Relentless intensity and tactical battles define French football’s second tier as Ligue 2 heads into Matchday 6 across the weekend of September 18–20. With early momentum crucial in the grueling marathon for promotion to the top flight, contenders and traditional heavyweights are desperate to stake their claim at the top of a fiercely competitive table.

The action gets underway with a loaded Friday night multiplex featuring key clashes like Grenoble Foot against Clermont Foot, Stade Lavallois hosting Sochaux, and Pau FC taking on Dunkerque. The drama reaches its peak on Saturday, headlined by a colossal showdown between two historic powerhouses as FC Metz welcomes Saint-Étienne to the Stade Saint-Symphorien, alongside En Avant Guingamp squaring off against Red Star FC. Explore our AI-driven match predictions, detailed team statistics, and data analytics for every encounter across this captivating round.

Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for Ligue 2 round 6. Asian refers to the recomended asian handicap line.

Both Teams to Score

BTS (Both Teams to Score) is a popular betting market in sports, especially in soccer. In a BTS bet, you’re wagering on whether both teams in a match will score at least one goal each. The table below shows the BTS stats for the home team at home and the away team away.

Totals

The table below shows the goal averages for each encounter based on home teams average performance (goals scored and conceded) at home, and away teams average performance away. We use poisson distribution to calculate probabilities for over and under 2.5 goal. For your convienence we have converted the probabilities to decimal odds.

We also have calculated the average goals scored and conceded for the teams. See the table below.

Correct Score Predictions

These projections are generated using advanced statistical models that evaluate team strength, expected‑goals data, and historical scoring patterns. The table below highlights the most probable scorelines based on current performance indicators and model‑driven probability weighting.