Football: PFF’s Timo Riske Examines the trade market with 2020 NFL Draft trades. Sarah Mallepalle, Ronald Yurko, Konstantinos Pelechrinis and Samuel L. Ventura publish Extracting NFL tracking data from images to evaluate quarterbacks and pass defenses. Football Outsiders’ Adjusted Interceptions 2019.The SIS blog hands says there are Lots of Stat-Based Reasons To Feel Good About Kyler Murray. Nate Weller at The SIS blog looks at Which teams have given us the most exciting stretches of football. PFF’s Sam Monson with Production vs. volatility: Can a quarterback outproduce a bad turnover-worthy throw rate?
Baseball: FanGraphs on How Shortened Seasons Affect Future Projections. FiveThirtyEight’s Neil Paine points out Todd Helton’s Mile-High Stats Were Too Damn Good To Believe.
Basketball: Nylon Calculus ponders Would shorter NBA playoffs be a recipe for upsets? Thomas Bassine has a dataset with All draft picks from 1995-2012 and the number of all-star and all-NBA teams for each player.
College Basketball: Jordan Sperber’s Hoop Vision Weekly: Leveling Up. Her Hoop Stats publishes Analysis of NCAAW Recruiting Part Two: What conferences are dominating recruiting?
Hockey: FIveThirtyEight writes that The U.S. May Have Trouble Restarting Canada’s Sport.
Soccer: American Soccer Analysis’ Goals Added: Introducing A New Way To Measure Soccer and Deep Dive Methodology. StatsBomb’s Data History of the European Cup: 1972, Ajax 2-0 Inter Milan. Tom Decroos introduces Atomic-SPADL: A new way to represent event stream data. Tom Worville goes over The 10 Commandments of football (soccer) analytics.
Tennis: FiveThirtyEight analyzes whether Serena Williams And Roger Federer Have Won Their Last Grand Slams.
General: FiveThirtyEight points out Video Games Are Having A Moment — But Sports Games Are In A Rut.
Check out these Pythons: PySport releases version 0.2.0 of kloppy, a package providing (de)serializers for soccer tracking- and event data. Tinniam V Ganesh Revitalizes his R package yorkr. Rob Mulla publishes his work on Redefining NCAA Basketball Positions using Data.
Your Moment of R: BaseballWithR analyzes Defensive Shifts and Ground Ball Batting Averages. Beyond the Box Score’s Kenny Kelly continues Learning R: What do you mean the object is not found?. Thomas Mock uses an NFL example to show how to Pivot data from wide to long to run many models at once.