EconPapers    
Economics at your fingertips  
 

National Football League: 2018–2019 Season

Leonard C. MacLean and William T. Ziemba

Chapter 13 in Sports Analytics, 2022, pp 167-176 from World Scientific Publishing Co. Pte. Ltd.

Abstract: In this chapter we review the 2018–2019 NFL season analyzing strategies, prediction models, odds and discussing bets Ziemba made. We predict the number of games various teams will win and compare the predictions with the results. We discuss the top players and the awards and the playoffs and Superbowl.

Keywords: Sports Analytics; Statistical Analysis of Sports Decisions; NFL Football; Thoroughbred Racing; Basketball; Baseball; Hockey; Jai Alai; Optimal Betting Strategies; Mean Reversion Risk; Arbitrage; Decision Strategies by Coaches (search for similar items in EconPapers)
JEL-codes: C1 L83 Z2 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789811250217_0013 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789811250217_0013 (text/html)
Ebook Access is available upon purchase.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789811250217_0013

Ordering information: This item can be ordered from

Access Statistics for this chapter

More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-04-13
Handle: RePEc:wsi:wschap:9789811250217_0013