Riding a Heater
Advanced Theory
intermediate10 min read

Implied Probability and No-Vig Lines: Reading the True Market

How to strip the bookmaker's margin from the odds and see what the market really thinks about an event.

What is Implied Probability?

Implied probability converts betting odds into a percentage that represents the market's estimated likelihood of an outcome. It's the bridge between odds and probability.

Converting Odds to Implied Probability

American Odds

Negative odds: IP = |Odds| / (|Odds| + 100)

  • -150: 150 / 250 = 60.0%

Positive odds: IP = 100 / (Odds + 100)

  • +150: 100 / 250 = 40.0%

Decimal Odds

IP = 1 / Decimal Odds

  • 2.50: 1 / 2.50 = 40.0%

The Overround (Vig)

When you add up the implied probabilities of all outcomes, they total more than 100%. The excess is the bookmaker's margin.

Example

  • Chiefs -150: IP = 60.0%
  • Eagles +130: IP = 43.48%
  • Total: 103.48%
  • Overround: 3.48%

Calculating No-Vig (Fair) Odds

To find the true market probability, normalize the implied probabilities:

  1. Calculate raw implied probability for each side
  2. Sum them (this will exceed 100%)
  3. Divide each by the sum

Example

  • Chiefs raw: 60.0%
  • Eagles raw: 43.48%
  • Sum: 103.48%
  • Chiefs no-vig: 60.0 / 103.48 = 57.98%
  • Eagles no-vig: 43.48 / 103.48 = 42.02%
  • Fair odds: Chiefs -138 / Eagles +138

Why This Matters

1. Finding Value

Compare your probability estimate to the no-vig line:

  • Your estimate for Chiefs: 62%
  • No-vig market: 57.98%
  • You see value on the Chiefs

2. Measuring CLV Accurately

Use no-vig closing lines for true CLV calculation, not raw closing odds.

3. Comparing Sportsbooks

The book with the lowest overround offers the best prices:

SportsbookChiefsEaglesOverround
Book A-150+1303.48%
Book B-145+1253.89%
Book C-155+1353.10%

Book C has the lowest overround — best prices overall.

Advanced Application: Power Ratings

Sharp bettors use no-vig lines to build power ratings:

  1. Collect no-vig closing lines for every game
  2. Convert to point spreads
  3. Build a model that predicts future spreads
  4. Compare your model to opening lines to find value

Powered by the MIT Triple Stack

Expected Value + Kelly Criterion + Monte Carlo — the same math from MIT and Bell Labs.