📊 Check out the full analysis on Betfellows: Prognostic for USM Annaba x US Chaouia
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Analysis from USM Annaba x US Chaouia for the Algeria Division 2 – 18 of January
🏟️ USM Annaba X US Chaouia – Algeria Division 2
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 USM Annaba and US Chaouia.
Therefore, to find the numbers, our artificial intelligence has colected information from around 288868 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 USM Annaba x US Chaouia
Is it worth betting on USM Annaba?
🔵 USM Annaba: our artificial intelligence has calculated that the probability of this event happening is around 59.79%, meanwhile the bookies are offering avarage odds of 2.04. That is, when you make 1000 bets of $1 like this one, you:
- Would have hit 600 times – having a profit of $621.00;
- And would lose other 400 times – having a loss of -$400.00 with them.
It is a value bet, since after all you would have an expected final profit of 💰$221.00.
Is it worth betting on draw?
⚪ draw: our artificial intelligence has calculated that the probability of this event happening is around 31.36%, meanwhile the bookies are offering avarage odds of 2.90. This means that if you made 1000 bets of $1 like this, you:
- Would hit 310 times – this would give you 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 💰-$101.00.
Should you bet on US Chaouia?
🔴 US Chaouia: the model predicted that the probability of this event happening is 8.85% and we know that avarage odds offered by the bookies are 3.62. That is, when you make 1000 bets of $1 like this one, you:
- Would hit 90 times – profiting $235.80;
- And would lose other 910 times – having a loss of -$910.00 with them.
We are talking about a bet without profit, because after all you would have an expected final loss of 💰-$674.20.
Handicaps analysis for the match USM Annaba x US Chaouia
Another approach is trying to find the fair handicap for the main markets and our machine learning model will also give you a helping hand with that. Maybe you do not even know what this is. If handicap is a 7-headed monster for you, all you have to do is click on our article about Asian handicap on soccer betting and you will find a complete material to quickly teach you how it works. Click on it and leave it open on another tab to read later..
Moving ahead we can see what the model has in store for these markets here:
⚖ Handicap 1×2: -0.5 USM Annaba
⚽ Expected goals: 2.50 goals
Tips for the Handicap 1×2 market for USM Annaba x US Chaouia
⚖ Handicap 1×2: considering the estimates of our model, the main handicap should be -0.5 USM Annaba, and the current handicap offered by bookies is -0.25 USM Annaba.
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 USM Annaba.
Tips for the Goals Handicap market for USM Annaba x US Chaouia
⚽ Goals Handicap: considering the estimates of our model, the main handicap should be 2.50 goals, and the current handicap offered by bookies is 2.00 goals.
We can notice that the difference between the handicap predicted by the model and the one available to bet at the bookmaker is 0.50. Therefore, the recommended bet for the Goals Handicap is on: + 2.00 goals.
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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