📊 Check out the analysis on Betfellows for this match: Full prognostic for VfL Osnabruck x Saarbrucken
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Analysis from VfL Osnabruck x Saarbrucken for the Germany 3.Liga – 15 of January
🏟️ VfL Osnabruck X Saarbrucken – Germany 3.Liga
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 VfL Osnabruck and Saarbrucken.
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 VfL Osnabruck x Saarbrucken
Is it worth betting on VfL Osnabruck?
🔵 VfL Osnabruck: the model predicted that the probability of this event happening is 45.95% and we know that avarage odds offered by the bookies are 2.10. In other words, this means that if you made 1000 bets of $1 like this, you:
- Would hit 460 times – profiting $506.00;
- And would lose other 540 times – having a loss of -$540.00 with them.
That is why this bet does not have value. In the end, you would have had a final loss of 💰-$34.00.
Is betting on draw worth it?
⚪ draw: the algorithm believes the chances of this event happening are 27.8% and we have noticed that the avarage odds offered by the bookmakers are 3.30. This means that if you made 1000 bets of $1 like this, you:
- Would have hit 280 times – having a profit of $644.00;
- And would lose other 720 times – losing -$720.00 with them.
Mathematically speaking, it is a negative expected value bet, because you would have an expected final loss of 💰-$76.00.
Is it a good idea to bet on Saarbrucken?
🔴 Saarbrucken: the model predicted that the probability of this event happening is 26.25% and we know that avarage odds offered by the bookies are 3.11. In other words, this means that if you made 1000 bets of $1 like this, you:
- Would have hit 260 times – having a profit of $549.25;
- And would lose other 740 times – having a loss of -$740.00 with them.
Mathematically speaking, it is a negative expected value bet, because you would have an expected final loss of 💰-$190.75.
Handicaps analysis for the match VfL Osnabruck x Saarbrucken
The handicap market is also very searched for by bettors in professional bookmakers and our model can help you 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: 0.0 VfL Osnabruck
⚽ Expected goals: 2.25 goals
Tips for the Handicap 1×2 market for VfL Osnabruck x Saarbrucken
⚖ Handicap 1×2: considering the estimates of our model, the main handicap should be 0.0 VfL Osnabruck, and the current handicap offered by bookies is -0.25 VfL Osnabruck.
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 Saarbrucken.
Tips for the Goals Handicap market for VfL Osnabruck x Saarbrucken
⚽ Goals Handicap: our model believes that the ideal handicap is 2.25 goals and the available handicap to bet at the moment is 2.50 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: – 2.50 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