• TBCC 2019 Player One, Power Ups, & Probabilities: Panel Recap

    This panel was held on: Saturday, August 3, 2019 at 3 PM – 4 PM And here was the pitch: Join the data science debate of the highest critically acclaimed video games vs the nostalgia of games we grew up. The data science team at Pancake Breakfast: A Stack Of Stats will be serving up […]


  • Recipe 014: Smash Brothers Main Selection

    In this recipe I’d like you to chow down on a Smash Brother analytical approach to selecting your main character.  The approach I’m going to introduce you puts an emphasis on what makes a character unique.   Before I start diving into the Smash Brothers data, let’s discuss the k-means clustering approach.  A k-means helps […]


  • Recipe: 005 Overwatch League Inaugural Season Logistic Regression

    I’m excited to tackle the Overwatch League and my first dig into E-sports in general.  I’ve attended several conventions, including gaming conventions, and I will get this out of the way now: I thought I was decent at video games… these athletes have shown I’m a very causal player.  This is a good thing, it […]


  • Recipe: 004 A Data Driven Approach During the NBA Pace and Space Era

    The format of this post will be slightly different from previous recipes.  Think of this as a yelp review, I’ll be going sharing the paper I presented during the SESUG 2018 SAS Conference.  This will be wordy than usual, but I will start with the recipe card per usual and then we’ll dive deep into […]