It seems you misunderstood what I want to point out. My point is while any research or data analysis which cannot aim to win money, we have to modify and make more assumptions to improve. Otherwise, such research or data analysis are meaningless, do you agree ?
意思是 : 若然所做出的研究或數據分析是對贏錢沒有顯見的意義時, 便應更深入剖析, 改良及假設去改善, 否則這些東西便是沒有用處.
11.41% avg odds is 7.28
7.78% avg odds is 10.18
你認為那一個有意思 ? 我倒覺得 2 個均無意思. 按你所述, 一匹馬在同場地同路程輸近再出同場地同路程預計會有表現, 差不多係人都會有這個想法, 有何希冀 ? 只得 1 成多的勝出率兼多數熱門, 全是欠投注價值的東西.
若然你可分辨出那些會 win, 那些會輸, 那才是價值. 即如我先前所述 "make assumptions"; 例如, 將這些馬匹按齡, 厩, 班, 賠率, 騎師等等區分. 假設這個條件隔晚 5 倍以下全勝, 10 倍以上全敗, 那才是意義.