**Value betting** is a phrase used to describe an approach to gambling for long term profit. Although this term is widely employed in the sports betting world, unfortunately neither ‘value’ nor ‘value betting’ are anywhere clearly defined, which naturally leads to misunderstanding and confusion.

When people talk about ‘value’ in connection with betting there are many different schools of thought.

This article therefore attempts to shed some light on this complex concept and its terminology…

Firstly, let us begin with a few synonyms for the word **‘value’**: *worth; usefulness; advantage; benefit; gain; profit; amount; rate; price…*

You can see straight away that there is a plethora of different connotations.

The last two meanings in particular, ‘rate’ and ‘price’, are probably the reason why the expression ‘value’, when used in the context of ‘value betting’ is often unclear.

### So, what is Value in relation to Sports Betting?

In order to really understand the concept of ‘value betting’, you need to grasp several connected aspects and I will tackle each of these individually for better comprehension.

*Tip: Grab yourself a caffeine shot and read every section (re-read if necessary) until you are comfortable enough to proceed to the next. What I am about to say may initially be hard for some to digest, but don’t worry, you will certainly not be alone. Headache pills may be advisable for some…* 😉

## (1) Betting Odds are solely the Market Prices for Bets

Anyone interested in sports betting knows that bookmakers offer bets on a multitude of match outcomes and sometimes the list of available bets on a single event can appear endless.

For example, the 1×2 market allows you to bet on a home win, a draw, or an away win, either at half- or full-time. Will there be more than two goals in the match or not (over or under 2.5 goals), will both teams score, or will the match end goal-less? Et cetera, et cetera…

Only very few bettors fully comprehend and understand the fact that **betting odds are nothing more than the market prices of bets**.

### Betting Odds are Prices that Few Understand

Betting odds are not only all-inclusive prices for bets but to add to the confusion they are displayed, not in simple and easy understandable monetary units, but in different formats such as decimals, fractions, or moneyline.

When buying a bottle of beer, for example, you pay one Euro, Pound or Dollar and walk home with your purchase. When buying a bet, say, at decimal odds of **1.27** *( 27/100 Fractional Odds; -370 U.S. Money Line)*, the only thing you may understand is that if the bet wins you will receive your stake money back plus 27% winnings. Of course, if the bet loses all of the stake money is forfeited.

Judging ‘value for money’ from a bottle of beer is far easier than evaluating the same in a bet. Many bettors struggle to calculate the expected return of a bet or a series of bets let alone analyse why the big win they hoped for failed to materialise.

Even if sports betting odds appear to be genuine offers, the fact is that odds are frequently distorted.

### Betting Odds cannot be priced by Gut Feeling or Intuition

Very few people are born with a sense of probabilities and ratios. Statistics and financial education are rarely taught in high school and touched upon in very few university courses.

To develop a ‘feeling for price’ is impossible, even for those of us who are born with a sense of probabilities.

To make matters worse, **every bet is actually a different product**, even if betting on just one particular type, for example, the “over 1.5 goals” market. Think about this bet in the context of a match between two evenly matched teams as opposed to, say, the team at the top of the table playing the weakest team in the league. The name of the bet is still the same but the two match situations are totally different.

There is no way but applying maths and statistics to decide whether the price of any bet offered is “too expensive” or “too cheap”. Gut feeling is misleading and may prove fatal. Probabilities are a subject too complex to succeed with guesswork, feeling and intuition alone.

For those of you who are really serious about understanding sports betting in depth and developing a value betting strategy, there really is no alternative to **learning the calculations necessary**.

In order to grasp the concept of value it is of uttermost importance to comprehend that **betting odds are merely prices**, and not ‘true odds’.

*Before I address the term ‘value’ I must first plunge into probabilities… please stay afloat!*

Hello, have you ever thought about taking in consideration recent Games and their Results of both Teams against common opponents? You can find this information on sites like fussball.wettpoint.com . For example

Team Avellino won 30 % of the Games against common opponents (with 30 % Draws)

and the Team Frosinone won up to today 45 % of these Games (45 % Draw). Adding this stats to the final real odds.

