Copa Argentina


Home Win
Platense 2 - 1 Argentino Monte Maíz
Who will win?
1

Platense
x
Draw
2

Argentino Monte Maíz
Platense take on Argentino Monte Maíz in the Copa Argentina on Thursday, and we've crunched the numbers to see what's likely to happen.
Neither here nor there for Platense with 3 draws from 5 outings.
It's been rough for Argentino Monte Maíz: 4 defeats in their last 5. Confidence must be shot. Back-to-back defeats have raised a few eyebrows.
Platense edge it at 50.00%, but Argentino Monte Maíz aren't far behind at 20.00%. The draw at 30.00% is definitely in play too. Scoreline prediction: 2-1.
BTTS looks good here at 72.00% confidence. Both sides should get on the scoresheet.
Over 2.5 Goals at 53.30% — nothing to get too excited about. Over 1.5 is 86.70%, Over 3.5 is 20.00%.
If we're putting our neck on the line, it's Both Teams to Score at 2.50. The model gives this a 72.00% probability.
Bookies have it: Platense 1.36, Draw 5.00, Argentino Monte Maíz 7.50. BTTS Yes is 2.50, No is 1.50. Over 2.5 Goals at 3.25.
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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