籃球競賽數據分析之探討

A study of basketball analytics

10.6223/qcpe.202012_34(4).0001

張友謙(Yu-Chien Chang)；林怡秀(Yi-Hsiu Lin)

籃球 ； 競賽表現 ； 競技策略 ； 運動數據分析 ； 分析指標 ； basketball ； competition performance ； competitive strategy ； sports analytics ； metrics

中華體育季刊

34卷4期（2020 / 12 / 01）

219 - 228

繁體中文

近年來，數據分析成為世界的發展潮流，其中運動數據分析更是在國內外都受到相當程度的重視，在競賽場域上，數據分析的應用能夠幫助團隊及運動員增進競賽成績，並協助教練與團隊決策者擬定出更多元的競技策略，更能成為競賽經驗的輔助工具。本文以籃球運動為範疇，透過蒐集國內外專家學者在籃球數據分析研究中提出的看法，整理研究結果與其應用領域，並探討籃球數據分析的意義與分類方式。綜合相關文獻探討，本文依分析目的將籃球數據分析之應用分成5類：一、探討球隊與球員競賽表現；二、探討球隊勝負因素；三、探討場上節奏與空間；四、探討場上動態事件；五、探討指標是否具有衡量價值。本文期望對未來籃球運動數據分析研究，提供學術界和實務界之應用價值。

In recent years, data analysis has become the development trend of sports industry especially and sports analytics is highly valued around the world. In order to increase competition, sports analytics can not only help sport teams and athletes improve performances, but also assist coaches and decision makers to develop multiple competitive strategies. Furthermore, sports analytics become an auxiliary tool for competition experience. This paper summarizes the roles and applications of worldwide studies on basketball analytics. It then further investigates the meaning and the classification issues in basketball analytics. In conclusion, this paper divides basketball analytics into 5 categories. 1. Exploring the performance of teams and players; 2. Exploring the winning and losing factors; 3. Exploring rhythm and space; 4. Exploring the dynamic factors in basketball games; 5. Exploring whether the indicators have measurable value.

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