為何投手新秀的評估比打者新秀困難? - 美國職棒
By Valerie
at 2020-03-02T06:23
at 2020-03-02T06:23
Table of Contents
現在這個數據的時代 投手有一堆可以量化的數據來評估
如球速 轉速 出手點 旋轉方向 甚至球路的變化量 都可以被直接量化
反觀打者的評估 現在仍缺少可量化的進階數據
很多球探用語 如揮棒速度 揮棒距離這些 都只是反映球探的愛好而已
然而在預測新秀表現上 似乎投手新秀的發展要遠比打者還難預測
以fWAR為例 去年的打者前十 只有一人沒入選過BA百大 (Ketel Marte)
然而投手前十 卻有四位沒入選過BA百大 (deGrom, Lynn, Morton, Bieber)
相似的情況也出現在獎項票選上
從01年起的MVP裡 只有兩位沒入選過BA百大 (Altuve, Donaldson)
然而沒入選過BA百大卻拿到賽揚獎的投手卻屢見不鮮
(Santana, Webb, Dickey, Kluber, deGrom, Keuchel)
為什麼投手可以量化的數據比較多 但卻有那麼多璞玉沒辦法被球探發覺呢?
--
如球速 轉速 出手點 旋轉方向 甚至球路的變化量 都可以被直接量化
反觀打者的評估 現在仍缺少可量化的進階數據
很多球探用語 如揮棒速度 揮棒距離這些 都只是反映球探的愛好而已
然而在預測新秀表現上 似乎投手新秀的發展要遠比打者還難預測
以fWAR為例 去年的打者前十 只有一人沒入選過BA百大 (Ketel Marte)
然而投手前十 卻有四位沒入選過BA百大 (deGrom, Lynn, Morton, Bieber)
相似的情況也出現在獎項票選上
從01年起的MVP裡 只有兩位沒入選過BA百大 (Altuve, Donaldson)
然而沒入選過BA百大卻拿到賽揚獎的投手卻屢見不鮮
(Santana, Webb, Dickey, Kluber, deGrom, Keuchel)
為什麼投手可以量化的數據比較多 但卻有那麼多璞玉沒辦法被球探發覺呢?
--
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