Gobelins vs Dijon

Championnat National

Gobelins
Gobelins
vs
Dijon
Dijon
0 - 0Our Prediction

Gobelins vs Dijon Predictions

Home Win

Gobelins 0 - 0 Dijon

3.90
Best Odds When Tipped
Bet on this Tip

Visitor Picks (1x2) for Gobelins vs Dijon

Who will win?

1

1

Gobelins

x

Draw

2

2

Dijon

We've got Gobelins facing Dijon in the National 1 coming up, and our model has some thoughts on how this might play out.

How Are They Looking?

Gobelins have been decent of late: 3W 1D 1L from the last 5.

Solid stuff from Dijon — 3 wins, 2 draws, 0 defeats in their last 5.

Breaking Down The Odds

This is a coin flip, basically. Gobelins 20.00%, Dijon 26.70%, draw 53.30%. Take your pick. Scoreline prediction: 0-0.

Goals, Goals, Goals?

Both Teams to Score? The model says probably not — just 26.70% confidence.

This could be a tight, low-scoring affair. Over 2.5 Goals at just 35.00%. Over 1.5 sits at 40.00%.

Best Bet

We're going with Over 1.5 Goals at 1.83. The algorithm puts this at 40.00%.

Current Odds

Here's how the bookies see it — Gobelins 3.90, Draw 3.20, Dijon 1.80. BTTS priced at 2.25 Yes / 1.57 No. Over 2.5 Goals is 1.18.


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
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.