One of my all-time favorite titles for a post is below. Tip of the iceberg for a few good American football articles and even a fun non-American football post. Turns out Federer's forehand was great.
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This Week's Lineup
Farewell To Roger Federer — And His Formidable Forehand
Lots of good nuggets in here. From the speed and revolution of his forehand to the ratio of forehand winners to forehand unforced errors at Wimbledon.
Introducing The Athletic’s 18 Soccer Player roles
What if, instead of positions, we had a more detailed, tactical way to describe what footballers do? Here's The Atheltic's unique set of 18 player roles. Great graphic inside too.
Fantasy-Football-Models: Beating the shit out of my friends with data science
I love the title and was obligated to share. A package you can install for fantasy football success.
ESPN's Receiver Tracking Metrics
ESPN's new Receiver Tracking Metrics (RTMs) use player tracking data from NFL Next Gen Stats to analyze every route run -- including those that are untargeted -- and assess receiver performance in three distinct phases: getting open, contesting and making the catch, and generating yards after the catch (YAC). These three components also are blended to create an overall receiving metric.
Opponent Adjusted Stats using Ridge Regression
Performing an opponent adjustment that solves for a given stat by taking into account the quality of both the offense and the defense, using Ridge Regression in Python.
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