Tigres UANL vs Pachuca: Lineups, Predictions & Betting Tips
Liga MX
Tigres UANL vs Pachuca Predictions
Home Win
Tigres UANL 3 - 0 Pachuca
Visitor Picks (1x2) for Tigres UANL vs Pachuca
Who will win?
1
Tigres UANL
x
Draw
2
Pachuca
Tigres UANL welcome Pachuca in Liga MX action on Saturday, 21 February 2026. Time to see what the numbers say.
Recent Results
Tigres UANL have been decent of late: 3W 1D 1L from the last 5. Two wins in a row heading into this fixture.
Pachuca have been struggling — 3 losses in 5 games isn't great.
What Does The Model Say?
This one looks fairly one-sided on paper. Tigres UANL come in at 66.70% win probability, leaving Pachuca at 20.00% and the draw 13.30%. The predicted scoreline? 3-0.
Will We See Goals?
Both Teams to Score sits at 50.00%. Not the strongest lean either way.
Over 2.5 Goals at 45.00% — nothing to get too excited about. Over 1.5 is 50.00%, Over 3.5 is 30.00%.
Our Pick
We're going with Tigres UANL to win at 1.62. The algorithm puts this at 66.70%.
What The Bookies Say
Market prices: Tigres UANL win 1.62, Pachuca win 5.25, Draw 3.70. For goals, BTTS Yes 1.80 / No 1.95, Over 2.5 at 2.25.
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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