Give the money another jobProbability and money behaviour
The real cost
of gambling.
The house does not win every bet. It earns its advantage across repeated turnover—while short-term wins can make a losing process feel successful.
01 Price the house edge02 Watch luck fluctuate03 Redirect the expected loss
01
Your gambling pattern
Small bets can create surprisingly large turnover.
Choose a transparent probability model, then describe how often the stake is repeated. Turnover counts every bet—including money that may have been won and bet again.
Model usedEuropean roulette · red or black
There are 18 winning numbers, 18 losing numbers and one zero. A win returns twice the stake, including the original stake.
Mathematical house edge2,7%
This is an exact single-zero European roulette model for an even-money red-or-black bet.
Your mathematical result
The house edge is small. Repetition makes it expensive.
Expected value is not a prediction of tonight’s result. It is the average outcome the same bet approaches across very large repetition.
Expected loss over 12 monthsR 5 622
Expected loss=Total amount wagered×House edgeR 208 000 × 2,7% = R 5 622
02
Short-term luck
Winning once does not change the mathematics.
Run one outcome or add the next 20 sequential outcomes. The balance path is drawn point by point while turnover grows—a sober financial animation with no sounds, flashing, celebration or autoplay.
No bet simulated yet
Run an outcome to start the balance path.
No session simulated yet
Run an outcome to start the balance path.
Each batch continues from the balance already shown. The animation reveals outcomes already generated by the probability model; it does not imitate a casino game or improve the odds. Choose “Show final result now” to skip the movement. Devices set to reduced motion receive the result immediately. The session ledger carries its balance forward and does not reset. Future independent bets retain the same probability and expected value.
03
10 000 players
Individual luck is noisy. The combined house result is not.
Every simulated player starts with the same balance and attempts the same betting pattern. Betting stops when the player cannot afford the next fixed stake.
Run the population experiment
Some players will finish ahead. The important question is what happens across all 10,000 players—and how many can no longer place the next bet.
04
Chasing losses
Changing the stake changes the danger—not the house edge.
This risk experiment increases the next stake after a loss, up to eight times the starting stake, and resets after a win. It is shown to expose the risk, not as a betting strategy.
What did not change?
Every rand wagered still carries the same 2,7% expected house edge. Larger recovery bets increase turnover, volatility and the amount exposed to that edge.
05
Optional affordability check
Is the expected loss competing with real obligations?
This is a cash-flow warning, not a diagnosis. Payroll income should be entered after tax; expenses, required debt payments and the savings target are deducted before gambling.
06
Give the money another job
The expected loss has an opportunity cost.
Redirect the expected monthly loss rather than trying to recover it. These values illustrate repeated beginning-of-month contributions under the entered assumptions.
What could your next amount do?
Prioritise the next R1 000Build a debt payoff planProject investment growthUse How To Money’s existing tools to turn the expected loss into a concrete plan.
07
What this tool can—and cannot—show
Probability is not a promise.
The exact expected value and the random path answer different questions. Both matter.
The expected loss per bet equals the stake multiplied by the house edge. Total expected loss equals total scheduled turnover multiplied by that edge.
A negative expected value does not prevent a winning bet, session or player. Monte Carlo shows the distribution of possible outcomes rather than claiming every player loses.
Population simulations stop when the remaining balance cannot fund the next stake. They do not assume new deposits, borrowing or access to household money.
The comparison is deliberately limited and educational. No staking pattern guarantees recovery, and increasing stakes can exhaust money faster.
True sports probabilities are unknown. Slot RTP does not disclose the full pay table or volatility, so slot paths use a clearly labelled illustrative payout pattern.
The 10,000-player population uses a fixed seed so input comparisons are consistent. The one-bet and one-session buttons create fresh educational random outcomes.
You do not need to solve this alone
Free and confidential help is available.
The South African Responsible Gambling Foundation provides support, assessment, counselling referrals and information about self-exclusion for people affected by problem gambling and their families.
Important: This is an educational probability and cash-flow illustration—not a gambling system, guarantee, clinical assessment or financial, medical or psychological advice. It does not model every game rule, bonus, tax, fee, payout table, behavioural response, borrowing pattern or personal circumstance. If gambling is affecting essentials, relationships, debt, work or emotional wellbeing, stop using the simulation as a planning exercise and contact the support service above. The safest expected financial outcome is not to place the bet.