How Penalty Takers Affect Goalscorer Probabilities?

Penalty-taking responsibility can materially increase a player’s probability of scoring, which is why confirmed penalty takers often receive shorter Anytime Goalscorer odds than teammates with similar open-play numbers.

But the effect should not be exaggerated.

A player being his team’s penalty taker does not mean a penalty will be awarded in the next match. It only means that, if his team receives one while he is on the pitch and remains the designated taker, he has an additional high-quality scoring opportunity.

That distinction is important when comparing forwards.

Imagine two strikers with similar open-play expected goals:

• Player A takes penalties;
• Player B does not.

Player A should normally have the higher total scoring probability because his potential goals can come from both open play and penalties.

However, the size of that advantage depends on four things:

How likely is the team to receive a penalty?
Will the player still be on the pitch?
Is he definitely taking it?
How likely is he to convert it?

A useful goalscorer model therefore treats penalties as an additional scoring pathway, rather than simply adding a generic “penalty taker bonus” to every player.

Why Penalty Duties Matter for Goalscorer Predictions?

Goalscorer markets are ultimately about opportunity.

A striker can score from:

• open play;
• set pieces;
• penalties.

A player who takes penalties has access to an opportunity that most teammates do not.

Suppose two forwards each have an estimated open-play scoring probability of 28%.

If Player A also has a realistic probability of taking and converting a penalty, his total chance of scoring at least once can rise above Player B’s even when their open-play attacking profiles are almost identical.

This is one reason penalty responsibility should be checked before using NaijaScore9’s anytime goalscorer predictions.

The player with the highest shots-per-90 figure is not automatically the player with the highest scoring probability if another attacker controls penalties.

The Penalty Taker Does Not Automatically Have a Penalty Goal Probability

One of the easiest mistakes is treating a player’s penalty conversion percentage as though it applies directly to the upcoming match.

Suppose a striker converts 80% of his penalties.

That does not mean he has an 80% probability of scoring from a penalty in the next fixture.

The team must first receive a penalty.

A simplified model is:

Probability of penalty goal
= Probability team receives a penalty
× Probability player takes it
× Probability player scores it

For example:

• probability team receives a penalty: 20%;
• probability player takes it if awarded: 90%;
• conversion probability: 80%.

Then:

0.20 × 0.90 × 0.80 = 0.144

Estimated penalty-goal probability:

14.4%

That is very different from simply assigning the player an 80% penalty-scoring chance.

The 80% figure only applies after the penalty opportunity exists.

Penalties Should Be Added to Open-Play Scoring Opportunity Carefully

Suppose your model gives a player:

30% probability of scoring from open play

and:

12% probability of scoring a penalty

You should not automatically calculate:

30% + 12% = 42%

because the events can overlap. The player can potentially score from both open play and a penalty in the same match.

A cleaner simplified calculation is:

P(score at least once)
= 1 − P(no open-play goal) × P(no penalty goal)

Using the example:

1 − (0.70 × 0.88)

= 38.4%

So the combined scoring probability is approximately 38.4%, not 42%.

This remains a simplified model, but it illustrates an important point: goalscorer probabilities should combine different scoring routes without double-counting them.

A Practical Penalty-Taker Example

Consider two fictional forwards.

Player A

• open-play scoring probability: 27%;
• first-choice penalty taker;
• estimated penalty-goal probability: 11%.

Player B

• open-play scoring probability: 31%;
• does not take penalties.

Player B is the stronger open-play scorer.

But Player A’s combined scoring probability becomes:

1 − (0.73 × 0.89)

= 35.0%

Player B remains:

31%

Player A can therefore become the stronger Anytime Goalscorer candidate even though Player B has the better open-play scoring estimate.

This is exactly why penalty duties should be analysed separately rather than hidden inside a broad goals-per-90 statistic.

Penalty Takers Matter More for Anytime Goalscorer Than Some Other Markets

Penalty responsibility has a particularly direct effect on the Anytime Goalscorer market because any eligible goal is enough.

If a player converts a penalty in the 78th minute after two teammates have already scored, the Anytime Goalscorer selection can still win.

