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Metrics glossary

What is Passes Blocked?

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

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

Passes Blocked helps analysts quantify passes that are intercepted or blocked by opponents before reaching the intended target. high numbers may indicate either ambitious passing or poor decision-making.

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

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

Distribution snapshot

See how Passes Blocked is spread across players from the last 365 days of data.

Passes Blocked distribution
Avg 9.5
Min 1
Max 92
192

Top performers (last 365 days)

How to interpret Passes Blocked

Use Passes Blocked 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 Passes Blocked

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 Passes Blocked measure?

Passes that are intercepted or blocked by opponents before reaching the intended target. High numbers may indicate either ambitious passing or poor decision-making.

When should I use Passes Blocked?

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

Which charts highlight Passes Blocked?

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.