football_analytics
sports-analytics
Our great sponsors
| football_analytics | sports-analytics | |
|---|---|---|
| 5 | 1 | |
| 1,706 | 32 | |
| - | - | |
| 7.3 | 2.6 | |
| 11 days ago | almost 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
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.
football_analytics
- Football Analytics Bible: A collection of projects, data, and analysis
-
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
-
[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.
-
Pra quem gosta de análise de dados no futebol
Segue o link do repositório: https://github.com/eddwebster/football_analytics
-
Weekly Open Thread - General Discussion
I found a great collection for anyone who's interested in football analytics
sports-analytics
-
New NBA dataset on Kaggle! - Every game 60,000+ (1946-2021) w/ box scores, line scores, series info, and more - every player 4500+ w/ draft data, career stats, biometrics, and more - and every team (30 w/ franchise histories, coaches/staffing, and more). Updated daily, with plans for expansion!
The data is from stats.nba.com via the nba_api on GitHub. I compiled the data through an extraction script, and keep it updated daily via a fully automated Kaggle data pipeline. The pipeline is described here, and the project repository is here
What are some alternatives?
open-data - Free football data from StatsBomb
nba-sql - :basketball: An application to build an NBA database backed by MySQL, Postgres, or SQLite
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)
NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
understatr - fetch understat data
nba_api - An API Client package to access the APIs for NBA.com
soccerdata - ⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
football-crunching - Analysis and datasets about football (soccer)
EA-FC-24-Automated-SBC-Solving - EA FC 24 Automated SBC Solving using Integer Programming ⚽
socceraction - Convert soccer event stream data to SPADL and value player actions using VAEP or xT
opendata - SkillCorner Open Data with 9 matches of broadcast tracking data.
sofifa-web-scraper - It has over 18k detailed players info and stats from EA FC 24 scrapped from SoFIFA.com.