Using Python and YOLO to build a deep learning model for analyzing soccer videos, including detecting and tracking players, referees, and the ball, and speed of players.

ML soccer-track analysis autonomously

This project implements a real-time object detection system using a custom YOLO model to track players, referees, and the ball in recorded soccer footage. It generates live annotations, including ball possession, player speed, and distance traveled, providing key insights directly on the video feed.

Machine Learning semester project for analysis of European Soccer Data

No description available

An AI/ML soccer analysis system using YOLO, OpenCV, and Python

Soccer_ML_Analysis

No description available

No description available

Data analysis of European Soccer

A computer vision analysis program for a soccer game. Trained using the YOLO object detection system.

AI_ML_FootballAnalysisSystem

Soccer Analysis and Machine Learning

No description available

No description available

No description available

No description available

Analyzing striker performance in 5 European soccer leagues using Machine Learning (Gradient Boosting Classifier). Based on events recorded for each match occurrence of goal is predicted when the striker receives the ball. Based on the expected goals and actual goals strikers in these leagues are analyzed.

A Python application for soccer betting ML analysis

Soccer Player Performance Analysis - R language & ML concepts

This research project aims to harness the power of machine learning and computer vision to analyze soccer players' movements, positions, gestures, physiological data, and biomechanics.

Home Advantage in Soccer: Data Analysis & Predictive Modeling (EDA & ML)

ML model with Pytorch and YOLOv5 for soccer match analysis

Dual-model soccer prediction: ML quantitative analysis + LLM qualitative intelligence for Premier League & UCL betting

ML application to predict overall rating of soccer player based on analysis of playing skills

Advanced soccer analytics application with ML-powered player similarity analysis, position-specific performance evaluation, and comprehensive statistical insights

Soccer analytics project using FIFA 19 data and ML for performance prediction. Model performs well with high accuracy/low RMSE. Potential for FIFA analysis, encouraging advanced modeling/data integration for improved predictions in soccer simulation/sports analytics.

SoccerPredictAI: Open-source project providing accurate soccer match predictions. ML algorithms, data analysis, real-time updates, customizable parameters. User-friendly interface, community contributions, documentation, support. Enhance predictions and gain insights.