The Probability Toolkit

Risk of Ruin: How Likely Is a Bankroll to Run Out

Understand risk of ruin, the chance a bankroll is fully depleted, and why it is higher than intuition suggests when the edge is against the player.

On this page
  1. What risk of ruin means
  2. Even a fair game can empty a bankroll
  3. A negative edge makes it worse
  4. Why intuition underestimates it
  5. Bet size and bankroll
  6. Progressions do not escape it
  7. What risk of ruin does not say
  8. A practical reading

Casino games are games of chance with a built-in house edge. No strategy, system or timing changes the odds in the player’s favor over time, and most players lose money over time. Nobody should gamble money they cannot afford to lose. This article explains a risk concept; it is not a way to protect a bankroll into profit, and there is no safe amount to stake.

What risk of ruin means

Risk of ruin is the probability of losing an entire bankroll (or reaching some set loss limit) before reaching a stated goal or stopping point. It depends on three things:

  1. The size of the bankroll relative to the size of each bet.
  2. The player’s edge, which in casino games is negative.
  3. How long play continues, or what target ends it.

In older literature the underlying problem is called the gambler’s ruin, a classic puzzle studied by early probability pioneers.

Even a fair game can empty a bankroll

Start with a hypothetical fair game: a coin flip, +$1 on heads and −$1 on tails, no house edge. A player has $10 and says they will stop on reaching $20 or when broke.

For a fair game, the probability of reaching the goal before going broke equals the starting amount divided by the goal: 10 ÷ 20 = 50%. So the risk of ruin is 50%.

Now widen the goal. Starting with $10 and aiming for $100 gives a success chance of 10 ÷ 100 = 10%, so ruin has a 90% chance. The larger the target relative to the bankroll, the more likely the bankroll is depleted first. In a fair game with no stopping target at all, continued play eventually ends in ruin for a finite bankroll.

A negative edge makes it worse

Casino bets are not fair. Consider a hypothetical player who bets $1 each time on red on a single-zero roulette wheel. The probability of winning each bet is 18/37, and of losing it is 19/37. The player begins with $10 and stops at $20 or at zero.

A standard formula for this setup gives the probability of reaching the goal as (1 − r^10) ÷ (1 − r^20) with r = (19/37) ÷ (18/37) = 19/18, about 1.0556. That works out to about 0.368, so the chance of reaching $20 is roughly 37%, and the risk of ruin is roughly 63%.

Compare:

Game Chance of reaching $20 from $10 Chance of ruin
Fair coin 50% 50%
Red on single-zero roulette about 36.8% about 63.2%

The extra pocket moved the ruin chance from 50% to about 63%. That is a large change from a seemingly small edge, because ruin is a cumulative event, a long chain of small disadvantages.

If there is no goal and the player continues indefinitely, the ruin probability under a negative edge approaches 100%. This is the technical backbone of the statement that the house wins in the long run. It is related to the law of large numbers, but ruin is a different kind of statement: it is about a path hitting zero, not about an average.

Why intuition underestimates it

  • Small edges feel harmless. A 2.7% edge sounds tiny. But across many bets it accumulates, and the spread of short-term results can be large compared with it.
  • Winning streaks are memorable. Because early wins cushion the bankroll, players overestimate how long they can last.
  • The cushion shrinks. As the balance falls, each bet is a bigger share of what is left, so the same bet size raises the chance of ruin.
  • Fair-game thinking leaks in. People often reason as if the game were fair, which understates ruin, as the table above shows.

Bet size and bankroll

Ruin risk rises when the bet is large relative to the bankroll. A $10 bankroll with $1 bets lasts at least 10 losing rounds. The same bankroll with $5 bets is gone after two straight losses. Discussions of bankroll sizing often use risk of ruin for this reason. But the concept explains risk, it does not remove it. Smaller bets lengthen play and also increase the total amount wagered, so the total expected loss, which is bets times edge, can actually grow.

Progressions do not escape it

Systems that increase bets after losses, such as the martingale system, are sometimes presented as ways to avoid ruin. They do the opposite of reducing it. They produce many small wins and rare, very large losses, and table limits and finite bankrolls cap how far the doubling can go. Their long-run expected result is still negative, as covered in the article on bet progressions.

What risk of ruin does not say

  • It does not say you will definitely lose a particular amount in a session. Many sessions end ahead for a while, and some players do come out ahead on a given day.
  • It does not tell you a safe amount to stake. No amount is safe, and the only protection is not to wager money you need.
  • It is not a prediction for an individual, only a probability under assumptions. Real games have different edges, bet types and variance, and those change the numbers.

A practical reading

Treat the risk of ruin as a reason to understand why limits exist, rather than a number to optimize. Decide in advance on an amount of truly spare money, accept that it may all be gone, and stop if it is. If you notice yourself chasing losses, borrowing to play or hiding losses, that is a signal to step back and contact a local support service.

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