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Tag: bayesian

Comparing Rookies’ Hitting Prowess to Veterans’

January 26, 2018 Ryan Pollack Baseball Analysis

Yesterday The Hardball Times released its annual compendium of analysis, commentary, history, and fiction. I was lucky enough to be […]

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My Updated Prediction of Aaron Judge’s 2017 Home Run Total

August 15, 2017 Ryan Pollack Baseball Analysis

When I last wrote about Aaron Judge, he’d hit 23 home runs in his first 283 plate appearances. The world […]

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Mike Moustakas is On Track to Set the Kansas City Royals’ Single-Season Home Run Record

July 3, 2017 Ryan Pollack Baseball Analysis

Mike Moustakas is among many hitters taking advantage of the harder baseballs with lower seams that are fueling record-breaking home […]

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How Many Home Runs will Aaron Judge Hit in 2017?

June 20, 2017 Ryan Pollack Baseball Analysis

As an Orioles fan it pains me to write this, but New York Yankees wunderkind Aaron Judge is on a […]

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Demonic Velocity

June 5, 2014 Ryan Pollack Baseball Analysis

In 2014 it seems like every young promising pitcher is going under the knife for Tommy John surgery. Baseball fans, […]

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Preliminary: Using Bayes’s Theorem to Predict the Orioles’ Shot at 94 Wins

December 26, 2013 Ryan Pollack Baseball Analysis

In my previous article, I used Bayes’s theorem to ask the question “if the O’s are at or above .500 […]

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Predicting a Winning Season for the Orioles

December 16, 2013 Ryan Pollack Baseball Analysis

How predictive is the O’s record on July 1 of their season-ending record? I thought about this question a lot […]

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