Pull real MLB, NBA, soccer, NFL and NHL data, analyse it in Python, and build charts you made yourself - one focused tutorial at a time.
A capstone: ask one question - how big is home advantage? - across five leagues, reusing everything you've learned, and put the answers on a single comparison chart.
Read the capstone →
Reconstruct the standings week by week from a season of game results and draw a bump chart - the elegant ranked-line visual that shows every rise and fall.
Learn matplotlib's subplots to build small multiples - a grid of tiny charts that share axes so you can compare many teams or groups at a single glance.
Quantify a relationship instead of eyeballing it: compute a correlation, fit a regression line with numpy, and report R-squared - using NHL goal differential to predict points.
Use the NHL's stats-leaders endpoint to pull the top goal scorers, shape the nested JSON into a tidy table, and build a leaderboard chart with each player's team.
Pull a team's full NHL schedule with scores, compute a rolling goal differential, and chart the peaks and slumps of a season - reading momentum straight from the data.
Filter play-by-play to fourth downs, classify each decision (go, punt, kick), and rank teams by how often they go for it - the clearest signal of analytics-era coaching.
Sport-agnostic skills - Python, pandas, plotting and data cleaning - that every other tutorial builds on.
20 tutorials →MLB Statcast is the richest free data in sports. Pull it with pybaseball and build leaderboards, heatmaps and more.
13 tutorials →The NBA's stats API is powerful but picky. Learn to pull it politely, then build standings, ratings and shot charts.
12 tutorials →Free event data from StatsBomb plus xG from Understat let you analyse matches like a pro - no paid feed required.
6 tutorials →nflverse opens up every NFL play. Compute EPA, compare quarterbacks, and learn the modern football-analytics toolkit.
6 tutorials →The NHL's public API needs no key. Pull standings and play-by-play, then plot shots on a rink you draw yourself.
4 tutorials →