The same penalty may not help a First Goalscorer selection if another eligible player scored earlier.

This is why penalty duties usually have a more straightforward relationship with anytime goalscorer markets than with first goalscorer predictions.

For First Goalscorer, you also need to estimate:

• probability the player’s team scores first;
• probability the first team goal is a penalty;
• probability the player is on the pitch;
• probability he takes and converts it.

The timing condition makes the market more restrictive.

Expected Minutes Can Increase or Reduce the Penalty Advantage

A penalty taker’s value disappears once he leaves the pitch.

Suppose a striker is the clear first-choice penalty taker but normally gets substituted around minute 65.

Any penalty awarded after his substitution cannot help his goalscorer selection.

Now compare him with another penalty taker who regularly plays 85–90 minutes.

Even if their open-play attacking rates are similar, the second player receives a larger window in which a penalty can occur.

This is why penalty analysis should be combined with NaijaScore9’s guide on how player minutes affect goalscorer predictions.

The relevant question is not only:

“Is he the penalty taker?”

It is:

“For how much of the match is he likely to remain the penalty taker?”

Substitution Risk Can Change Who Takes the Penalty

Penalty duties are often hierarchical.

A team might have:

1. Player A – first choice;
2. Player B – second choice;
3. Player C – emergency option.

If Player A is substituted, Player B may inherit the next penalty.

That creates different scoring probabilities depending on the match minute.

For example:

Penalty in the 35th Minute

Player A is still playing and probably takes it.

Penalty in the 78th Minute

Player A has already been substituted.

Player B may now take it.

This can increase Player B’s late-game scoring probability compared with what his normal penalty statistics suggest.

NaijaScore9’s guide on how substitutions affect Anytime Goalscorer selections is therefore relevant whenever the main penalty taker has predictable substitution patterns.

Do Not Assume the Historical Penalty Taker Still Has the Role

Penalty responsibility can change.

A player may lose duties because:

• he missed recent penalties;
• a new striker joined;
• another player returned from injury;
• the manager changed the order;
• the captain is back;
• the regular taker is not starting.

A player having taken penalties last season is not enough.

For current goalscorer analysis, check the most recent evidence.

Useful clues include:

• who took the most recent penalty with both players on the pitch;
• manager comments;
• recent team selection;
• whether responsibilities changed during the season.

This is especially important after transfers or managerial changes.

Shared Penalty Duties Reduce Certainty

Some teams do not have one guaranteed penalty taker.

Two players may alternate depending on:

• who won the penalty;
• match situation;
• player confidence;
• previous misses;
• designated rotation.

Suppose Player A has taken four penalties and Player B has taken three.

Labelling Player A as the “penalty taker” can exaggerate his scoring advantage if both players frequently share the responsibility.

Instead, estimate a penalty-taking share.

For example:

• Team penalty probability: 20%;
• Player A takes 65% of awarded penalties;
• conversion rate: 80%.

Penalty-goal probability:

0.20 × 0.65 × 0.80 = 10.4%

This is more realistic than assuming he takes every penalty.

Being the Penalty Taker Matters More for Some Teams Than Others

The scoring benefit depends partly on how frequently the team generates penalty opportunities.

A penalty taker for a dominant attacking team may receive more penalty opportunities than one playing for a side that spends little time in the opponent’s box.

Relevant team factors include:

• penalty-area touches;
• dribbles inside the box;
• attacking possession;
• opponent defensive style;
• likelihood of defenders making challenges in dangerous areas.

Historical penalty frequency can provide context, but penalty awards are relatively rare events and can vary substantially over short samples.

Avoid conclusions such as:

“This team has had three penalties in five matches, so another is likely.”

A short run of penalties can easily be driven by variance.

Penalty Conversion Rate Also Needs Context

A player’s historical penalty record matters, but small samples can be misleading.

A player who has scored:

4 of 4

does not automatically have a true 100% penalty conversion probability.

Likewise, someone who recently missed two penalties may still be a competent long-term taker.

Use larger samples where possible and consider:

• career penalty record;
• recent technique;
• whether the goalkeeper quality is unusual;
• whether the taker has recently changed approach.

For most prediction models, a reasonable conversion estimate is preferable to blindly using a tiny recent sample.

Penalty Takers Can Have Lower Open-Play Numbers but Higher Total Scoring Probability

This is one of the most useful comparisons.

Suppose:

Player A

• non-penalty xG per 90: 0.35;
• first-choice penalty taker.

Player B

• non-penalty xG per 90: 0.47;
• no penalties.

If you rank the players only by non-penalty xG, Player B looks stronger.

But if Player A receives meaningful penalty exposure, the total match-specific scoring probabilities can become much closer.

This is why goalscorer models should distinguish:

non-penalty attacking production

from:

penalty opportunity

rather than mixing them into one historical goals figure.

Why Raw Goals Per 90 Can Hide the Penalty Effect?

Suppose Player A has:

0.70 goals per 90

but many of those goals came from penalties.

Player B has:

0.55 goals per 90

almost entirely from open play.

If Player A loses penalty duties before the next match, his historical 0.70 goals-per-90 rate becomes less relevant.

The player has not necessarily become worse at football.

But one important scoring route has disappeared.

A better process is to separate:

• non-penalty goals;
• non-penalty expected goals;
• penalty attempts;
• expected minutes;
• penalty-taking probability.

That produces a cleaner estimate of what is likely to happen next.

Penalty Taker vs Main Striker: Who Has the Better Goalscorer Probability?

There is no automatic answer.

Imagine:

Main Striker

• strong open-play xG;
• high shot volume;
• expected to play 85 minutes;
• does not take penalties.

Attacking Midfielder

• lower open-play xG;
• takes all penalties;
• expected to play 90 minutes.

The striker may still have the higher overall scoring probability because his open-play advantage is large enough.

Alternatively, a favourable penalty environment may push the midfielder ahead.

The correct comparison is:

Open-play scoring probability + penalty contribution + expected minutes + role

not:

Penalty taker = best goalscorer bet

Penalty Duties and First Goalscorer Probabilities

Penalty takers can also benefit in First Goalscorer markets, but the calculation is narrower.

The player needs the penalty to:

• occur before another eligible goal;
• be awarded while he is on the pitch;
• still belong to him;
• be converted.

If the first goal has already been scored, a later penalty does nothing for a First Goalscorer selection.

This is one reason First Goalscorer usually has higher odds than Anytime Goalscorer, as explained in First Goalscorer vs Anytime Goalscorer.

Penalty duties improve both markets, but they generally have more opportunity to influence the Anytime price.

How the Market Prices Penalty Takers?

Bookmakers are aware of penalty duties.

If a player becomes the confirmed penalty taker, his goalscorer price can shorten because the additional scoring route has been recognised.

This means finding out that a player takes penalties is not automatically an edge.

The important question is whether the current price adequately reflects that advantage.

Suppose:

• your estimated scoring probability: 42%;
• available Anytime Goalscorer odds: 2.20.

Raw break-even probability:

1 ÷ 2.20 = 45.45%

Under your estimate, the available price would be too short even though the player is the penalty taker.

Use the NaijaScore9 implied probability calculator when converting a goalscorer price into the probability required to break even.

Penalty Taker Status Does Not Automatically Create Value

Consider two options:

Player A

• penalty taker;
• estimated probability to score: 40%;
• odds: 2.20.

Player B

• no penalties;
• estimated probability to score: 32%;
• odds: 3.60.

Raw break-even probabilities are:

Player A: 45.45%

Player B: 27.78%

Under those estimates, Player A may be more likely to score but worse priced.

Player B may represent the more favourable probability-price relationship.

This illustrates the same principle discussed in NaijaScore9’s guide to value bets, price and probability:

A more likely scorer is not automatically a better bet if the price is too short.

Penalty Takers and Strong Favourites

Penalty duties can become especially relevant for players on dominant teams.

A strong favourite may:

• spend more time in the opposition box;
• create more attacking situations;
• win more dangerous one-on-one duels;
• produce more overall goal opportunities.

If the penalty taker also:

• starts centrally;
• plays most of the match;
• generates strong non-penalty xG;

he can have several independent routes to score.

However, strong favourites can introduce another issue: early substitution risk.

If the team leads comfortably, the main striker may leave before the final stages.

A favourable scoring environment can therefore increase his per-minute probability while reducing expected total minutes.

Both effects need to be considered.

Penalty Takers and Underdogs

Penalty responsibility can also increase the attractiveness of an underdog’s main scorer.

A weaker team may generate relatively few open-play chances, meaning one penalty opportunity represents a larger share of its total expected scoring.

For example, an underdog striker might have:

• low open-play xG;
• few shots;
• but full penalty responsibility.

His goalscorer probability can therefore be higher than his open-play statistics alone suggest.

Still, the probability of the underdog receiving a penalty must remain realistic. A penalty taker cannot benefit from an opportunity his team never generates.

What to Check Before Using Penalties in a Goalscorer Prediction?

Before increasing a player’s scoring probability because of penalty responsibility, verify:

Is He Actually the First-Choice Taker?

Use current evidence rather than reputation from previous seasons.

Is He Expected to Start?

If not, another player may take any early penalty.

How Long Is He Expected to Play?

The penalty advantage ends when he leaves the pitch.

Are Duties Shared?

Estimate the player’s penalty-taking share rather than assuming 100%.

How Often Does the Team Create Penalty Opportunities?

Use team attacking context rather than relying on a small recent penalty streak.

What Is a Realistic Conversion Probability?

Do not assume a recent 3/3 or 0/2 sample represents the player’s true ability.

Has the Price Already Adjusted?

Being the penalty taker is useful only if the odds still compensate for the estimated probability.

A Simple Goalscorer Probability Framework

A practical model can be organised like this:

Step 1: Estimate expected minutes

Determine starting probability and likely substitution time.

Step 2: Estimate non-penalty scoring probability

Use role, non-penalty xG, shots, team strength and opponent quality.

Step 3: Estimate team penalty probability

How likely is the team to receive at least one penalty while the player is on the pitch?

Step 4: Estimate penalty-taking probability

Is the player guaranteed to take it, or are duties shared?

Step 5: Estimate conversion probability

Use a realistic long-term estimate.

Step 6: Combine the scoring routes

Avoid simply adding probabilities when events can overlap.

Step 7: Compare with the odds

Convert the available price into implied probability and determine whether the difference is meaningful.

This is much more reliable than adding an arbitrary percentage because a player is listed as the penalty taker.

Common Penalty-Taker Mistakes

Automatically Backing the Penalty Taker

Penalty duties increase scoring opportunity but do not automatically create value.

Assuming a Penalty Will Be Awarded

The player first needs the opportunity.

Using the Player’s Conversion Rate as Match Probability

An 80% conversion rate does not mean an 80% chance of scoring a penalty in the match.

Ignoring Expected Minutes

A player cannot take penalties after he has been substituted.

Ignoring Shared Duties

Two players may rotate penalties.

Using Goals Per 90 Without Separating Penalties

Historical scoring rates can fall materially if the player loses penalty responsibility.

Overreacting to Recent Penalty Awards

A team receiving several recent penalties does not guarantee another in the next match.

Ignoring Price

The bookmaker may already have shortened the player’s odds significantly because of his penalty role.

Conclusion

Penalty-taking responsibility matters because it gives a player another route to goal.

That can make two otherwise similar forwards very different Anytime Goalscorer prospects. A player with moderate open-play numbers can become a stronger scoring candidate when he takes penalties, while a historically prolific player may become less attractive if he loses those duties.

But penalty status should never be treated as a shortcut.

The correct question is not simply:

“Does he take penalties?”

A better sequence is:

How likely is the team to receive a penalty?
Will the player be on the pitch?
Will he definitely take it?
How likely is he to convert it?
How much open-play scoring probability does he already have?
Has the bookmaker already priced the penalty advantage into the odds?

When these factors are combined properly, penalty-taking responsibility becomes a useful adjustment to a goalscorer probability rather than an automatic reason to select the player.

For practical player-market analysis, combine penalty duties with expected player minutes, current team roles and the available goalscorer price.