A Markov model of football: Using stochastic processes to model a football drive
A team is backed into a 4th-and-26 from their own 25, down 3 points. What are the odds that drive ends in a field goal? In the 2003 playoffs, Donovan McNabb and the Eagles scoffed at such a probability as they converted and ultimately kicked a field goal to send the game into overtime. This study creates a mathematical model of a football drive that can calculate such probabilities, labeling down, distance, and yard line into states in an absorbing Markov chain. The Markov model provides a basic framework for evaluating play in football. With all the details of the model—absorption probabilities, expected time until absorption, expected points—we gain a much greater situational understanding for in-game analysis.
© Copyright 2012 Journal of Quantitative Analysis in Sports. de Gruyter. All rights reserved.
| Subjects: | |
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| Notations: | sport games technical and natural sciences |
| Tagging: | Markov Ketten |
| Published in: | Journal of Quantitative Analysis in Sports |
| Language: | English |
| Published: |
2012
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| Online Access: | http://doi.org/10.1515/1559-0410.1400 |
| Volume: | 8 |
| Issue: | 1 |
| Document types: | article |
| Level: | advanced |