STA_L_1942_Warfare

STA_L_1942_Warfare

11.03.2026 23:00 | ! ! !GERMAN BATTLEGROUND #2 | NEW PLAYER FRIENDLY | GBG-HLL.COM

Result

3:2

Axis wins

Players

176

Total Kills

1,676

Allied Kills

717

Axis Kills

959

Match Duration

94 min

Kills/Min

17.8

High Match ELO

Allies 1182.0 (all: 762.0)
Ø Match 1265.0
Axis 1348.0 (all: 824.0)
Imbalanced

Player Statistics (176)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1863 82 5 16.4 0 899 460 360 30 43 min
#2 1792 68 18 3.78 0 1,548 560 120 80 42 min
#3 1566 67 18 3.72 0 1,104 600 100 345 42 min
#4 1131 60 2 30.0 0 790 160 1,020 40 66 min
#5 1118 53 20 2.65 0 684 800 800 1,392 89 min
#6 985 46 18 2.56 2 711 160 1,380 4,111 86 min
#7 1094 44 20 2.2 0 815 920 660 770 89 min
#8 828 42 3 14.0 5 815 80 1,660 2,709 89 min
#9 812 33 8 4.12 0 849 80 1,580 30 89 min
#10 661 31 13 2.38 2 576 220 1,380 435 88 min
#11 945 30 7 4.29 0 333 240 320 20 35 min
#12 1115 30 17 1.76 0 267 400 300 155 50 min
#13 749 29 33 0.88 2 407 380 1,100 962 89 min
#14 1487 28 22 1.27 0 390 280 420 910 47 min
#15 1157 27 16 1.69 4 656 220 500 85 48 min
#16 1249 27 27 1.0 0 576 300 360 80 47 min
#17 966 27 20 1.35 0 555 360 380 145 47 min
#18 764 25 32 0.78 1 545 1,060 1,160 1,696 89 min
#19 1517 25 18 1.39 0 541 400 280 110 48 min
#20 766 25 9 2.78 0 214 60 1,620 165 89 min
#21 776 23 25 0.92 0 332 60 1,380 100 89 min
#22 978 22 21 1.05 0 441 340 440 60 47 min
#23 743 22 23 0.96 3 366 840 600 181 92 min
#24 1380 22 14 1.57 0 350 0 460 105 29 min
#25 584 22 21 1.05 0 264 860 680 240 89 min
#26 907 21 20 1.05 0 470 400 220 230 46 min
#27 690 21 29 0.72 0 382 0 1,480 860 89 min
#28 674 20 23 0.87 0 230 960 640 830 89 min
#29 856 19 9 2.11 0 352 520 260 60 46 min
#30 735 19 23 0.83 0 273 40 1,400 287 89 min
#31 921 18 26 0.69 0 976 320 1,120 2,995 89 min
#32 875 18 20 0.9 0 183 200 480 185 45 min
#33 751 17 34 0.5 0 216 320 1,020 268 89 min
#34 656 16 20 0.8 0 297 20 580 565 46 min
#35 782 16 22 0.73 0 179 220 240 310 42 min
#36 764 16 30 0.53 0 168 40 1,000 905 80 min
#37 917 15 13 1.15 0 307 360 420 135 47 min
#38 600 15 15 1.0 0 184 380 840 45 71 min
#39 1050 15 22 0.68 0 181 200 480 1,055 47 min
#40 612 15 7 2.14 1 164 460 280 75 45 min
#41 823 14 19 0.74 0 143 360 300 190 45 min
#42 990 13 10 1.3 0 167 300 380 75 44 min
#43 640 13 10 1.3 0 127 120 380 25 33 min
#44 891 13 14 0.93 0 120 120 840 15 56 min
