elalamein_offensive_ger

El Alamein Offensive Day DAK attack

15.07.2026 22:18 | Glow's Battlegrounds :: US Central

Result

5:0

Axis wins

Players

185

Total Kills

1,850

Allied Kills

840

Axis Kills

1,010

Match Duration

63 min

Kills/Min

29.6

Normal Match ELO

Allies 1223.0 (all: 785.0)
Ø Match 1191.0
Axis 1159.0 (all: 847.0)

Player Statistics (185)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1348 71 12 5.92 1 1,658 480 500 4,902 58 min
#2 1193 55 16 3.44 0 644 200 720 514 57 min
#3 1216 55 20 2.75 0 618 540 340 185 58 min
#4 724 50 2 25.0 2 1,126 460 640 40 58 min
#5 820 41 7 5.86 0 419 680 440 50 58 min
#6 1122 39 24 1.62 0 579 840 160 948 58 min
#7 1331 39 6 6.5 0 395 220 820 15 58 min
#8 1496 38 21 1.81 0 444 20 480 25 34 min
#9 1023 36 2 18.0 0 1,011 60 1,000 190 58 min
#10 824 34 15 2.27 5 409 780 240 475 58 min
#11 1108 32 37 0.86 1 475 620 260 1,093 58 min
#12 1601 31 24 1.29 0 428 20 580 115 44 min
#13 1087 30 15 2.0 0 1,058 840 100 50 53 min
#14 991 30 22 1.36 0 420 0 780 20 51 min
#15 1138 30 20 1.5 0 310 500 120 0 45 min
#16 710 29 11 2.64 2 306 0 1,100 3,783 58 min
#17 907 28 22 1.27 1 557 800 140 215 58 min
#18 1232 27 25 1.08 0 508 0 660 493 43 min
#19 838 26 9 2.89 0 429 260 500 5 51 min
#20 804 26 18 1.44 0 255 20 960 1,028 60 min
#21 1028 25 26 0.96 0 247 180 560 95 49 min
#22 915 24 25 0.96 1 417 600 140 380 58 min
#23 861 23 21 1.1 0 618 760 140 165 58 min
#24 717 23 22 1.05 0 274 60 920 509 60 min
#25 807 23 16 1.44 0 223 680 120 330 58 min
#26 732 22 7 3.14 2 461 80 440 80 33 min
#27 1061 22 16 1.38 0 265 100 960 0 61 min
#28 937 22 3 7.33 1 197 100 400 5 33 min
#29 807 21 19 1.11 0 358 60 880 60 57 min
#30 811 20 15 1.33 2 690 360 620 105 58 min
#31 784 20 17 1.18 0 248 80 900 130 61 min
#32 20 2 10.0 0 213 60 160 15 12 min
#33 615 20 33 0.61 0 194 0 780 1,405 54 min
#34 1042 19 3 6.33 1 984 440 640 115 58 min
#35 997 19 10 1.9 3 678 360 480 180 50 min
#36 630 19 27 0.7 0 262 140 800 85 61 min
#37 19 5 3.8 0 247 0 300 175 17 min
#38 635 19 20 0.95 0 234 40 820 85 58 min
#39 955 19 18 1.06 0 214 20 480 300 36 min
#40 1010 18 25 0.72 0 204 440 280 65 50 min
#41 754 17 19 0.89 1 182 300 640 240 61 min
#42 1058 17 8 2.12 0 151 240 180 10 26 min
#43 804 16 16 1.0 0 251 380 220 140 43 min
#44 768 16 13 1.23 0 248 680 320 425 58 min
#45 691 16 22 0.73 0 234 40 840 70 58 min
#46 752 16 10 1.6 0 162 0 320 75 21 min
#47 991 15 18 0.83 0 975 500 400 1,985 58 min
#48 754 15 13 1.15 0 407 0 980 190 58 min
