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Metrics glossary

What is Progressive Passes?

Learn what Progressive Passes means, how it is calculated, and when to use it in player evaluation. Explore charts, comparisons, and scouting insights with FBPlot.

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

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

Charts turn Progressive Passes into an easy story. Start with a radar chart for a broad scan, then isolate the metric in a bar chart.

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

Distribution snapshot

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

Progressive Passes distribution
Avg 36.8
Min 1
Max 457
1457

Top performers (last 365 days)

How to interpret Progressive Passes

Use Progressive 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 Progressive 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 Progressive Passes measure?

Completed passes that move the ball significantly closer to the opponent's goal (at least 10 yards closer or into the penalty area). These are the passes that break lines and create attacking momentum.

When should I use Progressive Passes?

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

Which charts highlight Progressive 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.