What Is The xG Of A Penalty?

Expected Goals — otherwise known as xG — is now a widely accepted part of professional football. But only a few years ago, the term enraged some of the sport's more old-school, data-skeptical pundits (for example, Craig Burley, who described xG as "nonsense" on ESPN in 2016).

To this day, there remains plenty of confusion about exactly how xG is used in football, and why it's relevant. This article will explain how it applies to penalty kicks, exploring what a typical xG rating is for a penalty kick, and offering a broader explanation about the value of xG in the modern game.

The xG of a penalty kick is typically between 0.76 and 0.79, depending on which data provider calculates it. Opta assigns every penalty a flat xG of 0.79, StatsBomb uses 0.78 (since its 2022 model update), and Wyscout uses 0.76. The figures all reflect the historical conversion rate of top-level penalties (roughly 75–79%), and the value is fixed because the standardised conditions of a penalty — 12 yards, no defenders, fixed angle — strip away the variables that normally drive Expected Goals.

What is xG and How Is It Calculated?

xG is an abbreviation that stands for Expected Goals. This is a metric used within football to measure the probability of a particular shot resulting in a goal. The idea of xG is to show how dangerous a chance is, evaluating the probability of a player scoring based on the quality of the scoring opportunity.

Different data companies calculate xG in different ways, but the broad idea remains the same across the board: thousands of real shots from the past with similar characteristics are studied in depth, in order to estimate how likely a goal is to be scored on a scale of 0 to 1.

A shot with a statistically low chance of being scored could have an xG of 0.1 (this would mean that out of 100 similar shots, 10 had been scored). Meanwhile, an effort with a high chance of being converted could have an xG of 0.8 (this would mean 80 out of 100 similar shots were converted).

The range of factors used to calculate xG include distance to goal, angle to goal, the type of assist or prior action that leads to the shot, the positioning of the goalkeeper, the body part used to shoot, and more. All these elements combine to create a mathematical value that helps us understand the quality of the chance being created.

The Benefits of xG

Basic statistics like shot total don't tell us much about how matches play out or the type of chances that each side creates. This is where xG comes in; expected goals can help inform us about the quality of the shots being taken in a game.

It provides a deeper level of analysis about both offensive and defensive actions, allowing coaches and analysts to identify particularly lethal finishers and potentially predict when results may begin to change (for example, if a team is consistently out-performing their xG). Expected Goals has become a key way of analysing forwards, and it's now integral to the way attacking players are recruited.

xG does have some limitations. It doesn't tell us the full story of a match, failing to measure the quality of the individual players involved in an action, or the various unpredictable events that can take place on a football pitch.

As it's a fairly new metric, the data available could be more extensive, and its use in football media isn't always particularly insightful, as it's often used as a descriptive metric rather than a predictive one. Still, it offers valuable insight into the game nonetheless.

What Is The xG Of A Penalty?

Just like long-distance shot xG can vary depending on factors like goalkeeper positioning and defensive closing down, penalty xG can vary too. Different data companies calculate penalty xG in different ways, although across the board the numbers they come up with are pretty similar.

Typically, the xG of a penalty kick is between 0.76 and 0.79. Wyscout's xG model fixes penalties on the lower end of the spectrum at 0.76, while Opta judges all penalties to have an xG of 0.79. Regardless, all data companies recognise that a penalty is one of the highest-xG chances that can be created.

The reason for data companies judging all penalties to have the same xG is that when a player lines up to try to convert a spot kick, a number of the variables that normally impact Expected Goals — distance to goal, angle to goal, previous action, body part — have been stripped away.

There are two hugely important factors that xG doesn't take into account in penalty scenarios: the quality of the penalty kick taker and the quality of the goalkeeper, as well as both their individual records from the spot.

Top penalty takers like Cole Palmer have a track record of massively outperforming their xG from penalties, but due to the way Expected Goals is calculated, on paper these players are as likely to score as someone who has missed a fair amount of penalties in the past. This is a quirk of the system that shows why data and statistics should be used as evidence to support what's happening on the pitch, rather than being relied on for the full picture.

Frequently Asked Questions

What is a typical xG value for a penalty?

A typical penalty has an xG of between 0.76 and 0.79, depending on which data provider is doing the calculation. Opta uses 0.79, StatsBomb uses 0.78 since its 2022 model update, and Wyscout uses 0.76. All three numbers reflect the long-run conversion rate of top-level penalty kicks, which sits at roughly 75–79%.

Why do all penalties have the same xG?

Every penalty is assigned the same flat xG value because the standardised conditions of a spot kick remove the variables that normally influence Expected Goals. Distance to goal (12 yards), angle to goal, body part, prior pass, and defender positioning are all fixed or absent, so providers fall back on the long-run historical conversion rate. The two things the model still can’t capture — the quality of the taker and the quality of the goalkeeper — explain why some specialists like Cole Palmer routinely outperform their penalty xG over a season.

Does xG include penalties in a player’s total?

Yes — most public xG dashboards include penalties in a player’s season total, which is why elite penalty takers can post inflated xG numbers. Analysts often quote a separate “non-penalty xG” (npxG) figure to strip the spot-kick contribution out and compare strikers on a like-for-like basis. When you see a player’s xG quoted in match reports, it usually does include any penalty awarded.

Which players consistently outperform their penalty xG?

Cole Palmer is the standout active penalty specialist, with 17 goals from his first 18 Premier League penalties (a 94% conversion rate) and a record 12 consecutive penalties scored before Mads Hermansen saved his 13th for Leicester. Other long-term over-performers from the spot in the top European leagues include Bruno Fernandes, James Maddison, Mohamed Salah and (historically) Cristiano Ronaldo. Players who consistently beat the 0.78–0.79 xG benchmark are doing so on placement and disguise rather than power.

For more information on this subject, check out our in-depth guide to the use of xG within professional football.