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Epic Athletes: Simone Biles

為了解決NBA scores的問題，作者Wetzel, Dan 這樣論述：

In Epic Athletes: Simone Biles, celebrated sports journalist Dan Wetzel scores a perfect ten with this uplifting young reader's biography of gold medal gymnast Simone Biles Featuring comic-style illustrations from Marcelo Baez At the 2016 Summer Olympics, Simone Biles dazzled gymnastics fans across

the globe with each jaw-dropping flip, twist, and dismount. Her record-breaking performance catapulted her to the top of the sport, and she quickly became a hero to young people.But well before Simone faced Olympic trials on the balance beam and rings, she confronted real-life challenges as a kid,

as she moved in and out of foster care. With the support and love of her grandparents, plus her unwavering drive to make history on the ultimate stage in sports, she grew into an incredible role model and activist--and one of the greatest athletes of our time. Filled with sports action and bold comi

c-style illustrations, this inspiring biography recounts the incredible life of a world class gymnast. Praise for Epic Athletes: * "Wetzel knows how to organize the facts and tell a good story. . . an unusually informative and enjoyable sports biography for young readers." --Booklist, STARRED review

of Epic Athletes: Stephen Curry New York Times bestselling author Dan Wetzel has been a Yahoo Sports national columnist since 2003. He’s covered events and stories around the globe, including college football, the NFL, the MLB, the NHL, the NBA, the UFC, the World Cup, and the Olympics. For years

, he’s been called America’s best sports columnist, appeared repeatedly in the prestigious Best American Sports Writing, and been honored more than a dozen times by the Associated Press Sports Editors.

NBA scores進入發燒排行的影片

八週戰繩訓練介入對高中乙組籃球隊員遠距離投籃表現之影響

為了解決NBA scores的問題，作者黃資皓 這樣論述：

本研究以12名臺南市高中乙組男子組籃球隊員為研究對象，將戰繩訓練介入球隊日常訓練之中，欲了解此介入對球員之投籃命中率(罰球、三分球、10公尺三分球及12.425公尺三分球)、四種垂直跳(蹲踞跳、下蹲跳、擺臂下蹲跳及墊步擺臂下蹲跳)、最大發力率(peak rate of force deveiolment,PRFD)、最大力量(peak force,PF)、足底壓力中心(center of pressure,COP)之影響，依能力平均分配為實驗組及控制組，實驗組為介入戰繩訓練；控制組為一般投籃訓練。實驗為期八週，每週介入兩次，介入開始前於結束後皆實施前後測，測驗項目為四種垂直跳及四種投籃

方式。實驗以sony攝影機蒐集受試者投籃的運動軌跡和影像資料，使用Type 9286AA,Kistler測力板(1000Hz)蒐集四種垂直跳及投籃時的PRFD、PF及COP等數值，分析投籃參數及垂直跳參數做為比較依據。統計方法使用在組間比較時使用獨立樣本t檢定，組內比較時使用成對樣本t檢定進行資料處理，參數成績以平均數和標準差呈現，統計水準皆訂為α=.05。 研究結果之組間前後測參數比較，實驗組和控制組在下肢爆發力的PRFD、PF、COP數據上和前測並沒有太大差異，而在投籃的命中率以及得分的進步百分比數據上，雖然未達顯著差異(p>.05)，但是實驗組稍有進步，控制組稍有退步。八週的戰繩運

動訓練介入，對於下肢爆發力雖無顯著的影響，但對於超遠三分球的命中率及投籃品質之運動表現是有所提升。

Lionel Messi

為了解決NBA scores的問題，作者Wetzel, Dan/ Reed, Jay (ILT) 這樣論述：

Renowned sports journalist Dan Wetzel shoots and scores with Epic Athletes: Lionel Messi, an inspiring young readers biography of a soccer great who rose from an underdog to a champion Featuring comic-style illustrations by Jay Reed Lionel Messi has taken the soccer world by storm. He scored the mos

t goals in a season. He's racked up championships. There was even a statue built in his honor. Despite the accolades, he's still hungry for more goals, more championships, more opportunities to shine on the soccer pitch. Messi's drive to succeed has motivated him ever since he first stepped on his l

ocal, worn down field as a kid.Yet his success didn't come without bumps in the road. Diagnosed with a career-threatening medical condition at ten, Messi refused to give up on his dream, and went on to amass one of the greatest careers in sports history. Filled with sports action and bold illustrati

ons, this thrilling biography details the rise of a living soccer legend.Praise for Epic Athletes* "An unusually informative and enjoyable sports biography for young readers." --Booklist, starred review for Epic Athletes: Stephen Curry New York Times bestselling author Dan Wetzel has been a Yahoo

Sports national columnist since 2003. He’s covered events and stories around the globe, including college football, the NFL, the MLB, the NHL, the NBA, the UFC, the World Cup, and the Olympics. For years, he’s been called America’s best sports columnist, appeared repeatedly in the prestigious Best

American Sports Writing, and been honored more than a dozen times by the Associated Press Sports Editors. Follow him on Twitter.

基於時序模型和圖神經網路之NBA季後賽勝負預測

為了解決NBA scores的問題，作者錢寧 這樣論述：

近年預測比賽勝負的研究大多有兩點問題，一是以賽後數據做為預測，也就是以比賽已經結束所記錄下的數據來預測該場比賽結果。這樣的做法並不符合真實世界的情況，因為不可能在賽前就得知該場比賽的數據，因此造成準確率失真；二是以球隊的平均數值表現進行分析和預測，這樣的作法並沒有考慮到個別球員在比賽中做出的貢獻，造成許多個別球員表現並未被充分利用，例如：球員個人的得分、失誤、犯規等…。除此之外，對於數據預測的方式多採取傳統的計算方式，例如：直接將前三場的球隊得分算平均，當作第四場的得分，這樣的作法並未考量到數據之間的相關性，造成預測的數據不精準。本論文提出基於時序模型與圖神經網路，以預測出季後賽的勝負，首先

，我們以球員當作點(nodes)，並以時序模型預測之球員表現當作點特徵(node features)，根據其在球隊上的位置關係建邊(edges)形成一張圖(graph)。其次，利用本論文所提出的圖神經網路架構進行預測，其中GAT的注意力機制(attention)將會選取圖中重要的點並計算出點表達式(node representation)，經由GCN做卷積(convolution)得出特徵向量後，再透過全連結層(fully connected)將點表達式轉換成圖表達式(graph representation)，以進行最後的勝負預測。本論文以美國職籃(National Basketball A

ssociation, NBA)2020-2021球季的資料進行實驗，傳統以三場平均(3-game-average)計算出數據並透過ANN預測，準確率為59.5%，而透過本論文所提方法進行預測的準確率達到76.9%，顯示本架構能夠有效預測比賽的勝負。