Charts turn Duels Won into an easy story. Start with a pizza chart for a broad scan, then isolate the metric in a bar chart.
When you share Duels Won, include the definition so non-technical audiences understand the impact.
Distribution snapshot
See how Duels Won is spread across players from the last 365 days of data.
Top performers (last 365 days)
How to interpret Duels Won
Use Duels Won alongside related metrics in the duels 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 Duels Won
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 Duels Won into shareable charts for reports and scouting decks.
Related metrics
Aerial Duels Won
The Aerial Duels Won metric is used to describe duel and contest output in player analysis.
Aerial Duels Lost
The Aerial Duels Lost metric is used to describe duel and contest output in player analysis.
Aerial Duel Win %
The Aerial Duel Win % metric is used to describe duel and contest output in player analysis.
Duels Lost
The Duels Lost metric is used to describe duel and contest output in player analysis.
Duel Win %
The Duel Win % metric is used to describe duel and contest output in player analysis.
Contests
The Contests metric is used to describe duel and contest output in player analysis.
Frequently asked questions
What does Duels Won measure?
The Duels Won metric is used to describe duel and contest output in player analysis.
When should I use Duels Won?
Use Duels Won when you need to evaluate duels contributions and compare players in similar roles.
Which charts highlight Duels Won?
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.