Premier League analytics

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Expected goals Opta statistics Player tracking data Passing networks

Brighton's expected goals model and the buy-low sell-high strategy that funds the club Where Premier League expected goals numbers come from and why two providers disagree Points per game and why it reads the Premier League table better than position How Brentford's analytics department finds undervalued strikers in the transfer market Expected assists in the Premier League: is the metric worth quoting? Big chances missed in the Premier League: what actually counts as a big chance? The limits of expected goals and why Premier League analysts still tag every match by hand What Opta and StatsBomb tracking data still cannot measure about Premier League defenders PSR and analytics: how Premier League clubs model a transfer before they bid How Premier League clubs use tracking data to price full-backs and wing-backs How Nottingham Forest's recruitment model changed after promotion to the Premier League Expected points versus actual points: which Premier League clubs beat their model? How set-piece analytics changed the way Premier League teams defend corners Why some Premier League managers still refuse to let analysts into the dressing room How Premier League academies use data to decide which 17-year-olds to keep

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