Portfolio
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Simulating MLB Pitch Tracjetories
A short primer on my pitch visualization tool.
Tools used: Python,
pybaseball, JavaScriptNBA Matchup Predictor
Can a machine learning model outperform Las Vegas in predicting NBA matchups? Using team gamelog stats, I built a model to forecast game outcomes and compare its performance against the sportsbooks' predictions.
Tools used: Python, SQLite, GLMs,
requests,peewee,pandas,nba_api,statsmodelsTarik Skubal is on a Historic Pace
Skubal is on pace to become the first pitcher in modern history to lead his league in both K/9 and BB/9. Using the pybaseball library, I explored how his season compares to some of the most dominant of all time....
Tools used: Python,
requests,pybaseball,PillowEvolution Olympic Swimming Gold Medal Times from 1912–2024
Athletes have gotten bigger, stronger, and smarter — and the Olympics provides a perfect stage to showcase this. Plotting the gold-medal winning times in two of the most iconic swimming events, we clearly see the impact of sports science on...
Tools used: Python,
pandasEvolution of the NBA Shot Chart
The rise of the three point shot in the NBA is well documented and well understood. In this post, I explore this trend in further detail using shot chart data scraped from the NBA Stats website and managed using the...
Tools used: Python, SQLite,
requests,peewee,pandas,nba_apiDistribution of Annual Salaries and Total Contract Values for each of the Big Four Sports Leagues
Why do the types of contracts given out in each of the big four men's sports leagues differ so much? I explored this by looking at the distribution of salaries (annual and total) across all players in each league.
Tools used: Python,
requests,BeautifulSoup,pandasPhil Jackson's "40 Wns Before 20 Loses" Rule
The very first sports infographic I ever made! A simple test of the concept that in the NBA, a team must win 40 games before losing 20 to be a real contender for the championship.
Tools used: Python,
requests,BeautifulSoup,pandas