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How to Leverage Analytics to Optimize Your Game Strategy and Lineup Rotations

Team production and performance or, more simply put - winning basketball games - is not an exact science and requires a lot of skill, practice, and sometimes a bit of luck. While it is by no means a stand alone coaching solution, the use of advanced analytics (and the software that computes it) reduces the reliance on luck and can maximize the talents of a team.

Specifically when planning the rotations and lineups for a specific game, the use of historical statistics can prove to be quite valuable, especially when used in conjunction with the intuition and first-hand knowledge that a coach brings to the table. Let's take a look at how the Pivot Analysis analytics tools can be used to understand the situational team performance, analyze weaknesses, track the responsible players, and identify optimal substitutions.

Analyzing the Situational Performance of the Team

Filter lineups by game situation(Period, Starters, etc...)

The Pivot Analysis Lineup Explorer allows a user to quickly review team performance from several perspectives, using advanced filters on the prebuilt reports. Take the 2018-2019 Duke Blue Devils for example, a coach can easily identify how the team performed in each period, how the team performed during the starters' minutes versus follow on lineups, and whether or not the second half starters differed from the first half.