danielkorzekwa / oddschecker-api
Automatically exported from code.google.com/p/oddschecker-api
☆9Updated 9 years ago
Alternatives and similar repositories for oddschecker-api:
Users that are interested in oddschecker-api are comparing it to the libraries listed below
- A package to parse NBA play by play pandas dataframes and calculate statistics☆16Updated 2 years ago
- Using k-means clustering to group NBA players by role☆12Updated 5 years ago
- A Python Library for Consuming Transactions from Pro Sports Transactions (https://www.prosportstransactions.com)☆13Updated last year
- Reproduction of football models in Stan☆36Updated 3 years ago
- ☆11Updated 2 years ago
- Working through Basketball Data Science☆24Updated 4 years ago
- ☆9Updated 5 years ago
- Code examples for using the pbpstats.com API☆16Updated 2 years ago
- An R package for working with NCAA Men's Basketball play-by-play data from STATS LLC's GameZone.☆19Updated last year
- Python package that wraps the ASA API☆48Updated last week
- R package to scrape live sports betting odds☆60Updated 8 years ago
- Quantitative predictor of future football scores.☆10Updated 8 years ago
- Repository for the 'Player Chemistry: Striving for a Perfectly Balanced Soccer Team' paper.☆32Updated last year
- Convert StatsBomb's JSON data into easy-to-use CSV format.☆53Updated 10 months ago
- Betting data and analytics.☆35Updated 3 years ago
- ☆12Updated 6 years ago
- ⚽ High-performance football analytics toolkit: scrape data, model matches, rank teams, and bet smarter | Powered by pena.lt/y/blog 🚀☆65Updated this week
- ☆29Updated 5 months ago
- R Package for Sports betting☆69Updated last year
- ☆10Updated 5 years ago
- Models for estimating football (soccer) team-strength☆36Updated 3 years ago
- How to parse play by play☆15Updated 4 years ago
- A scraper to scrape the NBA API and compile a play by play file☆75Updated 2 years ago
- Synchronize soccer event and tracking data☆35Updated 10 months ago
- Archive of NBA Elo data (updated from FiveThirtyEight version)☆13Updated 3 weeks ago
- A python implementation of the paper Wide Open Spaces: A statistical technique for measuring space creation in professional soccer☆22Updated 4 years ago
- Implementing ASA's Win Probability Model☆18Updated 2 years ago
- ☆31Updated 7 years ago
- Scrape publicly available football data and store in a MySQL database☆23Updated 8 years ago
- A new and non-invasive method of tracking Players in a Soccer Match.☆18Updated 5 years ago