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Independent research on sports-betting software · No sportsbook partnerships

Guide · How betting software works

Why do EV betting tools disagree? Devig methods compared

The same bet can look +4% on one tool and slightly negative on another. How reference prices, devig methods and timing change the number.

Reviewed by Owen DavidsUpdated Oct 30, 2026Facts checked Oct 30, 2026

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EV betting tools disagree because each one estimates the "true" probability its own way. They can use different reference sportsbooks, remove the margin with different devig methods, and capture odds at different moments. The same bet can look clearly +EV on one tool and break-even on another, with neither tool making an arithmetic mistake.

Why do EV betting tools disagree? Three choices

Every EV number is your price × an estimated fair probability − 1. The price is the same everywhere; the fair probability isn't. It depends on:

  1. The reference market. Which sportsbook or blend of sportsbooks is treated as the best estimate of the truth.
  2. The devig method. How the reference market's margin is removed (below).
  3. Timing. Odds change constantly. Two tools that read the market seconds apart can see different prices, which matters most for fast-moving markets such as live betting; see How to evaluate scanner alerts and stale odds.

Devig methods compared

Researchers have compared several ways of turning odds into probabilities. The normalization (proportional) method scales all implied probabilities by the same factor, which "does not account for favorite long-shot bias." The additive method subtracts an equal amount from each, which can produce negative probabilities. The power method raises each implied probability to a common power and allows for that bias.[1]

Here's what that means for one market. The reference sportsbook prices a favourite at 1.25 (-400) and a long shot at 4.50 (+350). Another sportsbook offers the long shot at 5.00 (+400).

MethodFair long-shot probabilityEV at 5.00EV at 4.80
Proportional (multiplicative)21.7%+8.7%+4.3%
Additive21.1%+5.6%+1.3%
Power20.8%+3.9%−0.2%

At 4.80, the same bet is +4.3% under one method and slightly negative under another. The further a price is from even money, the more the methods disagree.

Which method is right?

None is right for every market. In the comparison above, the authors found that "the power method universally outperforms the multiplicative method and outperforms or is comparable to the Shin method."[1] For two-way markets, they note that the Shin and additive methods are equivalent.[1]

The practical test is robustness: a bet that stays +EV under several methods and reference books is more trustworthy than one that only appears under the most generous assumption.

Check a number yourself

Enter the reference market's two prices in the no-vig calculator (it uses the proportional method) and compare the result with what your tool shows. If they differ a lot, the tool is probably using another method, another reference, or newer odds. For how no-vig probabilities work, see Implied probability and no-vig odds, explained.

Frequently asked questions

What is devigging?

Removing the sportsbook's margin from a market's odds to estimate fair probabilities. The simplest method divides each implied probability by their total; others shift more of the margin onto long shots.

Which devig method is most accurate?

No method is right for every market. In one published comparison, the power method outperformed simple proportional normalization and was comparable to or better than Shin's method.

Why does the same bet show a different EV on different tools?

Tools can use different reference prices, different devig methods and odds captured at different moments. Each choice moves the fair probability, and on long shots small probability changes become large EV changes.

Should I trust the highest EV number?

Treat it as one estimate. A bet that is +EV under several reasonable methods and reference books is more convincing than one that only shows up under the most generous method.

Sources

  1. 1.Adjusting Bookmaker's Odds to Allow for Overround, Clarke, Kovalchik & Ingram, American Journal of Sports Science 5(6), 2017 (abstract)Independent research · accessed Oct 30, 2026

About this page

Editorial review
Approved by Owen Davids on Oct 30, 2026
AI assistance
Drafted with AI assistance. Facts, sources and conclusions were checked by a human editor before publication.
Facts last checked
Oct 30, 2026

How we research and label evidence: our methodology.