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Home Β» Predictions Β» Others Β» SGS Essen Women x Koln Women Betting tips for February 1 in Germany Bundesliga Women
Saturday, 01 February 2025, 11h00 Germany Bundesliga Women
SGS Essen Women SGS Essen Women
PREDICTION No tip
Koln Women Koln Women
Don't miss this prediction!

SGS Essen Women x Koln Women Betting tips for February 1 in Germany Bundesliga Women

Our betting tip for SGS Essen Women x Koln Women, Saturday, 1/2/2025
πŸ“… 1/2/2025
11:00
SGS Essen Women SGS Essen Women
1.83
X
3.40
Koln Women Koln Women
3.77

Our algorithm has selected this tip for SGS Essen Women x Koln Women:

πŸ‘Ž Umm…too bad! We did not find any positive expected value bets for SGS Essen Women x Koln Women

The main points for the tip for SGS Essen Women x Koln Women:

πŸ‘‰ If you had bet $100 on SGS Essen Women in each of its last 5 matches as home, you would have had a loss of $-500.
πŸ‘‰ If you had bet $100 on Koln Women in each of its last 5 matches as away, you would have had a loss of $-350.0.
πŸ‘‰ SGS Essen Women did not score any goals in the last 3 matches as home team.
πŸ‘‰ In the last 3 matches as the home team against Koln Women, SGS Essen Women scored at least 2 goal(s).
πŸ‘‰ In the last 3 SGS Essen Women matches as the home team, it finished under 2.5 goals.
πŸ‘‰ In the last 3 head-to-head matches between SGS Essen Women x Koln Women, with SGS Essen Women as the home team, they finished over 2.5 goals.
πŸ‘‰ SGS Essen Women has won all the last 3 matches playing at home against Koln Women.

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Summary

Do you want other suggestions of bookmakers to bet on SGS Essen Women x Koln Women?

If you want other options of bookmakers to bet on SGS Essen Women x Koln Women, no problem. Right below you have the sports betting sites that we used the most in 2025. You will be in good hands on any of them, just pick your favorite and start betting:

Analysis from SGS Essen Women x Koln Women for the Germany Bundesliga Women – 1 of February

🏟️ SGS Essen Women X Koln Women – Germany Bundesliga Women
πŸ“… 1 of February, 2025 – 11:00
πŸ”΅ SGS Essen Women – Winning probability: 52.45% | Fair line: 1.91
βšͺ Tied game – Probability of tied match: 25.15% | Fair line: 3.98
πŸ”΄ Koln Women – Winning probability: 22.40% | Fair line: 4.46
βš– Handicap 1Γ—2: 0.0 SGS Essen Women
⚽ Expected goals: 3.00 goals
β›³ Expected corner kicks: 10.25 corner kicks

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

To achieve that, the algorithm analyses more than 1254613 matches from our database 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 SGS Essen Women x Koln Women

Should you bet on SGS Essen Women?

πŸ”΅ SGS Essen Women: the model predicted that the probability of this event happening is 52.45% and we know that avarage odds offered by the bookies are 1.83. In other words, this means that if you made 1000 bets of $1 like this, you:

  • Would hit 520 times – profiting $431.60;
  • And would lose other 480 times – having a loss of -$480.00 with them.

So this bet does not have value. After all, you would have an expected loss of πŸ’°-$48.40.

Is it worth betting on draw?

βšͺ draw: the algorithm believes the chances of this event happening are 25.15% and we have noticed that the avarage odds offered by the bookmakers are 3.40. In other words, this means that if you made 1000 bets of $1 like this, you:

  • Would hit 250 times – this would give you a profit of $600.00
  • And would lose other 750 times – having a loss of -$750.00 with them.

We are talking about a bet without profit, because after all you would have an expected final loss of πŸ’°-$150.00.

Is betting on Koln Women worth it?

πŸ”΄ Koln Women: the algorithm believes the chances of this event happening are 22.4% and we have noticed that the avarage odds offered by the bookmakers are 3.77. This means that if you made 1000 bets of $1 like this, you:

  • Would have hit 220 times – having a profit of $609.40;
  • And would lose other 780 times – losing -$780.00 with them.

That is why this bet does not have value. In the end, you would have had a final loss of πŸ’°-$170.60.

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Handicaps analysis for the match SGS Essen Women x Koln Women

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. 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:

βš– Handicap 1Γ—2: 0.0 SGS Essen Women
⚽ Expected goals: 3.00 goals

Tips for the Handicap 1Γ—2 market for SGS Essen Women x Koln Women

βš– Handicap 1Γ—2: our model believes that the ideal handicap is 0.0 SGS Essen Women and the available handicap to bet at the moment is -0.5 SGS Essen Women.

We can notice that the difference between the handicap predicted by the model and the one available to bet at the bookmaker is 0.50. Therefore, the recommended bet for the Handicap 1Γ—2 is on: 0.5 Koln Women.

Tips for the Goals Handicap market for SGS Essen Women x Koln Women

⚽ Goals Handicap: our model believes that the ideal handicap is 3.00 goals and the available handicap to bet at the moment is 2.50 goals.

Since the difference between the handicap we calculated and the offered by the bookie is 0.50, this means that the best bet for the Goals Handicap is on: + 2.50 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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