football-crunching
sports-analytics
Our great sponsors
football-crunching | sports-analytics | |
---|---|---|
1 | 1 | |
305 | 32 | |
- | - | |
0.0 | 2.6 | |
over 2 years ago | about 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-crunching
-
[OC] Lionel Messi's shots and goals with Barcelona during his record-breaking 2011/2012 season, compared to his attempts in the 2014 and 2018 World Cups with Argentina
I was pointed to the Huffington Post data by this great repo: https://github.com/rjtavares/football-crunching (which, coincidentally, I found because of this Reddit post: https://www.reddit.com/r/datascience/comments/rh22z9/ive_made_a_search_engine_with_5000_quality_data/ by u/khanarree
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
CSGO-Pro-Gear-Performance-and-EDA - Modeling Professional (CS:GO) Gamer's Accuracy Performance Based on Gear and Settings, and Exploratory Data Analysis.
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.
PRML - PRML algorithms implemented in Python
nba_api - An API Client package to access the APIs for NBA.com
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.
SportsLabKit - A python package for turning sports video into csv files
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained