project
Predict how many points an European football team will end the season with, according to the characteristics of its players. Project for the Big Data Computing course at Sapienza University of Rome (2021-22) (by Big-Data-FC)
football_analytics
📊⚽ 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. (by eddwebster)
project | football_analytics | |
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2 | 5 | |
6 | 1,741 | |
- | - | |
10.0 | 7.2 | |
over 1 year ago | about 1 month ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
project
Posts with mentions or reviews of project.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-16.
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[OC] Distributions of points and player quality, across european football leagues
More on https://github.com/Big-Data-FC/project
football_analytics
Posts with mentions or reviews of football_analytics.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-18.
- Football Analytics Bible: A collection of projects, data, and analysis
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The Goalkeepers with the most Saves in the Top-5-Leagues since 1999/00
Just wondering, because I found this recently and thought about starting getting into football analytics
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[OptaJoe]2009 - Arsenal have won a Premier League game they were losing at half-time outside of London for the first time since December 2009 (2-1 at Liverpool). Temperament.
You can check statsbomb open data but you will to preprocess it from json to sql. They have great course and articles about analyzing the data. Another good reading is awasome-football . They provide list of resources to get data. But the most comprehensive and recommended resources eddwebster's guide. He worked for city football group and his repository updated frequently.
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Pra quem gosta de análise de dados no futebol
Segue o link do repositório: https://github.com/eddwebster/football_analytics
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Weekly Open Thread - General Discussion
I found a great collection for anyone who's interested in football analytics
What are some alternatives?
When comparing project and football_analytics you can also consider the following projects:
WallStreetBets_BigDataAnalysis - Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏
open-data - Free football data from StatsBomb