A mixture-of-modelers approach to forecasting NCAA tournament outcomes

LH Yuan, A Liu, A Yeh, A Kaufman, A Reece… - Journal of Quantitative …, 2015 - degruyter.com
Predicting the outcome of a single sporting event is difficult; predicting all of the outcomes for
an entire tournament is a monumental challenge. Despite the difficulties, millions of people …

Random knockout tournaments

I Adler, Y Cao, R Karp, EA Peköz… - Operations …, 2017 - pubsonline.informs.org
We consider a random knockout tournament among players 1,…, n, in which each match
involves two players. The match format is specified by the number of matches played in each …

Modeling the winning seed distribution of the NCAA Division I men׳ s basketball tournament

A Khatibi, DM King, SH Jacobson - Omega, 2015 - Elsevier
Abstract The National Collegiate Athletic Association׳ s (NCAA) men׳ s Division I college
basketball tournament is an annual competition that draws widespread attention in the …

Seed distributions for the NCAA men's basketball tournament

SH Jacobson, AG Nikolaev, DM King, AJ Lee - Omega, 2011 - Elsevier
Bracketology, the art of successfully picking all the winners in the National Collegiate
Athletic Association's (NCAA) annual men's Division I college basketball championship …

Predicting the outcomes of NCAA basketball championship games

HO Stekler, A Klein - Journal of Quantitative Analysis in Sports, 2012 - degruyter.com
This paper uses the difference in seeding ranks to predict the outcome of March Madness
games. It updates the Boulier-Stekler method by predicting the outcomes by rounds. We also …

Predicting the NCAA basketball tournament using isotonic least squares pairwise comparison model

A Neudorfer, S Rosset - Journal of Quantitative Analysis in Sports, 2018 - degruyter.com
Each year, millions of people fill out a bracket to predict the outcome of the popular NCAA
men's college basketball tournament, known as March Madness. In this paper we present a …

The advantage of experience: Analyzing the effects of player experience on the performances of March Madness teams

ND Pifer, TD DeSchriver, TA Baker III… - Journal of Sports …, 2019 - content.iospress.com
Every March a sample of the top Division I men's basketball programs in the National
Collegiate Athletic Association (NCAA) gather to compete in March Madness, a grueling …

Models for generating NCAA men's basketball tournament bracket pools

IG Ludden, A Khatibi, DM King… - Journal of Quantitative …, 2020 - degruyter.com
Each year, the NCAA Division I Men's Basketball Tournament attracts popular attention,
including bracket challenges where fans seek to pick the winners of the tournament's …

Competitive balance in the NBA playoffs

I Horowitz - The American Economist, 2018 - journals.sagepub.com
The uncertainty-of-outcome hypothesis suggests that, subject to a rooting-interest constraint,
fans prefer competitive sporting events with uncertain outcomes. In a logical extension of …

[图书][B] Improving Your NCAA® Bracket with Statistics

T Adams - 2019 - books.google.com
Twenty-four million people wager nearly $3 billion on college basketball pools each year,
but few are aware that winning strategies have been developed by researchers at Harvard …