Poisson calculator for probability of props occurring:

Inputs

One variable:

• expected average: 0 to 1
• proposition: 0 to 1

Two variables:

• expected average for event A: 0 to 1
• expected average for event B 0 to 1
• spread

Calculate the Kelly criterion and % of bankroll based on the expected value.

Support the following odds format and conversion from each format:

• US odds (-110)
• EU odds (1.90)
• HK odds (0.90)
• UK odds (10/11)

Given a combination of selections - calculate the total parlay odds

Given a free bet amount, bet odd, and hedge odd, determine the hedge amount, hedge profit and overall profit %.

Define guidelines and rules for contributing to the project.

Calculate the average hold (vig) for each outcome, given a set of odds.

Should support calculating the average hold based on all odds, for n>=2 outcomes. The total probability without hold should add up to 100%.

• add documentation in methods and classses
• generate pydocs
• add example in README.md

Given n games, find all possible combination for at most m games or exactly m games, and the maximum win for m legs.

Given two spreads (handicaps) separated by >=0.5, determine all profits/losses (including max profit/loss) for each possible outcome, as well as the optimal wager amount on each spread.

• rename fair odds to no_vig_probability
• add converter from no_vig_probability to Odds class

Calculate maximum profit from and bet for arbitrage betting.

Support 2-way and 3-way arbitrage.

Convert Spread to ML odds and vice versa.

Support odds boosts and profit boosts to parlays

Depends on:

• #7
• #8

Determine if a given odd's implied odds without the hold, determine its expected value, and whether it is positive, fair, or negative expected value.

Add codecov https://about.codecov.io/ and badge on README.md

In addition to multiplicative method to determine implied odds, support the following methods:

• additive
• power
• shin

Move models to init.py so imports are less awkward

from sportsbooklib.models import Odds

instead of

from sportsbooklib.models.odds import Odds