book-vig-overround draft

What sportsbook vig is, how to compute market overround, and what the magnitudes mean

Tags
odds vig overround probability market-structure
Vocabulary
vig
The bookmaker's built-in margin — what they take per dollar of risk. Also called juice, the take, the cut, or hold. Compensation for warehousing risk on both sides of an event.
juice
Same as vig — the bookmaker's margin built into the prices.
hold
Same as vig from the book's perspective — the share of money wagered that the book expects to keep over time.
overround
Sum of implied probabilities across all sides of a market, minus 1. A measure of how much vig is built into the market.
implied_probability
The probability a posted price implies if you treat it as fair (no vig). See american-implied-probability.
fair_probability
The book's underlying belief about an outcome, with the vig stripped out. See devigging.

Sportsbooks make money by quoting prices that, taken together, sum to more than 100% in implied-probability space. That extra slice is the vig — also called juice, the cut, or the take — and it's the book's compensation for warehousing risk on both sides of an event. A "true" market would have implied probabilities that sum to exactly 1.0; a real market sums to something a bit higher, and the difference is overround.

You compute it by converting each side's posted odds to implied probability and summing. For a binary (two-sided) market: overround = qA + qB − 1, where qA = 1 / decimal_odds_A and likewise for B. Kairos exposes both the absolute overround (s − 1) and a "vig percent" defined as overround / s × 100 — the share of the market's implied-probability mass that's vig rather than belief. The two are close at low vig but not identical; pick a convention and stick with it.

The vig matters because it sets a floor on edge: any bet you place against a book with vig V needs your true win rate to exceed the no-vig fair rate by enough to clear V before you start making money. A bet at no edge in a 5% vig market loses 5% of stake on average over a long run.

Worked example

Take a sportsbook moneyline: Side A at +150, Side B at −180.

So the book has built ~4% of margin into this market. Devigging (see devigging) backs out their actual fair belief.

Typical magnitudes

Gotchas

Open questions

Cross-references