Regression to the mean and football wagers
Bibliographic Data
| ID | 12166707 |
|---|---|
| Authors | Marcus Lee (0009-0009-2426-7205, Pomona College), Gary Smith (0000-0002-5173-2741, Pomona College, corresponding author) |
| Year | 2002 |
| Volume | 15 |
| Issue | 4 |
| Pages | 329-342 |
| Publication date | 2002-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Behavioral Decision Making (JOURNAL) |
| Journal identifiers | ISSN: 0894-3257 • E-ISSN: 1099-0771 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/bdm.418 |
| OpenAlex | W2074406792 |
| Language | EN |
| Citations received | 3 |
| References cited | 16 |
Football performances are an imperfect measure of abilities, and consequently exaggerate differences in abilities. The skills of those football teams that perform the best and the worst are not really that far from average; thus their future performances regress to the mean. Betting data indicate that gamblers do not fully account for this regression. Copyright © 2002 John Wiley & Sons, Ltd
College football · Data mining · Econometrics · Economics · Football · Imperfect · Linguistics · Measure (data warehouse · Political science · Regression · Regression analysis · Regression toward the mean · Statistics · Computer Science · Gambling Behavior and Treatments · Law · Mathematics · Psychology · Sports Analytics and Performance · Statistics Education and Methodologies
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| Unique citing works | 3 |
|---|---|
| Citations per year | 0,14 |
| Citation span | 2004 - 2024 (21) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |