Sports Analytics Blog

Weekly Roundups

Weekly Sports Analytics News Roundup – April 17th, 2018

Football: Mike Tanier’s Moneyball Guide to the 2018 NFL Draft. Football Perspective looks at Where The Best Player Was Selected In Each Draft. Football Outsiders’ SackSEER 2018. Football Perspective on The Trouble With Finding Comparisons For Josh Allen.

Baseball: FanGraphs on Jackie Robinson and the Integration Advantage. Baseball Prospectus’ Baseball Therapy: Gabe Kapler, Explained. Tom Tango’s Statcast Lab: Next iteration of Sprint Speed. FanGraphs writes that Josh Hader Is Becoming Baseball’s Most Valuable Reliever. Beyond the Box Score on Taking the Statcast path to early season understanding. FanGraphs finds The Mets’ Surprising Start Isn’t That Surprising. FiveThirtyEight says Mike Trout Finally Has Some Help.

Basketball: Nylon Calculus’ Playoff implications of the full-strength standings. Kostas Pelechrinis blog post on Using win-probability added for evaluating lineups in basketball. FiveThirtyEight’s NBA Playoffs’ Sleepers, Favorites And Best First-Round Matchups. The 94 Feet Report’s series on how to think about NBA Awards: On Criteria, The Games Played Conundrum and The Question Of Credit. NBA Math Ranks Every NBA Player After 2017-18. Nylon Calculus ponders How far ahead of schedule are the Philadelphia 76ers? Fancy Stats believes The Golden State Warriors should be on upset alert as NBA Playoffs begin. Seriously. Nylon Calculus Evaluates preseason win predictions.

Soccer: The Harvard Sports Analysis Collective examines Do Relegation Threatened Teams Perform Better Or Worse At The End Of A Premier League Season?

Lacrosse: Moneyball Lacrosse: The Man Behind the Goals.

Hockey: FiveThirtyEight writes that The Predators Don’t Need An Ovechkin Or A Crosby. Fancy Stats’ 2018 Stanley Cup playoffs: Ducks, Capitals most likely favorites to fall in Round 1.

Tennis: Heavy Topspin examines Big Four Losing Streaks.

General: Chicago Tribune article: Local firm Stats bets big on artificial intelligence to gather sports data.

Your moment of R: BaseballWithR’s offers code to use the Bradley-Terry Model to simulate game results. All of the materials from the Carnegie Mellon Baseball Analytics Workshop are here.

Conferences: May 7th  Analytics in Sport in the Netherlands. The Fields Sports Analytics Workshop May 24th and 25th in Toronto.

Leave a Reply

Your email address will not be published. Required fields are marked *