sanjitva / Predicting-Football-Player-Transfer-ValuesLinks
Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.
☆36Updated 3 years ago
Alternatives and similar repositories for Predicting-Football-Player-Transfer-Values
Users that are interested in Predicting-Football-Player-Transfer-Values are comparing it to the libraries listed below
Sorting:
- Repository for program files used to produced football analysis visualisations. This is mostly me trying to replicate visualisations that…☆14Updated 2 years ago
- The code here is pretty much everything I use to create my visuals. Currently only including code used to create my tables using data fro…☆14Updated 2 years ago
- This project aims to rate football players using data and statistics recorded from the last match they participated in. Much of the code …☆12Updated 3 years ago
- A repository with scraping code and soccer dataset from understat.com.☆70Updated 3 years ago
- An extendable Statsbomb API wrapper for data-pipelines☆52Updated 3 years ago
- Fbref is a popular football stats/metrics site which collections information from Ted Knutson's StatsBomb. You can save this data in a cs…☆11Updated 4 years ago
- Get match event data from whoscored.com☆41Updated 8 months ago
- Repository for the 'Player Chemistry: Striving for a Perfectly Balanced Soccer Team' paper.☆33Updated 2 years ago
- A repository for analysis on Expected Goals using StatsBomb and Wyscout data☆56Updated 3 years ago
- A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport☆50Updated 4 years ago
- Python package that wraps the ASA API☆52Updated last week
- ☆98Updated 2 years ago
- Project holding various data for the worldfootballR R package☆76Updated 3 weeks ago
- Using packages to create shot charts generated in R Studio.☆42Updated 2 years ago
- Implementing ASA's Win Probability Model☆18Updated 3 years ago
- A tutorial on using cross validation and calibrating predictions for expected goals models in soccer☆35Updated 5 years ago
- Identify young outliers in football.☆26Updated last year
- Synchronize soccer event and tracking data☆39Updated last year
- Convert StatsBomb's JSON data into easy-to-use CSV format.☆56Updated last year
- Soccer Plotting Library☆32Updated 4 years ago
- code and plots for viz I put on social media☆53Updated last month
- The code here is pretty much everything I use to create my datasets (from FBRef) or visuals. Most my scatter plots are made in Tableau, t…☆147Updated last year
- optasoccer is a Python library for reading opta soccer data☆11Updated last year
- ☆105Updated 2 years ago
- Gallery for typical football plots created using matplotlib☆18Updated 3 years ago
- An example of how to create a xG model using R and Wyscout event data☆77Updated 2 years ago
- repo to hold pdfs, notebooks, and data for FOT lectures☆47Updated 5 years ago
- ⚽ High-performance football analytics toolkit: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by…☆110Updated 2 weeks ago
- Tutorials for some common NBA stats questions in both python and R☆98Updated 3 years ago
- ☆27Updated 3 weeks ago