162.games

This site breaks the MLB season down into series-by-series segments and graphs those results over time. Gauging a team's performance through this lens allows one to see through much of the noise in 162 individual results. Winning the series is usually read as a more important indicator of sustainable success.

Additionally, I've included a rough measure of the team's momentum at the time the series took place. The aim is to easily address a common fan question: "Did we play this team at a good or bad time?"

Tech details

The data is sourced from MLB's official stats API using python bindings . I use a Lambda to refresh the results every night during the regular season. The responses are condensed into a single ~400KB JSON file that contains series, results, rankings, and measures of momentum for every team across every day in the season.

I chose D3, React, Tanstack Router, and Vite as my frontend stack.