Each player must be focused on individual performance but playing together as a team is also crucial in securing a win. When teammates adopt data science together, they can analyze how they perform together.

Coaches may experiment with player combinations to see if better statistics are achieved with different lineups on the field. For example, if an MLB player catches 90% of a teammate’s throws to first but only 45% of another teammate’s throws, the coach is likely to pair the more successful partners on game day.

Using data analytics, team managers can develop machine learning techniques to identify winning player combinations and successful strategies.