MIAMI MARLINS
“ We use data from every pitch, swing and play to understand who our players are today – and who they could become tomorrow”
BRIAN CHASE, VP OF BASEBALL SYSTEMS, MIAMI MARLINS
baseball personnel with quantitative analysis from data scientists and research analysts. Brian describes the methodology as bridging“ the qualitative and the quantitative to make really informative decisions.” This means that from AI’ s capabilities, the Marlins have cultivated a culture that values both traditional baseball knowledge and advanced analytics, with coaching staff and player development personnel actively seeking data-driven insights to enhance their effectiveness.
How AI is accelerating predictive modelling for player evaluation The Marlins additionally employ supervised learning techniques to identify factors that correlate most strongly with player performance.
Data scientists within the organisation build predictive models designed to forecast player development trajectories over three to five year periods, informing decisions about team construction, free agency acquisitions and trade opportunities.
technologymagazine. com 123