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Math·Intermediate·8 min

Devigging odds: removing the bookmaker margin

Four methods, when to use each, and the trap of using only one.

TL;DR

Bookmakers price markets so their implied probabilities sum to more than 100%. Devigging is the process of stripping that margin so the prices sum to exactly 100% — giving you a "fair" probability estimate. There are four common methods, each with different bias profiles.

Why we devig

Implied probability from a decimal odd is just 1 / odds. A 3-way market like 1X2 typically sums to 102–108%. The 2–8% overround is the bookmaker margin (a.k.a. vig, juice, overround).

To find +EV (see +EV guide) you need to know what the market *truly* believes — not what it advertises. Devigging gives you a fair-probability estimate.

The four methods

1. Multiplicative (proportional)

The simplest. Divide each implied probability by the sum.

imp_home   = 1 / 1.90 = 52.6%
imp_draw   = 1 / 3.60 = 27.8%
imp_away   = 1 / 4.50 = 22.2%
sum        = 102.6%

fair_home  = 52.6% / 1.026 = 51.3%
fair_draw  = 27.8% / 1.026 = 27.1%
fair_away  = 22.2% / 1.026 = 21.6%

Trade-off: assumes the margin is distributed proportionally. Reality: bookmakers systematically build *more* margin into favourites and longshots. So this method underestimates favourites and overestimates longshots. Cheap to compute, biased at the extremes.

2. Additive

Subtract the per-leg margin equally from each implied probability.

margin_per_leg = (102.6% - 100%) / 3 = 0.87%
fair_home = 52.6% - 0.87% = 51.7%
fair_draw = 27.8% - 0.87% = 26.9%
fair_away = 22.2% - 0.87% = 21.3%

Trade-off: works fine for balanced markets but breaks at extreme prices (subtracting a fixed amount from a small probability disproportionately impacts it).

3. Power

Adjust the implied probabilities by raising to a power and rescaling so they sum to 100%. The power is found by iteration.

Trade-off: Handles the favourite-longshot bias well. More compute, no clean closed form. Default choice for 2-way markets (BTTS, totals).

4. Shin

Models the share of "insider" bettors in the market. Solves a small quadratic equation to estimate the insider proportion z, then derives the fair probabilities.

Trade-off: statistically the most accurate for high-margin markets (1X2 and player props). Slight extra compute. Default choice for 1X2.

Which to use

MarketRecommended method
1X2 (3-way h2h)Shin
2-way h2h (Draw No Bet)Power
Totals (Over/Under)Power
Both Teams to ScorePower
Player propsPower or Shin depending on margin

The trap: only ever using multiplicative

Multiplicative devig systematically misprices favourites and longshots. If your +EV scanner uses only multiplicative on a market with significant favourite-longshot bias (1X2, props), you'll overestimate EV on longshots and underestimate it on favourites. Real money has been lost on this exact bias.

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