De-vigging, defined

De-vigging removes the vig from a set of odds, so the implied probabilities sum back to exactly 100%.

, 3 min read

Reviewed by Phil McParlane, Founder, on

The simplest method — proportional normalisation — divides each outcome's implied probability by the market total. If a market implies 55% and 50% (105% together), the de-vigged fair probabilities are 55 / 105 = 52.4% and 50 / 105 = 47.6%.

De-vig check: across all 59 CS2 match markets served on 16 July 2026, the line's de-vigged implied probabilities sum to exactly 100.0000%.

What remains is the market's genuine estimate, stripped of margin, and therefore directly comparable against your own model or against another market. The gap between the raw total and 100% is the overround — the margin itself — and de-vigging is the step that removes it, so two markets priced with different margins can be read on one scale. That "sums to 100%" property is not just theory: across the 59 CS2 match markets our line served on 16 July 2026, the de-vigged implied probabilities summed to exactly 100.0000%, the margin fully removed, every time.

Proportional normalisation is the workhorse. It assumes margin falls on each outcome in line with its probability. Other methods split it another way. With a heavy favourite, they give the longshot a lower fair probability. The table below shows the gap. Some models go further. To compare ways of turning odds into forecasts, read Štrumbelj (2014).

No-vig odds, fair odds and fair value

No-vig odds and fair odds both mean de-vigged prices, with no margin on top. A price like that breaks even only if the probability behind it is right.

For example, a market at −110 on both sides implies 52.38% each (110 ÷ 210, see implied probability) and 104.76% together. De-vigged, each side is 50%, or +100.

"Fair value" has two main uses. From a market, it is those de-vigged prices, so it carries whatever the market believes. From a model, it is your own probability turned into a price: fair decimal odds = 1 ÷ your probability. So 50% is 2.00, or +100, and 25% is 4.00, or +300.

The method changes the answer

Proportional normalisation is also called the multiplicative method. Three others are additive, Shin and power. All four agree on an exactly even (50/50) market, but not when one side is a heavy favourite.

For example, −600 and +425 imply 85.71% and 19.05%, a total of 104.76%. The table shows the longshot's fair probability by method.

MethodLongshot's fair probabilityAgainst multiplicative (points)
Multiplicative18.18%0
Additive16.67%−1.52
Shin16.67%−1.52
Power15.77%−2.41

The widest gap is 2.41 percentage points. The last column uses unrounded figures. Additive and Shin match on any two-way market. See four de-vig methods compared for how each works.

What no-vig odds and fair value are not

They are not a prediction or an edge. They are one reading of the market's view with the margin taken off. Whether that view is right is a separate question. A model's fair value is only as good as the probability it came from. When it differs from the de-vigged market price, the two disagree and which one is wrong is an open question. A gap is not a recommendation.

From one market to a whole schedule

A derived market line covers many markets at once. For each one, it takes the vig out of each source, finds the median, then rescales it to 100%. We never name a source or serve a per-book price. Only the combined line is published.

Read the methodology behind the served line, or the vig explained: how de-vigging finds fair odds for the arithmetic and its limits.

To do it on your own numbers, the free no-vig calculator removes the margin by four different methods — multiplicative, additive, power and Shin — side by side.

Get your API key

Start free with a sandbox key: a fixed sample of past matches, no card.

Get a sandbox key