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Home » Predictions » Others » RB Leipzig Women x Bayern Munich Women Betting tips for February 2 in Germany Bundesliga Women
Sunday, 02 February 2025, 17h30 Germany Bundesliga Women
RB Leipzig Women RB Leipzig Women
PREDICTION Bayern Munich Women Wins Probability 98% 1 X 2
Bayern Munich Women Bayern Munich Women
ODD: @1.13 Don't miss this prediction!

RB Leipzig Women x Bayern Munich Women Betting tips for February 2 in Germany Bundesliga Women

Our betting tip for RB Leipzig Women x Bayern Munich Women, Sunday, 2/2/2025
📅 2/2/2025
17:30
RB Leipzig Women RB Leipzig Women
12.75
X
7.00
Bayern Munich Women Bayern Munich Women
1.13

This is the bet made by our artificial intelligence for RB Leipzig Women x Bayern Munich Women:

🔮 Bayern Munich Women wins the match
💰 When you bet the bonus of $500 from Bet365 on Bayern Munich Women, you can win up to $565.00!

Or access: https://www.bet365.com
 

Some important points for the tip for RB Leipzig Women x Bayern Munich Women:

👉 If you had bet $100 on RB Leipzig Women in each of its last 5 matches as home, you would have had a profit of $512.0.
👉 If you had bet $100 on Bayern Munich Women in each of its last 5 matches as away, you would have had a loss of $-265.0.
👉 In the last 7 matches as the away team, Bayern Munich Women scored at least 1 goal(s).

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Summary

Do you want other options of bookmakers to bet on RB Leipzig Women x Bayern Munich Women?

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 RB Leipzig Women x Bayern Munich Women for the Germany Bundesliga Women – 2 of February

🏟️ RB Leipzig Women X Bayern Munich Women – Germany Bundesliga Women
📅 2 of February, 2025 – 17:30
🔵 RB Leipzig Women – Winning probability: 0.13% | Fair line: 783.29
Tied game – Probability of tied match: 0.96% | Fair line: 104.43
🔴 Bayern Munich Women – Winning probability: 98.91% | Fair line: 1.01
⚖ Handicap 1×2: +2.5 RB Leipzig Women
⚽ Expected goals: 3.25 goals
⛳ Expected corner kicks: 9.50 corner kicks

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 RB Leipzig Women and Bayern Munich Women.

Therefore, to find the numbers, our artificial intelligence has colected information from around 1255121 matches on our betting database, 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 RB Leipzig Women x Bayern Munich Women

Is it worth betting on RB Leipzig Women?

🔵 RB Leipzig Women: our artificial intelligence has calculated that the probability of this event happening is around 0.13%, meanwhile the bookies are offering avarage odds of 12.75. In other words, this means that if you made 1000 bets of $1 like this, you:

  • Would hit 0 times – this would give you a profit of $0.00
  • And would lose other 1000 times – losing -$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.

Is it worth betting on draw?

draw: the algorithm believes the chances of this event happening are 0.96% 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 have hit 10 times – having a profit of $60.00;
  • And would lose other 990 times – losing -$990.00 with them.

We are talking about a bet without profit, because after all you would have an expected final loss of 💰-$930.00.

Is it worth betting on Bayern Munich Women?

🔴 Bayern Munich Women: the algorithm believes the chances of this event happening are 98.91% and we have noticed that the avarage odds offered by the bookmakers are 1.13. This means that if you made 1000 bets of $1 like this, you:

  • Would have hit 990 times – having a profit of $128.70;
  • And would lose other 10 times – having a loss of -$10.00 with them.

Mathematically speaking, this is a value bet because you would have an expected final profit of 💰$118.70.

Place your Bet with Bet365 Bonus

Handicaps analysis for the match RB Leipzig Women x Bayern Munich 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: +2.5 RB Leipzig Women
⚽ Expected goals: 3.25 goals

Tips for the Handicap 1×2 market for RB Leipzig Women x Bayern Munich Women

⚖ Handicap 1×2: considering the estimates of our model, the main handicap should be +2.5 RB Leipzig Women, and the current handicap offered by bookies is +2.25 RB Leipzig 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: -2.25 Bayern Munich Women.

Tips for the Goals Handicap market for RB Leipzig Women x Bayern Munich 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 3.25 goals. As the handicap available on the market is the same as that indicated by our robot, we will do nothing since there is not value bets on the Goals Handicap market.

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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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