purpleheartlane_warfare

purpleheartlane_warfare

20.11.2025 22:11 | Comunidad_Hispana_3

Result

2:3

Allied wins

Players

198

Total Kills

2,286

Allied Kills

1,156

Axis Kills

1,114

Match Duration

90 min

Kills/Min

25.4

High Match ELO

Allies 1178.0 (all: 809.0)
Ø Match 1279.0
Axis 1380.0 (all: 816.0)
Highly imbalanced

Player Statistics (198)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1378 137 25 5.48 0 1,455 460 980 75 85 min
#2 1132 96 15 6.4 6 786 0 1,360 320 76 min
#3 1610 94 31 3.03 0 1,316 700 460 825 75 min
#4 1201 79 37 2.14 0 821 100 1,120 100 85 min
#5 706 72 6 12.0 2 1,949 180 1,480 395 85 min
#6 826 63 6 10.5 7 480 0 880 40 48 min
#7 1077 51 39 1.31 0 623 120 1,180 255 85 min
#8 1005 50 31 1.61 0 633 140 1,240 130 85 min
#9 1117 46 37 1.24 0 602 480 340 525 56 min
#10 995 46 35 1.31 0 492 240 1,040 1,391 85 min
#11 1095 43 33 1.3 0 486 180 1,100 1,226 80 min
#12 966 42 9 4.67 6 1,777 1,120 340 3,261 80 min
#13 1077 41 14 2.93 0 825 900 520 200 80 min
#14 1353 40 20 2.0 1 645 420 440 903 67 min
#15 1193 36 22 1.64 0 391 340 340 45 50 min
#16 1375 35 6 5.83 2 413 20 1,220 1,994 69 min
#17 35 10 3.5 0 373 200 280 0 131 min
#18 796 34 4 8.5 0 1,121 280 500 495 45 min
#19 736 34 18 1.89 0 568 340 920 55 85 min
#20 815 33 10 3.3 0 349 220 540 25 42 min
#21 1807 32 5 6.4 0 813 420 260 100 37 min
#22 882 31 33 0.94 0 532 220 600 35 66 min
#23 1116 30 9 3.33 0 2,082 220 1,340 75 84 min
#24 561 27 16 1.69 0 331 200 960 65 67 min
#25 687 26 22 1.18 0 824 480 880 385 85 min
#26 1114 26 17 1.53 0 430 140 680 65 54 min
#27 820 26 31 0.84 0 348 400 700 355 72 min
#28 1035 25 30 0.83 2 523 500 940 1,220 85 min
#29 747 24 26 0.92 1 369 640 480 285 70 min
#30 848 23 12 1.92 0 400 180 1,400 3,170 85 min
#31 755 23 37 0.62 3 393 640 640 1,205 85 min
#32 1095 23 28 0.82 0 322 660 520 1,057 72 min
#33 892 22 36 0.61 1 355 460 700 430 85 min
#34 993 22 23 0.96 0 237 480 620 795 70 min
#35 934 21 17 1.24 1 369 160 1,340 1,163 85 min
#36 770 21 16 1.31 0 208 160 560 30 47 min
#37 1138 20 14 1.43 0 483 280 360 135 44 min
#38 912 20 4 5.0 0 226 180 380 40 34 min
#39 1387 19 19 1.0 0 212 0 420 632 30 min
#40 1079 18 13 1.38 0 329 0 300 25 27 min
#41 516 17 13 1.31 1 261 0 1,080 230 85 min
#42 842 17 12 1.42 0 250 60 520 130 37 min
#43 733 17 26 0.65 1 218 340 820 155 85 min
#44 17 27 0.63 1 200 160 980 160 0 min
#45 769 16 18 0.89 0 522 240 560 115 54 min
#46 736 16 24 0.67 1 234 440 300 240 52 min
#47 761 16 11 1.45 1 214 300 40 305 26 min
#48 16 0 16.0 2 134 0 160 450 15 min
#49 814 15 39 0.38 8 315 280 640 83 73 min
#50 683 15 38 0.39 0 292 660 580 165 85 min
#51 669 15 41 0.37 0 271 420 760 449 85 min
