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| Title: | 棒球投手投球策略的視覺化分析
Visual Analytics of Baseball Pitching Strategy |
| Authors: | 徐瑄甫
Hsu, Hsuan-Fu |
| Contributors: | 紀明德
Chi, Ming-Te
徐瑄甫
Hsu, Hsuan-Fu |
| Keywords: | 資料視覺化
運動視覺化
運動分析
序列分析
投球策略
Data visualization
Sports visualization
Sports analytics
Sequence analytics
Pitching strategy |
| Date: | 2020 |
| Issue Date: | 2020-08-03 17:59:00 (UTC+8) |
| Abstract: | 棒球的投手的表現在棒球比賽的勝負中佔有決定性的影響，投手在比賽中要不斷的決定投什麼球種，以及決定瞄準好球帶的什麼位置，而投出的每一球都會影響打者在對決過程中的判斷，最終形成打席的結果。當棒球球迷或專家想要去分析這些投打對決的時候，往往只能透過總結性的資料或是最原始的比賽畫面重播來分析，但總結性的資料缺少對於投打對決本身所具有的時序性的觀察，而原始影片分析不利於大量打席的分析。因此，本論文提出了一個視覺化分析架構，透過機率轉移矩陣和不同層級比賽狀態之間的互動來分析投手的表現，將每個打席內含的時序性空間資料作為佈局的基礎，搭配多層次的條件篩選以及對投手類型的分類，讓使用者可以在不同條件下的打席集合中探索投球策略的模式和成效。
Baseball pitchers have a significant role in baseball games; their performance in a game almost decides the game’s result. In the game, pitchers have to make decisions for which pitch type he should use next, and where he should pitch. Every pitch in a plate appearance(PA) will influence the batter’s mind, and cause the result of PA. When baseball fans and experts want to analyze these pitcher-batter match-ups, they just used video replay or some summary data. But summary data lacks observation of sequential property in a match-up. And video replay is not convenient for amounts of PA analysis.So in this paper, we make a visualization tool for analyzing sequential pitch data in a baseball game, using probability transition matrix and multilevel interaction to analyze pitcher’s performance and pitching patterns. We also contribute the cluster of pitchers who have similar pitching sets and let users using different game states to explore patterns and efficiency of pitching strategy. |
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| Description: | 碩士
國立政治大學
資訊科學系
105753037 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0105753037 |
| Data Type: | thesis |
| DOI: | 10.6814/NCCU202001005 |
| Appears in Collections: | [資訊科學系] 學位論文
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| 303701.pdf | | 6136Kb | Adobe PDF2 | 463 | View/Open |
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