FAW Championship


Home Win
Mold Alexandra 2 - 1 Denbigh Town
Who will win?
1

Mold Alexandra
x
Draw
2

Denbigh Town
Saturday brings us Mold Alexandra vs Denbigh Town in the FAW Championship. Let's dig into the data and see where the value might be.
It's been rough for Mold Alexandra: 4 defeats in their last 5. Confidence must be shot. Two losses on the spin is a concern.
A bit wobbly from Denbigh Town recently: 2W 0D 3L in their last 5.
Mold Alexandra edge it at 53.30%, but Denbigh Town aren't far behind at 40.00%. The draw at 6.70% is definitely in play too. Our model reckons this ends 2-1.
BTTS looks good here at 81.70% confidence. Both sides should get on the scoresheet.
Over 2.5 Goals at 62.50% — nothing to get too excited about. Over 1.5 is 95.00%, Over 3.5 is 25.00%.
If we're putting our neck on the line, it's Over 1.5 Goals at 1.53. The model gives this a 95.00% probability.
Bookies have it: Mold Alexandra 2.50, Draw 3.75, Denbigh Town 2.25. BTTS Yes is 0.00, No is 2.00. Over 2.5 Goals at 1.44.
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.

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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