#49 631 15 19 0.79 1 318 620 180 125 58 min
#50 1500 15 14 1.07 0 274 20 760 1,447 33 min
#51 672 15 19 0.79 0 184 660 260 80 56 min
#52 956 14 30 0.47 0 500 120 720 1,075 58 min
#53 762 14 16 0.88 1 194 0 540 384 38 min
#54 708 14 32 0.44 0 149 600 320 190 58 min
#55 732 14 31 0.45 1 133 0 840 485 58 min
#56 801 14 6 2.33 0 126 320 320 55 40 min
#57 806 13 27 0.48 1 204 680 200 2,375 58 min
#58 643 13 27 0.48 1 130 600 320 230 58 min
#59 787 12 5 2.4 0 167 0 360 80 21 min
#60 12 6 2.0 1 152 0 100 0 8 min
#61 736 12 10 1.2 0 145 40 560 20 36 min
#62 699 12 21 0.57 0 118 620 340 570 58 min
#63 795 11 16 0.69 0 499 0 720 540 44 min
#64 571 10 22 0.45 0 139 20 940 170 60 min
#65 574 10 14 0.71 0 120 160 320 105 33 min
#66 506 10 16 0.62 0 114 20 580 0 40 min
#67 964 10 18 0.56 0 100 400 200 1,425 38 min
#68 799 9 14 0.64 0 580 120 640 60 48 min
#69 922 9 15 0.6 0 193 460 500 2,504 58 min
#70 710 9 11 0.82 0 190 540 260 10 49 min
#71 1303 9 9 1.0 2 144 340 100 85 31 min
#72 833 9 10 0.9 0 95 300 20 0 22 min
#73 1035 9 3 3.0 0 95 0 180 5 20 min
#74 1112 9 18 0.5 0 92 160 120 370 22 min
#75 754 8 11 0.73 0 84 200 280 170 31 min
#76 8 4 2.0 0 71 0 80 0 7 min
#77 831 8 15 0.53 1 66 440 100 393 36 min
#78 695 7 24 0.29 1 521 680 200 195 58 min
#79 681 7 14 0.5 0 262 640 320 285 58 min
#80 561 7 8 0.88 0 138 400 280 185 42 min
#81 562 7 11 0.64 0 104 20 440 45 33 min
#82 7 7 1.0 0 83 0 200 35 17 min
#83 7 2 3.5 0 82 0 180 65 12 min
#84 611 7 17 0.41 1 77 620 340 1,082 58 min
#85 773 7 11 0.64 0 74 180 200 335 28 min
#86 7 5 1.4 0 70 20 140 10 14 min
#87 526 6 16 0.38 0 253 520 300 535 52 min
#88 626 6 5 1.2 0 214 0 320 50 20 min
#89 672 6 19 0.32 0 82 0 980 285 58 min
#90 6 3 2.0 0 58 0 60 0 5 min
#91 824 5 16 0.31 2 227 240 300 230 35 min
#92 720 5 12 0.42 0 100 400 100 85 31 min
#93 806 5 8 0.62 1 98 0 300 90 23 min
#94 546 5 19 0.26 0 74 0 420 235 30 min
#95 456 5 10 0.5 0 66 40 240 5 23 min
#96 565 5 21 0.24 1 57 460 140 155 56 min
#97 5 2 2.5 0 47 0 160 0 18 min
#98 623 4 21 0.19 0 137 40 600 1,050 43 min
#99 1170 4 7 0.57 0 115 40 360 247 25 min
#100 4 8 0.5 0 83 160 40 0 17 min
#101 4 8 0.5 0 78 0 140 300 10 min
#102 604 4 9 0.44 0 73 0 420 160 25 min
#103 4 8 0.5 0 52 0 220 0 14 min
#104 4 4 1.0 1 52 260 40 15 19 min
#105 4 3 1.33 0 52 40 80 5 10 min
#106 688 4 10 0.4 0 51 20 320 60 22 min
#107 578 4 12 0.33 0 50 20 700 1,390 48 min
#108 553 4 11 0.36 0 50 500 120 10 39 min
#109 4 3 1.33 0 34 160 0 0 13 min
