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

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

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

🏅 AI-спорттех — SportTechCup 2024

Metrics to analyze table tennis games

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.

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…

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