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Dead-Ball Passes in football analytics

Understand Dead-Ball Passes in football analytics, with practical context and chart ideas for analysis. Explore charts, comparisons, and scouting insights with FBPlot.

Category: passingMetric ID: dead_ball_passesUsage: Scouting, reporting, and benchmarking

Dead-Ball Passes helps analysts quantify passes delivered from set pieces including free kicks, corners, and throw-ins. players with high numbers here are often designated set-piece takers.

Use Dead-Ball Passes to compare players within roles and remove bias from raw totals. Pair it with percentile views for quick context.

Category
passing
Metric ID
dead_ball_passes
Usage
Scouting, reporting, and benchmarking

Distribution snapshot

See how Dead-Ball Passes is spread across players from the last 365 days of data.

Dead-Ball Passes distribution
Avg 44.9
Min 1
Max 546
1546

Top performers (last 365 days)

How to interpret Dead-Ball Passes

Use Dead-Ball Passes alongside related metrics in the passing 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 Dead-Ball Passes

Radar charts surface it in context, while bar charts isolate the metric for direct comparisons.

  • Radar chart for full profile context
  • Bar chart for side-by-side comparisons
  • Exported visuals for reports and social sharing

Related metrics

Frequently asked questions

What does Dead-Ball Passes measure?

Passes delivered from set pieces including free kicks, corners, and throw-ins. Players with high numbers here are often designated set-piece takers.

When should I use Dead-Ball Passes?

Use Dead-Ball Passes when you need to evaluate passing contributions and compare players in similar roles.

Which charts highlight Dead-Ball Passes?

Radar 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.