Titlebook: Machine Learning and Data Mining for Sports Analytics; 5th International Wo Ulf Brefeld,Jesse Davis,Albrecht Zimmermann Conference proceedi

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Football Pass Prediction Using Player Locationsance. In this paper, we describe a novel model for football pass prediction, developed to participate in the Prediction Challenge of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics, collocated with ECML PAKDD 2018. The model called Football Pass Predictor (FPP) considers va

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Deep Learning from Spatial Relations for Soccer Pass Prediction passes between players, as a submission to the prediction challenge organized for the 5th Workshop on Machine Learning and Data Mining for Sports Analytics. The goal of the challenge was to predict the receiver of a pass given location of the sender and all other players. From each soccer situation

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Predicting the Receivers of Football Passes. Anticipating the receiver of a pass can help football players build better collaborations and help coaches make informed tactical decisions. In this work, we analyze a public dataset that contains 12,124 passes performed by professional football players. We extract five dimensions of features from

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Philippe Fournier-Viger,Tianbiao Liu,Jerry Chun-Wei Line haben sich dabei ergeben, die mehr den Eindruck des Zufalls als das Streben nach Eindeutigkeit und die Suche nach absoluten Begriffen erkennen lassen. Zu einem großen Teil hat dabei die jeweilige technische Lösung des Bewegungsvorganges Pate gestanden. Es ist nur zu verständlich, daß einer solchen

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Player Valuation in European Footballtinguishing top-tier players and show that prediction performance is higher for forwards than for other positions, suggesting that equally good prediction of defensive players may require more advanced metrics.

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Ranking the Teams in European Football Leagues with Agonyur goal is to solve this issue for European football leagues. Our approach is based on a generalized version of agony which was introduced by Gupte et al. (WWW’11). Our experiments yield natural rankings of the teams in four major European football leagues into a small number of interpretable quality levels.

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Player Pairs Valuation in Ice Hockeymance of players to the related problem of evaluating the performance of player pairs. We experiment with data from seven NHL seasons, discuss the top pairs, and present analyses and insights based on both the absolute and relative ice time together.