How to use this betting tool
- Enter the projected mean for the pitcher statistic.
- Enter an integer or half-point prop line.
- Select over or under and add offered decimal odds.
- Calculate Poisson win, push and loss probabilities.
Model a pitcher count prop such as strikeouts from an entered mean. The Poisson assumption is transparent and convenient, but real performance can be more or less variable than this model.
The Poisson distribution assigns probabilities to non-negative integer counts. For whole lines, an exact tie is a push; half lines have no push.
The model assumes variance equals the mean and does not account for pitch count, opponent, park, weather, injuries or lineup changes.
With a mean of 6.2 strikeouts and a 5.5 line, over wins at 6 or more. The calculator sums the Poisson probabilities for all counts in that region.
| Mean λ | 6.2 |
|---|---|
| Line | 5.5 |
| Over wins | 6 or more |
| Push | Impossible on half line |
The calculator sums Poisson probabilities for every integer count above the entered line.
An exact count equal to the line is a push and is removed when calculating conditional fair odds.
Yes, as a simplified count model, provided you accept the Poisson assumptions.
Actual pitcher outcomes may have variance different from the mean and depend on playing time, opponent and game context.
Win probability is multiplied by odds minus one, loss probability loses $1, and push probability contributes zero.
| Count above line | Over win |
|---|---|
| Count below line | Under win |
| Count equal whole line | Push |