STA_L_1942_Warfare

STA_L_1942_Warfare

03.01.2026 00:13 | Vanguarda_2

Result

4:1

Axis wins

Players

177

Total Kills

2,391

Allied Kills

1,053

Axis Kills

1,338

Match Duration

92 min

Kills/Min

26.1

High Match ELO

Allies 1273.0 (all: 799.0)
Ø Match 1368.0
Axis 1463.0 (all: 900.0)
Imbalanced

Player Statistics (177)

Rank Player ELO Kills Deaths K/D TK Combat Offense Defense Support Time Details
#1 1596 88 28 3.14 1 1,433 540 880 1,107 87 min
#2 831 87 30 2.9 0 1,002 460 720 265 88 min
#3 1581 77 40 1.93 0 1,953 920 440 330 87 min
#4 1558 76 33 2.3 0 1,120 320 1,160 663 87 min
#5 1038 57 55 1.04 1 544 240 1,040 270 88 min
#6 1275 49 31 1.58 2 1,243 600 740 2,102 85 min
#7 1074 46 29 1.59 1 518 100 780 250 88 min
#8 1407 45 26 1.73 0 658 220 940 65 87 min
#9 953 43 36 1.19 0 391 800 340 35 88 min
#10 955 40 6 6.67 2 1,131 220 1,440 50 88 min
#11 1776 40 13 3.08 0 616 500 140 135 42 min
#12 1617 39 18 2.17 0 433 260 540 520 53 min
#13 995 38 27 1.41 0 442 920 580 1,497 88 min
#14 933 36 38 0.95 1 476 280 1,080 1,340 85 min
#15 1377 36 10 3.6 0 289 100 340 25 32 min
#16 1095 35 36 0.97 0 447 380 840 200 87 min
#17 1259 35 10 3.5 1 412 20 840 2,404 51 min
#18 811 34 28 1.21 0 402 480 820 70 88 min
#19 653 33 34 0.97 1 493 280 780 274 86 min
#20 1840 33 9 3.67 0 288 20 360 90 25 min
#21 972 33 25 1.32 0 235 680 280 30 68 min
#22 1117 31 24 1.29 0 653 540 520 602 76 min
#23 947 31 29 1.07 0 434 440 520 50 87 min
#24 917 31 30 1.03 0 425 600 800 70 87 min
#25 542 31 27 1.15 0 410 180 1,100 40 82 min
#26 846 30 30 1.0 1 779 580 620 0 88 min
#27 841 29 13 2.23 0 325 120 980 15 67 min
#28 875 28 45 0.62 4 1,032 920 260 25 88 min
#29 801 28 18 1.56 1 913 300 1,240 4,519 87 min
#30 993 28 33 0.85 1 688 780 580 315 89 min
#31 956 28 10 2.8 0 258 540 1,080 2,701 88 min
#32 832 27 18 1.5 0 251 460 620 205 68 min
#33 766 26 22 1.18 0 363 0 1,260 360 82 min
#34 807 25 23 1.09 0 299 280 1,060 1,049 84 min
#35 742 24 35 0.69 0 339 1,020 340 1,299 87 min
#36 704 24 15 1.6 0 338 480 1,060 755 87 min
#37 653 24 32 0.75 0 295 660 540 195 88 min
#38 906 24 5 4.8 0 222 140 540 5 60 min
#39 770 24 28 0.86 0 199 360 640 165 65 min
#40 1027 23 14 1.64 1 609 220 260 110 32 min
#41 832 23 22 1.05 0 204 940 460 685 88 min
#42 874 23 15 1.53 2 202 220 640 223 55 min
#43 763 23 21 1.1 0 192 500 300 5 78 min
#44 684 22 21 1.05 0 245 140 1,240 350 88 min
#45 1102 22 10 2.2 1 193 400 200 40 36 min
#46 751 21 12 1.75 0 472 20 1,100 60 66 min
