B BetsPro Sports magazine

Value Bets

15.09.2026
Back to articles

Learn what Value Bets are, how to calculate fair odds and expected value, and how to identify potentially mispriced betting odds.

Value Bets

A Value Bet is a bet where the odds offered by a bookmaker are higher than the odds you believe accurately reflect the true probability of the outcome.

The idea is not simply to predict who will win. The goal is to identify situations where the bookmaker may be offering a better price than the underlying probability justifies.

That means a Value Bet can lose and still have been a good bet mathematically. The reverse is also true: a winning bet can still have been poor value.

Value betting is built around three things: probability, odds and expected return. To identify value consistently, you need to compare your own estimate of an outcome's probability with the price offered by the bookmaker.

The key idea: the question is not simply "Who is more likely to win?" The real question is whether the odds are high enough relative to the true probability of that outcome.
Table of Contents

 

What Is a Value Bet?

 

Suppose you believe a team has a 50% chance of winning.

If the odds perfectly reflected that probability and there were no bookmaker margin, the fair price would be:

1 / 0.50 = 2.00

If the bookmaker offers exactly 2.00, there is no obvious mathematical edge based on your estimate.

Now suppose the bookmaker offers 2.20.

You still estimate the team's true chance of winning at 50%, but the bookmaker is now offering a bigger payout for the same risk.

If your 50% probability estimate is accurate, odds of 2.20 when your fair price is 2.00 represent a Value Bet.

In other words, the market is offering you a price that is better than the one implied by your own probability estimate.

 

How Value Betting Relates to Probability

 

Any set of decimal odds can be converted into an implied probability.

Implied Probability = 100 / Decimal Odds

For example:

Decimal Odds Implied Probability
1.50 66.67%
1.80 55.56%
2.00 50%
2.50 40%
3.00 33.33%
4.00 25%

We explain this calculation in more detail in "How to Convert Betting Odds into Probability".

To identify potential value, compare the bookmaker's implied probability with your own estimate of the outcome's true probability.

The bookmaker offers odds of 2.00.

The implied probability is:

100 / 2.00 = 50%

Your analysis, however, suggests the true probability is 55%.

So:

  • the bookmaker's price implies roughly 50%;
  • your estimate is 55%.
If your 55% estimate is accurate, the bet has positive expected value.

 

What Are Fair Odds?

 

Fair odds are the odds that correspond to an estimated true probability without any additional bookmaker margin.

Fair Odds = 1 / Probability

If you are using a percentage:

Fair Odds = 100 / Probability (%)

Suppose you estimate that a team has a 55% chance of winning.

100 / 55 = 1.82

Your fair price is therefore approximately 1.82.

The bookmaker offers 1.70 The price is below your fair estimate of 1.82. At a 55% true probability, this would not be a Value Bet.
The bookmaker offers 1.82 The price is roughly in line with your estimate. There is no clear edge.
The bookmaker offers 2.00 The price is higher than your fair estimate. If your 55% probability is accurate, this is where potential value appears.
Value does not exist simply because the odds look high. Value exists when the available odds are higher than the fair price implied by your probability estimate.

 

A Simple Value Bet Example

 

Suppose your model estimates a team's chance of winning at 60%.

The fair odds are:

100 / 60 = 1.67

Now compare that with several possible bookmaker prices:

Bookmaker Odds Assessment
1.50 Too short
1.60 Below your fair price
1.67 Approximately fair
1.75 Potential Value
1.90 Even stronger potential Value

There is one crucial condition, however.

All of this math is only as good as your probability estimate. If you estimate the outcome at 60% but the true probability is closer to 50%, odds of 1.90 are no longer attractive.

 

How to Calculate Value

 

A simple way to estimate the value of a bet is:

Value = (Probability × Decimal Odds − 1) × 100%

Use probability in decimal form.

For example:

  • your probability estimate is 55%, or 0.55;
  • the bookmaker offers odds of 2.00.
(0.55 × 2.00 − 1) × 100% = +10%

The theoretical edge is therefore +10%.

