open-data VS nba-movement-data

Compare open-data vs nba-movement-data and see what are their differences.

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open-data nba-movement-data
25 3
2,213 208
0.9% -
0.0 0.0
8 days ago about 6 years ago
Python
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

open-data

Posts with mentions or reviews of open-data. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-25.
  • How to practice data analytics skills
    3 projects | news.ycombinator.com | 25 Dec 2023
  • [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.
    3 projects | /r/soccer | 18 Feb 2023
    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.
  • Enzo Fernández Progressive Passes - World Cup 2022
    1 project | /r/chelseafc | 1 Feb 2023
    I tried visualising Enzo's progressive passes in each of his world cup matches. I used the data available on StatsBomb for this.
  • Football (soccer) player statistics - looking for free databases
    1 project | /r/datasets | 21 Nov 2022
    https://www.football-data.org/coverage https://datahub.io/collections/football https://github.com/statsbomb/open-data https://www.kaggle.com/datasets/hugomathien/soccer https://www.kaggle.com/datasets/martj42/international-football-results-from-1872-to-2017 https://www.kaggle.com/datasets/secareanualin/football-events https://www.kaggle.com/datasets/adityadesai13/european-football-database-20192020 https://www.kaggle.com/datasets/vivovinco/20212022-football-player-stats https://www.kaggle.com/datasets/antoinekrajnc/soccer-players-statistics
  • Ask HN: Who is hiring? (September 2022)
    20 projects | news.ycombinator.com | 1 Sep 2022
    StatsBomb | Multiple roles | REMOTE, or Bath (UK), or Cairo (Egypt)

    StatsBomb is a sports analytics startup, covering football (both the soccer and American varieties) and soon basketball. We sell data products as well as analysis tools to sports, media and gambling organisations, with a tech pipeline that includes computer vision, machine learning, stream processing, and web-based dataviz. We count many of the biggest names in football as customers, and your work will have a direct impact on our ability to deliver insights to those customers, driving success on the field.

    We're hiring software engineers of various stripes (data pipeline roles with Python and Clojure, full-stack web dev roles with JavaScript) and more besides. We're fully remote, but have offices in Bath, UK and Cairo, Egypt for those that want them. We organise regular team days and also run our own industry-leading conference each year.

    - Apply at: https://statsbomb.com/careers

    If you'd like to find out more about football analytics:

    - Play with our open data: https://github.com/statsbomb/open-data

    - Read our articles: https://statsbomb.com/articles/

    - Browse our conference videos: https://www.youtube.com/channel/UCmZ2ArreL9muPvH49Gaw0Bw

  • [OC] Football Wind ⚽️💨 A wind map visualisation of a typical football game. Each particle is following a force field built from the aggregation of 882,536 passes from 890 matches played in various major leagues/cups.
    1 project | /r/dataisbeautiful | 24 Jun 2022
    The data source providing all the passes is from StatBomb
  • 🏆 TAA vs the u23 world: progressive passes/90 & xA/90
    1 project | /r/FantasyPL | 19 Jan 2022
    If you're familiar with GitHub and JSON then https://github.com/statsbomb/open-data looks decent.
  • Looking for football (soccer) granular datasets
    1 project | /r/datasets | 17 Jan 2022
    The company StatsBomb, which specializes in football analytics, has made a lot of their data available for public use here: https://github.com/statsbomb/open-data I’ve been playing with it recently and I’ve found it to be pretty great.
  • [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
    2 projects | /r/dataisbeautiful | 21 Dec 2021
    Messi has routinely been one of the best performers in European soccer, including his record-breaking 2011-2012 season in the Spanish league (“La Liga”) with Barcelona, where he set the record for most goals in a season. Unfortunately, success with the Argentina national team has frequently eluded him, finishing as a “runner-up” in the World Cup once and in the Copa America 3 times, before finally winning the Copa America in 2021. Critics often point to his difficulties with his national team as a fatal flaw. I was interested in how his scoring opportunities during arguably his best performance at Barcelona compared to his chances made with Argentina. The data suggests that he is regularly shooting from further away from goal when playing with Argentina when compared to his best performance with Barcelona, which could be a result of a number of factors (different team tactics, difficulty getting up the field, increasing age, less familiarity with teammates, etc.). Data: 2011/2012 La Liga season and World Cup 2018 data were collected from the very nice, public datasets provided by StatsBomb at https://github.com/statsbomb/open-data. The World Cup 2014 data was a bit more difficult to find, but was scraped from the Huffington Post . The StatsBomb data has a ton of great stats to dig into, but because the Huffington Post data had less detail, I wasn't able to go into all of it with just this plot.
  • xG stats for individual shots.
    1 project | /r/SoccerBetting | 24 Jul 2021
    I think Statsbomb has a free API you can use on Github if you request access. https://github.com/statsbomb/open-data

nba-movement-data

Posts with mentions or reviews of nba-movement-data. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-26.
  • Why is this random Raptors vs Pelicans game from 2017 still not finished?
    1 project | /r/nba | 25 Jul 2021
    Ah I see. Yeah I get that. The NBA is somewhat similar. There's a lot of cool public data so it's hard to complain but there's a bunch of even cooler data that's not public. Like the video tracking data which used to be public until the NBA switched the company they employed and now it's private. Some of the data from 2016 was saved but it would be nice if it was up to date
  • Daryl Morey On Publicly Available Advanced Defensive Metrics: “Pretty Bad, Really Bad”
    1 project | /r/nba | 19 Mar 2021
    Until like 5 yrs ago the NBA gave public access to SportsVU data that was way beyond what is now public these are some ex of what was available from 2015-16. Im sure ESPN/538 also still has access to this its just more about there's so much you can do with it. When you put it in NBA teams hands with more people and who's jobs are to look at this type of stuff they are going to come up with more ways to use it and more advanced data than just what 538/ESPN can. Ive heard the whole reason they took it down from the public realm was teams weren't happy about how they were paying decent $$ for this type of data that the public could get for free there's alot you can do with it on both ends of the court. Literally just an endless number of things you could analyze with it shot release data of players.
  • Hi, I’m Kirk Goldsberry, NBA Analyst at ESPN, and creator of the new Naismith International Park Map, follow me @kirkgoldsberry on IG and Twitter, let's talk NBA, Ask Me Anything!
    2 projects | /r/nba | 26 Jan 2021
    That data was available for a brief time in 2014 or 2015, not sure, and then it was taken down from NBA's API. Thankfully, there is one awesome dude who copied it and it is available on his github. I didn't have time to play with it, so if anyone does have, seeing anything of the stuff above would be AMAZING.

What are some alternatives?

When comparing open-data and nba-movement-data you can also consider the following projects:

opendata - SkillCorner Open Data with 9 matches of broadcast tracking data.

geometry-api-java - The Esri Geometry API for Java enables developers to write custom applications for analysis of spatial data. This API is used in the Esri GIS Tools for Hadoop and other 3rd-party data processing solutions.

sample-data - Metrica Sports sample tracking and event data

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.

geomesa - GeoMesa is a suite of tools for working with big geo-spatial data in a distributed fashion.

plpgsql_check - plpgsql_check is a linter tool (does source code static analyze) for the PostgreSQL language plpgsql (the native language for PostgreSQL store procedures).

toiletmap - API/UI server for the Great British Public Toilet Map

football-crunching - Analysis and datasets about football (soccer)

MMM-soccer - European Soccer Standings Module for MagicMirror²

flow - 🌊 Continuously synchronize the systems where your data lives, to the systems where you _want_ it to live, with Estuary Flow. 🌊

pldb - PLDB: a Programming Language Database. A computable encyclopedia about programming languages.