What is the probability of a male tennis player winning the US Open?
Project by Polygence alum Krithin
Project's result
My research paper found the top 10 ranked tennis athletes and their respective probabilities to win the 2024 US Open.
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Summary
Predicting match outcomes in tennis poses a significant challenge due to the sport's unpredictable nature and the influence of numerous factors on player performance. This study seeks to forecast the top 10 ranked athletes and their respective winning probabilities to win the 2024 US Open Men's Championship using Logistic Regression. The research analyzes data from US Opens from 2016 to 2023. The primary variables selected for the analysis are the winner's rank and the opponent's rank, applied in a logistic regression model using an 80/20 train-test split. The test accuracy was 68%. The probability of winning the US Open was also calculated for the top 10 ranked players, finding that the No.1 ranked player’s probability of winning the US Open was 3.1%. As No.1 seeds have won 28.9% of the men’s US Open singles tournaments, this suggests that using the player’s and opponent’s rank is insufficient to determine the probability of an individual winning the US Open.
Jeff
Polygence mentor
PhD Doctor of Philosophy candidate
Subjects
Computer Science, Quantitative
Expertise
Statistical Analysis, including regression analysis, machine learning, and use of R and Python. Statistical analysis in topics such as politics, physics, chemistry, astronomy, public health, and medicine. Biostatistical Analysis, including longitudinal studies and survival analysis
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Krithin
Student
Graduation Year
2026
Project review
“I had a nice mentor that was very encouraging and helped a lot.”
About my mentor
“Mr. Yoder was one of the best mentors I could ask for and he really surpassed my expectations because of his helpfulness.”
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