Wharton Sports Analytics Journal

Open Access · ISSN 3070-4065

Fall 2022

Is the MLB Picking the Right Umpires for the World Series?

As a low scoring sport, soccer has relatively more random outcomes. This project examines the English Premier League team Everton’s results from the 2020-21 and 2021-22 seasons to determine the cause in the observed drop in performance. We find that Everton’s drop off was due mainly to structural factors. Factors which include the departures of ...Read More

Running to Runs: the Importance of Baserunning

Over the past 20 years, baseball has reduced the rate of stolen base attempts and devalued baserunning. Our project examines team level baserunning statistics to discern if there is a correlation between a team’s baserunning and its winning percentage. A factor, BsR, was created that includes all plays on the basepaths. BsR was found to ...Read More

The Importance of Break Point Percentage

In tennis, players alternate who serves in each game. Often players can hold their serving game while breaking your opponent’s serve is far more difficult. Our project examines how important break points are and how break point percentages affect the outcome of a match. Winners were found to have a higher break point percentage by ...Read More

Whether Weather, Wind Speed and Temperature, Impacts Offensive Success in the NFL

In the NFL, when playing in poor weather (cold and/or windy), teams often choose relatively run-heavy gameplans. We examine how different NFL weather conditions impacted the effectiveness of both run and pass plays. Using data from nflfastR, the Expected Points Added (EPA) per play from all plays between 2014-2021, was assessed over different temperatures and ...Read More

Is Everton’s One-Season Drop Off Due to Random or Structural Factors?

As a low scoring sport, soccer has relatively more random outcomes. This project examines the English Premier League team Everton’s results from the 2020-21 and 2021-22 seasons to determine the cause in the observed drop in performance. We find that Everton’s drop off was due mainly to structural factors. Factors which include the departures of ...Read More

Predicting the Quarterback-MVP in the NFL

The NFL MVP award is chosen each year by a panel of 50 sportswriters who are selected by the Associated Press. As the MVP is chosen by humans who do not necessarily base their decision on statistics, but on watching all the games and talking to coaches and players, it is natural to wonder whether ...Read More

Introducing Grid WAR: Rethinking WAR for Starting Pitchers

Traditional methods of computing WAR (wins above replacement) for pitchers are based on an invalid mathematical foundation. Consequently, these metrics, which produce reasonable values for many pitchers, can be substantially inaccurate for some. Specifically, Fangraphs and Baseball Reference compute a pitcher’s WAR as a function of his performance averaged over the entire season. This is ...Read More

Predicting Career Wins Above Replacement from Rookie Stats in Baseball: Addressing the Esteban German Dilemma

Predicting Career Wins Above Replacement from Rookie Stats in Baseball: Addressing the Esteban German Dilemma, by Jack Blumenstein, University of Pennsylvania (Moneyball Academy), Josh Braverman, University of Pennsylvania (Moneyball Academy), Lekh Murthy, University of Pennsylvania (Moneyball Academy), and Wilson Wendt, University of Pennsylvania (Moneyball Academy) Read More

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