#52 812 14 22 0.64 0 159 260 660 25 85 min
#53 1081 13 16 0.81 1 1,514 580 900 1,385 85 min
#54 766 13 26 0.5 1 463 140 1,200 2,100 85 min
#55 710 13 17 0.76 0 335 760 240 315 60 min
#56 488 13 11 1.18 0 166 220 800 146 60 min
#57 1033 12 15 0.8 0 1,231 800 180 50 57 min
#58 805 12 21 0.57 0 830 600 200 25 66 min
#59 968 12 12 1.0 0 208 0 380 130 27 min
#60 1014 12 14 0.86 0 176 200 240 10 34 min
#61 646 11 14 0.79 0 478 0 1,000 105 57 min
#62 980 11 21 0.52 0 344 300 520 531 53 min
#63 749 11 16 0.69 1 266 180 780 590 69 min
#64 573 11 35 0.31 1 201 460 600 240 85 min
#65 1144 11 8 1.38 5 193 140 780 30 86 min
#66 613 11 13 0.85 0 136 260 620 130 53 min
#67 531 10 19 0.53 2 911 240 1,120 1,966 85 min
#68 1413 10 11 0.91 0 289 80 320 5 28 min
#69 1011 10 10 1.0 0 282 220 100 175 21 min
#70 725 10 27 0.37 0 157 500 880 1,260 85 min
#71 722 10 12 0.83 0 124 280 340 90 39 min
#72 495 10 22 0.45 0 115 320 680 25 68 min
#73 10 14 0.71 0 113 240 260 25 121 min
#74 10 9 1.11 0 107 80 100 0 14 min
#75 597 9 6 1.5 0 326 780 40 10 48 min
#76 562 9 25 0.36 0 111 260 620 95 62 min
#77 1134 8 13 0.62 0 1,274 960 160 658 65 min
#78 543 8 25 0.32 1 104 200 1,260 1,558 85 min
#79 1167 8 10 0.8 1 82 60 200 248 20 min
#80 7 6 1.17 0 175 0 120 0 13 min
#81 825 7 11 0.64 0 121 100 160 5 22 min
#82 7 18 0.39 0 115 460 340 400 0 min
#83 7 7 1.0 0 99 20 180 15 16 min
#84 568 7 13 0.54 0 73 160 600 160 49 min
#85 7 3 2.33 0 68 20 120 0 9 min
#86 492 7 9 0.78 0 66 0 640 0 124 min
#87 664 6 10 0.6 0 118 280 300 25 35 min
#88 620 6 17 0.35 7 116 440 360 100 60 min
#89 567 6 17 0.35 0 83 580 840 260 85 min
#90 645 6 22 0.27 0 77 280 540 10 53 min
#91 449 6 34 0.18 0 67 520 580 0 75 min
#92 6 13 0.46 0 59 100 120 209 18 min
#93 699 5 9 0.56 1 1,804 500 1,140 190 86 min
#94 448 5 15 0.33 0 141 220 660 0 56 min
#95 5 1 5.0 0 87 0 60 0 3 min
#96 5 3 1.67 2 85 200 60 154 16 min
#97 604 5 28 0.18 0 67 360 980 1,347 85 min
#98 946 5 2 2.5 0 45 0 240 70 21 min
#99 5 2 2.5 0 44 200 60 5 16 min
#100 619 4 24 0.17 0 94 320 840 355 73 min
#101 826 4 4 1.0 0 65 360 240 0 35 min
#102 487 4 14 0.29 0 56 640 200 75 139 min
#103 4 8 0.5 0 50 380 160 120 121 min
#104 546 4 8 0.5 0 49 220 100 230 24 min
#105 535 4 16 0.25 0 45 140 600 170 47 min
#106 446 4 28 0.14 0 40 820 540 15 88 min
#107 505 4 26 0.15 0 38 240 760 1,124 73 min
#108 811 4 8 0.5 0 38 140 120 0 20 min
#109 4 3 1.33 0 30 140 100 0 16 min
#110 498 3 29 0.1 3 75 80 1,260 688 85 min
#111 685 3 11 0.27 1 69 60 560 252 39 min
#112 3 10 0.3 0 40 60 300 0 111 min
#113 3 2 1.5 0 39 0 120 25 9 min
#114 527 3 17 0.18 1 39 160 440 130 45 min
#115 565 3 7 0.43 0 34 180 120 25 21 min
