📊 Check out the analysis from this match on Betfellows: Complete prognostic for Sporting Women x Famalicao Women
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Analysis from Sporting Women x Famalicao Women for the Portugal Campeonato Nacional Women – 16 of January
🏟️ Sporting Women X Famalicao Women – Portugal Campeonato Nacional Women
When the best bet on Sporting Women x Famalicao Women 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.
To achieve that, the algorithm analyses more than 288046 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 Sporting Women x Famalicao Women
Is it worth betting on Sporting Women?
🔵 Sporting Women: the model predicted that the probability of this event happening is 71.32% and we know that avarage odds offered by the bookies are 1.62. That is, when you make 1000 bets of $1 like this one, you:
- Would have hit 710 times – having a profit of $440.20;
- And would lose other 290 times – losing -$290.00 with them.
It is a value bet, since after all you would have an expected final profit of 💰$150.20.
Should you bet on draw?
⚪ draw: our artificial intelligence has calculated that the probability of this event happening is around 19.16%, meanwhile the bookies are offering avarage odds of 3.77. In other words, this means that if you made 1000 bets of $1 like this, you:
- Would hit 190 times – profiting $526.30;
- And would lose other 810 times – having a loss of -$810.00 with them.
Mathematically speaking, it is a negative expected value bet, because you would have an expected final loss of 💰-$283.70.
Is it a good idea to bet on Famalicao Women?
🔴 Famalicao Women: the algorithm believes the chances of this event happening are 9.52% and we have noticed that the avarage odds offered by the bookmakers are 4.24. That is, when you make 1000 bets of $1 like this one, you:
- Would hit 100 times – this would give you a profit of $324.00
- And would have lost other 900 times – with a loss of -$900.00 because of them.
So this bet does not have value. After all, you would have an expected loss of 💰-$576.00.
Handicaps analysis for the match Sporting Women x Famalicao Women
The handicap market is also very searched for by bettors in professional bookmakers and our model can help you with that. 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.
Moving ahead we can see what the model has in store for these markets here:
⚖ Handicap 1×2: -1.25 Sporting Women
⚽ Expected goals: 3.25 goals
Tips for the Handicap 1×2 market for Sporting Women x Famalicao Women
⚖ Handicap 1×2: our model believes that the ideal handicap is -1.25 Sporting Women and the available handicap to bet at the moment is -1.0 Sporting Women.
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: -1.0 Sporting Women.
Tips for the Goals Handicap market for Sporting Women x Famalicao Women
⚽ Goals Handicap: considering the estimates of our model, the main handicap should be 3.25 goals, and the current handicap offered by bookies is 3.00 goals.
We can notice that the difference between the handicap predicted by the model and the one available to bet at the bookmaker is 0.25. Therefore, the recommended bet for the Goals Handicap is on: + 3.00 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