Contests Won helps analysts quantify contests won is part of the duels dataset used for player comparison and charting.
Charts turn Contests Won into an easy story. Start with a pizza chart for a broad scan, then isolate the metric in a bar chart.
Distribution snapshot
See how Contests Won is spread across players from the last 365 days of data.
Top performers (last 365 days)
How to interpret Contests Won
Use Contests 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 Contests 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 Contests Won into shareable charts for reports and scouting decks.
Related metrics
Aerial Duels Won
Aerial Duels Won is part of the duels dataset used for player comparison and charting.
Aerial Duels Lost
Aerial Duels Lost is part of the duels dataset used for player comparison and charting.
Aerial Duel Win %
Aerial Duel Win % is part of the duels dataset used for player comparison and charting.
Duels Won
Duels Won is part of the duels dataset used for player comparison and charting.
Duels Lost
Duels Lost is part of the duels dataset used for player comparison and charting.
Duel Win %
Duel Win % is part of the duels dataset used for player comparison and charting.
Frequently asked questions
What does Contests Won measure?
Contests Won is part of the duels dataset used for player comparison and charting.
When should I use Contests Won?
Use Contests Won when you need to evaluate duels contributions and compare players in similar roles.
Which charts highlight Contests 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.