Project that uses the Strava API to download and analyze cycling training data
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Updated
Oct 23, 2022 - Python
Project that uses the Strava API to download and analyze cycling training data
Python library for querying API-Sports.io
Laravel webapp to log sport performances, backend to https://github.com/jojoc4/ezworkout-android android app (2020)
A look at how rest impacts results in soccer and tennis
💪 The place for Wildbarz's street workout New-Caledonia's athletes data
A soccer analytics project ranking players' offensive influence in the passing networks. Networks are built with Statsbomb event data. A custom xT grid for the targeted matches are generated using socceraction codes and combined with the starting & ending locations of the passes. This is the main weight in our Weighted PageRank Algorithm.
Package to let you easily represent and progress Bracket-style single elimination Tournaments, allowing you to focus on matchup logic and analysis without worrying about the boilerplate. Supports 2, 4, 8, 16, 32, 64...2^n starting teams.
Sport City Приложение для поиска ближайших спортивных сооружений и организаций по выбранному виду спорта в Красноярске.
My hockey data visualizations.
⚽ 📰 Web application for the collection and presentation of sports informations (sports information portal)
Sports betting isn’t just about feeling lucky—it’s about thinking logically, reading between the lines, and acting with clarity. At Parlay Proz, we’ve built the foundation of your success through technology, clean data, and unmatched precision.
Paraglider Flight Log allows to keep track of the flight of several paraglider pilots along with the flying site and the gear that each pilot used.
iOS App about Watching stats of today's NBA games
I wanted to find out: Do NBA teams in the regular season only care about defense in the 4th quarter? -->Statistical analysis of 4th quarter in comparison to the first three quarters. The data are from the 2019/2020 NBA season
A JavaScript-based web app for displaying stats and scores for a variety of sports. All other stats are calculated from the play-by-play, which minimizes the amount of data that needs to sent over the network.
This data science project attempts to predict whether Tennessee State University will win or lose a football game using data from 2003 to 2019.
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