In-game player movements tracker
Sports journalism is driven by data. Though the most often used metrics in reporting would usually rely on aggregated data, such as the average scores of a team, how often it would win at home and away and so on. There is one limitation: the outcomes of games are heavily influenced by chance, so even with very extensive statistics predictions about game outcomes are just guesses.
But there is a perspective that would be new: if one could zoom into the decisive moments of a game and provide insights which get lost in the video of a game. The NBA in the US has introduced animated visualizations doing just that. From a bird’s eye perspective you can see the movements of the players and the ball, see how a team succeeds in scoring against the other.
These kind of new views will over time change how sports journalism reports about games, specifically for the fans of a team. Whether done for one game or in a step by step analysis of how one player performed during a season, the movements data is interresting. There are even ways to extract the data from the NBA via an API: Go to the website of Savvas Tjortjoglou. In his most recent post he provides a script that allows to tap into the API of games data from the NBA.
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Found on Flowing Data