What Makes a Team's Winning Percentage Deviate from the Pythagorean Relationship?
| Difficulty | |
| Time Required | Average (6-10 days) |
| Prerequisites | Basic knowledge of Microsoft Excel and statistics |
| Material Availability | Readily Available |
| Cost | Very Low (under $20) |
Abstract
What makes a winning team? Getting all the best players? Good coaches? Good chemistry? This project will show you how you can use math to help you test your hypothesis about what makes a winning team.Objective
The objective of this project is to determine why teams win many more or fewer games than they're expected to based on runs/goals/points scored and allowed.
Credits
Gabriel Desjardins
Share your story with Science Buddies!
Last edit date: 2013-01-10
Introduction
The Pythagorean relationship is a fundamental one in sports: it correctly predicts the records of 98% of all teams. But in 2% of cases, it fails. Why does it fail?
Terms and Concepts
Pythagorean Relationship, Bill James
Experimental Procedure
Find teams that deviated substantially from their expected Pythagorean record (this information is available for baseball teams on www.baseball-reference.com). Then look at their situational statistics (this information is available on ESPN.com) and determine what they did that resulted in more or fewer wins than they otherwise should have had. Determine what the teams have in common.
Share your story with Science Buddies!
Share your story with Science Buddies!
Ask an Expert
The Ask an Expert Forum is intended to be a place where students can go to find answers to science questions that they have been unable to find using other resources. If you have specific questions about your science fair project or science fair, our team of volunteer scientists can help. Our Experts won't do the work for you, but they will make suggestions, offer guidance, and help you troubleshoot.Ask an Expert
Related Links
If you like this project, you might enjoy exploring these related careers:

Statistician
Statisticians use the power of math and probability theory to answer questions that affect the lives of millions of people. They tell educators which teaching method works best, tell policy-makers what levels of pesticides are acceptable in fresh fruit, tell doctors which treatment works best, and tell builders which type of paint is the most durable. They are employed in virtually every type of industry imaginable, from engineering, manufacturing, and medicine to animal science, food production, transportation, and education. Everybody needs a statistician! Read more
Actuary
Life is full of risks to both people and property. Actuaries predict the chances that future negative events will occur in a person's life, and then think of ways to reduce those chances, or reduce the impact of those negative events. Actuaries help bring peace of mind to both families and to businesses. Read more


