Coach C Basketball Analytics Podcast

In today’s episode, I discuss how teaching players through Basketball Analytics becomes an important part of establishing a Basketball Analytics Culture.

In today’s episode, I discuss how basketball analytics can help coaches identify and recruit the right players for their style of play, not just the top scorers.

In this episode, I discuss why basketball analytics is a complete coaching philosophy, not simply the analysis of statistics, and how building a Basketball Analytics Culture can create a competitive advantage.

In today's episode, I discuss whether today's coaching evaluation process has evolved with the game, and whether standardized applications are capable of identifying the coaching talent the Basketball Analytics Era demands.

In today’s episode, I discuss why the current coaching staff structure has not evolved with the game, and why basketball analytics and data-driven game plans are still not being used and communicated effectively during games.

In this episode, I explain my basketball analytics philosophy of how to use the key numbers of the game to compete to win against any level of opponent.

In today’s episode, I share the foundation behind my analytics philosophy and why controlling possessions and rhythm through data-driven strategies can help bridge the gap, maximize your team’s strengths, and greatly increase your chances of success on the court.

In today’s episode, I discuss how coaching philosophy, teaching, leadership, and experience eventually become connected to reputation and identity over time.

In today’s episode, I discuss why competitive adaptation became such an important part of my coaching philosophy and why I started questioning whether every team should really be trying to play the exact same game.

In today's podcast, I discuss the direction of college sports and ask whether coaches, programs, and teams should still be evaluated the same way as money, N.I.L., and the transfer portal continue changing the reality of college athletics.

In today’s episode, I discuss how predictability and over structured systems affect player development, basketball IQ, decision making, and performance, and how basketball analytics connects directly to understanding and playing the game.

In this episode, I break down pressure with purpose. It’s not effort. It’s regaining possession, reducing the opponent’s time with the ball, and controlling the numbers of the game. If it doesn’t change the numbers, it’s not pressure.

In today’s episode, I challenge the idea that money and talent control the game. I focus on what actually determines outcomes through analytics, and why preparation is where control is built.

In this episode, I explain the difference between coaching style and style of play, why they are not the same, and how that impacts the way coaches lead and make decisions.

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.