Learning Bayesian Statistics cover image

Learning Bayesian Statistics

#128 Building a Winning Data Team in Football, with Matt Penn

Mar 19, 2025
Matt Penn, a football data scientist for Como 1907, discusses the critical role of Bayesian statistics in player recruitment and team decisions. He highlights how analysts can effectively communicate insights to coaching staff, fostering better collaboration. The conversation dives into the biases present in traditional football statistics and the impact of tracking data on understanding player movements. Matt shares his journey into sports analytics and emphasizes the importance of curiosity and practical experience for aspiring analysts in this competitive landscape.
58:11

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Bayesian statistics are essential for effectively analyzing football performance, particularly in situations where data is limited and uncertain.
  • Successful communication of analytical insights to coaches is vital for aligning statistical findings with strategic football decisions and practices.

Deep dives

Matt Penn's Journey into Football Analytics

Matt Penn's career in football analytics began during the 2021 lockdown when he realized his background in mathematics could be applied to the sport he loved. He started reaching out to local clubs for opportunities to contribute data analysis, eventually leading to a role with Oxford City FC. After gaining valuable experience working with various clubs, Matt joined Como 1907, helping the team achieve promotion to Serie A. His journey illustrates how passion combined with relevant skills can transform a hobby into a rewarding career.

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