Gambler’s Fallacy in Football | Why “He’s Due a Goal” Is a Risky Bet

The Psychology: Events and the Gambler’s Fallacy

A common trap in betting is the gambler’s fallacy – thinking past results affect future outcomes. A coin toss is a good example: even if it lands heads five times in a row, the next flip is still 50/50.

This mistake shows up in football too. A striker who has missed several chances isn’t automatically more likely to score the next one. Each shot is mostly independent. That said, football does involve human factors – a missed penalty can affect confidence and future performance.

Football betting can seem as unpredictable as a coin toss, but there’s a difference between randomness and unpredictability. Randomness is pure chance, while unpredictability comes from the game’s complexity. Football isn’t random – it’s just hard to predict.

The Statistical Reality: xG, the Monte Carlo Effect, and Sample Sizes

Expected Goals (xG) measures the quality of scoring chances using data like shot location, angle, and type of assist. It’s a guide to how likely a player is to score over time.

When a player scores fewer goals than their xG suggests – often called “bad luck” – it doesn’t mean they’re guaranteed to score soon. Each shot is an independent event, and past misses don’t influence future ones.

Monte Carlo simulations show how randomness can create hot and cold streaks. A striker might have an xG of 2.5 across three games yet fail to score. Expecting them to “catch up” in the next match ignores how probability works.

Over a full season, goals tend to align with xG, reflecting a player’s true finishing ability. Skilled finishers may exceed their xG, while others may consistently fall short.

In short, xG is a long-term performance measure, not a short-term prediction. Betting on a player just because they seem “due” is risky and rarely offers real value.

Case Study: Volume and the Misreading of Randomness

Smart bettors focus on how many chances a player gets, not just whether they’ve missed recently. A player with a high expected goals (xG) is more likely to score next, even if they haven’t scored in a few games, than a player with low xG.

For example, a player with an xG of 3 who hasn’t scored still has a better chance of scoring than someone with an xG of 0.5. Betting should be about the quality and number of chances, not trying to “catch up” after misses.

Even top players can go through long goal droughts. In the 2024–25 EPL season, Mohamed Salah and Antoine Semenyo both missed high-quality chances despite good stats. Randomness can create streaks of poor finishing, so understanding volume over short-term misses is key to smarter betting.

How the Market Prices “Due” Players

Betting markets move quickly, and when a superstar like Haaland misses a penalty or hits the post, fans flood social media claiming he’s “due” a goal.

Bookmakers know this and often adjust the odds based on public perception – this is called public money or chalk. It pushes the price of popular players down and helps the bookmaker reduce risk.

While it might seem like a player is “due,” these shifts are driven by what bettors think, not by actual probability. In other words, the market reflects people’s beliefs, not guaranteed outcomes.