Debreceni VSC vs Paks

NB I

Debreceni VSC
Debreceni VSC
vs
Paks
Paks
1 - 1Our Prediction

Debreceni VSC vs Paks Predictions

Home Win

Debreceni VSC 1 - 1 Paks

3.20
Best Odds When Tipped
Bet on this Tip

Visitor Picks (1x2) for Debreceni VSC vs Paks

Who will win?

1

1

Debreceni VSC

x

Draw

2

2

Paks

Debreceni VSC take on Paks in the NB I on Saturday, and we've crunched the numbers to see what's likely to happen.

The Form Guide

A bit wobbly from Debreceni VSC recently: 2W 0D 3L in their last 5.

It's been up and down for Paks: 2 wins, 1 draws, 2 losses recently.

The Algorithm's Verdict

This is a coin flip, basically. Debreceni VSC 40.00%, Paks 40.00%, draw 20.00%. Take your pick. Our model reckons this ends 1-1.

How Many Goals?

BTTS is at 60.00% — could go either way on that one.

Over 2.5 Goals at 50.00% — nothing to get too excited about. Over 1.5 is 60.00%, Over 3.5 is 15.00%.

The Bet We Like

Both Teams to Score looks like the play here — 1.50 available with a 60.00% confidence rating from our model.

Market Prices

Here's how the bookies see it — Debreceni VSC 3.20, Draw 3.60, Paks 2.10. BTTS priced at 1.50 Yes / 2.50 No. Over 2.5 Goals is 1.36.


This content was created by our AI prediction system. It's based on real data and proper stats, but football doesn't always follow the script. Bet within your means.


David Shaw
Journalist
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.