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Journal of Quantitative Analysis in Sports

An official journal of the American Statistical Association

Editor-in-Chief: Rigdon, Steve

Editorial Board Member: Glickman, PhD, Mark

4 Issues per year

CiteScore 2016: 0.44

SCImago Journal Rank (SJR) 2015: 0.288
Source Normalized Impact per Paper (SNIP) 2015: 0.358

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Monte Carlo Simulation for High School Football Playoff Seed Projection

R. Drew Pasteur / Michael C. Janning
Published Online: 2011-05-03 | DOI: https://doi.org/10.2202/1559-0410.1330

In Ohio high school football, playoff teams are selected and seeded using an objective point system. Roughly one-fourth of the state’s teams earn playoff berths, and higher seeds host first-round games. Even in the final week of the season, a team’s playoff chances can depend on the outcomes of dozens of other games, making direct computation of playoff probabilities impractical. To make playoff-related predictions, we first estimate win probabilities for all remaining regular-season games by applying a predictive ranking algorithm, then repeatedly simulate the remainder of the regular season. Using the aggregate results, we predict the playoff qualifiers and seeds, and also estimate conditional probabilities (based on the number of future wins) that particular teams earn a berth or a home game. In tracking the results of this model over two seasons, we find that modeling future games substantially increases the accuracy of seed predictions, but adds far less value in predicting the qualifying teams. This phenomenon may be related to the specificity of seed prediction, as compared to the more general nature of predicting a group of teams likely to qualify. That is, the additional information is most useful when making more specific predictions.

Keywords: Monte Carlo simulation; high school football; playoff; tournament; seed; Harbin; Ohio; OHSAA

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Published Online: 2011-05-03

Citation Information: Journal of Quantitative Analysis in Sports, ISSN (Online) 1559-0410, DOI: https://doi.org/10.2202/1559-0410.1330.

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©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston. Copyright Clearance Center

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