Interactive soccer exploration with R

Webscraper for the website www.transfermarkt.com using Python and Selenium.

Webscraper for the website www.whoscored.com using Python and Selenium

The project is a data analysis app in R on the English Premier League with interesting insights on data from the last decade.

Soccer fixtures prediction model. Uses ensemble of different machine learning models to increase prediction accuracy.

clustering soccer player archetypes by using FIFA 2019 player stats data.

Analyze the relationship between expected goals and odds of winning a game in the English Premier League

Code and Shiny App to Generate "Entries into Final 3rd" Soccer viz. (StatsBomb event data).

Weighted Voronoi

How would the EPL league standings look if the games were only 75 minutes long?

Bayesian Modeling to evaluate tactical styles in soccer

Python project trying to facilitate and being a starting point for soccer analytics projects.

A GUI which enables action classification and labelling of soccer player’s action in a broadcast video based on teams. Focus Areas: dribbling,kicking, running and passing using over 2000 sample images Methodology Create a flask application Connect to the User Interface(React) Use the trained model to process video frames Detect the skeleton(s) i…

An interesting project that creatively applied clustering and Association rules mining on soccer match data to find insights for better player formation strategies for soccer teams.

It's a crawler for statistics of corners and goals for the future games and a bot for Telegram to send the statistics.

End to end data science self-learning project. This work focuses on R, tidyverse and tidymodels ecosystem for data wrangling and modeling.

Sentiment Analysis of Soccer Games written in Python using Twitter (Tweepy & TextBlob) and BM25Okapi for context

Sentiment Analysis of Soccer Games written in Python using Twitter (Tweepy & TextBlob) and BM25Okapi for context

Using exploratory data analysis and k-means clustering to analyze competitive balance in soccer/football

Some projects related to the application of Machine Learning for Sports Analytics