#116 3 5 0.6 0 30 60 100 75 17 min
#117 3 3 1.0 0 28 80 0 0 5 min
#118 625 3 15 0.2 0 23 340 300 606 42 min
#119 739 2 8 0.25 0 128 180 140 20 25 min
#120 2 6 0.33 0 70 80 120 0 17 min
#121 2 8 0.25 0 67 140 80 0 18 min
#122 432 2 12 0.17 1 39 360 100 80 32 min
#123 564 2 17 0.12 0 38 140 780 245 53 min
#124 658 2 10 0.2 0 34 300 0 795 23 min
#125 2 9 0.22 0 30 0 220 80 15 min
#126 2 3 0.67 0 23 100 60 55 11 min
#127 2 2 1.0 0 19 0 120 5 18 min
#128 2 4 0.5 0 19 0 180 0 17 min
#129 2 5 0.4 1 16 120 20 75 11 min
#130 1062 1 8 0.12 1 1,742 180 1,420 2,345 85 min
#131 747 1 15 0.07 0 336 0 1,180 30 74 min
#132 426 1 24 0.04 0 171 160 380 65 39 min
#133 601 1 7 0.14 3 157 120 800 5 59 min
#134 537 1 20 0.05 0 63 200 280 10 36 min
#135 1 3 0.33 2 31 0 300 761 17 min
#136 1 6 0.17 0 26 0 180 0 11 min
#137 425 1 21 0.05 0 23 140 300 50 37 min
#138 1 6 0.17 0 18 0 240 815 14 min
#139 1 0 1.0 0 15 0 20 0 6 min
#140 656 1 9 0.11 0 14 120 560 135 43 min
#141 1 4 0.25 0 10 120 40 0 13 min
#142 0 1 0.0 0 86 0 60 0 5 min
#143 628 0 12 0.0 0 40 260 180 190 33 min
#144 536 0 14 0.0 0 11 120 320 10 33 min
#145 0 2 0.0 0 11 0 60 45 3 min
#146 0 2 0.0 0 3 40 0 0 6 min
#147 491 0 2 0.0 0 3 0 180 130 31 min
#148 0 1 0.0 1 3 100 200 0 15 min
#149 0 3 0.0 0 2 20 40 5 6 min
#150 0 2 0.0 0 2 20 100 0 9 min
#151 0 1 0.0 0 1 0 20 0 3 min
#152 0 1 0.0 0 1 0 80 0 5 min
#153 0 1 0.0 0 1 0 0 0 2 min
#154 0 7 0.0 0 1 120 40 0 12 min
#155 0 0 0.0 0 0 0 0 0 0 min
#156 0 0 0.0 0 0 0 0 0 86 min
#157 0 1 0.0 0 0 0 40 0 2 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 1 0.0 0 0 0 0 0 2 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 0 0.0 0 0 0 60 0 2 min
#164 0 0 0.0 0 0 0 0 0 31 min
#165 0 0 0.0 0 0 0 0 0 0 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 0 0.0 0 0 0 0 0 1 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 0 min
#172 0 0 0.0 0 0 0 0 0 0 min
#173 0 0 0.0 0 0 0 0 0 1 min
#174 0 2 0.0 0 0 20 200 10 18 min
#175 0 1 0.0 0 0 20 0 0 3 min
#176 0 0 0.0 0 0 0 0 0 15 min
#177 0 0 0.0 0 0 0 0 0 1 min
#178 0 0 0.0 0 0 0 0 0 2 min
#179 0 0 0.0 0 0 0 0 0 0 min
#180 0 0 0.0 0 0 0 0 0 1 min
#181 0 0 0.0 0 0 0 0 0 0 min
#182 0 0 0.0 0 0 0 0 0 0 min
#183 0 0 0.0 0 0 0 0 0 1 min
#184 0 4 0.0 0 0 40 20 75 0 min
#185 0 0 0.0 0 0 0 0 0 1 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 1 0.0 0 0 20 20 0 4 min
#189 0 1 0.0 0 0 0 20 0 2 min
#190 0 1 0.0 0 0 0 0 0 1 min
#191 0 3 0.0 0 0 20 0 0 3 min
#192 0 1 0.0 0 0 0 60 25 6 min
#193 0 0 0.0 0 0 0 0 0 0 min
#194 0 0 0.0 0 0 0 0 0 3 min
#195 0 1 0.0 0 0 0 20 0 4 min
#196 0 0 0.0 0 0 0 0 0 0 min
#197 0 1 0.0 0 0 0 180 0 10 min
#198 0 3 0.0 0 0 20 20 0 5 min