📊 Check out the full analysis on Betfellows: Prognostic for Barcelona Women x Real Madrid Women
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Analysis from Barcelona Women x Real Madrid Women for the Spain Super Cup Women – 19 of January
🏟️ Barcelona Women X Real Madrid Women – Spain Super Cup Women
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 Barcelona Women and Real Madrid Women.
To achieve that, the algorithm analyses more than 289909 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 Match Odds market for Barcelona Women x Real Madrid Women
Should you bet on Barcelona Women?
🔵 Barcelona Women: the algorithm believes the chances of this event happening are 99.99% and we have noticed that the avarage odds offered by the bookmakers are 1.04. That is, when you make 1000 bets of $1 like this one, you:
- Would hit 1000 times – profiting $40.00;
- And would lose other 0 times – having a loss of -$0.00 with them.
It is a low stake bet, since after all you would have an final expected profit of just 💰$40.00. Which is not even that worthy considering the risk!
Should you bet on draw?
⚪ draw: the model predicted that the probability of this event happening is 0.0% and we know that avarage odds offered by the bookies are 13.00. This means that if you made 1000 bets of $1 like this, you:
- Would have hit 0 times – having a profit of $0.00;
- And would have lost other 1000 times – with a loss of -$1000.00 because of them.
So this bet does not have value. After all, you would have an expected loss of 💰-$1000.00.
Is it a good idea to bet on Real Madrid Women?
🔴 Real Madrid Women: the model predicted that the probability of this event happening is 0.0% and we know that avarage odds offered by the bookies are 29.00. That is, when you make 1000 bets of $1 like this one, you:
- Would hit 0 times – profiting $0.00;
- And would lose other 1000 times – having a loss of -$1000.00 with them.
We are talking about a bet without profit, because after all you would have an expected final loss of 💰-$1000.00.
Handicaps analysis for the match Barcelona Women x Real Madrid Women
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. 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.
This is what our nice robot has to tell us about these markets:
⚖ Handicap 1×2: -3.0 Barcelona Women
⚽ Expected goals: 3.75 goals
Tips for the Handicap 1×2 market for Barcelona Women x Real Madrid Women
⚖ Handicap 1×2: our model believes that the ideal handicap is -3.0 Barcelona Women and the available handicap to bet at the moment is -3.25 Barcelona Women.
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: 3.25 Real Madrid Women.
Tips for the Goals Handicap market for Barcelona Women x Real Madrid Women
⚽ Goals Handicap: our model believes that the ideal handicap is 3.75 goals and the available handicap to bet at the moment is 4.25 goals.
Since the difference between the handicap we calculated and the offered by the bookie is -0.50, this means that the best bet for the Goals Handicap is on: – 4.25 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