In this episode, I explain why data-driven basketball must start in the offseason, because it is not just training, it is what defines how your team will play.

In this episode, I break down the Final Four from a coaching perspective, identity, adjustments, tempo, analytics, and the cost of no adjustments, and how that allowed Michigan to play the game on its terms.

In this episode, I share how focusing on developing players evolved into a coaching philosophy that wins and creates a competitive edge.

In today’s episode, I talk about what it really means to play championship basketball and how the process, mental, technical, and tactical, prepares teams to be ready when it matters most.

In this episode, I reflect on the changing role of the coach, and whether we are still teaching through the game.

In this episode, I analyze the Auburn vs Ole Miss game through an analytics basketball lens and examine how efficiency, possession control, and real time adjustments influence outcomes.

In today’s episode, I talk about the balance between structure, analytics, and creativity, and why structure must facilitate players performance without limiting creativity.

In this episode, I explain why effective analytics basketball begins with training a deep roster to maintain the level of intensity required to achieve analytical goals.

In this episode, I explain how teams that fail to apply data driven strategies that tilt possessions and point production miss the opportunity to challenge the status quo and win games they are not expected to win.

In this episode, I explain how analytics basketball defines the roles of the I and the objectives of the We through preparation and game planning. It reflects experience, not theory, and challenges how coaches traditionally think about team basketball.