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15/1/2022 13:00 |
 Reggina2.88 |
X 3.15 |
Brescia  2.40 |
This is the tip that our machine learning model has selected for Reggina x Brescia:
๐ฎ Tied Match
๐ฐ When you bet the bonus of $500 from Bet365 on a tie, you can win up to $1575.00!
๐ Check out the analysis from this match on Betfellows: Complete prognostic for Reggina x Brescia
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If you already have an account on Bet365 or want other options of bookmakers, do not worry! This list below was carefully created taking you into consideration. These are the best bookies analysed by us in 2022. You just have to click, deposit and bet:
Analysis from Reggina x Brescia for the Italy Serie B – 15 of January
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๐๏ธ Reggina X Brescia – Italy Serie B |
A good bettor is not the one with a high hits percentage, but the one who bets on positive expected value events. Our AI model knows it very well and has looked for these opportunities for the match between Reggina and Brescia.
To achieve that, the algorithm analyses more than 287992 matches from Betfellows database, our collaborative prediction platform, seeking for patterns to get to the winning probabilities for the home team, a tie or a victory for the away team. That was the conclusion from our artificial intelligence:
Tips for the 1×2 market for Reggina x Brescia
Should you bet on Reggina?
๐ต Reggina: the model predicted that the probability of this event happening is 23.08% and we know that avarage odds offered by the bookies are 2.88. That is, when you make 1000 bets of $1 like this one, you:
- Would hit 230 times – this would give you a profit of $432.40
- And would have lost other 770 times – with a loss of -$770.00 because of them.
Mathematically speaking, it is a negative expected value bet, because you would have an expected final loss of ๐ฐ-$337.60.
Is it worth betting on draw?
โช draw: the model predicted that the probability of this event happening is 35.73% and we know that avarage odds offered by the bookies are 3.15. That is, when you make 1000 bets of $1 like this one, you:
- Would have hit 360 times – having a profit of $774.00;
- And would lose other 640 times – having a loss of -$640.00 with them.
It is a value bet, since after all you would have an expected final profit of ๐ฐ$134.00.
Should you bet on Brescia?
๐ด Brescia: the algorithm believes the chances of this event happening are 41.18% and we have noticed that the avarage odds offered by the bookmakers are 2.40. In other words, this means that if you made 1000 bets of $1 like this, you:
- Would have hit 410 times – having a profit of $574.00;
- And would lose other 590 times – having a loss of -$590.00 with them.
We are talking about a bet without profit, because after all you would have an expected final loss of ๐ฐ-$16.00.
Handicaps analysis for the match Reggina x Brescia
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. In case you do not know what handicaps are, we will solve this problem now: we sorted out the material about Asian handicap on betting so you can click and save it to learn about it on the first opportunity.
Take a look at what our artificial intelligence has set apart for these markets:
โ Handicap 1×2: +0.25 Reggina
โฝ Expected goals: 2.50 goals
Tips for the Handicap 1×2 market for Reggina x Brescia
โ Handicap 1×2: our model believes that the ideal handicap is +0.25 Reggina and the available handicap to bet at the moment is 0.0 Reggina.
Since the difference between the handicap we calculated and the offered by the bookie is 0.25, this means that the best bet for the Handicap 1×2 is on: -0.0 Brescia.
Tips for the Goals Handicap market for Reggina x Brescia
โฝ Goals Handicap: considering the estimates of our model, the main handicap should be 2.50 goals, and the current handicap offered by bookies is 2.25 goals.
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 Goals Handicap is on: + 2.25 goals.
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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
