College
College of Science and Engineering
Major
Mathematics
Faculty Mentor
John Carter
Faculty Editor
Mark MacLean
Student Editor
Amelia Carey
Abstract
As if being the first Wimbledon winner in over 20 years whose name wasn’t Djokovic, Federer, Murray, or Nadal wasn’t enough, Carlos Alcaraz’s victory was even more astonishing considering he came back after being handily dealt with by Djokovic in the first set of the final 1-6. Alcaraz’s miraculous recovery might be explained by a shift of flow in the game in his favor. In this paper, we compare two models that both interpret a small amount of past data within a given tennis match to determine which player has the current advantage, or “flow,” in the next game. We then analyze the data provided to us, determine the advantages one player may have over another, and use them to further enhance our models. Afterward, we discuss our findings and how our model could be improved. We finish by generalizing our model to predict what would change if the tournament was held on a different playing surface or if it was used in Women’s Professional Tennis.
Recommended Citation
Baldwin-McCurdy, Patrick; Habib, Alexander; and Joseph, Abey
(2025)
"Modeling and Predicting Momentum in Tennis Games,"
SUURJ: Seattle University Undergraduate Research Journal: Vol. 9, Article 18.
Available at:
https://scholarworks.seattleu.edu/suurj/vol9/iss1/18