open-data VS geometry-api-java

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.

I tried visualising Enzo's progressive passes in each of his world cup matches. I used the data available on StatsBomb for this.

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

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

The data source providing all the passes is from StatBomb

If you're familiar with GitHub and JSON then https://github.com/statsbomb/open-data looks decent.

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.

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.

I think Statsbomb has a free API you can use on Github if you request access. https://github.com/statsbomb/open-data

I programmed with graphical interface in the past in Java, too, which is definitely one of the top choices for me cause it gives the code a lot of structure and makes it easier to maintain and on top of that there exists a lot of community run libraries that might serve my purpose, like this one. I mostly have experience in designing games (SuperMario, Space Invaders and similar) with Java.

It's good software (I've used it more than a decade), however I found GEOS to be a sticking point. When using it on very large polygons, e.g. 10k to 1 million vertices, memory leaks are not uncommon and performance drops off considerably. Debugging SQL -> C -> C++ is not fun and hacking C++ geometry code when it's not part of your normal work is nigh on impossible. I've found the ESRI geometry API for Java to be by far the best geometry API out there. Harder to use initially and obviously JVM specific but faster and more reliable. It's a very good fit for Hadoop / Spark or other JVM applications. Ignore the brand name, I'm not affiliated and it's FOSS with an Apache license.

https://github.com/Esri/geometry-api-java