The Assists metric is used to describe attacking output in player analysis. Use it with role, minutes, and competition context when comparing players.
When you share Assists, include the definition so non-technical audiences understand the impact.
Distribution snapshot
See how Assists is spread across players from the last 365 days of data.
Top performers (last 365 days)
How to interpret Assists
Use Assists alongside related metrics in the attacking category to understand role fit and tactical impact.
- Compare within the same competition or position group
- Use percentile ranks to normalize minutes played
- Combine with at least one supporting metric
Best charts for Assists
Pizza charts surface it in context, while bar charts isolate the metric for direct comparisons.
- Pizza chart for full profile context
- Bar chart for side-by-side comparisons
- Exported visuals for reports and social sharing
Start building charts
Turn Assists into shareable charts for reports and scouting decks.
Related metrics
Goals
The Goals metric is used to describe attacking output in player analysis.
Goals + Assists
Goals + Assists combines goals and assists to summarize a player's direct scoring contribution.
Shots
The Shots metric is used to describe attacking output in player analysis.
Shots on Target
The Shots on Target metric is used to describe attacking output in player analysis.
Shots off Target
Shots off target count attempts recorded as missing the target in FBPlot's football data.
Shots on Target %
The Shots on Target % metric is used to describe attacking output in player analysis.
Frequently asked questions
What does Assists measure?
The Assists metric is used to describe attacking output in player analysis.
When should I use Assists?
Use Assists when you need to evaluate attacking contributions and compare players in similar roles.
Which charts highlight Assists?
Pizza charts give context across metrics, while bar charts isolate the metric for direct comparisons.
Where can I learn related metrics?
Use the metrics glossary to explore complementary stats in the same category.