Dijon vs Caen

Championnat National

Dijon
Dijon
vs
Caen
Caen
2 - 1Our Prediction

Dijon vs Caen Predictions

Home Win

Dijon 2 - 1 Caen

1.73
Best Odds When Tipped
Bet on this Tip

Visitor Picks (1x2) for Dijon vs Caen

Who will win?

1

1

Dijon

x

Draw

2

2

Caen

Dijon take on Caen in the National 1 on Friday, and we've crunched the numbers to see what's likely to happen.

The Form Guide

Solid stuff from Dijon — 3 wins, 1 draws, 1 defeats in their last 5.

Neither here nor there for Caen with 3 draws from 5 outings.

The Algorithm's Verdict

Our model gives Dijon the slight nod (53.30%), though Caen at 13.30% means this is no foregone conclusion. Draw probability: 33.30%. The predicted scoreline? 2-1.

Will We See Goals?

Both Teams to Score sits at 63.30%. Not the strongest lean either way.

Two or three goals is the most likely outcome. Over 1.5: 75.00%. Over 2.5: 45.00%. Over 3.5: 40.00%.

Our Pick

We're going with Both Teams to Score at 2.10. The algorithm puts this at 63.30%.

What The Bookies Say

Market prices: Dijon win 1.73, Caen win 4.33, Draw 3.50. For goals, BTTS Yes 2.10 / No 1.67, Over 2.5 at 1.91.


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.