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Soccer Science Fair Project: Air Pressure & Distance ...

Data chart ; Introduction. This soccer science fair project serves to acquaint students with basic information on how the amount of air in a soccer ball can affect the distance it travels when kicked with a consistent force. The greater the air pressure in the ball, the farther it will travel when a force is applied.

Using Data Science to Analyse Player Performance in Football ...

Using data science and machine learning within a team is not new, in fact the sports world is completely saturated with statistics. Understanding new ways and using new technologies to make use of the multitude of data that exists in the sports world can help give teams and coaches an edge over their opponents, regardless of the sport.

Hypothesis Testing European Soccer Data Using Python | by ...

We used a European Soccer Database from Kaggle.com to explore these hypotheses, given a sqlite3 database with 7 data tables covering over 25,000 historical soccer matches, 10,000 players, and teams (player & team ratings assessed by EA Sports) from 11 European countries from 2008–2016. To summarize our approach in terms of individual ...

football-data · GitHub Topics · GitHub

⚽ 📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

Learn Python with Football - FC Python

Learn Python & Data Science With Football FC Python is a project that aims to put accessible resources for learning basic Python, programming & data skills in the hands of people interested in sport. Whether you are a Sports Science student, a coach, or anyone with a passing interest in football – the tools shown across these pages will help you to get started with programming and using data with Python.

Soccer Data Science Projects - Image Results

More Soccer Data Science Projects images

GitHub - alexattia/Data-Science-Projects: DataScience ...

Playing with Soccer data. As a soccer fan and a data passionate, I wanted to play and analyze with soccer data. I don't know currently what's the aim of this project but I will parse data from diverse websites, for differents teams and differents players. NYC Taxi Trips. Kaggle playground to predict the total ride duration of taxi trips in New ...

Soccer Data Analysis - Jiayi's Blog

This European Soccer Database has more than 25,000 matches and more than 10,000 players for European professional soccer seasons from 2008 to 2016. Although we won’t be getting into the details of it for our example, the dataset even has attributes on weekly game updates, team line up, and detailed match events.

Sports Science Science Projects - Science Buddies

Sports Science Science Projects. (57 results) Top athletes and coaches use a whole lot of science and engineering to improve performance and increase the chances of winning. Technologies like better tennis rackets, sleeker running and swimming outfits, and aerodynamic soccer balls, mean that current athletes are breaking world records left and ...

Guide to Football/Soccer data and APIs - Joe Kampschmidt's Code

The data is historical data, meaning no lives scores but the data does include the schedule, teams and players for the 2014 World Cup along with global league data. This is a very promising project and has the potential to be the definitive source for historical data for the public. See the opensport Google Group for discussion and questions ...