In this particular game the “real odds” according to the spreadsheet are 37.5% 27.1% 35.4% but we can use also the stats from above and make an average of real odds.

So now the real odds should look like this 33.8% 36% and 30.2% for the draw. I hope you understand me my english is not my first language.

Hi Manu,

if you want to take into consideration recent games then you can only use games against equally strong opponents

(find the stats for the last 6 games by.HO/AO quotient)Next, calculate the observed distributions for the 5 previous seasons; without any games of the current season

(again, for the HO/AO quotient of the match analysed)That is the ‘expectation’ (expectancy value) for the current season.Last, take into consideration the phenomenon:

Regression toward the Mean. This statistical phenomenon means that if a variable is extreme on its first measurement, it will tend to be closer to the average on its second measurement—and if it is extreme on its second measurement, it will tend to have been closer to the average on its first.Very simplified example:(= expected distribution): 45% home wins – 40% draws – 15% away wins(to get closer to the expectancy values): 40% home wins – 50% draws – 10% away winsPlease keep in mind that 1×2 calculations are unfortunately not as straightforward as the above example (e.g. you also have to take goal differences into consideration) but something along these lines.

Hope that helps you to think in the right direction.

Best wishes,

Soccerwidow

I have to disagree with you when you say that ‘Betting odds can be converted into implied probabilities but these have little to do with the actual expected distribution of results’. Depending on the market you choose, betting odds are a much better indicator of an event outcome than any other method out there. Given that the chosen bookmaker has enough transctions on a single event, the prediction extracted from odds probabilities are most accurate. The ‘wisdom of the crowd’ is not just a theory it’s a fact and many studies have oroven that.

Hi Max, if bookmakers would always price their odds ‘true’ then they couldn’t stay in business and grow. They have to underprice the most likely outcomes and ensure that the mathematical advantage is always on their side. They utilise the ‘wisdom of the crowd’ to their advantage.

Here are a few articles which explain this enigma a little bit more in detail:

How Bookmakers’ Odds Match Public Opinion

5 Simple Steps to Win Over and Under Betting

Finding Betting Odds Inflection Points – Bet and Win

Hi Soccerwidow

I get what you are saying, but what do you think about articles like this?

According to the efficient market hypothesis, the closing odds provide the most efficient or most accurate representation of the probabilities of actual results, since they reflect the most amount of information expressed in the form of wagers by the betting public.

[…..]

Given the strength of the correlation and its almost perfect 1:1 relationship between expected and observed yields (Football-data.co.uk)

or this one

Through looking at the correlation between the expected probability of a game’s outcome and the actual outcome it is possible to determine how accurate a bookmaker’s odds are. From a sample size of 397,935 football games offered by Pinnacle Sports, a sharp bookmaker, there existed a high correlation (r-squared = 0.997) between the closing lines and the observed probabilities. In other words, Pinnacle’s odds accurately predicted the real world outcome 99.7% of the time. Meaning that that their odds are very efficient. (blog.tradematesports.com)

The football-data.co.uk article is about the accurancy of the expected Yield, not about the accuracy of odds…

For example, if he bet a team at a price of 2.50 which subsequently closed at 2.00, his expected value would be 2.50/2.00 or 25%. This expected value would thus be equivalent to his expected yield over a larger sample of wagers.The other article from blog.tradematesports.com is a very long article, and what I can see on the first glance it’s mainly targeted at traders… It’s mainly about that

trades close to kick-off reduces the likelihood that the edge will change dramatically.I agree with the statement that

The closing line in high liquidity markets reflects the true odds, because it incorporates all of the information that exists in the market, but there is also the statementLower liquidity markets are much more volatile and thus riskier than high liquidity markets..As already said, this article is targeting traders and these people are mainly interested into high liquidity markets, but Soccerwidow is targeting punters and value bettors, and therefore I stick to my statement that

Bookmakers’ Odds Match Public Opinionif they can make use of the ‘wisdom of the crowd’, or in other words, of the ‘gut feelings’ of the bettors.And isn’t than more effective to use the closing line from high liquidity markets against the small bookmakers who are not able to update their odds in real time. In my opinion this is where we can find real value odds. At least it worked for me for many years. I find it useless to chase all sorts of fantasy stats when you have such a good indicator of a game outcome. At least this is my opinion.

