| π
15/1/2022 15:00 |
 Huddersfield2.38 |
X 3.28 |
Swansea  2.90 |
This is the bet from our artificial intelligence for Huddersfield x Swansea:
π Unfortunately, we did not find any positive expected value bets for Huddersfield x Swansea
π Check out the analysis on Betfellows for this match: Full prognostic for Huddersfield x Swansea
Looking for another bookie to bet on Huddersfield x Swansea?
If you want other options of bookmakers to bet on Huddersfield x Swansea, no problem. Right below you have the bookies that we used the most in 2022. You will be in good hands on any of them, just pick your favorite and start betting:
Analysis from Huddersfield x Swansea for the England Championship – 15 of January
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ποΈ Huddersfield X Swansea – England Championship |
When the best bet on Huddersfield x Swansea is analysed, notice that our AI model is not interested in getting the right result, but instead in looking for situations where the bookies offer us a positive expected value.
Therefore, to find the numbers, our artificial intelligence has colected information from around 287992 matches on the betting prognostics platform Betfellows , in order to calculate the probabilities of this match ending with a home team victory, a tied match or even an away team victory. Check out the results:
Tips for the 1×2 market for Huddersfield x Swansea
Should you bet on Huddersfield?
π΅ Huddersfield: the algorithm believes the chances of this event happening are 40.72% and we have noticed that the avarage odds offered by the bookmakers are 2.38. That is, when you make 1000 bets of $1 like this one, you:
- Would hit 410 times – this would give you a profit of $563.75
- And would lose other 590 times – having a loss of -$590.00 with them.
Mathematically speaking, it is a negative expected value bet, because you would have an expected final loss of π°-$26.25.
Is betting on draw worth it?
βͺ draw: the algorithm believes the chances of this event happening are 28.17% and we have noticed that the avarage odds offered by the bookmakers are 3.28. This means that if you made 1000 bets of $1 like this, you:
- Would hit 280 times – profiting $638.40;
- And would lose other 720 times – losing -$720.00 with them.
That is why this bet does not have value. In the end, you would have had a final loss of π°-$81.60.
Should you bet on Swansea?
π΄ Swansea: the model predicted that the probability of this event happening is 31.11% and we know that avarage odds offered by the bookies are 2.90. That is, when you make 1000 bets of $1 like this one, you:
- Would have hit 310 times – having a profit of $589.00;
- And would lose other 690 times – having a loss of -$690.00 with them.
Mathematically speaking, it is a negative expected value bet, because you would have an expected final loss of π°-$101.00.
Handicaps analysis for the match Huddersfield x Swansea
Maybe you prefer another approach: betting on Asian handicaps. We thought about it and our model also seeks to find the main handicaps of the most important markets. If you have no idea what a handicap is, do not worry! We have a complete article about the Asian handicap on sporting betting that will answer all your questions. You can click on it and leave it open on another tab so you can read later.
These are the handicaps that our algorithm analysed for you:
β Handicap 1×2: 0.0 Huddersfield
β½ Expected goals: 2.25 goals
Tips for the Handicap 1×2 market for Huddersfield x Swansea
β Handicap 1×2: our model believes that the ideal handicap is 0.0 Huddersfield and the available handicap to bet at the moment is -0.25 Huddersfield.
We can notice that the difference between the handicap predicted by the model and the one available to bet at the bookmaker is 0.25. Therefore, the recommended bet for the Handicap 1×2 is on: 0.25 Swansea.
Tips for the Goals Handicap market for Huddersfield x Swansea
β½ Goals Handicap: our model believes that the ideal handicap is 2.25 goals and the available handicap to bet at the moment is 2.25 goals.
Since there is not big differences between the handicap offered by bookies and the one suggested by our algorithm, we can consider that there is no value to bet on the Goals Handicap market.
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Written by
Humberto Alves
Hi there! You can call me Beto! I'm 32 years old, graduated in Business Management and now I'm doing my second degree in Statistics and Data Science, which is really helpful to bring the Machine Learning models applied in sports betting that you see here. Even though I'm in this betting world since 2010, there's still a lot to be learned.
> Check other content created by Humberto Alves