#110 802 3 2 1.5 0 938 40 1,040 145 58 min
#111 609 3 7 0.43 0 181 20 840 15 51 min
#112 799 3 20 0.15 0 99 0 980 3,531 58 min
#113 3 10 0.3 0 67 0 220 130 18 min
#114 522 3 21 0.14 0 53 60 780 501 58 min
#115 3 6 0.5 0 31 60 20 45 13 min
#116 3 3 1.0 0 31 0 80 5 3 min
#117 3 1 3.0 0 31 140 0 25 9 min
#118 3 4 0.75 0 28 0 140 0 14 min
#119 842 2 13 0.15 0 110 360 300 1,490 46 min
#120 725 2 4 0.5 0 84 0 360 15 22 min
#121 2 1 2.0 0 65 0 200 475 11 min
#122 764 2 7 0.29 0 52 360 60 15 30 min
#123 587 2 31 0.06 0 45 0 700 200 54 min
#124 716 2 16 0.12 0 39 0 800 310 50 min
#125 2 2 1.0 0 21 0 60 75 5 min
#126 2 2 1.0 0 20 0 120 5 8 min
#127 713 2 29 0.07 0 19 660 180 1,510 56 min
#128 2 5 0.4 0 16 0 200 25 17 min
#129 2 1 2.0 0 14 0 0 0 4 min
#130 2 0 2.0 0 14 20 180 10 16 min
#131 666 1 8 0.12 0 117 20 840 150 58 min
#132 540 1 11 0.09 0 87 40 300 10 25 min
#133 588 1 9 0.11 0 32 0 400 855 27 min
#134 424 1 6 0.17 0 20 80 100 5 23 min
#135 1 2 0.5 0 18 120 40 110 10 min
#136 1 1 1.0 0 12 40 120 0 11 min
#137 1 2 0.5 0 10 0 100 0 8 min
#138 1 2 0.5 0 9 0 80 155 5 min
#139 1 2 0.5 0 8 0 100 0 20 min
#140 1 0 1.0 0 5 20 0 0 5 min
#141 895 0 2 0.0 1 924 400 640 120 58 min
#142 653 0 8 0.0 0 175 20 860 210 51 min
#143 0 2 0.0 0 13 0 60 0 6 min
#144 0 2 0.0 0 12 0 80 5 6 min
#145 0 3 0.0 0 9 0 160 0 12 min
#146 0 1 0.0 0 8 0 60 0 5 min
#147 0 1 0.0 0 4 20 20 0 2 min
#148 0 1 0.0 0 3 0 60 15 5 min
#149 0 0 0.0 0 1 0 20 0 0 min
#150 0 1 0.0 0 1 0 60 0 4 min
#151 0 1 0.0 0 1 0 40 15 5 min
#152 0 0 0.0 0 0 0 0 0 7 min
#153 0 0 0.0 0 0 0 0 0 3 min
#154 0 1 0.0 0 0 0 60 0 5 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 0 min
#158 429 0 2 0.0 1 0 0 320 409 35 min
#159 0 0 0.0 0 0 0 0 0 0 min
#160 0 5 0.0 0 0 0 60 0 4 min
#161 0 2 0.0 1 0 0 20 0 4 min
#162 0 1 0.0 0 0 0 20 10 7 min
#163 0 0 0.0 0 0 0 200 0 13 min
#164 0 0 0.0 0 0 0 0 0 1 min
#165 0 1 0.0 0 0 60 0 75 6 min
#166 0 0 0.0 0 0 0 0 0 0 min
#167 0 0 0.0 0 0 0 40 135 3 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 1 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 1 min
#172 0 0 0.0 0 0 0 120 75 7 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 1 0.0 0 0 0 0 0 6 min
#176 0 3 0.0 0 0 60 0 0 8 min
#177 0 0 0.0 0 0 0 0 0 0 min
#178 0 1 0.0 0 0 0 60 0 6 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 4 0.0 0 0 0 240 0 15 min
#181 0 0 0.0 0 0 0 0 0 1 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 0 min
#184 0 8 0.0 0 0 20 60 30 24 min
#185 0 0 0.0 0 0 0 0 0 1 min