gallochris / cbb_conf_index

Shiny app for cbb index

CBB Conference Index

About

Welcome to the college basketball conference index. This project was built by me, Chris Gallo. All code is written in R.

The app is hosted via shinyapps.io, and it can be found here: https://blessyourchart.shinyapps.io/cbb_conf_index/

The goal of this project is to share tables of data about the 2023-24 men's college basketball season. This project is built on top of cbbdata and cbbplotR both developed by Andrew Weatherman.

There are two types of tables that surface the following data:

• Conference standings and point differentials by location
• NET summary by conference

Standings

The standings show win/loss records and point differentials by location (home or away). You can filter by any conference to see the specific data.

The intention is to show the raw point differential in leage play only, so you can quickly grasp the performance of certain teams in conference play only.

If you're looking for adjusted efficiency margin, you can check out other data sources like barttorvik.com or kenpom.com or John Gasaway.

NET Summary

The NET Summary table is a static table that surfaces the home win percentage in conference play, the average NET ranking of teams in a single conference, and the percentage of conference games played in each quadrant.

This can be used as a gauge of quadrant opportunities in conference play. For example, ~60 percent of Big 12 games are in the first quadrant.

Data updates

The data is updated periodically throughout the day.

Thank you

If you found this useful, please consider sharing it. I also write a data visualization newsletter, Bless your chart, about college sports.