Austria Wien W vs St. Pölten W
Frauenliga
Austria Wien W vs St. Pölten W Predictions
Home Win
Austria Wien W 3 - 2 St. Pölten W
Visitor Picks (1x2) for Austria Wien W vs St. Pölten W
Who will win?
1
Austria Wien W
x
Draw
2
St. Pölten W
Saturday brings us Austria Wien W vs St. Pölten W in the Frauenliga. Let's dig into the data and see where the value might be.
Current Form
Austria Wien W have been putting in a shift lately, banking 5 wins from 5 outings. Three wins on the bounce heading into this one.
St. Pölten W's recent form reads LWDWL — nothing too dramatic either way.
Who Wins This?
Austria Wien W edge it at 46.70%, but St. Pölten W aren't far behind at 40.00%. The draw at 13.30% is definitely in play too. The predicted scoreline? 3-2.
Will We See Goals?
BTTS is at 50.00% — could go either way on that one.
Over 2.5 Goals at 60.00% — nothing to get too excited about. Over 1.5 is 95.00%, Over 3.5 is 35.00%.
Our Pick
We're going with Over 1.5 Goals at 1.33. The algorithm puts this at 95.00%.
The Odds
Market prices: Austria Wien W win 2.25, St. Pölten W win 2.80, Draw 3.20. For goals, BTTS Yes 0.00 / No 1.70, Over 2.5 at 1.53.
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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