transfers
football_analytics
transfers | football_analytics | |
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4 | 5 | |
131 | 1,741 | |
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3.1 | 7.2 | |
about 1 year ago | about 1 month ago | |
Jupyter Notebook | Jupyter Notebook | |
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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.
transfers
- Sub feature requests/moderation feedback
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[Data Visualization and Analysis] Transfer Market 2021-22 (Liverpool vs Man City edition)
The dataset was curated by Ewenme on GitHub. Please show them some love by starring their repository.
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Premier league transfer spending adjusted for inflation and median market growth 1992-2021
Drogbas transfer is listed as 34,6m pounds in the data, as said I have not cross referenced any fees and they are straight from Transfermarkt
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Premier League transfer spending adjusted for inflation and median growth of the transfer market 1992-2021
I started by downloading all the transfer data from Transfermarkt (Someone had done the work for me in GitHub). I plotted out the data and adjusted each transfer for inflation. After that all transfers were plotted out, and a linear regression could be made to create a market growth coefficient.
football_analytics
- 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?
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)
open-data - Free football data from StatsBomb
EA-FC-24-Automated-SBC-Solving - EA FC 24 Automated SBC Solving using Integer Programming ⚽
understatr - fetch understat data
sports-analytics - Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
soccerdata - ⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
opendata - SkillCorner Open Data with 9 matches of broadcast tracking data.
socceraction - Convert soccer event stream data to SPADL and value player actions using VAEP or xT
sofifa-web-scraper - It has over 18k detailed players info and stats from EA FC 24 scrapped from SoFIFA.com.
football-crunching - Analysis and datasets about football (soccer)
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.