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Analysis

A 8-post collection

Page 1 of 1

Talking Tech: Applying LRMC Rankings to College Football, Part Two

The previous post in this series covered how LRMC works and its mathematical implementation. Now it's time to take things a step further and apply this concept to ranking college football teams. »

    John EdwardsJohn Edwards
12 min read

Talking Tech: Calculating SRS (Pandemic Edition)

You might wonder, why is it so difficult to calculate some of these metrics? We have games and data, right? While that may be true, there are several factors that serve to complicate things this season. »

    BillBill
16 min read

Analyzing Variable Importance in CFB Machine Learning Models

As always with machine learning models, a common question that comes up is “Why?”. Why did the model choose this team to win vs. the other? What variables are the most and least influential in a given predictive model? Time to take a deep dive. »

    Matt BMatt B
12 min read

CFBD: Using machine learning to predict game outcomes and spreads

Predictive models for college football are a great application of machine learning techniques. Today, we'll look at one technique called gradient boosted decision trees using the LightGBM and NGBoost libraries. »

    Matt BMatt B
5 min read

Making charts with Plotly and the CFBD Python library

It's been awhile since I've done one of these. If you're familiar with my Talking Tech series, this entry will be much shorter. If you follow »

    BillBill
6 min read

The Four Quadrants of College Football

College football can be confusing. It feels like a 13 game regular season can have so many twists and turns that the team you are watching »

    EvanEvan
4 min read

By The Numbers: Previewing the National Championship Game

Welcome to By The Numbers, a series in which I plan to preview upcoming games using numerical analysis. I hope to make this a regular feature »

    BillBill
8 min read

Talking Tech: Charting Data with Plotly

In the last edition of Talking Tech, we created our own rating system using an SRS algorithm. We're going to build off of that work to »

    BillBill
13 min read
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