Torvaney / moneyline-team-strengthsView external linksLinks
Code, analysis, and data for estimating team strengths from odds data
☆13Nov 24, 2017Updated 8 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:
- Project evaluating player skill under pressure using Statsbomb public event level data☆11Jun 22, 2019Updated 6 years ago
- This repository includes all the code and data used for developing the expected league points above replacement for soccer as described i…☆14Jan 22, 2019Updated 7 years ago
- A minimal R package to fetch data from football-data.co.uk☆23Apr 13, 2021Updated 4 years ago
- ☆114Mar 30, 2024Updated last year
- Resources for Teaching Statistics Using Baseball, 2nd Edition by Jim Albert☆15May 4, 2017Updated 8 years ago
- A new and non-invasive method of tracking Players in a Soccer Match.☆19Apr 22, 2019Updated 6 years ago
- ☆11Sep 30, 2022Updated 3 years ago
- all things hockey☆22Aug 2, 2021Updated 4 years ago
- NCAA men's basketball data scraping and bracketology R package☆23Mar 21, 2025Updated 10 months ago
- Backtesting team-strength models☆21Jun 2, 2024Updated last year
- mess with the NHL data API☆11Jun 5, 2019Updated 6 years ago
- Unsupervised Machine Learning project for evaluating 2017-18 NBA player similarity☆13Sep 25, 2019Updated 6 years ago
- Notes from my data science escapades in Python.☆12Jun 17, 2024Updated last year
- A growing collection of college basketball visualizations and their source code☆14Dec 30, 2023Updated 2 years ago
- This is an R translated version of Devin Pleuler's Applied Soccer Analytics with Python☆10Mar 14, 2019Updated 6 years ago
- Contains code and content output for assignments for the Uppsala University Mathematical Modelling of Football course.☆14Nov 15, 2020Updated 5 years ago
- Modeling and Simulation for the 2018 FIFA World Cup☆10Jul 15, 2018Updated 7 years ago
- xG Model predicts the probability of scoring goals from different points on the pitch.☆12Dec 9, 2020Updated 5 years ago
- ☆14Dec 17, 2024Updated last year
- Interactive R tutorials for SPMC350 at the University of Nebraska-Lincoln's College of Journalism and Mass Communications☆14Jan 5, 2026Updated last month
- MLS and NWSL play-by-play data☆13Jun 29, 2022Updated 3 years ago
- A collection of projects done for the Yale Undergraduate Sports Analytics Group☆12Dec 14, 2018Updated 7 years ago
- Files used for Senior Thesis (Yale University, Spring 2019)☆11Oct 3, 2019Updated 6 years ago
- Application for generating college football score and win probability predictions using neural networks☆12Dec 21, 2017Updated 8 years ago
- Using machine learning to predict the All-NBA teams☆12Feb 4, 2020Updated 6 years ago
- ☆28Sep 18, 2023Updated 2 years ago
- This is a Wrapper over the data sets provided at football-data.co.uk☆28Sep 21, 2017Updated 8 years ago
- ☆12Sep 3, 2020Updated 5 years ago
- Regulation playing surfaces for sports data visualization☆13Dec 17, 2022Updated 3 years ago
- API to scrap data from dynamic webpages. (say tables on Sports Reference websites)☆14Apr 18, 2020Updated 5 years ago
- An R package to extract common schedule and travel metrics for NBA teams.☆22Dec 15, 2024Updated last year
- Schemas and queries using a PostgreSQL version of the Lahman Database and Retrosheet Database☆13Dec 15, 2015Updated 10 years ago
- ETL functionality for Statcast data☆13Nov 8, 2019Updated 6 years ago
- ☆14Apr 17, 2020Updated 5 years ago
- An MLS form guide, because the league stopped providing one☆16Jan 28, 2026Updated 2 weeks ago
- Lacrosse data and analytics☆16Apr 8, 2023Updated 2 years ago
- Home of the 2020 SIS Analytics Challenge☆14Jun 24, 2021Updated 4 years ago
- An R package for soccer modelling☆92Nov 17, 2025Updated 3 months ago
- R package to scrape live sports betting odds☆66Dec 9, 2016Updated 9 years ago