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FIFA World Cups 2010, 2014 and 2018 matches' information datasets

<p>Data from FIFA World Cups 2010 (South Africa), 2014 (Brazil)&nbsp;and 2018 (Russia)&nbsp;collected from the FIFA website from the section of each match&#39;s facts. The original data were pdf files, which were cleaned and organized.</p> <p>The data was collected for the analysis of competition networks in soccer matches, where the high and low performance teams were studied.</p> <p>The zip file contains 3 folders of each world cup. Each folder contains the following files:</p> <p>- Players performance measures: input_worldcup.csv. This file contains information from &#39;fulltime statistics&#39; and &#39;teams statistics&#39; original files, complete for each match played in the world cup. &nbsp;More detailed player statistics is only complete for the teams that were champion, runner-up, and the teams that accumulated the less points and goals-against in their respective world cup.</p> <p>- The description of each column can be found in data_dictionary_worldcup.csv.</p> <p>- The list of countries that participated in the world cup with its abbreviation is found in countries_abbreviations_worldcup.csv.</p> <p>- The result of each match is found in tags_worldcup.csv</p> <p>- The players position&nbsp;information is the tactical line-up for World Cup 2010 and initial actual formation for&nbsp;World Cups 2014 and 2018. This information was manually set as a best approximation of position for the starting 11 players&nbsp;and a receiving shots nodes &#39;XS&#39; - special for the visualization developed. The x-axis is between 0.5 and 6&nbsp;and y-axis is flipped and between 0 and 6.</p> <p>- Folder of ball passing distributions for each match and team. The name of each file contains the match number and the team&#39;s ball passing distribution. The column names are the players numbers who received the ball. Rows represent &#39;from&#39; and the columns &#39;to&#39;. Each value are the number of passes between players.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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