A new approach to bracket prediction in the NCAA men's basketball tournament based on a dual-proportion likelihood

AA Gupta - Journal of Quantitative Analysis in Sports, 2015 - degruyter.com
The widespread proliferation of and interest in bracket pools that accompany the National
Collegiate Athletic Association Division I Men's Basketball Tournament have created a need …

The effect of seeding on tournament outcomes: Evidence from a regression-discontinuity design

O Engist, E Merkus… - Journal of Sports …, 2021 - journals.sagepub.com
Seeding in tournaments is a process of creating a schedule based on performance in the
recent past. It is used in many athletic disciplines to ensure that particularly attractive match …

Who won the social media March Madness bracket? Demand shifters for Twitter followers

S Kim, H Cho, EM Newell, HW Lee - Telematics and Informatics, 2021 - Elsevier
Social media has become an essential set of platforms for sport teams and organizations to
engage, interact, and connect with their fan bases. From an analytic approach to fan …

A new knockout tournament seeding method and its axiomatic justification

A Karpov - Operations Research Letters, 2016 - Elsevier
A new set of axioms and new method (equal gap seeding) are designed. The equal gap
seeding is the unique seeding that, under the deterministic domain assumption, satisfies the …

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 …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

[HTML][HTML] An easily implemented and accurate model for predicting NCAA tournament at-large bids

BJ Coleman, JM DuMond… - Journal of Sports …, 2016 - content.iospress.com
We extend prior research on the at-large bid decisions of the NCAA Men's Basketball
Committee, and estimate an eight-factor probit model that would have correctly identified …

A theory of knockout tournament seedings

A Karpov - 2015 - econstor.eu
This paper provides nested sets and vector representations of knockout tournaments. The
paper introduces classification of probability domain assumptions and a new set of axioms …

March Madness Prediction Using Quantile Regression

K Mays - 2022 - search.proquest.com
Abstract The annual NCAA Division I men's basketball tournament is one of the most
prominent sporting events in the United States and the subject of much interest among fans …