A Monte Carlo Approach to Joe DiMaggio and Streaks in Baseball
S. Arbesman, S. H. Strogatz

TL;DR
This paper uses Monte Carlo simulations to analyze the probability of Joe DiMaggio's 56-game hitting streak, revealing it was plausible within baseball history but unlikely in 1941, with implications for understanding streaks in sports.
Contribution
It introduces a Monte Carlo modeling approach to assess the likelihood of historic sports streaks, challenging common perceptions about their rarity.
Findings
A 56-game streak is plausible within baseball history.
Such streaks are unlikely in any given year but occur roughly once per century.
DiMaggio's streak was historically plausible but unexpectedly timed.
Abstract
We examine Joe DiMaggio's 56-game hitting streak and look at its likelihood, using a number of simple models. And it turns out that, contrary to many people's expectations, an extreme streak, while unlikely in any given year, is not unlikely to have occurred about once within the history of baseball. Surprisingly, however, such a record should have occurred far earlier in baseball history: back in the late 1800's or early 1900's. But not in 1941, when it actually happened.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSports Analytics and Performance · American Sports and Literature · Gambling Behavior and Treatments
