Union Berlin W vs Carl Zeiss Jena W
Frauen Bundesliga
Union Berlin W vs Carl Zeiss Jena W Predictions
Home Win
Union Berlin W 0 - 2 Carl Zeiss Jena W
Visitor Picks (1x2) for Union Berlin W vs Carl Zeiss Jena W
Who will win?
1
Union Berlin W
x
Draw
2
Carl Zeiss Jena W
Sunday brings us Union Berlin W vs Carl Zeiss Jena W in the Frauen Bundesliga. Let's dig into the data and see where the value might be.
The Form Guide
Union Berlin W have been struggling — 3 losses in 5 games isn't great.
Carl Zeiss Jena W's form has dipped, picking up 3 defeats from their last 5.
Our Prediction
The model is pretty confident here — Carl Zeiss Jena W at 66.70% to win. Union Berlin W are given just 20.00%, with the draw at 13.30%. Our model reckons this ends 0-2.
Will We See Goals?
BTTS is at 56.70% — could go either way on that one.
Under might be the play here. Over 2.5 confidence is only 40.00%. Over 1.5 at 55.00% is more likely.
Our Pick
We're going with Carl Zeiss Jena W to win at 10.00. The algorithm puts this at 66.70%.
Market Prices
Market prices: Union Berlin W win 1.22, Carl Zeiss Jena W win 10.00, Draw 5.00. For goals, BTTS Yes 1.83 / No 1.83, Over 2.5 at 3.60.
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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