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Passes Received in football analytics

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

Category: possessionMetric ID: passes_receivedUsage: Scouting, reporting, and benchmarking

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

Passes Received helps analysts quantify number of passes successfully received from teammates. high numbers indicate good movement, positioning, and availability to receive the ball throughout the match.

Category
possession
Metric ID
passes_received
Usage
Scouting, reporting, and benchmarking

Distribution snapshot

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

Passes Received distribution
Avg 341.4
Min 1
Max 3,996
13,996

Top performers (last 365 days)

How to interpret Passes Received

Use Passes Received alongside related metrics in the possession 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 Received

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 Received measure?

Number of passes successfully received from teammates. High numbers indicate good movement, positioning, and availability to receive the ball throughout the match.

When should I use Passes Received?

Use Passes Received when you need to evaluate possession contributions and compare players in similar roles.

Which charts highlight Passes Received?

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.