![]() Head to Twitter on any given day, search for #timeseries or #TimescaleDB, and you're sure to find questions about high-frequency trading or massive scale observability data with tools like Prometheus. Stock, cryptocurrency, IoT, and infrastructure metrics data are relatively common and widely understood time-series data scenarios. At Timescale, we're always looking for fun ways to showcase the expanding reach of time-series data. Time-series data is everywhere, including, much to our surprise, the world of professional sports. NFL footage © NFL Productions LLC.Learn how to use time-series data provided by the NFL to uncover valuable insights into many player performance metrics – and ways to apply the same methods to improve your fantasy league team, your knowledge of the game, or your viewing experience - all with PostgreSQL, standard SQL, and freely available extensions. All other NFL-related trademarks are trademarks of the National Football League. ![]() ![]() NFL and the NFL shield design are registered trademarks of the National Football League.The team names, logos and uniform designs are registered trademarks of the teams indicated.
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