#47 873 21 27 0.78 0 195 480 600 30 76 min
#48 535 20 33 0.61 0 223 660 600 90 86 min
#49 19 16 1.19 1 211 120 180 135 0 min
#50 681 18 29 0.62 2 668 660 780 1,678 87 min
#51 1022 18 18 1.0 1 345 420 580 409 66 min
#52 909 18 16 1.12 0 313 400 80 326 34 min
#53 753 18 10 1.8 0 275 0 780 120 48 min
#54 904 18 23 0.78 0 269 860 340 380 87 min
#55 17 4 4.25 0 1,148 220 1,440 90 0 min
#56 799 16 33 0.48 0 395 540 240 20 81 min
#57 926 16 8 2.0 1 346 160 220 142 34 min
#58 719 16 41 0.39 0 150 360 860 1,395 88 min
#59 848 16 16 1.0 0 116 480 240 20 60 min
#60 851 15 19 0.79 0 184 100 1,300 906 87 min
#61 554 15 41 0.37 0 139 420 680 155 88 min
#62 515 14 9 1.56 0 1,574 340 1,920 45 87 min
#63 1304 14 15 0.93 0 273 40 320 35 28 min
#64 729 14 32 0.44 1 260 1,120 260 495 87 min
#65 1335 13 21 0.62 0 685 800 220 1,055 78 min
#66 973 13 6 2.17 0 313 520 220 0 44 min
#67 684 13 9 1.44 0 276 220 820 435 60 min
#68 1108 13 9 1.44 0 243 0 440 555 45 min
#69 440 12 29 0.41 0 384 160 820 20 89 min
#70 705 12 33 0.36 1 358 580 660 3,345 89 min
#71 774 12 11 1.09 0 218 400 360 10 43 min
#72 1539 12 11 1.09 1 207 240 40 5 26 min
#73 774 12 37 0.32 0 175 620 600 60 88 min
#74 697 12 32 0.38 0 112 200 760 0 71 min
#75 544 11 14 0.79 0 141 240 880 248 70 min
#76 466 11 12 0.92 0 98 40 1,960 450 87 min
#77 818 11 17 0.65 0 84 980 520 80 91 min
#78 927 10 9 1.11 1 164 100 220 25 25 min
#79 578 10 11 0.91 0 144 840 760 100 87 min
#80 884 9 16 0.56 0 239 580 240 240 55 min
#81 939 9 12 0.75 0 132 120 340 15 31 min
#82 741 9 14 0.64 0 130 40 520 30 44 min
#83 873 9 22 0.41 0 89 260 280 1,030 46 min
#84 9 9 1.0 0 89 60 80 0 15 min
#85 963 9 10 0.9 0 84 100 220 120 22 min
#86 596 8 17 0.47 0 292 1,220 120 260 88 min
#87 620 8 24 0.33 0 93 660 180 25 83 min
#88 827 8 12 0.67 0 71 80 140 20 22 min
#89 582 8 19 0.42 1 65 480 400 100 58 min
#90 517 7 10 0.7 0 1,674 1,340 440 1,430 78 min
#91 753 7 19 0.37 1 131 200 560 20 49 min
#92 652 7 24 0.29 0 80 20 840 5 59 min
#93 653 7 14 0.5 0 72 40 640 25 47 min
#94 7 2 3.5 0 64 140 0 0 16 min
#95 552 6 15 0.4 0 311 100 660 75 88 min
#96 686 6 10 0.6 0 188 460 420 80 56 min
#97 631 6 16 0.38 0 139 1,340 100 25 87 min
#98 577 6 17 0.35 0 60 280 260 20 39 min
#99 6 1 6.0 0 49 100 0 40 9 min
#100 6 2 3.0 0 46 80 60 10 9 min
#101 692 6 16 0.38 0 45 120 280 65 35 min
#102 6 6 1.0 0 38 180 100 90 19 min
#103 696 5 10 0.5 2 820 160 1,480 300 89 min
#104 683 5 9 0.56 0 157 460 20 5 36 min
