Some R Analysis
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Updated
Aug 4, 2023
Some R Analysis
To identify young soccer players who posses the potential to become the next Kylian Mbappé. Also, Linear Regression practice.
Interactive data analysis of UEFA Euro Championships using Python, Streamlit, and Plotly.
R을 이용한 FIFA 21 선수 데이터셋에 대한 분석
Code of the article Early Prediction of Physical Performance in Elite Soccer Matches—A Machine Learning Approach to Support Substitutions, Entropy, Data Analytics in Sports Sciences: Changing the Game, 2021
sportcasterai v2.0 is a real-time video-based goal prediction analysis tool
clustering soccer player archetypes by using FIFA 2019 player stats data.
This project strives to show how one can begin to understand soccer (fútbol) set piece strategy with event tracking data.
Research conducted with STU over the summer of 2021. R used as main language.
A web scraper focused on collecting soccer player transfers from Transfermarkt.
Python data analysis and visualization.
This repository consists the supplemental materials of the paper "Decomposition of Expected Goal Models: Aggregated SHAP Values for Analyzing Scoring Potential of Player/Team".
Assessing the impact of coach interventions in player lineups in sports using machine learning models.
Percentile Rank vs Premier League Att Mid / Wingers | Season 2022-23 of Mohamed Salah 📊, The data was obtained from fbref.com and the chart was created using the Matplotlib library in Python.
This repository contains results of an exploratory data analysis with visualisation performed on nearly 11,000,000 entries across the European Soccer (Football) Database, based in the SQLite database engine, from Kaggle using SQL (SQLite) in Python.
Analysis of historical European Premier League football (soccer) matches
Access the site ➡️
Data Science Project Using Soccer Data
The written report and jupyter notebook (HTML format) for the investigate a data set project. The selected database is the European Soccer Database hosted on Kaggle.
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