Odds.how

The theory site of The School of Odds.

Bookmaker margin microscope

A complete market converts quoted odds into implied probabilities whose sum normally exceeds 100%. Removing that excess does not recover a uniquely determined hidden truth: each de-vig method makes a different assumption about how the bookmaker distributed the margin.

The same quoted odds remain fixed while four legitimate models disagree. Every result below is an estimate under an explicit assumption. None is labeled the true probability.

Quoted complete market

Balanced-book example

Stakes are allocated across outcomes so that the bookmaker's payout is identical whichever outcome occurs.

Implied-probability total103.33%
Overround / margin3.33%
Balanced-book vigorish3.23%

How the quoted book is composed

One market, four margin-removal assumptions

proportional additive power Shin

Each line spans the smallest to largest estimate across the valid methods. The dots answer the same question under different assumptions; their separation is model uncertainty, not rounding error.

What each method assumes

Proportional

Every implied probability is divided by the same total. Margin is removed in proportion to the quotation.

Additive

The same number of percentage points is removed from every outcome. It can become invalid when a longshot's implied probability is smaller than its equal share of the margin.

Power

Every implied probability is raised to one common exponent chosen so that the estimates sum to 100%. It changes favorites and longshots by different relative amounts.

Shin

A model derived from a market containing informed and uninformed money. Its fitted parameter redistributes the margin rather than treating every outcome identically.

The balanced book

OutcomeQuoted oddAccepted stakePayout if it winsBookmaker profit

Margin and vigorish are related but not identical. Margin is the amount above 100% in the implied probabilities. Vigorish here is profit divided by the total money accepted: margin / (1 + margin).

Interpretation: de-vigging removes an internally chosen model of the margin; it does not discover the actual probability of an event. Comparing several bookmakers and evaluating independent information may improve an estimate, but agreement between de-vig methods is not proof of an edge.