All Projects → schochastics → Football Data

schochastics / Football Data

football (soccer) datasets

Programming Languages

r
7636 projects

Projects that are alternatives of or similar to Football Data

Data Science Resources
👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Stars: ✭ 171 (+850%)
Mutual labels:  data-science, dataset, data-analysis, data-visualization
Data Science Hacks
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Stars: ✭ 273 (+1416.67%)
Mutual labels:  data-science, dataset, data-analysis, data-visualization
Datascience course
Curso de Data Science em Português
Stars: ✭ 294 (+1533.33%)
Mutual labels:  data-science, dataset, data-analysis
Pydataroad
open source for wechat-official-account (ID: PyDataLab)
Stars: ✭ 302 (+1577.78%)
Mutual labels:  data-science, data-analysis, data-visualization
Data Science
Collection of useful data science topics along with code and articles
Stars: ✭ 315 (+1650%)
Mutual labels:  data-science, data-analysis, data-visualization
Engsoccerdata
English and European soccer results 1871-2020
Stars: ✭ 615 (+3316.67%)
Mutual labels:  data-science, rstats, data-visualization
Knowage Server
Knowage is the professional open source suite for modern business analytics over traditional sources and big data systems.
Stars: ✭ 276 (+1433.33%)
Mutual labels:  dataset, data-analysis, data-visualization
Dataexplorer
Automate Data Exploration and Treatment
Stars: ✭ 362 (+1911.11%)
Mutual labels:  data-science, data-analysis, rstats
Cjworkbench
The data journalism platform with built in training
Stars: ✭ 244 (+1255.56%)
Mutual labels:  data-science, data-analysis, data-visualization
Moderndive book
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Stars: ✭ 527 (+2827.78%)
Mutual labels:  data-science, rstats, data-visualization
Awesome R
A curated list of awesome R packages, frameworks and software.
Stars: ✭ 4,858 (+26888.89%)
Mutual labels:  data-science, data-analysis, rstats
Cookbook 2nd
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (+3811.11%)
Mutual labels:  data-science, data-analysis, data-visualization
Datagear
数据可视化分析平台,使用Java语言开发,采用浏览器/服务器架构,支持SQL、CSV、Excel、HTTP接口、JSON等多种数据源
Stars: ✭ 266 (+1377.78%)
Mutual labels:  dataset, data-analysis, data-visualization
Cryptocurrency Analysis Python
Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data
Stars: ✭ 278 (+1444.44%)
Mutual labels:  data-science, data-analysis, data-visualization
Deep Learning Machine Learning Stock
Stock for Deep Learning and Machine Learning
Stars: ✭ 240 (+1233.33%)
Mutual labels:  data-science, data-analysis, data-visualization
Articles
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Stars: ✭ 350 (+1844.44%)
Mutual labels:  data-science, data-analysis, data-visualization
Awesome Python Data Science
Probably the best curated list of data science software in Python.
Stars: ✭ 812 (+4411.11%)
Mutual labels:  data-science, data-analysis, data-visualization
Deepgraph
Analyze Data with Pandas-based Networks. Documentation:
Stars: ✭ 232 (+1188.89%)
Mutual labels:  data-science, data-analysis, data-visualization
Datascience
Curated list of Python resources for data science.
Stars: ✭ 3,051 (+16850%)
Mutual labels:  data-science, data-analysis, data-visualization
Courses
Quiz & Assignment of Coursera
Stars: ✭ 454 (+2422.22%)
Mutual labels:  data-science, data-analysis, data-visualization

This repository is made available under the Open Data Commons Attribution License

football-data

This repository contains some datasets around football (soccer). The main dataset contains results from ~1 million top-tier games.

Football Results Dataset

data/results contains results of 1,078,214 football games in 207 top-tier domestic leagues and 20 international tournaments (UEFA EuroLeague/ChampionsLeague,etc.) from 1888-2019. The files are split up by competition but all follow the same scheme.

Codebook

variable description
home home team name (not necessarily unique)
away away team name (not necessarily unique)
date date of match
gh goals for home team (including extra time and penalties)
ga goals for away team (including extra time and penalties)
full_time "F"=game ended in 90', "E"=extra time, "P"=penalty shoot-out
competition country name of league or name of international competition
home_ident unique identifier of home team
away_ident unique identifier of away team
home_country country of home team
away_country country of away team
home_code country code of home team
away_code country code of away team
home_continent continent of home team
away_continent continent of away team
continent continent of competition
level "national"= domestic league, "international"= international cup

Rscipts

The folder Rscripts contains some R code with basic analyses which could get you going:

  • 01_basic_stats.R: very simple stats (number of games, goals, etc)
  • 02_soccerverse.R: some code for figures on soccerverse.com

Disclaimer

This dataset definitely contains errors, especially for older games, where sources are not as reliable. A big issue are teams that merge/split/dissolve over time, which (I think) I did not resolve consistently over time.

I have gathered this dataset over the course of 8 years and put a lot of effort in it (see soccerverse.com). If you use the data for any kind of project, please drop me a line or ping me on twitter. I hapilly include your results on soccerverse.com too.

formations and lineups

The folder data/formations contains lineups and formations datasets

Links

soccerverse.com

Similar datasets:

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].