statsbomb

There are 2 repositories under statsbomb topic.

• football_analytics

  eddwebster / 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.

  analyticsawesomeawesome-listdata-scienceexpected-goalsfbreffifafootballfootball-analyticsfootball-datafutboloptasoccersoccer-analyticssoccer-datasports-analyticssports-statsstatsbombtransfermarktxg
  Language:Jupyter Notebook 1769

• Torvaney / statsbombapi

  An extendable Statsbomb API wrapper for data-pipelines

  dataclassesfootball-datastatsbomb
  Language:Python 45

• somdeep / Statball

  Statball - Football soccer stats analyser from top 5 european leagues with data obtained by web scraping from Fbref and Statsbomb

  footballfootball-datastatsbombfbrefscrapingdotnetdotnet-coresoccersoccer-analyticsfootball-analyticsdata-scrapingscouting-datacsharptableaudata-vizvisualizationsdata-sciencesoccer-data
  Language:C# 18

• AnabeatrizMacedo241 / Euro2020_ML_Analysis

  Player and Team analysis using Machine Learning models with useful charts to help GMs and Coaches on decision-making situations ⚽️

  chartsfootballmachine-learningsoccersportssports-analyticsstatsbomb
  Language:Jupyter Notebook 7

• npranav10 / entries-into-final-third

  Code and Shiny App to Generate "Entries into Final 3rd" Soccer viz. (StatsBomb event data).

  entries-into-final-thirdsoccer-analyticsstatsbombrshinydashboardr
  Language:R 7

• arinzecode / Nunez-vs-Haaland-Radar-Plot

  The top teams in the English Premier League in the 2021-22 season, Manchester City and Liverpool FC, have gone ahead during this off season to add classic NO.9s to their already stellar attack options. Let's see how these two player stack up against each order using radar plot. Data source is FBref via Statsbomb.

  data-sciencedata-visualizationmatplotlibmplsoccernumppandasfbreffootball-analyticsfootball-datajupyter-notebookspythonradar-chartsoccer-analyticssoccer-datastatsbombsoccerplots
  Language:Jupyter Notebook 5

• bakero08 / streamlit-datastrike

  A football analytics tool to analyse statsbomb data and predict xG for FA Women's Super League

  analyticspythonsports-analyticsstatsbombstreamlitvisualization
  Language:Python 2

• KOrfanakis / Deep_Completion_Charts

  A short tutorial on football analytics that demonstrates how to extract and visualise deep completions.

  footballfootball-analyticsfootball-datastatsbombstatsbomb-datadata-visualizationpythonpandasmatplotlibeuro2020
  Language:Jupyter Notebook 2

• paulmusco / messi-barcelona-analysis

  Final Ironhack project: an analysis of the Lionel Messi era at Barcelona - Analysis of Messi's season-by-season output / Using regression to predict Messi's future output / Using Machine learning to predict if a shot will result in a goal or not.

  pythontableaumachine-learningjson-filesclassificationquadratic-regressionlinear-regressionstatsbomb
  Language:Jupyter Notebook 2

• abhjtbhrli / soccerVAT

  A match analysis suite designed to automate performance analysis in soccer, using StatsBomb data.

  footballstatsbombperformance-analysis
  Language:R 1

• BenC-14 / Football-Projects

  Collection of football projects and analysis of teams and individual players utilising Python, SQL and Statsbomb publicly available data.

  pythonsqlstatsbomb
  Language:Jupyter Notebook 1

• berkanyuce / FIFA-World-Cup-2018-Visualization-and-Prediction

  2018 World Cup prediction and visualization project that uses Statsbomb data and Streamlit.

  pandasmatplotlibpythonnumpystreamlitstatsbomb
  Language:Python 1

• ilmuneraka / xg-xgot-statsbomb-worldcup2022

  Building xG and xGOT based on Statsbomb World Cup 2022 Open Data

  expected-goalsfootballfootball-analyticsstatsbombstatsbomb-dataworld-cup-2022
  Language:Jupyter Notebook 1

• wswager / womens_soccer_expected_goals_model

  Classification model for expected goals (xG) in women's club soccer, predicting the likelihood that a shot will score using data extracted from StatsBomb.

  expected-goalssoccer-analyticsdata-sciencepythonstatsbombwomens-soccer
  Language:Jupyter Notebook 1

• AugustSteff / Data-Analysis-in-football

  Data Analysis in football Projects

  analysisdata-analysisfootballpythondatadata-visualizationsoccersoccer-analyticsstatsbomb
  Language:Jupyter Notebook

• caiocarneloz / pentas

  Simple functions for plotting relevant informations.

  footballsoccersports-analyticsstatsbomb
  Language:Python