Reboceros La Piedad vs UA Zacatecas: Lineups, Predictions & Betting Tips
Mexico Liga Premier Serie A
Reboceros La Piedad vs UA Zacatecas Predictions
Over 1.5
Reboceros La Piedad 3 - 2 UA Zacatecas
Visitor Picks (1x2) for Reboceros La Piedad vs UA Zacatecas
Who will win?
1
Reboceros La Piedad
x
Draw
2
UA Zacatecas
Reboceros La Piedad welcome UA Zacatecas in Liga Premier Serie A action on Sunday, 22 February 2026. Time to see what the numbers say.
How Are They Looking?
It's been up and down for Reboceros La Piedad: 2 wins, 1 draws, 2 losses recently.
UA Zacatecas's recent form reads WWDLL — nothing too dramatic either way. Back-to-back wins have steadied the ship.
The Algorithm's Verdict
This one looks fairly one-sided on paper. Reboceros La Piedad come in at 60.00% win probability, leaving UA Zacatecas at 26.70% and the draw 13.30%. The predicted scoreline? 3-2.
The Goals Markets
Both Teams to Score sits at 60.00%. Not the strongest lean either way.
Goals markets: Over 1.5 at 70.00%, Over 2.5 at 55.00%, Over 3.5 at 55.00%. Pretty middle-of-the-road stuff.
The Bet We Like
If we're putting our neck on the line, it's Over 1.5 Goals at 1.44. The model gives this a 70.00% probability.
The Odds
Bookies have it: Reboceros La Piedad 2.35, Draw 3.50, UA Zacatecas 2.45. BTTS Yes is 0.00, No is 1.57. Over 2.5 Goals at 1.50.
Match preview generated automatically using our football prediction algorithm. Data-driven doesn't mean guaranteed — always gamble responsibly.
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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