Use Penalty Attempts to compare players within roles and remove bias from raw totals. Pair it with percentile views for quick context.
Penalty Attempts helps analysts quantify total number of penalty kicks taken by the player. compare with penalty goals to calculate conversion rate and assess penalty-taking reliability.
Distribution snapshot
See how Penalty Attempts is spread across players from the last 365 days of data.
Top performers (last 365 days)
Penalty Attempts definition
Penalty Attempts measures how many penalty kicks a player takes, regardless of outcome. Penalties are logged as a distinct shot type in most major datasets because they occur under a specific restart procedure and carry unique tactical and statistical meaning. Because teams typically designate one or two primary takers, this metric often reflects role responsibility more than general attacking involvement. Nevertheless, it is important for contextualising goal totals and for evaluating specialist skill sets.
How analysts use Penalty Attempts
In analysis, penalty attempts enable conversion-rate calculation when paired with penalty goals, and they help explain sudden changes in a player's scoring totals. For example, a striker who becomes the first-choice taker may see a large increase in total goals even if open-play output remains constant. When comparing players across teams or leagues, separating penalties from non-penalty scoring supports fairer benchmarking, especially in recruitment shortlists. If you are building projections, it is usually best to model penalties separately because their baseline probability differs significantly from other shots. From a tactical perspective, tracking penalty attempts can also reflect how often a player's dribbling and box presence leads to fouls and high-value restarts--making it useful alongside fouls drawn and carries into the penalty area.
How to interpret Penalty Attempts
Use Penalty Attempts alongside related metrics in the shooting 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 Penalty Attempts
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
Sources and definitions
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Related metrics
Goals
Total number of goals scored by the player, including penalty kicks. This is the ultimate attacking output metric, measuring a player's ability to find the back of the net.
Goals + Assists
Combined total of goals scored and assists provided. This metric gives a complete picture of a player's direct contribution to their team's goal-scoring, showing both finishing and creative output.
Non-Penalty Goals
Goals scored from open play and set pieces, excluding penalty kicks. This metric is often considered a purer measure of attacking ability since it removes the guaranteed penalty opportunities.
Penalty Goals
Goals scored specifically from penalty kicks. This shows a player's composure and accuracy from the penalty spot in high-pressure situations.
Shots
Total number of shots attempted on the opponent's goal, both on and off target. High shot volume can indicate an attacking threat, though shot quality is equally important.
Shots on Target
Shots that were directed on goal and would have gone in if not saved by the goalkeeper. This metric indicates shot accuracy and the ability to test the opposition keeper.
Frequently asked questions
What does Penalty Attempts measure?
Total number of penalty kicks taken by the player. Compare with penalty goals to calculate conversion rate and assess penalty-taking reliability.
When should I use Penalty Attempts?
Use Penalty Attempts when you need to evaluate shooting contributions and compare players in similar roles.
Which charts highlight Penalty Attempts?
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.