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Take-On Tackled % in football analytics

Learn what Take-On Tackled % means, how it is calculated, and when to use it in player evaluation. Explore charts, comparisons, and scouting insights with FBPlot.

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

Charts turn Take-On Tackled % into an easy story. Start with a radar chart for a broad scan, then isolate the metric in a bar chart.

Use Take-On Tackled % to compare players within roles and remove bias from raw totals. Pair it with percentile views for quick context.

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

Distribution snapshot

See how Take-On Tackled % is spread across players from the last 365 days of data.

Take-On Tackled % distribution
Avg 54
Min 7.7
Max 100
7.7100

Top performers (last 365 days)

How to interpret Take-On Tackled %

Use Take-On Tackled % 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 Take-On Tackled %

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 Take-On Tackled % measure?

Percentage of dribble attempts where the player is tackled. Lower percentages are better, indicating effective dribbling and ability to beat defenders.

When should I use Take-On Tackled %?

Use Take-On Tackled % when you need to evaluate possession contributions and compare players in similar roles.

Which charts highlight Take-On Tackled %?

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.