Anderlecht W vs Genk W
Belgium Super League Women
Anderlecht W vs Genk W Predictions
Home Win
Anderlecht W 3 - 1 Genk W
Visitor Picks (1x2) for Anderlecht W vs Genk W
Who will win?
1
Anderlecht W
x
Draw
2
Genk W
We've got Anderlecht W facing Genk W in the Super League Women coming up, and our model has some thoughts on how this might play out.
How Are They Looking?
Anderlecht W have been decent of late: 3W 0D 2L from the last 5.
Genk W are a mixed bag lately: 1W 2D 2L from the last 5.
Breaking Down The Odds
Anderlecht W are clear favourites according to our numbers: 66.70% to take all three points. Genk W? Only 20.00%. Draw sits at 13.30%. The predicted scoreline? 3-1.
Will We See Goals?
66.70% for Both Teams to Score. Yeah, we fancy both nets to bulge in this one.
Over 2.5 Goals at 60.00% — nothing to get too excited about. Over 1.5 is 75.00%, Over 3.5 is 50.00%.
Where's The Value?
Over 2.5 Goals looks like the play here — 4.50 available with a 60.00% confidence rating from our model.
The Odds
Market prices: Anderlecht W win 1.22, Genk W win 9.00, Draw 5.25. For goals, BTTS Yes 0.00 / No 2.00, Over 2.5 at 4.50.
AI-generated match preview based on our prediction model. The algorithm analyses thousands of data points, but it's still just probabilities. Gamble responsibly and only bet what you can afford to lose.
David Shaw
Professional Sports Betting Analytics Expert & Algorithm Developer.
David Shaw is a pioneering figure in the sports betting analytics industry with over 12 years of specialized experience. He launched his first online sports data platform in 2014, quickly becoming the #1 ranked football tipster on Tipster Portal. Following the successful acquisition of his original platform, David founded FootyGuru365.com, which was also subsequently acquired as well as SoccerTips.ai.
David's crowning achievement is the development of the Betminer Algorithm - recognized as the world's most accurate football predictions algorithm. This sophisticated API now powers hundreds of major websites globally, providing cutting-edge predictions data to millions of users. He holds a degree in Computing from the University of the West of England, combining academic knowledge with real-world betting expertise.
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