Building believable sports simulations requires much more than historical stats. Here's what we've learned while building MicroLeague Sports.
Why Sports Data Is Harder Than Most People Think
Building believable cross-era simulations turned out to be less about the engine and more about the data underneath it. Here is what we learned.
MicroLeague Dev Blog, Vol. 3
By Eddie Solar
When we started building MicroLeague Sports, I assumed the simulation engine would be the hard part.
How MicroLeague Sports is using data, simulation technology, Web2, and Web3 to turn sports debates into interactive experiences.
See how the Databricks Sports team has used the data intelligence platform to win more games and improve fan experience across…
If you've ever tried building a sports betting application, odds tracker, arbitrage scanner, value...
When we started building a real-time sports odds platform, we thought the biggest challenge would be...
When developers think about a football API, it's easy to imagine an endpoint that returns fixtures or...
Ever wondered how to predict the next big game? This article dives into the technical journey of building a smart sport…
