Torvaney / moneyline-team-strengthsLinks
Code, analysis, and data for estimating team strengths from odds data
☆13Updated 7 years ago
Alternatives and similar repositories for moneyline-team-strengths
Users that are interested in moneyline-team-strengths are comparing it to the libraries listed below
Sorting:
- This is an R translated version of Devin Pleuler's Applied Soccer Analytics with Python☆10Updated 6 years ago
- A collection of projects done for the Yale Undergraduate Sports Analytics Group☆12Updated 6 years ago
- Track xy coordinates of events on a soccer pitch☆24Updated 8 years ago
- Men's College Basketball Play by Play Data☆36Updated 4 years ago
- Resources for Teaching Statistics Using Baseball, 2nd Edition by Jim Albert☆15Updated 8 years ago
- This repository includes all the code and data used for developing the expected league points above replacement for soccer as described i…☆14Updated 6 years ago
- ☆11Updated 3 years ago
- A growing collection of college basketball visualizations and their source code☆14Updated last year
- A minimal R package to fetch data from football-data.co.uk☆23Updated 4 years ago
- Files used for Senior Thesis (Yale University, Spring 2019)☆11Updated 6 years ago
- ☆14Updated 7 years ago
- Regulation playing surfaces for sports data visualization☆13Updated 2 years ago
- An R package for working with NCAA Men's Basketball play-by-play data from STATS LLC's GameZone.☆19Updated 2 years ago
- ☆28Updated 2 years ago
- Home of the 2020 SIS Analytics Challenge☆14Updated 4 years ago
- An implementation of Karun Singh's Expected Threat with R. Data in the SPADL form is required.☆22Updated 4 years ago
- Modeling and Simulation for the 2018 FIFA World Cup☆10Updated 7 years ago
- ☆32Updated 7 years ago
- ☆12Updated 7 years ago
- Reproduction of football models in Stan☆36Updated 4 years ago
- This repository contains data, code, manuscripts and presentation materials related to a project on zone entries in the NHL.☆23Updated 5 years ago
- all things hockey☆22Updated 4 years ago
- a shot at coordinating open source football analytics builders to work towards common standards with interoperability as the goal☆19Updated 3 years ago
- Marcel projections☆17Updated 5 years ago
- A package to parse NBA play by play pandas dataframes and calculate statistics☆16Updated 2 years ago
- ☆39Updated 6 years ago
- ☆15Updated 8 years ago
- An R package to extract common schedule and travel metrics for NBA teams.☆22Updated 10 months ago
- Betting data and analytics.☆42Updated 5 months ago
- ☆14Updated 3 years ago