Michigan's defense is designed to concede shots analytics dislike: mid-range jumpers.
Coach Dusty May is confident opponents can't consistently make enough of these shots to win.
The team's size at the rim, featuring players like Aday Mara and Morez Johnson Jr., deters opponents from driving to the basket.
Data shows opponents struggled with mid-range shots and floaters against Michigan in previous games.
May states that his defensive strategy has rarely been the cause of losses over his seven years as a head coach.
Why This Matters: This analytics-driven approach is reshaping Michigan's defensive identity, potentially making them a formidable opponent. It highlights the increasing influence of data analysis in college basketball strategy.
Michigan's strategy aligns with modern basketball's emphasis on high-value shots like catch-and-shoot 3s and layups. By limiting these opportunities for opponents and forcing them into less efficient shots, Michigan aims to control the game's tempo and increase their chances of winning.
Coach May's confidence in this approach stems from years of experience and data analysis, suggesting that consistently hitting mid-range shots is unsustainable for most teams. The effectiveness of this strategy was clear in the game against San Diego State, where the Aztecs struggled to find offensive rhythm.
Q: What type of shots does Michigan's defense try to force?
Mid-range jumpers and floaters, which are statistically less efficient.
Q: Why is Michigan confident in this defensive strategy?
Coach May's experience and data analysis suggest opponents can't consistently make enough of these shots to win.
Michigan is prioritizing defensive efficiency by forcing opponents into low-percentage shots.
This strategy reflects the increasing influence of analytics in basketball.
The team's size and defensive agility play a key role in executing this plan.
Do you think this analytics-driven defensive strategy will lead to success for Michigan basketball? Let us know your thoughts!
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