Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

"Predicting Ball Location From Optical Tracking Data" - contains data analysis, model development and testing

A minimalistic toolbox for extracting features from sports activity files written in Python

A collection of literature on the use of computational intelligence methods in sports

This project was developed in Java, using the Java Swing library to create an intuitive and friendly user interface. Its main purpose is to assist in the management of statistics on volleyball matches and players, simplifying the process of collecting, analyzing and visualizing essential data for the performance of teams and athletes.

Metrics to analyze table tennis games

In this project, we created an 'expected goals' metric to help us assess a team's performance rather than the actual number of goals scored. We merged this metric with the calculation of a team's offensive and defensive ratings, which are updated after every game, to create a classification model that predicts the outcome of future matches, as w…

Statistical analysis of elite chess ahead of the 2020/21 FIDE Candidates

Bachelor Thesis application backend

🏅 AI-спорттех — SportTechCup 2024

A custom Airbyte connector to fetch football data from the Football-Data.org API. It allows users to retrieve match results, league tables, and player statistics for specific leagues, making it a versatile tool for football data analysis.

This repo hosts the source code of tncad articles with a private motivation. Those include Sport performance and Web analytics in Python and Scala.

An arbitrage calculator for 2 opposing odds on a bookie or bookies—on bets.

Implementation of the VAEP framework including a new version: Hybrid-VAEP.