Now consider another price:

  • probability — 55%;
  • odds — 1.70.
(0.55 × 1.70 − 1) × 100% = -6.5%
The result is negative. At your estimated probability, odds of 1.70 are not high enough.

 

Expected Value and Long-Term Profit

 

Value betting is closely related to Expected Value (EV).

A positive-EV bet is one that should produce a positive average return over a large number of similar bets, assuming the underlying probability estimate is accurate.

Consider the following bet:

  • odds — 2.00;
  • estimated win probability — 55%;
  • stake — $100.

If the bet wins, the net profit is $100.

The expected value is:

0.55 × $100 − 0.45 × $100 = +$10

So the theoretical expected profit is $10 per $100 staked over a sufficiently large sample of comparable bets.

That corresponds to an expected return of around 10%.

EV does not mean that one individual bet will return 10%. A single bet either wins, loses or is settled another way. Expected value only becomes meaningful across a large number of bets.

 

Why Bookmaker Margin Matters

 

Real-world odds already include the bookmaker's margin.

For example, instead of offering 2.00 and 2.00 on two equally likely outcomes, a bookmaker may offer:

  • 1.90;
  • 1.90.

The implied probability of each outcome is:

100 / 1.90 = 52.63%

Combined:

52.63% + 52.63% = 105.26%

The extra 5.26 percentage points represent the market's overround.

Important: removing the margin can give you an approximate no-vig market probability, but it does not automatically reveal the "true" probability of an outcome.

Even a no-vig market estimate is still a market estimate. To identify genuine value, you need an independent probability estimate that is more accurate than the market price.

 

Why High Odds Do Not Automatically Mean Value

 

This is one of the most common misunderstandings.

Odds of 5.00 may look more attractive than 1.50 because the potential payout is much larger. But that alone tells you nothing about whether the bet is good value.

Odds of 5.00 The implied probability is 20%. If the true probability is only 10%, the bet is actually badly overpriced from the bettor's perspective and has negative expected value.
Odds of 1.50 The implied probability is 66.67%. If the true probability is 75%, even these relatively short odds can represent value.

This is why Value Bets cannot be found simply by filtering for the biggest prices.

High odds ≠ good value.
Good value means the available price is higher than the price justified by the true probability.

 

Can a Favorite Be a Value Bet?

 

Yes. Value can exist on an underdog at 4.00 or on a strong favorite at 1.30.

Suppose:

  • the bookmaker offers 1.40;
  • the implied probability is 71.43%;
  • your estimate of the true probability is 78%.

The fair odds for a 78% probability are:

100 / 78 ≈ 1.28

The bookmaker is offering 1.40, which is above your fair price of 1.28.

If your probability estimate is accurate, this favorite can still be a positive-EV bet.

The problem is not that the selection is a favorite. The problem begins when bettors assume that short odds automatically mean low risk. We look at this in more detail in "Betting on Favorites: Why It Isn't Always Profitable".

 

How to Find Value Bets

 

The difficult part of value betting is not the formula. Calculating value is easy. Producing an accurate estimate of the true probability is much harder.

1
Estimate the probability Use data, a model, structured analysis or another repeatable method rather than relying on intuition alone.
2
Convert the probability into fair odds For example, a 60% probability corresponds to fair odds of roughly 1.67.
3
Compare your fair price with the bookmaker's odds If the bookmaker offers meaningfully higher odds than your fair price, there may be value.
4
Compare prices across bookmakers The same outcome might be available at 1.80 with one bookmaker and 1.95 with another. For a value bettor, that difference matters.
5
Check the margin and the wider market It is useful to understand not only how the price compares with your model, but also how it compares with the broader market.
6
Track your results One win or one loss proves nothing. You need a sufficiently large sample and consistent record keeping.

Want to compare your probability estimates with real market odds?

Check Odds at 1xBet

 

Value Bets and Closing Line Value

 

Value betting has an obvious problem: it is easy to say "I estimated this outcome at 60%," but much harder to prove that the estimate was actually accurate.

