Some projects related to the application of Machine Learning for Sports Analytics
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Updated
Dec 26, 2020 - Jupyter Notebook
Some projects related to the application of Machine Learning for Sports Analytics
Some R Analysis
To identify young soccer players who posses the potential to become the next Kylian Mbappé. Also, Linear Regression practice.
Analyze the relationship between expected goals and odds of winning a game in the English Premier League
The developed model aims to classify an individual football player’s playing style solely based on his or hers event data collected from football matches he or she has participated in. Done in collaboration with Football Analytics AB as a masters thesis in engineering physics spring term of 2022, Uppsala University.
Analysis of historical European Premier League football (soccer) matches
Access the site ➡️
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.
parsing and bid analysis of the zulubet website
La Quiniela is the name of a Spanish game of chance, managed by Loterías y Apuestas del Estado, which is based on the First and Second Divisions of football.
EUFA winning team prediction
A repository for exploratory analysis of European football league data using SQL in Python.
Python data analysis and visualization.
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 app performs RoboCup match log analysis
Exercício de HTML + CSS criando uma tabela de campeonato de futebol, realizado durante o programa GODEV implementado pela Ímã Learning Place (Jun/2022 ,Goiás,BR)
Implementation of the VAEP framework including a new version: Hybrid-VAEP.
Simple simulation of Qatar WC 2022 using the FIFA ranking as the input.
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