Weekly Sports Analytics News Roundup – January 29th, 2019
Football: Next Gen Stats provided live play-by-play of the Pro Bowl. Football Perspective Reviews Tom Brady’s Receivers During The Patriots Super Bowl Years. FiveThirtyEight writes that There’s Really Never Been An NFL Dynasty Like The Patriots. Football Outsiders Evaluates Goal-to-Go Strategy with Expected Points. FiveThirtyEight on Why The NFL Can’t Rely On Defense. FiveThirtyEight says Jared Goff Needs To Play Better.
College Football: Football Study Hall Revisits the 2006 and 2007 college football seasons with advanced box scores.
Baseball: FanGraphs continues its series on Fixing MLB’s Salary Arbitration System: Evidence and Admissibility. John Dewan looks at Active Players on a Hall of Fame Path. Tom Tango’s Statcast Lab: Time to 90 Feet Charts and How much influence do pitchers have on batted balls? (part 1). FiveThirtyEight believes Mariano Rivera’s Unanimous Induction Shows An Evolving Cooperstown. Beyond the Box Score Looks at the inconsistencies of hard-hit rate.
Basketball: Justin Jacobs’ blog posts on The Potential Assist and The “No Turnover” Turnover. Stephen Shea’s Perimeter Defense Rating. Nylon Calculus identifies The worst individual matchups in the NBA. The Economist video on how data is transforming the NBA.
College Basketball: Joe Mussato in The Oklahoman writes about OU setting pace in college basketball’s technology-driven race. Jordan Sperber’s latest podcast.
Soccer: American Soccer Analysis’ Model Update: Coefficient Blending. StatsBomb: The xClaimables! Measuring Keeper Aggressiveness. American Soccer Analysis on How to find Transfer Market Success in MLS.
Hockey: Alyssa Longmuir explains how she brought the AWIHL into the analytics era. Hockey Graphs’ Epilogue to Quantifying Differences between the Regular Season and the Playoffs. Tom Tango’s look at How much goalie talent is there in the NWHL.
Tennis: Heavy Topspin on The Impact of Rafael Nadal’s New Serve and Australian Open Coverage at The Economist.
Check out these Pythons: py_ball shows you how to create your own NBA shot, assist, or foul chart using Python. Tinniam Ganesh’s Pitching yorkpy…on the middle and outside off-stump to IPL – Part 2.
Your moment of R: BaseballWithR’s Historical Look at Pitcher Usage. Jacquie Tran’s fitzRoy package: Obtaining AFLW game statistics from women’s footy matches. Ryo Nakagawara’s code for Visualizing the Asian Cup with R.