In this Python Tutorial I will plot event data from StatsBomb in a few different scenarios. This will include shots and passes from a single match. This data will be called using the StatsBomb python library and reformatted entirely in Python. I hope you enjoy.
Hi guys,
In this weeks tutorial, we are expanding on the shot plot we created in R by adding some extra information to easily understand the plot and some context around it.
This post is aimed at walking through one method of comparing players upon specific metrics within a league setting. For this example I will use a couple of different metrics from the free StatsBomb FA WSL dataset.
What a month of Women’s football we had, culminating in a final where the USA were made to earn their fourth World Cup title. The Netherlands however, can be proud of their achievements, making their first final in their second world cup appearance.
The Fifa Women’s World Cup is coming to a close and the race for the golden boot is tight, with the top 3 all still involved in the tournament (Table 1).
The knockout round of the Women’s World Cup has arrived. After two weeks of group phase matches, the last 16 has been decided. All of the top nations made it through which has set up a couple tough looking matches.
It’s been a few days since I last posted about the Women’s World Cup, and with the end of the second round of games I thought now would be a good time as any to put together a summary of where each group is at, looking ahead to the final round of games.