What 3.9M powerlifting records tell us about competition strategy — an EDA with Python
An exploratory data analysis (EDA) project examined 3.9 million powerlifting records to uncover insights about competition strategies. The analysis revealed that athletes typically peak in performance between the ages of 22 and 24, and that bench press attempts have a notably high failure rate. Additionally, taking a fourth attempt significantly increases the chances of success, particularly in deadlifts.
- ▪The Open Powerlifting dataset contains approximately 3.9 million records of competition results worldwide.
- ▪Athletes peak in performance between the ages of 22 and 24, with a decline thereafter.
- ▪Bench press attempts have a 54% failure rate on the third attempt, while squat and deadlift have failure rates of 36-40%.
- ▪Taking a fourth attempt leads to a success rate of about 77%, with deadlifts achieving the highest success rate at 83%.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3948130) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Rubén Gil for Evolve Posted on May 23 What 3.9M powerlifting records tell us about competition strategy — an EDA with Python #python #datascience #data #sportscience What 3.9M powerlifting records tell us about competition strategy — an EDA with Python When I started this EDA project for my Data Science Master at Evolve, I picked the Open Powerlifting dataset because beyond being a gym-rat, I've always been curious about the competition strategy in powerlifting.
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