Matchflow Examples

This section shows real-world examples of using MatchFlow to explore and analyze StatsBomb event data. Each recipe is a focused, end-to-end workflow: loading data, transforming it with Flow, and visualizing or exporting the results.

You’ll find patterns for:

• Filtering and transforming events

• Calculating per-player or per-team summaries

• Visualizing shots, passes, and duels

• Combining multiple matches

• Building datasets for machine learning or reporting

These notebooks are designed to be simple, to give you a quick feel for how MatchFlow works.

Guide Index

Section	Description
📍 Recipe: Statsbomb API Integration	Streaming data directly from the StatsBomb API
📍 Recipe: xG per Player in a Single Match	Grouping and aggregating stats
📍 Recipe: Shot Accuracy per Team	Using custom aggregation functions
📍 Recipe: Drawing a Pass Map	Accessing values in arrays
📍 Recipe: Cumulative xG by Time per Team	Calculating grouped cumulative stats
📍 Recipe: Touch Location Heatmap for a Player	Using a pipe to apply a custom function to the Flow