How to use this betting tool
- Enter a constant win probability.
- Choose the number of consecutive wins in the target streak.
- Enter the total number of independent bets observed.
- Calculate the exact finite-sample run probability.
Measure how uncommon a run of consecutive wins is under a fixed independent win rate. The tool calculates both one specified run and at least one such run within a sample.
A dynamic program tracks the chance of having no target run while ending with zero through k−1 consecutive wins.
The model assumes independent bets with the same win probability. Correlated selections or changing edges can materially alter the result.
With a 50% win rate, one specified five-win sequence has probability 3.125%. Across 30 independent bets, overlapping opportunities make at least one run more likely.
| Per-bet win rate | 50% |
|---|---|
| Target | 5 consecutive wins |
| Sample | 30 independent bets |
For one specified block, raise the per-bet win probability to the fifth power.
The 26 possible windows overlap, so their probabilities are not independent.
Not under this independent fixed-probability model.
Yes; the probability of finding it is zero when target length exceeds the number of bets.
Only if each observation can reasonably be modeled as an independent trial with the same win probability.
| Trials | Independent |
|---|---|
| Win rate | Constant |
| Streak windows | Overlapping, calculated exactly |