#45 638 13 24 0.54 0 119 220 260 410 40 min
#46 840 13 10 1.3 0 110 360 200 45 34 min
#47 976 13 10 1.3 0 108 440 260 40 43 min
#48 660 12 7 1.71 0 188 320 520 240 50 min
#49 1162 12 5 2.4 0 105 0 440 80 23 min
#50 550 12 6 2.0 0 97 0 440 5 33 min
#51 1564 11 15 0.73 0 303 100 260 120 25 min
#52 724 11 11 1.0 0 242 240 1,320 2,100 89 min
#53 821 11 11 1.0 0 238 260 440 85 43 min
#54 1119 11 10 1.1 0 183 160 340 110 31 min
#55 589 11 16 0.69 1 134 320 1,260 3,444 89 min
#56 838 11 4 2.75 0 114 340 220 0 31 min
#57 1005 11 21 0.52 0 109 340 320 250 47 min
#58 564 10 22 0.45 0 177 180 1,100 4,400 89 min
#59 730 10 15 0.67 0 147 380 340 5 45 min
#60 840 10 15 0.67 0 137 0 940 623 54 min
#61 596 10 29 0.34 0 98 800 640 1,035 89 min
#62 1035 9 9 1.0 0 151 100 540 1,052 42 min
#63 840 9 12 0.75 0 149 380 420 290 48 min
#64 818 9 11 0.82 0 110 620 240 295 47 min
#65 734 9 8 1.12 0 97 600 200 50 48 min
#66 484 9 24 0.38 0 83 140 480 305 47 min
#67 767 8 7 1.14 0 382 480 380 175 47 min
#68 640 8 15 0.53 2 225 100 1,100 370 77 min
#69 653 8 13 0.62 0 128 20 940 25 54 min
#70 549 8 23 0.35 0 100 100 800 555 58 min
#71 737 8 7 1.14 0 85 500 240 645 43 min
#72 8 2 4.0 0 58 80 160 0 14 min
#73 6 1 6.0 0 176 40 280 0 17 min
#74 737 6 11 0.55 0 163 360 280 355 46 min
#75 1091 6 6 1.0 0 85 0 540 20 31 min
#76 601 6 19 0.32 0 72 660 760 230 86 min
#77 786 6 11 0.55 0 61 360 520 5 53 min
#78 633 6 8 0.75 0 60 320 500 85 49 min
#79 535 6 28 0.21 0 59 80 500 90 47 min
#80 6 4 1.5 1 56 240 60 146 19 min
#81 6 4 1.5 0 55 100 0 15 7 min
#82 6 3 2.0 0 53 40 140 0 16 min
#83 764 5 3 1.67 2 458 0 800 105 41 min
#84 885 5 9 0.56 3 146 140 840 65 58 min
#85 496 5 14 0.36 0 100 120 740 465 58 min
#86 602 5 1 5.0 0 57 0 440 55 24 min
#87 5 9 0.56 0 52 60 60 0 15 min
#88 850 5 7 0.71 0 45 360 180 645 38 min
#89 508 5 5 1.0 0 45 280 60 5 21 min
#90 989 4 9 0.44 0 86 260 60 525 21 min
#91 428 4 8 0.5 0 77 80 460 5 32 min
#92 638 4 9 0.44 1 69 0 640 939 42 min
#93 700 4 8 0.5 0 44 0 460 0 35 min
#94 452 4 23 0.17 0 41 60 560 1,580 47 min
#95 453 4 13 0.31 0 40 120 260 5 28 min
#96 578 4 26 0.15 1 35 860 660 150 89 min
#97 574 4 9 0.44 0 34 240 60 10 21 min
#98 894 3 11 0.27 0 182 600 100 35 43 min
#99 530 3 21 0.14 0 44 80 740 1,310 58 min
#100 670 3 5 0.6 0 37 100 280 5 21 min
#101 592 3 11 0.27 0 25 200 300 0 37 min
#102 731 2 4 0.5 0 176 700 80 120 43 min
