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https://github.com/FCrSTATS/StatsBomb_WomensData
Utilising the free women's football data supplied by Statsbomb to help explore and teach football analytics
https://github.com/FCrSTATS/StatsBomb_WomensData
Last synced: about 2 months ago
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Utilising the free women's football data supplied by Statsbomb to help explore and teach football analytics
- Host: GitHub
- URL: https://github.com/FCrSTATS/StatsBomb_WomensData
- Owner: FCrSTATS
- Created: 2018-06-08T23:31:05.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2018-09-02T18:07:50.000Z (almost 6 years ago)
- Last Synced: 2024-02-04T11:12:40.221Z (5 months ago)
- Size: 20.7 MB
- Stars: 40
- Watchers: 7
- Forks: 10
- Open Issues: 2
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Metadata Files:
- Readme: README.md
Lists
- awesome-soccer-analytics - StatsBomb\_WomensData - (R) Utilising the free women's football data supplied by Statsbomb to help explore and teach football analytics. (Open Source Libraries / Others)
README
# StatsBomb Women's Data
Statsbomb have recently launched itself as a data provider of event data, it's an exciting release and certainly enters the market from the off as highly competitive to Opta and others. All of the Statsbomb staff seemed to have started their careers in football analytics as a hobby via personal blogs and the Statsbomb blog itself. They know too well that access to data is one of the biggest barriers to getting involved in this fast-growing hobby and profession. So it's great to see Ted, Thom and others opening the castle gates to others instead of gleefully teasing from the turrets as they announce free data!
Statsbomb have made an initial release of 9 matches of their data, what makes it better is that the data is from women's football. Making it a double good deed, free data and encouraging the development and exposure of the women's game.
This git repo will explore this free data source as we attempt to help others learn data science and football analytics.
### A: Getting Started
A1. [Getting Started With StatsBomb Data](https://github.com/FCrSTATS/StatsBomb_WomensData/blob/master/1.GettingStartedWithStatsBombData.md)
### B: The Basics
B1. [xG Tables and dplyr Package](https://github.com/FCrSTATS/StatsBomb_WomensData/blob/master/2.xG&dplyr.md)
B2. [Creating a Statsbomb Ready Pitch with ggplot2](https://github.com/FCrSTATS/StatsBomb_WomensData/blob/master/2.CreateAPitchForStatsBomb.md)
B3. [Creating a Statsbomb Ready Shot Map with ggplot2](https://github.com/FCrSTATS/StatsBomb_WomensData/blob/master/3.CreateShotMaps.md)
B4. [Plotting Shots with ggplot2](https://github.com/FCrSTATS/StatsBomb_WomensData/blob/master/4.PlotingShots.md)
B5. [Plotting Accumulative xG witgh ggplot2](https://github.com/FCrSTATS/StatsBomb_WomensData/blob/master/B5.SingleGamexG.md)
### C: Analysis
C1. [Building a 'Unique' Passing Model - Part 1 - Create the Underlying Mechanics](https://github.com/FCrSTATS/StatsBomb_WomensData/blob/master/C1_UnderlyingMechanics.md)
