poisson-odds 0.1.3

A Python library designed for developers and analysts to calculate betting odds with ease using the power of Poisson distribution based on team qualities.

Odds by Poisson Distribution

This library enables the calculation of betting odds (moneyline, handicaps, totals) based on team qualities using the Poisson distribution.

It provides a simple interface for initializing calculations, requiring only the qualities of both teams. These qualities can be obtained using metrics such as expected goals (xG) or average number of goals.

Installation

pip install poisson-odds

Usage Example

from poisson_odds import *

test = Poisson(1.1, 2.1)

test.print_probability_table_goal_draws()
### Output:

print(test.moneyline)

### Output:

1-X-2: 5.291-4.878-1.669

handicaps = test.calculate_handicap_odds_by_Poisson()
print('\n'.join([str(items) for key, items in handicaps.items()]))
### Output:

...
0.75: 2.206 / 1.879
1.0: 1.918 / 2.089
1.25: 1.75 / 2.403
1.5: 1.582 / 2.717
...

totals = test.calculate_total_odds_by_Poisson()
print('\n'.join([str(items) for key, items in totals.items()]))
### Output:

...
Over/Under 2.75: 1.788 / 2.333
Over/Under 3: 1.961 / 2.04
Over/Under 3.25: 2.243 / 1.848
Over/Under 3.5: 2.525 / 1.656
...

Demonstrating

A real-world example of using the 'poisson_odds' library to analyze actual NHL odds by comparing them to probabilities based on expected goals (xG).