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Home » Predictions » Italy Serie A » Inter Milan x Bologna Betting tips for January 15 in Italy Serie A
Wednesday, 15 January 2025, 19h45 Italy Serie A
Inter Milan Inter Milan
PREDICTION Inter Milan wins Probability 84% 1 X 2
Bologna Bologna
ODD: @1.4 Don't miss this prediction!

Inter Milan x Bologna Betting tips for January 15 in Italy Serie A

Our betting tip for Inter Milan x Bologna, Wednesday, 15/1/2025
📅 15/1/2025
19:45
Inter Milan Inter Milan
1.40
X
4.50
Bologna Bologna
7.00

This is the bet from our artificial intelligence for Inter Milan x Bologna:

🔮 Inter Milan wins the match
💰 When you bet the bonus of $500 from Bet365 on Inter Milan, you can win up to $700.00!

Or access: https://www.bet365.com
 

Some important points for the tip for Inter Milan x Bologna:

👉 If you had bet $100 on Inter Milan in each of its last 5 matches as home, you would have had a profit of $86.0.
👉 If you had bet $100 on Bologna in each of its last 5 matches as away, you would have had a profit of $70.0.
👉 In the last 9 matches as the home team, Inter Milan scored at least 1 goal(s).
👉 In the last 5 matches as the home team against Bologna, Inter Milan scored at least 1 goal(s).
👉 In the last 5 head-to-head matches between Inter Milan x Bologna, with Inter Milan as the home team, they finished over 2.5 goals.
👉 Playing as the home team, Inter Milan conceded at least 1 goal(s) in all the last 5 head-to-head against Bologna.
👉 In the last 3 road matches, Bologna has not lost any of them.

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Summary

Do you want other suggestions of bookmakers to bet on Inter Milan x Bologna?

If you already have an account on Bet365 or want other options of bookmakers, do not worry! This list below was carefully created taking you into consideration. These are the best betting sites analysed by us in 2025. You just have to click, deposit and bet:

Analysis from Inter Milan x Bologna for the Italy Serie A – 15 of January

🏟️ Inter Milan X Bologna – Italy Serie A
📅 15 of January, 2025 – 19:45
🔵 Inter Milan – Winning probability: 84.45% | Fair line: 1.18
Tied game – Probability of tied match: 10.57% | Fair line: 9.46
🔴 Bologna – Winning probability: 4.98% | Fair line: 20.07
⚖ Handicap 1×2: -1.25 Inter Milan
⚽ Expected goals: 3.00 goals
⛳ Expected corner kicks: 9.25 corner kicks

Even though it may not seem intuitive, a good betting model should not seek to get the result for Inter Milan x Bologna right, but instead show us in which events we have a positive expected value opportunity.

And to do so, the algorithm analysed more than 1246743 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 Match Odds market for Inter Milan x Bologna

Is betting on Inter Milan worth it?

🔵 Inter Milan: the algorithm believes the chances of this event happening are 84.45% and we have noticed that the avarage odds offered by the bookmakers are 1.40. This means that if you made 1000 bets of $1 like this, you:

  • Would hit 840 times – this would give you a profit of $336.00
  • And would lose other 160 times – having a loss of -$160.00 with them.

So this is a value bet. After all, at the end of these bets, you would have an expected profit of 💰$176.00.

Is it a good idea to bet on draw?

draw: the model predicted that the probability of this event happening is 10.57% and we know that avarage odds offered by the bookies are 4.50. That is, when you make 1000 bets of $1 like this one, you:

  • Would hit 110 times – this would give you a profit of $385.00
  • And would lose other 890 times – having a loss of -$890.00 with them.

So this bet does not have value. After all, you would have an expected loss of 💰-$505.00.

Is it worth betting on Bologna?

🔴 Bologna: the algorithm believes the chances of this event happening are 4.98% and we have noticed that the avarage odds offered by the bookmakers are 7.00. In other words, this means that if you made 1000 bets of $1 like this, you:

  • Would hit 50 times – profiting $300.00;
  • And would have lost other 950 times – with a loss of -$950.00 because of them.

Mathematically speaking, it is a negative expected value bet, because you would have an expected final loss of 💰-$650.00.

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Handicaps analysis for the match Inter Milan x Bologna

Maybe you prefer another approach: betting on Asian handicaps. We thought about it and our model also seeks to find the main handicaps of the most important markets. 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 football 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..

These are the handicaps that our algorithm analysed for you:

⚖ Handicap 1×2: -1.25 Inter Milan
⚽ Expected goals: 3.00 goals

Tips for the Handicap 1×2 market for Inter Milan x Bologna

⚖ Handicap 1×2: our model believes that the ideal handicap is -1.25 Inter Milan and the available handicap to bet at the moment is -1.25 Inter Milan.

Since there is not big differences between the handicap offered by bookies and the one suggested by our algorithm, we can consider that there is no value to bet on the Handicap 1×2 market.

Tips for the Goals Handicap market for Inter Milan x Bologna

⚽ Goals Handicap: our model believes that the ideal handicap is 3.00 goals and the available handicap to bet at the moment is 2.75 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: + 2.75 goals.

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Written by

Autor
Humberto Alves

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
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