 0 104 0 740 80 47 min
#89 886 7 15 0.47 0 89 320 100 160 35 min
#90 764 7 11 0.64 0 87 0 420 735 28 min
#91 624 7 30 0.23 0 77 780 180 105 69 min
#92 698 7 20 0.35 2 75 560 320 230 69 min
#93 545 7 9 0.78 0 73 0 420 100 28 min
#94 776 7 26 0.27 1 58 420 160 320 49 min
#95 602 6 4 1.5 0 515 0 1,360 180 69 min
#96 665 6 19 0.32 1 238 20 1,140 295 69 min
#97 629 5 4 1.25 0 1,940 540 760 300 69 min
#98 804 5 10 0.5 0 551 140 160 165 22 min
#99 830 5 6 0.83 0 195 200 120 0 27 min
#100 5 8 0.62 0 54 120 140 20 20 min
#101 4 6 0.67 0 46 180 140 0 18 min
#102 740 4 12 0.33 0 45 340 120 270 31 min
#103 922 4 6 0.67 0 42 120 240 5 24 min
#104 743 3 35 0.09 0 197 820 220 2,080 69 min
#105 967 3 24 0.12 0 127 260 180 105 33 min
#106 3 2 1.5 0 102 0 120 5 7 min
#107 550 3 17 0.18 2 43 760 460 1,135 69 min
#108 3 7 0.43 0 41 120 40 60 15 min
#109 3 3 1.0 0 38 120 140 35 18 min
#110 661 2 17 0.12 1 43 0 840 2,505 64 min
#111 896 2 0 2.0 0 21 20 180 130 22 min
#112 2 4 0.5 0 19 0 60 0 8 min
#113 2 3 0.67 0 18 80 180 105 13 min
#114 2 3 0.67 0 15 0 160 75 12 min
#115 2 2 1.0 3 14 0 60 15 6 min
#116 507 1 10 0.1 0 160 500 320 704 50 min
#117 1 5 0.2 0 42 120 20 0 12 min
#118 1 2 0.5 0 33 0 180 5 9 min
#119 1 2 0.5 0 21 0 100 10 5 min
#120 771 1 10 0.1 0 18 280 60 0 30 min
#121 1 3 0.33 0 17 0 100 5 8 min
#122 487 1 6 0.17 0 14 220 160 0 25 min
#123 562 1 3 0.33 0 14 0 420 0 29 min
#124 1 5 0.2 0 13 0 120 0 10 min
#125 1 1 1.0 0 10 0 20 0 1 min
#126 1 4 0.25 0 6 80 140 190 16 min
#127 913 0 6 0.0 0 1,552 680 640 265 69 min
#128 524 0 4 0.0 0 485 0 1,360 85 69 min
#129 0 0 0.0 0 390 40 920 650 0 min
#130 664 0 7 0.0 0 130 0 1,180 355 72 min
#131 518 0 24 0.0 0 65 0 660 220 47 min
#132 0 5 0.0 0 62 0 160 5 9 min
#133 603 0 33 0.0 0 61 740 200 1,175 69 min
#134 0 0 0.0 0 57 80 360 85 25 min
#135 0 1 0.0 0 10 100 0 80 5 min
#136 0 2 0.0 0 9 0 180 10 11 min
#137 0 0 0.0 0 6 40 220 40 18 min
#138 583 0 12 0.0 0 3 60 380 75 41 min
#139 0 1 0.0 0 2 100 0 80 5 min
#140 0 3 0.0 0 2 0 20 0 4 min
#141 0 0 0.0 0 1 0 60 0 5 min
#142 0 0 0.0 0 1 20 0 0 3 min
#143 0 3 0.0 0 1 80 0 75 9 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 0 0.0 0 0 0 0 0 0 min
#146 0 2 0.0 0 0 0 140 75 10 min
#147 0 1 0.0 0 0 0 140 0 11 min
#148 0 0 0.0 0 0 0 0 0 2 min
#149 0 0 0.0 0 0 0 0 0 2 min
#150 0 0 0.0 0 0 0 0 0 0 min
#151 0 0 0.0 0 0 0 0 0 0 min
#152 0 0 0.0 0 0 0 0 0 4 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 0 0 4 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 0 min
#161 0 0 0.0 0 0 0 0 0 0 min
#162 0 0 0.0 0 0 0 0 0 2 min
#163 0 0 0.0 0 0 0 0 0 0 min
#164 0 1 0.0 0 0 0 20 0 3 min
#165 0 1 0.0 0 0 0 140 0 10 min
#166 0 0 0.0 0 0 0 0 0 1 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 2 0.0 0 0 0 40 140 5 min
#169 0 0 0.0 0 0 0 0 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 2 min
#172 0 0 0.0 0 0 0 0 0 1 min
#173 0 0 0.0 0 0 0 0 0 0 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 1 min
#177 0 0 0.0 0 0 0 0 0 69 min
#178 0 0 0.0 0 0 0 0 0 0 min
#179 0 0 0.0 0 0 0 0 0 1 min
#180 0 0 0.0 0 0 0 0 0 1 min
#181 0 4 0.0 0 0 140 0 225 13 min
#182 0 0 0.0 0 0 0 0 0 3 min
#183 0 0 0.0 0 0 0 0 0 3 min
#184 0 0 0.0 0 0 0 0 0 3 min
#185 0 0 0.0 0 0 0 0 0 7 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
#188 0 0 0.0 0 0 0 0 0 18 min
#189 0 0 0.0 0 0 0 0 0 69 min
#190 0 0 0.0 0 0 0 0 0 69 min
#191 0 0 0.0 0 0 0 0 0 1 min
#192 0 0 0.0 0 0 0 0 0 10 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 69 min
#197 0 0 0.0 0 0 0 0 0 0 min