A PageRank-Based Method for College Football Recruiting Rankings

Sergiy Butenko (), Andrew Johnson (), Erick Moreno-Centeno () and Justin Yates ()
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Sergiy Butenko: Texas A&M University
Andrew Johnson: Texas A&M University
Erick Moreno-Centeno: Texas A&M University
Justin Yates: American Airlines

A chapter in Artificial Intelligence, Optimization, and Data Sciences in Sports, 2025, pp 309-332 from Springer

Abstract: Abstract This chapter applies an analytical method, PageRank, to rank the recruiting classes for teams in the Football Bowl Subdivision (FBS) based upon two pieces of data: (1) the list of teams reported to have extended formal offers to each player that signed a commitment letter and (2) the actual signing team for each player. Despite the limited inputs, PageRank develops similar rankings as those developed using expert opinions and published by major media outlets without the need for costly experts or national tours. The performance of the method is demonstrated using the National Signing Day data for three consecutive years.

Keywords: College football; Ranking; PageRank method (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-031-76047-1_12

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