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Author: jdashbrock

Posted onApril 19, 2021April 19, 2021Hockey

Shot Charts for the NHL and Hockey Analytics

by jdashbrock

There is a surprisingly large – at least to me – online community devoted to Hockey analytics. While I am far from a Hockey expert,…

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Posted onMarch 27, 2021March 27, 2021Basketball

[Quick Hit] Updated 2021 March Madness Predictions – Sweet 16

by jdashbrock

Because of the break in the action, I took the time to update my college basketball rankings in order to make my March Madness predictions…

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Posted onMarch 18, 2021March 18, 2021Basketball

March Madness Machine Learning 2020

by jdashbrock

Not a single sporting event causes more debate, excitement, talk of ‘strength of schedule’, and interest in analytics as March Madness. Every budding data scientist…

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Posted onMarch 6, 2021March 6, 2021Basketball

Efficiency Part 2: A New NBA Offensive Rating and NBA Defensive Rating System

by jdashbrock

Boiling everything down, success in the NBA can be directly linked to offensive efficiency and defensive efficiency. We’ll directly study these concepts with a new…

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Posted onFebruary 20, 2021December 14, 2021Basketball

Pace and Efficiency Part 1: Measuring and Predicting NBA Pace Stats

by jdashbrock

Different NBA teams play at different paces. Many different NBA pace stats exist, but how can we predict the pace of an upcoming game? Do…

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Posted onJanuary 28, 2021January 31, 2023Betting

Super Bowl Squares Probability Charts by Quarter: Which are Best?

by jdashbrock1 Comment on Super Bowl Squares Probability Charts by Quarter: Which are Best?

For those of us who wish the general public to better appreciate mathematics, there are few opportunities that present a better setting than large, commonly…

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Posted onJanuary 19, 2021February 15, 2021Baseball

Solving Baseball Arbitration: Game Theory and a Statistical Model

by jdashbrock4 Comments on Solving Baseball Arbitration: Game Theory and a Statistical Model

In Major League Baseball, arbitration is a process used to determine the salary of young players that are still under team control. Most simply, the…

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Posted onDecember 21, 2020December 22, 2020Basketball

NBA Power Rankings with Bayes Ensemble

by jdashbrock

2020 NBA Power Rankings Designing ways to generate power rankings for a particular league is one of the most important problems in sports analytics. About…

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Posted onDecember 12, 2020December 12, 2020Basketball

Benching Players in Foul Trouble: A non-homogeneous Poisson model for NBA fouls

by jdashbrock

Every sports manager is tasked with making decisions. Typically, they rely on years of experience and expertise in order to make the best decisions possible.…

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Posted onDecember 7, 2020December 7, 2020Mathematics

Ensemble Learning in Sports – Polls, Fantasy Rankings, and Vegas Lines

by jdashbrock1 Comment on Ensemble Learning in Sports – Polls, Fantasy Rankings, and Vegas Lines

Everyone talks about models in sports but not nearly as many people realize that ensemble learning in sports is something we have unwittingly been doing…

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