elalamein_offensive_ger

El Alamein Offensive Day DAK attack

29.06.2026 04:02 | Glow's Battlegrounds :: US Central

Result

5:0

Axis wins

Players

187

Total Kills

1,675

Allied Kills

834

Axis Kills

841

Match Duration

71 min

Kills/Min

23.7

Normal Match ELO

Allies 1107.0 (all: 743.0)
Ø Match 1150.0
Axis 1192.0 (all: 796.0)

Player Statistics (187)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 2028 128 7 18.29 0 1,439 320 940 195 66 min
#2 1437 68 23 2.96 0 1,043 680 480 1,213 66 min
#3 912 54 9 6.0 0 1,108 20 1,120 130 66 min
#4 1274 46 17 2.71 0 835 740 240 0 66 min
#5 1072 46 9 5.11 0 746 620 280 40 51 min
#6 1207 38 12 3.17 1 568 320 800 200 66 min
#7 1059 37 11 3.36 0 515 120 960 2,727 59 min
#8 973 37 15 2.47 0 394 40 840 60 52 min
#9 796 36 9 4.0 4 301 0 1,180 420 66 min
#10 976 34 15 2.27 0 585 140 980 952 62 min
#11 773 33 7 4.71 0 542 220 1,040 2,191 66 min
#12 637 29 3 9.67 3 1,075 300 820 110 61 min
#13 546 29 6 4.83 0 601 120 940 0 60 min
#14 593 29 11 2.64 0 337 20 1,040 460 64 min
#15 1021 26 10 2.6 0 243 220 1,020 70 69 min
#16 716 23 17 1.35 2 410 660 460 460 67 min
#17 1023 23 21 1.1 0 353 440 500 165 57 min
#18 607 23 6 3.83 0 272 40 1,020 350 60 min
#19 716 23 24 0.96 1 246 0 820 390 55 min
#20 1786 22 9 2.44 0 633 540 380 200 51 min
#21 1212 22 15 1.47 0 454 200 1,040 1,583 69 min
#22 825 21 14 1.5 0 314 300 620 55 58 min
#23 880 20 22 0.91 1 390 700 440 175 66 min
#24 833 19 11 1.73 0 552 640 520 40 66 min
#25 628 19 21 0.9 0 231 60 760 40 57 min
#26 661 19 28 0.68 0 209 140 980 368 67 min
#27 765 19 7 2.71 0 165 420 700 175 63 min
#28 865 18 23 0.78 0 347 480 560 60 62 min
#29 784 18 19 0.95 0 303 700 420 370 66 min
#30 686 18 23 0.78 0 220 20 1,120 575 69 min
#31 630 17 4 4.25 0 1,036 480 800 55 66 min
#32 858 17 19 0.89 0 471 460 640 106 66 min
#33 914 17 18 0.94 0 225 200 800 55 59 min
#34 894 17 15 1.13 0 189 60 700 90 52 min
#35 845 16 23 0.7 0 354 260 840 75 66 min
#36 886 16 9 1.78 0 293 180 540 10 42 min
#37 627 16 11 1.45 0 277 60 900 0 57 min
#38 757 15 7 2.14 0 338 40 1,040 182 65 min
#39 994 15 5 3.0 0 172 340 120 10 28 min
#40 826 14 14 1.0 0 139 20 520 5 49 min
#41 917 13 21 0.62 1 278 540 520 997 62 min
#42 1094 13 16 0.81 0 211 140 820 2,958 61 min
#43 720 13 32 0.41 0 165 20 980 155 64 min
#44 689 13 11 1.18 0 159 260 860 170 67 min
#45 949 13 21 0.62 0 154 360 320 95 46 min
#46 681 12 30 0.4 1 175 0 820 110 53 min
#47 517 12 25 0.48 0 172 160 820 75 61 min
#48 527 12 14 0.86 0 165 20 1,060 280 68 min
#49 704 11 21 0.52 0 319 420 460 290 55 min
#50 969 11 15 0.73 0 118 0 560 1,515 36 min
#51 694 10 21 0.48 0 643 660 500 170 66 min
#52 706 10 11 0.91 0 437 760 360 334 63 min
#53 907 10 15 0.67 0 274 380 300 230 46 min
#54 797 10 12 0.83 2 209 160 180 10 25 min
#55 587 10 17 0.59 0 174 60 820 170 58 min
#56 824 10 19 0.53 0 173 480 500 490 59 min
#57 880 10 31 0.32 1 145 440 420 115 62 min
#58 639 10 5 2.0 0 101 260 180 55 40 min
#59 794 9 4 2.25 1 1,071 480 780 185 66 min
#60 652 9 23 0.39 0 550 780 360 190 66 min
#61 892 9 16 0.56 0 399 340 520 810 56 min
#62 712 9 18 0.5 0 340 380 80 20 37 min
#63 737 9 8 1.12 0 135 0 300 0 22 min
#64 1109 9 16 0.56 0 124 300 340 1,575 42 min
#65 883 9 9 1.0 0 122 0 680 175 41 min
#66 853 9 9 1.0 0 79 180 300 15 33 min
#67 621 8 18 0.44 0 339 0 1,160 415 66 min
#68 938 8 24 0.33 0 291 680 440 1,236 66 min
#69 558 8 13 0.62 0 215 80 520 80 39 min
#70 549 8 8 1.0 0 139 40 820 10 46 min
#71 550 8 30 0.27 0 136 100 820 50 62 min
#72 8 8 1.0 0 125 100 60 0 12 min
#73 620 8 9 0.89 0 104 480 420 835 56 min
#74 8 1 8.0 0 103 0 220 0 13 min
