亚太区 Predator 联赛 2022: Bangladesh 预选赛

已结束 -
即将开始

无即将开始的比赛

      战队数据

      比赛场次

      胜率

      平均Roshan击杀

      平均比赛时长

      平均经济差

      平均经验差

      英雄使用数

      钟爱英雄
      1 1 75.0 75.0% 1.0 1.00 2691 44:51 20449 20,449 26985 26,985 15 15 玛西 玛西
      1 1 25.0 25.0% 1.5 1.50 2691 44:51 -20449 -20,449 -26985 -26,985 18 18 獸 獸

      选手数据

      KDA

      输出经济比

      英雄输出

      承受伤害

      No. of Heroes played

      参战率
      6.16 6.16 1.52 1.52 46332 46,332 28891 28,891 4 4 64.64088397790056 64%
      5.89 5.89 1.36 1.36 41758 41,758 33017 33,017 3 3 61.87845303867403 61%
      4.95 4.95 1.77 1.77 41538 41,538 24061 24,061 4 4 67.8082191780822 67%
      4.0 4.00 1.32 1.32 18884 18,884 20277 20,277 4 4 66.29834254143647 66%
      2.84 2.84 1.63 1.63 25980 25,980 27740 27,740 4 4 62.32876712328767 62%
      2.74 2.74 1.46 1.46 24029 24,029 36741 36,741 3 3 63.53591160220994 63%
      2.69 2.69 1.47 1.47 19566 19,566 23577 23,577 3 3 58.011049723756905 58%
      2.26 2.26 1.65 1.65 37379 37,379 55731 55,731 4 4 54.10958904109589 54%
      2.07 2.07 1.86 1.86 20567 20,567 36057 36,057 3 3 65.06849315068493 65%
      1.92 1.92 1.33 1.33 15446 15,446 29656 29,656 3 3 64.38356164383562 64%

      英雄数据

      选择次数

      胜率

      选择率

      禁用率

      平均选择顺位

      平均禁用顺位
      3 3 66.666664 66.7% 75.0 75.0% 0.0 0.0% 2.3333333333333335 2.33 0.0 0.0
      3 3 100.0 100.0% 75.0 75.0% 0.0 0.0% 1.0 1.00 0.0 0.0
      2 2 100.0 100.0% 50.0 50.0% 25.0 25.0% 4.5 4.50 4.0 4.00
      2 2 50.0 50.0% 50.0 50.0% 0.0 0.0% 3.0 3.00 0.0 0.0
      2 2 50.0 50.0% 50.0 50.0% 0.0 0.0% 1.5 1.50 0.0 0.0
      2 2 50.0 50.0% 50.0 50.0% 50.0 50.0% 5.0 5.00 5.5 5.50
      2 2 50.0 50.0% 50.0 50.0% 0.0 0.0% 3.0 3.00 0.0 0.0
      2 2 0.0 0.0% 50.0 50.0% 25.0 25.0% 1.5 1.50 3.0 3.00
      1 1 100.0 100.0% 25.0 25.0% 0.0 0.0% 3.0 3.00 0.0 0.0
      1 1 0.0 0.0% 25.0 25.0% 0.0 0.0% 2.0 2.00 0.0 0.0
      1 1 0.0 0.0% 25.0 25.0% 75.0 75.0% 4.0 4.00 5.0 5.00
      1 1 0.0 0.0% 25.0 25.0% 0.0 0.0% 4.0 4.00 0.0 0.0
      1 1 100.0 100.0% 25.0 25.0% 75.0 75.0% 1.0 1.00 2.0 2.00
      1 1 100.0 100.0% 25.0 25.0% 50.0 50.0% 5.0 5.00 7.0 7.00
      1 1 0.0 0.0% 25.0 25.0% 0.0 0.0% 3.0 3.00 0.0 0.0
      1 1 100.0 100.0% 25.0 25.0% 0.0 0.0% 4.0 4.00 0.0 0.0
      1 1 0.0 0.0% 25.0 25.0% 0.0 0.0% 4.0 4.00 0.0 0.0
      1 1 0.0 0.0% 25.0 25.0% 0.0 0.0% 4.0 4.00 0.0 0.0
      1 1 0.0 0.0% 25.0 25.0% 75.0 75.0% 1.0 1.00 1.3333333333333333 1.33
      1 1 100.0 100.0% 25.0 25.0% 0.0 0.0% 4.0 4.00 0.0 0.0
      1 1 0.0 0.0% 25.0 25.0% 0.0 0.0% 3.0 3.00 0.0 0.0
      1 1 0.0 0.0% 25.0 25.0% 0.0 0.0% 5.0 5.00 0.0 0.0
      1 1 100.0 100.0% 25.0 25.0% 25.0 25.0% 5.0 5.00 7.0 7.00
      1 1 100.0 100.0% 25.0 25.0% 0.0 0.0% 2.0 2.00 0.0 0.0
      1 1 100.0 100.0% 25.0 25.0% 25.0 25.0% 2.0 2.00 3.0 3.00
      1 1 100.0 100.0% 25.0 25.0% 50.0 50.0% 4.0 4.00 3.5 3.50
      1 1 0.0 0.0% 25.0 25.0% 0.0 0.0% 5.0 5.00 0.0 0.0
      1 1 0.0 0.0% 25.0 25.0% 50.0 50.0% 1.0 1.00 1.5 1.50
      1 1 0.0 0.0% 25.0 25.0% 75.0 75.0% 2.0 2.00 3.3333333333333335 3.33
      1 1 0.0 0.0% 25.0 25.0% 50.0 50.0% 5.0 5.00 6.0 6.00
      0 0 0.0 0.0% 0.0 0.0% 25.0 25.0% 0.0 0.0 7.0 7.00
      0 0 0.0 0.0% 0.0 0.0% 100.0 100.0% 0.0 0.0 1.0 1.00
      0 0 0.0 0.0% 0.0 0.0% 50.0 50.0% 0.0 0.0 5.5 5.50
      0 0 0.0 0.0% 0.0 0.0% 100.0 100.0% 0.0 0.0 6.0 6.00
      0 0 0.0 0.0% 0.0 0.0% 100.0 100.0% 0.0 0.0 3.75 3.75
      0 0 0.0 0.0% 0.0 0.0% 50.0 50.0% 0.0 0.0 3.0 3.00
      0 0 0.0 0.0% 0.0 0.0% 100.0 100.0% 0.0 0.0 2.0 2.00
      0 0 0.0 0.0% 0.0 0.0% 75.0 75.0% 0.0 0.0 5.0 5.00
      0 0 0.0 0.0% 0.0 0.0% 50.0 50.0% 0.0 0.0 4.5 4.50
      0 0 0.0 0.0% 0.0 0.0% 50.0 50.0% 0.0 0.0 6.5 6.50
      0 0 0.0 0.0% 0.0 0.0% 25.0 25.0% 0.0 0.0 7.0 7.00
      0 0 0.0 0.0% 0.0 0.0% 25.0 25.0% 0.0 0.0 6.0 6.00