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博碩士論文 etd-0606118-144119 詳細資訊
Title page for etd-0606118-144119
An extended application of Sportsmetric :How Left-handed and mixed martial arts styles influence Ultimate Fighting Championship outcome
Year, semester
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Date of Exam
Date of Submission
Ultimate Fighting championship, Mixed Martial Arts, Sportsmetric, hand preference and style, odds, logistic regression
本論文已被瀏覽 5835 次,被下載 73
The thesis/dissertation has been browsed 5835 times, has been downloaded 73 times.
綜合格鬥為為一種允許運用各種不同武術的搏擊運動,源起於巴西的Vale Tudo,相較於籃球、棒球等歷史悠久的運動,綜合格鬥年為近20年興起的運動,目前在全球漸漸盛行。隨著科學的進步,許多運動皆借助計量學輔助其訓練,本研究希望能借助計量對總何格鬥進行分析,研究不同慣用手及技巧風格是否會對勝率造成影響,期望能以科學方式佐證,輔助訓練的方式。
The study empirically investigates the factors, including fighters hand preference and mixed martial arts style ( Striker or Middle or Grappler ) , affecting the winning rate of Mixed Martial Arts competitions. We crawled the data of fighters and contests from UFC ( Ultimate Fighting Championship ) official website and some MMA platform website by R Language; we used logistic regression to analyze these data. The results show that left-handed fighters increase their winning rate while they confront right-handed fighters; in addition, the results also indicate that Striker is the worst style in UFC, Striker decrease the winning rate while they confront Middle and Grappler. We also found that the fighters with longer reach, younger age, higher strike and takedown defense rate can increase their winning rate. Furthermore we add odds into our model, turns out it significantly reject H_0, which means we found some factors that aren’t considered by dealer.
目次 Table of Contents
論文審定書 i
誌謝 ii
摘要 iii
Abstract iv
目錄 v
圖次 vii
表次 viii
1.前言 1
1.1研究背景 1
圖1. UFC 2013-2015收入 2
圖2. 2017年運動品牌價值 2
1.2研究動機 3
1.3研究問題 4
2.文獻回顧 5
2.1 mixed martial arts 5
2.2慣用手 6
2.3 臂展長度 13
2.4年齡 14
2.5 賠率 17
3.研究方法 19
3.1前言 19
3.2資料來源 19
3.2.1 美國終極格鬥冠軍賽(UFC)官方網站 19
3.2.2 Sherdog網站 21
3.2.3 BestFightOdds網站 22
3.3變數解釋 22
3.3.1 應變數:比賽勝負 22
3.3.2 主要自變數 23
3.3.3控制變數 24
3.4分析工具 28
3.4.1羅吉斯迴歸模型(Logistic Regression Model) 28
4.研究結果 30
4.1敘述統計 30
4.1.1選手資料集 30
4.1.2比賽資料集 33
4.2 Correlation table 37
4.3羅吉斯回歸分析 38
5.結論 42
5.1研究結論與建議 42
5.1.1先天因素 42
5.1.2後天因素 42
5.1.3賠率因素 43
5.2研究限制與未來方向 43
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