Strasbourg Women x Nantes Women Betting tips for November 23 in France Division 1 Women
📅 23/11/2024 16:00 |
Strasbourg Women 3.61 |
X 3.10 |
Nantes Women 2.00 |
This is the bet made by our artificial intelligence for Strasbourg Women x Nantes Women:
🔮 Nantes Women wins the match
💰 When you bet the bonus of $500 from Bet365 on Nantes Women, you can win up to $1000.00!
Some important points for the tip for Strasbourg Women x Nantes Women: 👉 If you had bet $100 on Strasbourg Women in each of its last 5 matches as home, you would have had a loss of $-30.0. |
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Analysis from Strasbourg Women x Nantes Women for the France Division 1 Women – 23 of November
🏟️ Strasbourg Women X Nantes Women – France Division 1 Women |
When the best bet on Strasbourg Women x Nantes 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.
And to do so, the algorithm analysed more than 1225929 matches on our football database looking for patterns to find the probabilities of the match ending with a victory for the home team, a tie or even a victory for the away team. Getting down to these values:
Tips for the 1×2 market for Strasbourg Women x Nantes Women
Is it a good idea to bet on Strasbourg Women?
🔵 Strasbourg Women: our artificial intelligence has calculated that the probability of this event happening is around 15.88%, meanwhile the bookies are offering avarage odds of 3.61. In other words, this means that if you made 1000 bets of $1 like this, you:
- Would hit 160 times – profiting $417.60;
- And would have lost other 840 times – with a loss of -$840.00 because of them.
Mathematically speaking, it is a negative expected value bet, because you would have an expected final loss of 💰-$422.40.
Is it a good idea to bet on draw?
⚪ draw: our artificial intelligence has calculated that the probability of this event happening is around 24.08%, meanwhile the bookies are offering avarage odds of 3.10. This means that if you made 1000 bets of $1 like this, you:
- Would hit 240 times – profiting $504.00;
- And would lose other 760 times – having a loss of -$760.00 with them.
That is why this bet does not have value. In the end, you would have had a final loss of 💰-$256.00.
Is it a good idea to bet on Nantes Women?
🔴 Nantes Women: the algorithm believes the chances of this event happening are 60.04% and we have noticed that the avarage odds offered by the bookmakers are 2.00. In other words, this means that if you made 1000 bets of $1 like this, you:
- Would have hit 600 times – having a profit of $600.00;
- And would lose other 400 times – losing -$400.00 with them.
It is a value bet, since after all you would have an expected final profit of 💰$200.00.
Handicaps analysis for the match Strasbourg Women x Nantes 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.
This is what our nice robot has to tell us about these markets:
⚖ Handicap 1×2: +0.25 Strasbourg Women
⚽ Expected goals: 2.50 goals
Tips for the Handicap 1×2 market for Strasbourg Women x Nantes Women
⚖ Handicap 1×2: our model believes that the ideal handicap is +0.25 Strasbourg Women and the available handicap to bet at the moment is +0.5 Strasbourg 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: +0.5 Strasbourg Women.
Tips for the Goals Handicap market for Strasbourg Women x Nantes Women
⚽ Goals Handicap: our model believes that the ideal handicap is 2.50 goals and the available handicap to bet at the moment is 2.25 goals.
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 Goals Handicap is on: + 2.25 goals.