#75 859 8 20 0.4 0 99 260 560 1,370 65 min
#76 562 8 16 0.5 0 97 320 280 95 40 min
#77 625 8 19 0.42 0 93 20 620 20 45 min
#78 741 8 19 0.42 0 86 520 320 699 53 min
#79 827 7 4 1.75 0 1,018 460 800 200 66 min
#80 997 7 13 0.54 0 387 340 300 155 41 min
#81 539 7 12 0.58 0 192 320 380 70 45 min
#82 508 7 20 0.35 0 95 20 940 60 62 min
#83 884 7 7 1.0 0 70 40 360 0 25 min
#84 665 6 19 0.32 0 207 80 740 322 57 min
#85 659 6 21 0.29 0 161 520 300 315 66 min
#86 677 6 17 0.35 0 113 280 320 305 40 min
#87 721 6 8 0.75 0 83 40 580 30 37 min
#88 746 6 8 0.75 0 75 20 380 15 24 min
#89 6 2 3.0 0 56 0 120 80 7 min
#90 1006 5 11 0.45 0 58 0 320 288 22 min
#91 5 5 1.0 0 50 40 100 155 10 min
#92 5 10 0.5 0 48 0 280 5 17 min
#93 5 2 2.5 0 45 0 280 35 17 min
#94 537 4 3 1.33 0 1,094 300 940 170 64 min
#95 543 4 12 0.33 0 71 300 900 380 66 min
#96 795 4 20 0.2 0 52 520 480 1,785 59 min
#97 4 1 4.0 0 46 0 240 120 13 min
#98 621 4 9 0.44 0 44 280 100 320 26 min
#99 572 4 21 0.19 3 30 320 600 889 60 min
#100 715 3 18 0.17 0 165 360 540 2,082 56 min
#101 449 3 8 0.38 0 95 0 240 10 24 min
#102 749 3 23 0.13 0 81 420 720 764 66 min
#103 351 3 24 0.12 0 72 0 1,020 80 67 min
#104 557 3 17 0.18 0 50 240 400 5 47 min
#105 3 3 1.0 0 49 0 300 25 17 min
#106 3 4 0.75 0 36 0 100 10 13 min
#107 3 4 0.75 0 26 60 80 0 10 min
#108 689 2 6 0.33 1 169 60 660 35 48 min
#109 436 2 9 0.22 0 39 480 600 160 58 min
#110 698 2 14 0.14 1 31 0 1,140 3,724 66 min
#111 2 4 0.5 0 27 0 220 15 20 min
#112 2 6 0.33 0 25 0 160 0 13 min
#113 2 1 2.0 0 20 0 200 0 15 min
#114 722 2 4 0.5 0 19 40 260 55 20 min
#115 545 1 7 0.14 0 458 120 1,120 210 69 min
#116 626 1 8 0.12 0 124 140 180 10 34 min
#117 512 1 3 0.33 0 61 0 400 55 24 min
#118 1 4 0.25 1 28 0 160 0 14 min
#119 484 1 12 0.08 0 24 80 300 0 35 min
#120 1 2 0.5 0 23 560 140 40 13 min
#121 1 4 0.25 0 19 0 60 0 5 min
#122 602 1 16 0.06 0 15 0 320 0 26 min
#123 1 4 0.25 0 12 140 20 0 10 min
#124 1 1 1.0 0 11 0 60 10 3 min
#125 1 1 1.0 0 10 0 0 0 2 min
#126 1 2 0.5 0 10 220 40 0 13 min
#127 1 1 1.0 1 9 0 60 0 6 min
#128 751 1 6 0.17 0 9 120 200 357 27 min
#129 742 0 2 0.0 0 238 80 460 0 29 min
#130 530 0 11 0.0 0 60 280 380 155 41 min
#131 0 6 0.0 0 11 0 180 115 13 min
#132 0 5 0.0 0 8 0 140 150 12 min
#133 617 0 3 0.0 0 3 100 240 0 23 min
#134 453 0 8 0.0 1 1 60 180 75 22 min
#135 582 0 11 0.0 0 1 120 340 95 39 min
#136 0 0 0.0 0 1 0 0 0 1 min
#137 415 0 3 0.0 0 1 0 780 265 46 min
#138 0 2 0.0 0 0 0 60 170 6 min
#139 0 0 0.0 0 0 0 0 0 8 min
#140 0 0 0.0 0 0 0 0 0 1 min
#141 0 0 0.0 0 0 0 0 0 0 min
#142 0 0 0.0 0 0 0 0 0 1 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 0 0 0 min
#146 0 0 0.0 0 0 0 0 0 2 min
#147 0 0 0.0 0 0 0 0 0 0 min
#148 0 0 0.0 0 0 0 0 0 0 min
#149 0 0 0.0 0 0 0 0 0 0 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 0 min
#153 0 0 0.0 0 0 0 0 0 2 min
#154 0 0 0.0 0 0 0 0 0 0 min
#155 0 0 0.0 0 0 0 40 0 3 min
#156 0 1 0.0 0 0 0 0 0 3 min
#157 0 1 0.0 0 0 0 100 10 5 min
#158 0 1 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 5 min
#161 0 0 0.0 0 0 0 0 0 1 min
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#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 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 0 min
#169 0 0 0.0 0 0 20 0 0 1 min
#170 0 0 0.0 0 0 0 0 0 0 min
#171 699 0 4 0.0 0 0 160 100 340 29 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 1 0.0 0 0 0 20 5 2 min
#175 0 0 0.0 0 0 0 0 0 3 min
#176 0 1 0.0 0 0 0 40 0 6 min
#177 0 0 0.0 0 0 0 0 0 0 min
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#187 0 0 0.0 0 0 0 0 0 0 min