Primera División RFEF - Group 1


Over 1.5
Real Avilés 2 - 2 Real Madrid II
Who will win?
1

Real Avilés
x
Draw
2

Real Madrid II
We've got Real Avilés facing Real Madrid II in the Primera División RFEF - Group 1 coming up, and our model has some thoughts on how this might play out.
Real Avilés can't buy a win right now. 4 losses from 5 is grim reading. Three straight losses — they'll be desperate to stop the rot.
A bit wobbly from Real Madrid II recently: 0W 2D 3L in their last 5.
This is a coin flip, basically. Real Avilés 40.00%, Real Madrid II 40.00%, draw 20.00%. Take your pick. We're predicting a 2-2 final score.
BTTS looks good here at 72.00% confidence. Both sides should get on the scoresheet.
Goals expected here. Over 2.5 at 73.30% confidence. The Over 1.5 (73.30%) looks nailed on, and even Over 3.5 (20.00%) isn't crazy.
We're going with Over 2.5 Goals at 1.33. The algorithm puts this at 73.30%.
Market prices: Real Avilés win 2.80, Real Madrid II win 2.20, Draw 3.30. For goals, BTTS Yes 1.91 / No 1.80, Over 2.5 at 1.33.
This analysis was automatically generated by the Football Park prediction system. The model uses historical performance and statistical analysis — but remember, this is football, and upsets happen. Please bet responsibly.

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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