#103 1085 2 8 0.25 0 42 40 340 1,130 24 min
#104 544 2 20 0.1 1 32 80 680 225 56 min
#105 445 2 20 0.1 0 23 840 640 1,310 89 min
#106 2 2 1.0 0 16 20 140 0 10 min
#107 2 4 0.5 0 15 0 40 0 3 min
#108 2 1 2.0 0 14 140 40 10 11 min
#109 519 1 5 0.2 0 790 100 1,600 85 89 min
#110 453 1 8 0.12 0 76 0 540 221 61 min
#111 1 3 0.33 0 31 120 0 5 11 min
#112 632 1 4 0.25 0 24 60 500 30 32 min
#113 739 1 8 0.12 0 16 380 440 0 48 min
#114 1 2 0.5 0 15 0 100 0 9 min
#115 1 0 1.0 0 13 120 0 25 7 min
#116 358 1 12 0.08 0 13 300 520 0 58 min
#117 1 6 0.17 0 12 60 160 10 17 min
#118 760 1 11 0.09 0 12 380 320 250 43 min
#119 1 0 1.0 0 11 0 180 0 9 min
#120 540 1 17 0.06 0 10 220 440 685 48 min
#121 475 1 9 0.11 0 8 120 80 0 22 min
#122 501 1 4 0.25 0 8 180 20 75 32 min
#123 721 0 6 0.0 1 137 360 460 85 49 min
#124 0 4 0.0 0 33 0 220 50 17 min
#125 724 0 16 0.0 0 15 400 360 375 55 min
#126 0 4 0.0 0 13 0 80 0 8 min
#127 0 4 0.0 0 11 140 140 150 18 min
#128 453 0 5 0.0 0 10 0 300 0 27 min
#129 557 0 2 0.0 0 10 0 260 0 21 min
#130 430 0 2 0.0 0 7 140 240 0 27 min
#131 0 2 0.0 0 5 0 240 0 13 min
#132 532 0 6 0.0 0 5 100 340 0 31 min
#133 0 0 0.0 0 2 40 140 0 14 min
#134 0 1 0.0 0 2 0 120 0 9 min
#135 0 2 0.0 0 1 100 100 0 13 min
#136 0 1 0.0 0 1 20 0 5 3 min
#137 0 2 0.0 0 1 0 100 0 8 min
#138 0 2 0.0 0 1 20 0 0 6 min
#139 0 0 0.0 0 0 0 40 0 4 min
#140 0 0 0.0 0 0 0 0 0 3 min
#141 0 0 0.0 0 0 0 0 0 0 min
#142 0 0 0.0 0 0 0 80 0 3 min
#143 0 1 0.0 0 0 80 40 75 8 min
#144 0 0 0.0 0 0 0 0 0 0 min
#145 0 0 0.0 0 0 0 0 0 2 min
#146 0 0 0.0 0 0 0 0 0 0 min
#147 0 2 0.0 0 0 0 80 0 8 min
#148 0 0 0.0 0 0 0 40 0 1 min
#149 0 0 0.0 0 0 0 0 0 1 min
#150 0 0 0.0 0 0 0 0 0 1 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 0 min
#154 0 0 0.0 0 0 0 0 0 1 min
#155 0 2 0.0 0 0 0 180 75 13 min
#156 0 1 0.0 0 0 0 0 0 2 min
#157 0 0 0.0 0 0 0 0 0 38 min
#158 0 0 0.0 0 0 0 0 0 0 min
#159 0 0 0.0 0 0 0 40 0 1 min
#160 0 0 0.0 0 0 0 0 0 1 min
#161 0 1 0.0 0 0 0 0 0 1 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 20 0 4 min
#164 0 0 0.0 0 0 0 0 0 2 min
#165 0 0 0.0 0 0 0 0 0 0 min
#166 0 0 0.0 0 0 0 0 0 4 min
#167 0 0 0.0 0 0 0 0 0 0 min
#168 0 0 0.0 0 0 0 0 0 6 min
#169 0 0 0.0 0 0 0 0 0 61 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 2 0.0 0 0 0 40 0 12 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 2 0.0 0 0 40 40 0 7 min
#176 0 4 0.0 0 0 0 180 0 15 min