Baseball

Throwing by the Numbers: An analytical take on the art of pitching

Pitching philosophy in baseball has long been a game of conventional wisdom. This philosophy always seemed to make sense as the lower the pitch, the easier it is to swing over the top and hit it on the ground. As more data has become available in recent years, batters have started to adjust. As the MLB’s data-driven pitcher/batter pendulum constantly swings in response to such change, one must wonder how traditional attitudes towards fastball locations affect the modern-day MLB pitcher. In QSAO’s latest series of articles, analysts Nic Osanic takes a deeper look into the art of pitching.

Major League Baseball capacity rates: Analyzing fan attendance using panel data

By Cody Smith and Patrick Mills A note from the article’s editor (Anthony Turgelis): This article will read somewhat differently from the rest of our content, as this was a detailed final project for a 4th year Applied Econometrics course at Queen’s. I hope you enjoy the format, as it is more typical for analytics …

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RBIs – Clutch? Or Opportunity? (xRBI)

RBIs are often criticized because they are largely dependent on how many plate opportunities the hitter gets with runners on base. Most analytics experts have dismissed RBIs as a dated stat, but many baseball insiders still claim that they have some relevance. We aim to address these flaws and create a stat that everyone can agree on.

Advanced Baseball Stats for Casual Baseball Fans

By Anthony Turgelis We’ve all seen Moneyball. If you haven’t seen Moneyball, go see Moneyball, it’s on Netflix. The ‘Moneyball Revolution’ within baseball has shaken up the game, and changed the way that executives in baseball are looking at the game. This will be an intro to some of the stats, metrics, and concepts that …

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