One useful way to evaluate the quality of your betting prices is to track Closing Line Value (CLV).

For example:

  • you place a bet at 2.10;
  • the market closes at 1.90 before the event begins.

You obtained a meaningfully better price than the one available at market close.

Consistently positive CLV can be a useful signal that a bettor is regularly finding strong prices.

CLV is not absolute proof of an edge, however. Closing odds still contain margin, market moves can happen for many different reasons, and the closing line should not be treated as a perfect representation of true probability.

It is better to use CLV as an additional diagnostic tool rather than as the only measure of betting quality.

 

Value Bets and Win Rate

 

Value betting does not require an extremely high Win Rate.

For example, a strategy might have:

  • Win Rate — 42%;
  • average odds — 2.60.

The break-even Win Rate at odds of 2.60 is:

100 / 2.60 = 38.46%

A 42% Win Rate is above that threshold.

Another strategy might win 75% of its bets but use odds that are too short to generate a profit.

We explain this relationship in detail in "Win Rate in Betting: Why a High Win Rate Doesn't Mean Profit".

For a value bettor, the goal is not to maximize the percentage of winning bets. The goal is to achieve positive expected value over the long run.

 

Value Betting vs Arbitrage Betting

 

Value betting and sports betting arbitrage are sometimes grouped together because both strategies revolve around bookmaker odds. But the underlying logic is very different.

Factor Value Betting Arbitrage Betting
Main idea Find odds that are higher than your fair price Find a combination of odds that covers all outcomes
Probability estimate required Yes No
Result of one bet Can win or lose The setup is designed to cover every outcome
Profit Emerges statistically over a large sample Calculated from the odds combination
Main objective Identify a mispriced outcome Identify a pricing discrepancy between bookmakers

With value betting, the bettor is effectively saying: "I believe this outcome happens more often than the current market price suggests."

With arbitrage betting, you do not necessarily need to estimate the probability of any outcome at all. What matters is the mathematical relationship between the available odds.

 

Common Value Betting Mistakes

 

Assuming every high price is a Value Bet Odds of 5.00 may still be too short if the true probability is only 10%.
Confusing market probability with true probability Bookmaker odds contain margin and reflect a market price, not a guaranteed forecast of the true chance.
Adjusting the probability to justify a bet you already like If you start with the price and invent the probability afterward, the entire Value Betting concept breaks down.
Judging a strategy after only a handful of bets Good Value Bets lose regularly. A meaningful evaluation requires a sufficiently large sample.
Ignoring price differences The same selection at 2.05 and 1.85 can have completely different expected value.
Treating a winning bet as proof of value The result of one event tells you nothing about whether the original price was good.

 

How Can You Tell Whether a Strategy Is Really Finding Value?

 

It is difficult to tell over a short sample. Even completely random bets can produce an excellent profit over 20 or 30 events.

It is more useful to evaluate several metrics together:

1
Number of bets The smaller the sample, the more strongly randomness can influence the results.
2
Average odds Without this, Win Rate is difficult to interpret correctly.
3
Actual Win Rate Compare it with the break-even percentage for the odds range you are betting.
4
Profitability Over a sufficiently large sample, a strategy with a genuine positive EV should eventually produce a corresponding financial edge, although losing periods and drawdowns are inevitable.
5
CLV Regularly beating the closing market can provide additional evidence that your price selection is strong.

 

The Bottom Line

 

A Value Bet is not simply a bet on the most likely winner, and it is not simply a bet at high odds.

It is a situation where the bookmaker's price is higher than the fair price implied by your estimate of the outcome's true probability.

If an outcome has a 55% probability, the fair odds are approximately 1.82. Odds of 2.00 may offer value; odds of 1.70 do not.

But the most important question is always the same: how accurate is your probability estimate?

The Value formula is easy. Producing a probability estimate that is more accurate than the market is much harder.

That is why Value Betting should be evaluated over a large sample using not only profit, but also average odds, Win Rate, sample size and Closing Line Value.

The core idea is simple: do not look for an outcome that is guaranteed to win. Look for a price that is better than the underlying risk.