Hi,

In your spreadsheet for U 3,5 goals you have a Value 1 = 25,3%, how did you calculate this?

I tried with your method from page 3: (0,52 / 0,42) – 1 = 23,8%

Thanks.

Hi Pettersen,

the odds (1.42) shown in the spreadsheet originate from 70.67% converted into odds = 1.415028, and then rounded to 1.42 to be shown in the spreadsheet.

The calculation is based on the 1.415028. Please try again, and you will see that it results in 25.3%.

Remember as a general rule always to calculate with percentages, and not with odds.

Dear soccerwidow

The above shows how a back bet value edge is counted.

I can’t seems to understand the way you count a lay bet value

Do you mind showing me how?

Hi TechChuan,

to calculate the ‘value’ for a lay bet you have simply to reverse the calculations.

Just repeat the calculations as shown on page #3, and reverse the odds. Assume that the implied probability was 81.3% (market odds 1.23), and the true odds 78.7% (1.27).

thank you very much. Ill look more into it.

Where can I find total goal odds calculation in your web? Ive been looking into every article of yours but I can’t find any info regarding total goal calculation

You will actually only find one article regarding total goal distribution on the website:

Goal Distribution Comparison – EPL, Bundesliga, Ligue 1, EredivisieThe problem is that writing articles like this not only takes a few days of writing time, but also requires hundreds of working hours of research and calculations.

I’m sorry, but it is impossible to provide substantial work for free. Therefore, for those interested into goal calculation there is a

(paid)course available:Football Betting Odds Calculation Course – How to Calculate Odds – Over / Under ‘X’ GoalsDear soccer widow

May I ask which parameter do you weight more before deciding to bet, value or hit rate?

Your site has the most complete knowledge of value bets and probability that i can find.

I have spent many days reading through all your articles. Still a lot to learn from you all.

Thank you so much for your great effort.

TeckChuan

I’m risk avers, so for me, the hit rate is more important.

We have a nice saying in German:

Kleinvieh macht auch MistThe literal translation is:

Flock makes also muck.The meaning is that even small amounts add up to big piles. It’s about steadiness.I think the English proverb equivalent is:

Many a little makes a mickle.Dear soccerwidow

How about the hit rate of a lay bet ?

Say Wales has a true odd of 8.33 to win, market odds is 6.2

So lay bet value is 34% and hit rate of Wales not winning is 88%?

Thanks a lot

Correct!

The lay bet value is 34.35%, and the expected hit rate of Wales not winning 88%.

By the way, the value here calculated is the expected Yield if bets like this are carried out over and over again.

TC1 – Thanks for the praise (blush!). Sadly we have no plans at present to re-start a value betting tipping service. Firstly, it was very time-consuming and secondly, very difficult to maintain an ethical approach against a backdrop of clients who praised when things went well, and those who criticised when things didn’t work out for them in the short-run.

Value betting is a long-term strategy but no matter how many times we point this out to people, they still get tense and agitated when the inevitable losing streaks occur. We don’t wish to martyr ourselves again, so producing picks is not on the agenda at this time.

Sorry to disappoint and thanks for all your past and valued contributions to Soccerwidow.

will you be resuming your tips ( value bets ) like you produced for Betfair , always found them very good

just, Thank You!

I do need to read again.. and probably again and again and again, but this is the first thing ever that makes even a starter amount of sense (I am a bookie offer taker) but never believed all offers were “long term” value

Hi Soccerwidow! Thank for your site. How find value in correct score market? Can we apply this article to correct score market? Thanks

Hi Soccerwidow,

thanks a lot for your articles.

I think I found a small error in the alternative calculation method on page 3.

It says: 100 × 10 × 0.23 × 81.3% = 219.51 units

Correct would be 0.27 instead of 0.23. The result stays the same.

Daniel

Hi Daniel,

Many thanks for taking the trouble to point out the typing error, which has now been corrected.

Your support is greatly appreciated,

Soccerwidow 🙂