This week’s episode saw multiple listener questions answered including a discussion on prediction of caloric and carbohydrate burn from training data. There’s some quick fire talking points including the new TGL golf league, a women’s 5K world record and Netflix’s content strategy in sport. We then touch on the use of machine learning for talent prediction in football. Finally we look at injury and illness rates for the USA Olympic and Paralympic teams from the Tokyo games.

(00:00) Introduction

(03:41) David’s Update and Training

(06:23) Xylon’s Update

(17:30) Community Shoutouts

(33:30) Listener Question - Training on Tired Legs

(36:10) Listener Question - Heart Rate’s Relationship to Calories

(41:10) Predicting Carbohydrate and Caloric Burn

(46:50) Netflix Secures Women’s Football World Cup

(48:32) TGL Golf League

(51:08) Women’s 5K World Record Broken

(51:44) Ilona Maher Debuts for the Bristol Bears

(54:04) The Coaching Roundabout

(60:38) Machine Learning Prediction of Football Talent Selection

(64:20) Doctor’s Office - USA Tokyo Olympic & Paralympic Team Illness and Injuries

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David’s Newsletter Article on Calories

https://open.substack.com/pub/healthperformancenexus/p/calories?r=34wgun&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

Article on New Golf League

https://www.foxsports.com.au/golf/unbelievable-product-pga-tour-star-says-venue-for-new-indoor-golf-league-feels-like-epl-stadium/news-story/e6118221a0b3fd235d259debe51c392c

Article on Machine Learning and Youth Football Academy Success Prediction

https://www.tandfonline.com/doi/full/10.1080/02640414.2024.2442850

Article on Predicting Carbohydrate & Energy Expenditure

https://link.springer.com/article/10.1007/s40279-024-02131-z

Article on Injury & Illness at Tokyo Olympics from the USA

https://journals.sagepub.com/doi/10.1177/23259671241304417

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