|
Activity Number:
|
77
|
|
Type:
|
Roundtables
|
|
Date/Time:
|
Monday, July 30, 2007 : 7:00 AM to 8:15 AM
|
|
Sponsor:
|
Section on Statistics in Sports
|
| Abstract - #308527 |
|
Title:
|
Moneyball and the NFL: Can It work?
|
|
Author(s):
|
Keith Schleicher*+
|
|
Companies:
|
Capital One
|
|
Address:
|
11813 Alder Ridge Place, Glen Allen, VA, 23059,
|
|
Keywords:
|
Sports ; Football ; Moneyball ; NFL ; Quarterback
|
|
Abstract:
|
Michael Lewis's best-seller Moneyball showed how one baseball team used statistical analysis to gain a competitive advantage. Could the same hold true for professional football? Can an NFL team help itself by using statistical analysis to inform personnel decisions, game preparation, and in-game decisionmaking? Some possible questions to consider are: 1. Can a college quarterback's performance be normalized for the game situations in which he played and the caliber of the opponent?; 2. How good is the NFL QB rating at comparing the performance of quarterbacks?; 3. If one kick can decide the outcome of a game, why is the kicker among the lower paid positions in football?
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2007 program |
