Hey folks, our long time friends Mike Imburgio and John Muller are putting out an app. Kieran, Ben, and Harrison spoke to them on the pod here [link] if you want to hear some more of the why, and some of the fun things coming out on top of it. ASA wouldn’t have built many of the cool things we have over the years without these two gentlemen, and it’s pretty exciting to see what they’re building now. Mike is here to explain more below.

futi is a next-gen live score app built to bring pro-quality analytics to fans in a familiar format. We’re rolling out model explainers and early data releases so you can preview the models behind the app. Follow us to keep up to date and be part of the future of fan-facing stats at the links below:

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• Early data release tables

At the end of January, many members of our ASA Community headed down to Rice University in Houston to talk a whole lot of soccer analytics. ASA Slack was buzzing around so much we figured we’d convene the round table. If you want to hear a podcast version of the conversation around the conference, Ben, Kieran, and Harrison spoke to Arman Kafai about some of the cool stuff going on there.

By Akshay Easwaran

Every soccer data analysis group has had the same jump-scare: they sign data provider contract #2, and suddenly, they need a solution to link teams, matches, and players across their data ecosystem. Individual data sources are easy to ingest: you can tuck them in their own little schemas, write code specific to their little universes, and rest easy that changes won’t come thick and fast without proper notice from your providers. But with those individual data sources come individual standards for tracking objects (players, teams, or matches). In most (if not all) major American sports, working across providers is easy: just use an object’s single source of truth identifier from the league itself. But as every analyst finds out very quickly, there is no public single source of truth identifier for teams, matches, and players in international soccer.