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soccer events dataset

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Soccer match event dataset - figshare

A match event contains information about its position, time, outcome, player and characteristics. This dataset has been used recently during the Soccer Data Challenge (https://sobigdata-soccerchallenge.it/) and, to the best of our knowledge, it is the largest public collectionof soccer-logs.If you use these data for your research or analyses, cite the following paper: https://www.nature.com/articles/s41597-019-0247-7

Soccer match event dataset - figshare

A match event contains information about its position, time, outcome, player and characteristics. This dataset has been used recently during the Soccer Data Challenge (https://sobigdata-soccerchallenge.it/) and, to the best of our knowledge, it is the largest public collection. of soccer-logs.

GitHub - koenvo/wyscout-soccer-match-event-dataset

Soccer match event dataset - processed. This repository contains the Wyscout data described in the 'A public data set of spatio-temporal match events in soccer competitions' paper, but processed to the regular Wyscout form. In this form it can be loaded by libraries like kloppy. The dataset contains the following competitions:

A public data set of spatio-temporal match events in soccer ...

There are on average 59 ± 29 events observed for a player in a match, one every 78.78 ± 105.64 seconds, confirming that soccer players are typically in ball possession for less than two minutes ...

Soccer Event Detection Using Deep Learning | DeepAI

In this paper, two novel datasets for soccer event detection has been presented. One is the SEV dataset including 60,000 images in 10 categories, seven of which were related to soccer events, and three to soccer scenes; these were used in training image classification networks.

Football Events | Kaggle

The dataset provides a granular view of 9,074 games, totaling 941,009 events from the biggest 5 European football (soccer) leagues: England, Spain, Germany, Italy, France from 2011/2012 season to 2016/2017 season as of 25.01.2017.

Major League Soccer Dataset | Kaggle

This dataset contains player, game, event, and table data from Major League Soccer (MLS). There is currently information on over 6000 matches and almost 420,000 events from those matches. For an introduction to the data, check out this kernel. For a quick overview of what data is available for what years, visit this spreadsheet.

SoccerNet-v2

The dataset is composed of 500 complete soccer games from six main European leagues, covering three seasons from 2014 to 2017 and a total duration of 764 hours. A total of 6,637 temporal annotations are automatically parsed from online match reports at a one minute resolution for three main classes of events (Goal, Yellow/Red Card, and Substitution).