How to use this betting tool
- Enter equal stake and decimal odds.
- Enter the assumed win probability.
- Choose the number of independent bets.
- Compare expected profit with standard deviation and the approximate range.
Quantify the spread around an expected betting result when each wager has the same stake, odds and win probability. This is a model of independent binary bets, not a promise that returns will be normally distributed.
Each bet has two net outcomes: stake × (odds−1) on a win and −stake on a loss. Variance measures squared dispersion around the expected profit.
The 95% range uses expected profit ±1.96 standard deviations and a normal approximation. It is not a confidence guarantee.
For 100 independent $100 bets at odds 2.00 with a 52% win chance, expected profit is $400 while standard deviation is close to $999.
| Win outcome | +$100 |
|---|---|
| Loss outcome | −$100 |
| Expected wins | 52 of 100 |
| Expected profit | $400 |
It is the probability-weighted squared spread of possible profit outcomes around their expected value.
Squaring deviations prevents positive and negative differences from cancelling; standard deviation converts the result back to dollars.
No. Relative fluctuations often shrink, but the absolute standard deviation generally grows with the square root of the number of bets.
Bets are independent and share the same stake, decimal odds and win probability.
No. It is a normal approximation and can be poor for small samples or extreme probabilities.
| Expected profit | Probability-weighted average |
|---|---|
| Variance | Average squared deviation |
| Standard deviation | Square root of variance |