No-Vig Calculator
A no-vig calculator removes the bookmaker's margin so the outcome probabilities add up to 100%. Fair probability = (1/oddsᵢ) ÷ Σ(1/odds). Example: 2.10 / 3.40 / 3.60 add up to 104.8%; fair odds are 2.20 / 3.56 / 3.77.
Implied probability: 47.62%
Implied probability: 29.41%
Implied probability: 27.78%
| Outcome | Your Odds | Implied Prob | No-Vig Prob | Fair Odds |
|---|---|---|---|---|
| Home | 2.10 | 47.62% | 45.43% | 2.20 |
| Draw | 3.40 | 29.41% | 28.06% | 3.56 |
| Away | 3.60 | 27.78% | 26.50% | 3.77 |
| Total / Vig | — | 104.81% | 100.00% | +4.81% vig |
The bookmaker is charging a 4.81% margin (overround). The no-vig odds in the right column reflect a zero-margin market.
Let Lytic compare the fair odds for you
Lytic checks 40+ bookmakers and posts bets priced above the fair odds before kickoff. Every pick is graded against the closing price in public.
How it works
What is no-vig?
Bookmakers price every market so the implied probabilities across all outcomes sum to more than 100%. The excess — called the overround, margin, or vig — is the bookmaker's built-in profit. For example, a typical football match might show implied probabilities that sum to 104–108%: an overround of 4–8%, which means the bookmaker keeps about 4–7% of the money staked if bets are spread in proportion.
No-vig odds (also called fair odds or devigged odds) remove this margin and express what the odds would be in a zero-margin market. They are your best estimate of the market's true probability for each outcome.
This matters because the odds you bet at must be compared against the true probability — not the distorted implied probability. If you evaluate your bets against vigged odds, you systematically underestimate the required edge, making poor bets look acceptable.
Proportional vs Shin devigging
There are two common methods to remove the vig:
Proportional method (used here)
Each implied probability is divided by the total implied probability. Simple, transparent, and easy to reproduce: the margin is removed in proportion to each outcome's weight.
Shin method
The Shin model (Shin, 1993) assumes part of the margin protects the bookmaker against better-informed bettors. It removes more margin from longshots than from favourites, so underdogs get a slightly lower fair probability than with the proportional method. Many analysts find it fits 1X2 markets better.
Lytic uses Shin devigging internally as Lytic's estimate for 1X2 markets. The proportional method used in this calculator is a solid approximation that is sufficient for most analytical purposes.
The math
Implied probability = 1 / decimal_odds × 100
Total implied = Σ (1 / oddsᵢ) × 100
Overround (vig) = total_implied − 100
No-vig probability = (implied_probᵢ / total_implied) × 100
No-vig (fair) odds = 100 / no_vig_probability
Example — odds 2.10 / 3.40 / 3.60: implied probs are 47.6% + 29.4% + 27.8% = 104.8%. Overround = 4.8%. No-vig probs: 47.6/104.8 = 45.4%, 29.4/104.8 = 28.1%, 27.8/104.8 = 26.5%. Fair odds: 2.20 / 3.56 / 3.77.
Why this matters for value betting
To calculate the expected value (EV) of a bet, you need an estimate of the true probability. The most reliable market-derived estimate is the no-vig probability from a sharp bookmaker like Pinnacle — the principle behind value betting.
If you use the raw implied probability (with vig), your EV estimate will be too low. You will understate the edge on bets that are positive EV, and you risk filtering them out.
The no-vig probability is also the input Lytic uses when scanning for edges in real time — stripping the margin from Pinnacle's odds and comparing the result to prices at soft bookmakers. If you want to understand more about how odds are structured, read our guide to betting odds.
Analytical tool only. No winnings guaranteed. Bet responsibly. 18+. BeGambleAware.org