Aerial duel win percentage needs attempts, role, location, opponents and sample size before it can support a player-comparison claim.
Learn how to read aerial duels won, lost and win percentage without rewarding tiny samples or ignoring why a player contests headers in the first place.
A defender wins four of five aerial duels. Another wins 40 of 65. The first has the higher percentage. Which player is stronger in the air?
The honest answer is that the percentage alone cannot decide.
FBPlot's current metric catalog keeps Aerial Duels Won, Aerial Duels Lost and Aerial Duel Win % as separate measures. That separation matters. The percentage describes success among recorded contests; the counts describe workload; neither tells us why the duel occurred or how difficult it was.
The Small-Denominator Problem
Win percentage becomes unstable when the number of contests is small. Winning the next duel moves a five-attempt sample dramatically and barely changes a 100-attempt sample.
Do not solve this by inventing one universal minimum. A sensible threshold depends on the period, competition and role. Instead, show the number of duels or the player's minutes beside the percentage and test whether the interpretation survives a stricter eligibility rule.
This is the same discipline described in small samples in football analytics: the rate can be mathematically correct and still carry substantial uncertainty.
Frequency Is Part of the Profile
A player who contests aerial balls constantly may face a harder mix of situations than a player who contests only a few favourable ones. A low-volume centre-back in a dominant possession team and a defender protecting a deep box do not receive the same work.
Read at least two rows together:
- aerial duels attempted or the won/lost counts;
- aerial duel win percentage.
If the percentage is high and the volume is substantial, the observation is stronger. If the percentage is high and the volume is tiny, the correct response is curiosity.
Position Labels Are Not Enough
Two players listed as defenders can have different aerial jobs. One attacks long goal kicks, another covers behind an aggressive full-back, and a third defends the far post. Height may matter, but positioning, timing, starting distance and opponent quality also shape the event.
Forwards face a different problem. Many aerial duels arrive with their back to goal against a centre-back. Their win rate should not be ranked casually against defenders contesting clearances.
Use a role-coherent population where possible, then describe the remaining tactical differences instead of pretending the position filter removed them.
A Role-Specific Chart Keeps the Percentage in Its Place
The captured FBPlot defender pizza below includes aerial-duel win percentage beside contest win rate, passing and defensive events.
The surrounding metrics should not be blended into an overall score. They provide context for the football job: whether the player is also involved in distribution, clearances, interceptions and other contests.
Location and Consequence Are Missing
An aerial duel in midfield is not identical to one at the back post. The standard win percentage does not automatically encode where the event happened, whether possession was retained, or what followed.
That means a claim such as “dominant in both boxes” requires more than the rate. It needs event location or match review. The metric can identify a player worth investigating; it cannot reconstruct the entire duel.
The same applies to lost duels. A lost contest that slows the attack enough for teammates to recover may have a different consequence from a clean loss leading directly to a chance. Event counts are a map, not the territory.
Percentage Is Already Normalised
Aerial Duel Win % should not be converted to per 90. In the current FBPlot catalog it is a percentage metric and does not support per-90 or team-contribution modes.
If frequency matters, use Aerial Duels Won and Lost as counts or rates. If success share matters, use the percentage. Presenting both avoids creating a hybrid measure with no intuitive meaning.
A Four-Question Audit
Before writing the conclusion, ask:
- How many aerial duels sit behind the percentage?
- What role and position population is being used?
- Where and why is the player usually contesting them?
- Does the observation persist across a longer period or different opponent set?
If the chart cannot answer the third question, say so. That limitation points to the next piece of evidence rather than weakening the analysis.
Use the Rate as a Doorway
A good sentence stays close to the sample:
In this period and comparison group, the player won a high share of recorded aerial duels over the displayed workload. Match review is still needed to establish location, opponent and consequence.
For a wider defensive reading framework, continue with how to read centre-back statistics. Then open the FBPlot Player Pizza Chart, pair the percentage with duel volume and keep the sample visible in the exported caption.
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