Avoiding the Gambler’s Fallacy in Sports Betting
Published on: January 19, 2024
Updated on: August 30, 2025
Category: Advice & Tips

The following post offers tips for avoiding the gambler’s fallacy in sports betting.
It’s easy to fall into the trap of thinking a losing team is ‘due’ for a win. This common mental shortcut, known as the gambler’s fallacy, can quietly drain your bankroll if you’re not careful.
Read: Pitfalls of Buying Sports Betting Picks
Related: Flat Betting For Wagering Success
This is a very common (and costly) cognitive bias amongst bettors. By taking time to understand the gambler’s fallacy, you’re better equipped to protect your bankroll, make more rational wagers, and avoid chasing losses.
Here’s what you need to know.
Overview
In a nutshell, the gambler’s fallacy suggests when something happens at a high rate (in a short time period), it’s less likely to happen in the future. For a full definition, here’s how Wikipedia defines the gambler’s fallacy.
The key is remembering that each outcome in sports (like a single game or bet) is independent. Past results don’t dictate future probabilities — a team on a losing streak doesn’t automatically become more likely to win the next one.
This concept has been around for centuries and is well-documented in behavioral psychology. One of the most famous examples occurred in 1913 at the Monte Carlo Casino, when a roulette wheel landed on black 26 times in a row. Gamblers kept piling money on red, convinced it was “due,” and millions were lost. That event is still studied today as the “Monte Carlo Fallacy.”
Why It Feels So Convincing
The gambler’s fallacy is powerful because our brains are wired to find patterns. In everyday life, spotting patterns helps us survive, predict outcomes, and make decisions. But in random systems like coin flips, roulette spins, or single-game outcomes in sports, past results don’t influence future probabilities.
The “due” mindset is simply our brain trying to impose order on randomness — a dangerous shortcut when money is on the line.
Example
Consider the following hypothetical example:
Imagine a three-game series between the last place Atlanta Braves and the first place Miami Marlins. Surprisingly, the Braves win the first two of a three-game series. Surely, the Marlines are due to avoid a sweep (since they’re a first place team). Right!?
Wrong! Braves sweep.
The lesson? Each game is an independent event. The outcome of one game does not influence the probabilities of the next. The Marlins’ chance of winning game three is not correlated to the previous outcomes.
Are the Marlins a better team overall? Sure. In a large sample size, they may win 70 games out of 100 vs. the Braves.
However, in a small sample size (three-game series) where events are independent, anything is possible. Don’t confuse long-term probability with short-term streaks.
