April 2025
Intermediate to advanced
352 pages
9h 18m
Portuguese (Portugal, Brazil)
Content preview from Analítica de futebol com Python e R
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A vida é feita de histórias. Para muitos, essas histórias giram em torno do desporto e, especificamente, do futebol. Muitos de nós lembram-se de jogar jogos no quintal com a família e os amigos, enquanto outros tiveram a sorte de jogar esses jogos sob as luzes e em frente aos adeptos. Adoramos os nossos heróis e detestamos os nossos rivais. Contamos estas histórias para nos ajudar a compreender o passado e a tentar prever o futuro. A análise do futebol, na sua essência, permite-nos utilizar a informação para contar histórias mais precisas sobre o jogo que adoramos. Dá-nos munições para algumas das questões mais incómodas do jogo.
Por exemplo, o maior número de campeonatos faz o melhor quarterback? ou as melhores estatísticas de passe? o que significam as "melhores estatísticas de passe"? há coisas que os jogadores fazem que transcendem a matemática? em caso afirmativo, transcendem simplesmente a nossa compreensão atual do jogo do ponto de vista matemático, apenas para se revelarem brilhantes quando dispusermos de novas e melhores informações? quem é que a tua equipa favorita deve escolher se estiver a tentar ganhar este ano? e daqui a três anos? quem é que a tua avó deve escolher no fantasy football? em que equipa deves apostar durante a tua escala em Las Vegas durante um domingo de futebol?
Após o sucesso da abordagem Moneyball no basebol (captada por ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.