We produce game-specific and matchup-specific shot blot charts to show how the playoffs and matchup has been affecting each team.
Breaking down the shot profile data for each player and visualising it to quickly identify and compare players' roles within a team context
Once we have the game data, we need to identify the "standout" games. How might we do that?
How to visualise the shot distance profiles for each team. How do we optimise these visualisations to reveal each team's strategic DNA?
Starting to analyse NBA play-by-play shot location data by distances to reveal insights into teams' offensive tendencies and edges.
A little bit about my Python setup, including hardware, IDE, package and python version management, as well as preferred deployment destinations.