Ujpest vs Diosgyori VTK: Lineups, Predictions & Betting Tips
NB I
Ujpest vs Diosgyori VTK Predictions
BTTS Yes
Ujpest 2 - 1 Diosgyori VTK
Visitor Picks (1x2) for Ujpest vs Diosgyori VTK
Who will win?
1
Ujpest
x
Draw
2
Diosgyori VTK
Ujpest take on Diosgyori VTK in the NB I on Saturday, and we've crunched the numbers to see what's likely to happen.
The Form Guide
Ujpest have been putting in a shift lately, banking 4 wins from 5 outings.
Solid stuff from Diosgyori VTK — 3 wins, 0 draws, 2 defeats in their last 5. Two wins in a row heading into this fixture.
Our Prediction
This one looks fairly one-sided on paper. Ujpest come in at 60.00% win probability, leaving Diosgyori VTK at 26.70% and the draw 13.30%. We're predicting a 2-1 final score.
Goals Verdict
Expect goals at both ends — BTTS comes in at 76.70% on our model.
This should be an open game — Over 2.5 comes in at 70.00%. Over 1.5 at 85.00%, Over 3.5 at 25.00%.
Top Selection
We're going with Both Teams to Score at 1.62. The algorithm puts this at 76.70%.
Market Prices
Bookies have it: Ujpest 1.83, Draw 3.40, Diosgyori VTK 3.60. BTTS Yes is 1.62, No is 2.20. Over 2.5 Goals at 1.80.
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.
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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