Ligue 1 predictions

Ligue 1 predictions by match, with published odds and explanations. Choose an available match date.

24 selections

Sun, Oct 25 · 6 selections · America/New_York

FT
MonacovsLille

BTTS

Pick odds

Both teams to score

1.57
Why this pick?

Across its last 10 competitive matches, Monaco scores 1.6 and concedes 1.3 goals per match. Across its last 10 competitive matches, Lille scores 1.2 and concedes 0.8 goals per match. The estimated chance of a goal from both teams is 52%. One team failing to score is enough to lose this bet. Competition history and recent form inform this estimate. The match can unfold differently.

FT
AngersvsLorient

BTTS

Pick odds

Both teams to score

1.75
Why this pick?

Across its last 10 competitive matches, Angers scores 1.2 and concedes 2.0 goals per match. Across its last 10 competitive matches, Lorient scores 1.3 and concedes 1.0 goals per match. The estimated chance of a goal from both teams is 47%. One team failing to score is enough to lose this bet. Competition history and recent form inform this estimate. The match can unfold differently.

FT
AuxerrevsLe Mans

BTTS

Pick odds

Both teams to score

1.58
Why this pick?

Across its last 10 competitive matches, Auxerre scores 1.8 and concedes 1.9 goals per match. Across its last 7 competitive matches, Le Mans scores 1.4 and concedes 2.1 goals per match. The estimated chance of a goal from both teams is 58%. One team failing to score is enough to lose this bet. Competition history and recent form inform this estimate. The match can unfold differently.

No selection guarantees a win. Bets involve a risk of loss.

FT
MarseillevsLe Havre

BTTS

Pick odds

Both teams to score

1.64
Why this pick?

Across its last 10 competitive matches, Marseille scores 1.8 and concedes 1.4 goals per match. Across its last 10 competitive matches, Le Havre scores 0.8 and concedes 1.3 goals per match. The estimated chance of a goal from both teams is 54%. One team failing to score is enough to lose this bet. Competition history and recent form inform this estimate. The match can unfold differently.

FT
RennesvsStrasbourg

BTTS

Pick odds

Both teams to score

1.43
Why this pick?

Across its last 10 competitive matches, Rennes scores 2.0 and concedes 2.2 goals per match. Across its last 10 competitive matches, Strasbourg scores 2.0 and concedes 2.1 goals per match. The estimated chance of a goal from both teams is 68%. One team failing to score is enough to lose this bet. Competition history and recent form inform this estimate. The match can unfold differently.

FT
ToulousevsEstac Troyes

BTTS

Pick odds

Both teams to score

1.62
Why this pick?

Across its last 10 competitive matches, Toulouse scores 1.8 and concedes 1.5 goals per match. Across its last 7 competitive matches, Estac Troyes scores 0.7 and concedes 2.3 goals per match. The estimated chance of a goal from both teams is 56%. One team failing to score is enough to lose this bet. Competition history and recent form inform this estimate. The match can unfold differently.

No selection guarantees a win. Bets involve a risk of loss.

Reference odds supplied by 1xBet. The logo and link identify the bookmaker offered in your country; its odds may differ.

Ligue 1 predictions today and this weekend

The date tabs show fixtures currently available in our feed. Today opens when matches are available; otherwise the next available date opens. Kick-off times follow your time zone, not the league’s. Choose another date tab to check the following matchday. The feed is not a complete fixture calendar: a missing date does not mean no football is scheduled.

1X2, goals, both teams to score and corners

Compare 1X2 for a home win, draw or away win, goals totals, both teams to score Yes and match or team corners. Read the displayed line and team name: the prediction applies to that threshold and selection. Use filters to compare the same market family across fixtures. When required odds or data are missing, that market has no selection; we do not invent a pick to complete a card.

How are our Ligue 1 predictions prepared?

The Europe engine is trained on domestic league results and uses team attack and defence, home advantage and recent scoring form. It compares the resulting probabilities with available odds. Corners use a separate model whose evidence base can be small. Open a match explanation for the supporting facts and cautions. Estimates can be wrong and published prices can change. No selection guarantees a return.

Read the methodology

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