#105 654 5 2 2.5 0 151 80 580 105 37 min
#106 5 5 1.0 0 100 200 0 25 16 min
#107 705 5 6 0.83 0 47 120 260 0 22 min
#108 416 5 20 0.25 0 45 920 580 85 89 min
#109 794 5 15 0.33 0 37 180 360 30 41 min
#110 508 4 12 0.33 0 258 180 140 25 29 min
#111 508 4 9 0.44 0 202 440 440 25 58 min
#112 4 10 0.4 0 30 200 180 10 128 min
#113 827 3 14 0.21 1 220 420 960 2,655 89 min
#114 3 4 0.75 1 119 120 0 5 15 min
#115 601 3 12 0.25 0 62 220 720 1,986 60 min
#116 532 3 10 0.3 0 45 480 0 60 49 min
#117 3 7 0.43 0 35 0 260 115 18 min
#118 827 3 11 0.27 0 30 380 180 45 35 min
#119 3 1 3.0 0 26 0 40 0 7 min
#120 3 1 3.0 0 23 0 40 0 4 min
#121 714 3 9 0.33 0 22 200 60 0 20 min
#122 2 1 2.0 0 106 0 340 770 19 min
#123 388 2 34 0.06 0 41 420 520 110 81 min
#124 2 3 0.67 0 19 20 120 0 10 min
#125 2 9 0.22 0 19 40 120 0 15 min
#126 1 5 0.2 0 74 20 760 90 18 min
#127 414 1 23 0.04 0 62 520 720 550 82 min
#128 1 1 1.0 0 58 0 100 150 9 min
#129 1 3 0.33 0 40 40 200 645 16 min
#130 660 1 6 0.17 0 12 100 240 35 23 min
#131 1 2 0.5 0 11 80 0 5 34 min
#132 1 4 0.25 0 10 60 60 5 11 min
#133 1 1 1.0 0 10 0 20 0 3 min
#134 1 2 0.5 0 9 140 0 0 11 min
#135 1 3 0.33 0 8 0 80 0 7 min
#136 697 0 5 0.0 0 786 220 1,060 150 75 min
#137 418 0 4 0.0 2 522 80 740 235 48 min
#138 0 0 0.0 0 228 0 640 25 0 min
#139 0 1 0.0 0 109 20 480 15 32 min
#140 0 5 0.0 0 61 0 280 80 19 min
#141 710 0 3 0.0 0 5 120 640 0 48 min
#142 0 2 0.0 0 4 20 20 0 6 min
#143 0 1 0.0 0 3 20 0 0 4 min
#144 0 2 0.0 0 2 0 180 0 14 min
#145 0 3 0.0 0 2 40 0 10 5 min
#146 0 4 0.0 0 1 180 140 75 18 min
#147 0 2 0.0 0 1 0 120 120 9 min
#148 0 4 0.0 0 1 100 20 0 11 min
#149 0 0 0.0 0 0 0 0 0 0 min
#150 0 0 0.0 0 0 0 0 0 1 min
#151 0 2 0.0 0 0 0 80 0 5 min
#152 0 0 0.0 0 0 0 0 0 3 min
#153 0 0 0.0 0 0 0 0 0 0 min
#154 0 0 0.0 0 0 0 0 0 2 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 3 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 4 0.0 0 0 40 140 0 16 min
#161 0 0 0.0 0 0 0 140 0 0 min
#162 0 0 0.0 0 0 0 0 0 0 min
#163 0 1 0.0 0 0 20 0 0 4 min
#164 0 0 0.0 0 0 0 40 0 5 min
#165 0 0 0.0 0 0 0 0 0 7 min
#166 0 2 0.0 0 0 40 20 0 9 min
#167 0 0 0.0 0 0 0 140 200 0 min
#168 0 0 0.0 0 0 0 0 0 0 min
#169 0 0 0.0 0 0 0 0 0 1 min
#170 0 0 0.0 0 0 0 0 0 2 min
#171 0 0 0.0 0 0 0 0 0 0 min
#172 0 7 0.0 0 0 20 20 0 8 min
#173 0 0 0.0 0 0 0 0 0 0 min
#174 0 3 0.0 0 0 20 80 0 12 min
#175 0 0 0.0 0 0 0 0 0 1 min
#176 0 0 0.0 0 0 0 0 0 2 min
#177 0 0 0.0 0 0 0 0 0 0 min