Visualization of Sports Data
Baseball's rich history is accompanied by complex player statistics. Sabermetrics, developed by Bill James, offers a scientific approach to analyzing baseball data. This project aims to create an interactive website to make baseball statistics more accessible to fans, providing educated predictions using probability and win probability calculations based on player stats and game situations. By pulling data from Baseball Reference via API and designing user-friendly visuals, this initiative seeks to enhance understanding and appreciation of player performance in the game.
Uploaded on Mar 03, 2025 | 0 Views
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
Visualization of Sports Data Team Sportsball Aaron Pacheco, Nathan Wardinsky, Alejandra Zacarias, Gustavo Jimenez
Background Baseball has a long history dating back to the 19th century Such a long history has come with a trove of player statistics In 1980, statistician Bill James developed Sabermetrics a scientific analysis of baseball stats, explaining how teams win or lose
Problem Baseball is a very stat heavy game that can be confusing to new fans. Baseball teams and older fans sometimes do not accurately assign value to certain attributes of players or they will over value less important factors when evaluating a player or team.
Solution Develop an interactive website that simplifies baseball stats for less experienced fans through visualizations. Provide educated predictions using probability By applying sabermetrics, we can calculate win probability based on a player s stats and the game s current state
Implementation Pull Data with an API from Baseball Reference Put pulled stats into equations designed to objectively measure players Make the data easy to understand for the user and explain how they should value the player with the given data. Make predictions using probability to try and predict future outcomes in upcoming games.
Potential Issues Automatically obtaining data in the correct format, as opposed to manual setup Data storage should allow easy filtering, enabling users to utilize the information at their discretion for interactivity Ensuring the website is user-friendly and the visuals are easily comprehensible
