Another approach is to use data analytics to inform decision-making. By analyzing large datasets, teams can identify trends and patterns that can help them prepare for and respond to random events. For example, teams can use data to identify opponents' strengths and weaknesses, adjust their defensive strategy, and make informed decisions about player rotations.
One key area where randomness has a substantial impact is in shooting. Even the best shooters in the league experience variance in their shooting percentages, with some games resulting in significantly more made shots than others. For example, a study by NBA analyst, Dean Oliver, found that the standard deviation of a team's three-point shooting percentage is around 5-6% (Oliver, 2014). This means that even if a team has a high three-point shooting percentage, they can still experience significant variance in their shooting from game to game. basketball random g
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