xzhangfox / Football-Prediction-by-Bayesian-Method
Established Bayesian models and leveraged historical data to predict home and away teams’ performance. Achieved over 80% prediction accuracy of winning percentage and 53% of the goal prediction.
☆16Updated 5 years ago
Alternatives and similar repositories for Football-Prediction-by-Bayesian-Method:
Users that are interested in Football-Prediction-by-Bayesian-Method are comparing it to the libraries listed below
- Predicting soccer matches outcomes with machine learning as time series.☆103Updated 2 years ago
- Python implementation of various soccer/football analytics methods such as Poisson goals prediction, Shin method, machine learning predic…☆66Updated 2 years ago
- ⚽ High-performance football analytics toolkit: scrape data, model matches, rank teams, and bet smarter | Powered by pena.lt/y/blog 🚀☆64Updated last week
- A multiplicative rating model for football written in Python☆18Updated this week
- Models for estimating football (soccer) team-strength☆36Updated 3 years ago
- Documentation, guides and articles on creating, developing and implementing automated betting strategies, using data analysis to inform b…☆53Updated this week
- Apply machine learning to predict English Premier League soccer match.☆63Updated 3 years ago
- ☆111Updated last year
- Create a database of ⚽️ data from understat.com☆27Updated 3 years ago
- A Python package for training and analyzing expected goals (xG) models in soccer.☆182Updated 9 months ago
- Data and analysis about the FiveThirtyEight Club Soccer Predictions☆15Updated last year
- This model predicts and bets on every NBA game in a season.☆15Updated 4 years ago
- A sports data scraping and analysis tool☆89Updated 2 years ago
- An algorithmic web scraper for identifying positive EV sports bets, complete with historical betting data and notifications.☆18Updated last year
- A tutorial on using cross validation and calibrating predictions for expected goals models in soccer☆34Updated 4 years ago
- ☆9Updated last week
- This project pulls past game data from api-football, and uses this to predict the outcome of future premier league matches with the use o…☆235Updated 9 months ago
- Betting on the NBA with data☆146Updated 3 months ago
- Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.☆173Updated 7 months ago
- A collection of python scripts to collect, clean and visualise odds for football matches from Betfair, as well as perform machine learnin…☆29Updated 7 years ago
- Find the packing rate in football (soccer)☆19Updated 4 years ago
- Python implementation of Shin's method for calculating implied probabilities from bookmaker odds☆82Updated 2 months ago
- This project aims to rate football players using data and statistics recorded from the last match they participated in. Much of the code …☆12Updated 3 years ago
- A repository with scraping code and soccer dataset from understat.com.☆63Updated 3 years ago
- Detect the most trustworthy tomorrow's English Premier League game (if any), based on historical betting odds data and the given odds for…☆20Updated 7 years ago
- An R package for soccer modelling☆87Updated 3 years ago
- A data-driven approach to predicting football match outcomes using advanced machine learning techniques. This project integrates various …☆26Updated last year
- Project holding various data for the worldfootballR R package☆66Updated this week
- Synchronise event and tracking data using dynamic programming☆59Updated last year
- ☆95Updated 2 years ago