Name
Tennis Analytics (Jaden Astle)
Date & Time
Friday, April 11, 2025, 2:20 PM - 3:30 PM
Description

This goal of this presentation is to demonstrate different tennis analyses using Python. We will be using different Python packages to explore various information such as serving success, performance under pressure, and offensive/defensive playstyles. The data will be collected from the Association of Tennis Professionals (ATP) Tennis Statistics dataset, created by Jeff Sackmann.

Prerequisites: Familiarity with Python & Jupyter Notebooks

Training Materials on GitHub.
Location Name
1413B
Full Address
Kline Tower
219 Prospect St
13th and 14th Floors, Registration Table in Room 1401
New Haven, CT 06511
United States
Session Type
Workshop
Virtual Event Link
Title
Tennis Analytics
Abstract
This goal of this presentation is to demonstrate different tennis analyses using Python. We will be using different Python packages to explore various information such as serving success, performance under pressure, and offensive/defensive playstyles. The data will be collected from the Association of Tennis Professionals (ATP) Tennis Statistics dataset, created by Jeff Sackmann.

Prerequisites: Familiarity with Python & Jupyter Notebooks
Speaker Bio
Jaden Astle is a fourth-year undergraduate at UConn studying Statistical Data Science & Cognitive Science with a minor in Computer Science. He previously interned as a Data Engineer for The Hartford Insurance, where he focused on developing a model training pipeline that was supported by the AWS Cloud. Jaden serves as the President of UConn's Data Science Club, where he leads technical workshops and helps plan other professional development events.
Speaker Headshot