<a href="https://teachhoops.com/">https://teachhoops.com/</a>
In an era of constant feedback, specialized trainers, and relentless sideline instruction, we have to ask a difficult question: Is more actually better? In this episode, we tackle the epidemic of "over-coaching" and the tendency for coaches to "joystick" their players from the sideline. We discuss the difference between teaching foundational concepts and micromanaging every dribble, pass, and cut, exploring how excessive instruction can lead to "paralysis by analysis" where athletes are too afraid of making a mistake to actually compete.
We dive deep into the long-term effects of removing decision-making from the players. When a coach solves every problem during practice or calls out every read during a game, players never develop the crucial basketball IQ needed to adjust on the fly. We examine the benefits of the "constraints-led approach" and the importance of messy, chaotic practices where the game itself becomes the teacher. We challenge the traditional model of blocked drills in favor of small-sided games that force players to think for themselves.
Finally, we offer practical strategies for "coaching less" to get more out of your team. This includes the uncomfortable art of staying silent during a scrimmage, asking questions like "What did you see?" instead of immediately providing the answer, and empowering your point guards to take ownership of the offense. It is about shifting your mindset from being the puppet master to being a facilitator who builds autonomous, high-IQ players capable of winning when they can't hear your voice over the crowd. Learn more about your ad choices. Visit <a href="https://podcastchoices.com/adchoices">podcastchoices.com/adchoices</a>

Podurama

Home

Trending

Personal

Your Podcasts

New Episodes

My Files

Favourite Episodes

Tags (Folders)

Recently Played

Bookmarks

Followed Playlists

Ep 2782 Are We Turning Our Players into Robots by Over-Coaching?

Basketball Coach Unplugged (A Basketball Coaching Podcast)

AI Chapters

AI Insights

Reviews