Latest Ligue 1 AI Predictions: Results, Under/Over, Corners & Shots

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Last updated: 2026-10-31

Game #1

Lyon

HOME
VS

Angers

AWAY

Match Result Probability

Lyon
69.1%
Draw
17.8%
Angers
13.1%

Over/Under 2.5 Goals

Over 2.5
63.7%
Under 2.5
36.3%

Goal/No Goal

Goal
53.4%
No Goal
46.6%

Predicted Result

Home Over 2.5 Goal

Game #2

Troyes

HOME
VS

Le Mans

AWAY

Match Result Probability

Troyes
50.4%
Draw
25.4%
Le Mans
24.2%

Over/Under 2.5 Goals

Over 2.5
48.8%
Under 2.5
51.2%

Goal/No Goal

Goal
49.8%
No Goal
50.2%

Predicted Result

Home Under 2.5 No Goal

Game #3

Paris FC

HOME
VS

Monaco

AWAY

Match Result Probability

Paris FC
46.5%
Draw
27.0%
Monaco
26.4%

Over/Under 2.5 Goals

Over 2.5
51.7%
Under 2.5
48.3%

Goal/No Goal

Goal
50.4%
No Goal
49.6%

Predicted Result

Home Over 2.5 Goal

Game #4

Strasbourg

HOME
VS

Auxerre

AWAY

Match Result Probability

Strasbourg
39.7%
Draw
28.9%
Auxerre
31.4%

Over/Under 2.5 Goals

Over 2.5
55.5%
Under 2.5
44.5%

Goal/No Goal

Goal
65.0%
No Goal
35.0%

Predicted Result

Home Over 2.5 Goal

Game #5

Lille

HOME
VS

Lens

AWAY

Match Result Probability

Lille
36.8%
Draw
28.1%
Lens
35.0%

Over/Under 2.5 Goals

Over 2.5
58.1%
Under 2.5
41.9%

Goal/No Goal

Goal
58.0%
No Goal
42.0%

Predicted Result

Home Over 2.5 Goal

Game #6

Nice

HOME
VS

Rennes

AWAY

Match Result Probability

Nice
36.7%
Draw
28.3%
Rennes
35.0%

Over/Under 2.5 Goals

Over 2.5
58.4%
Under 2.5
41.6%

Goal/No Goal

Goal
60.4%
No Goal
39.6%

Predicted Result

Home Over 2.5 Goal

Game #7

Marseille

HOME
VS

Toulouse

AWAY

Match Result Probability

Marseille
36.5%
Draw
28.1%
Toulouse
35.4%

Over/Under 2.5 Goals

Over 2.5
55.0%
Under 2.5
45.0%

Goal/No Goal

Goal
62.7%
No Goal
37.3%

Predicted Result

Home Over 2.5 Goal

Game #8

Lorient

HOME
VS

Brest

AWAY

Match Result Probability

Lorient
33.2%
Draw
26.9%
Brest
39.9%

Over/Under 2.5 Goals

Over 2.5
48.6%
Under 2.5
51.4%

Goal/No Goal

Goal
55.5%
No Goal
44.5%

Predicted Result

Away Under 2.5 Goal

Game #9

Le Havre

HOME
VS

Paris SG

AWAY

Match Result Probability

Le Havre
12.1%
Draw
14.0%
Paris SG
73.9%

Over/Under 2.5 Goals

Over 2.5
64.7%
Under 2.5
35.3%

Goal/No Goal

Goal
58.4%
No Goal
41.6%

Predicted Result

Away Over 2.5 Goal

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What's Inside Each Match Analysis

Click on any match card above to access our in-depth match analysis pages. Each page provides insights you won't find elsewhere:

AI-Generated Match Preview

Data-driven match analysis with prediction summary, team form assessment, and key tactical insights.

Under/Over 2.5 Goals Analysis

Detailed probability breakdown for goals predictions based on team scoring patterns and defensive records.

Shots Predictions

Expected shots derived from neural network probability distributions, not simple averages.

Corners Predictions

Neural network-based corner kick predictions with probability context for more informed analysis.

Goal Spread Predictions

Expected goal difference (home - away) with full probability distributions for handicap analysis.

AI-Powered Ligue 1 Predictions

Ligue 1 is France's premier football competition, showcasing both established clubs and emerging talent. Our AI models analyze last 10 seasons of Ligue 1 data, processing approximately 700 features including Expected Goals (xG), shots, corners, and team form metrics to generate predictions with full probability context.

Our proprietary neural network models are trained on 10 seasons of Ligue 1 data and leverage approximately 700 features including latest teams performance, Games metrics , Expected Goals, Corners, Shots.

Match Winner
Under/Over 2.5
Shots
Goal No Goal
Corners
Goal Spread

What sets us apart: Unlike competitors who provide simple averages for shots and corners, our neural network models generate expected values derived from probability distributions. This means our predictions capture the full range of likely outcomes, providing deeper analytical insight than basic statistical averages.

Our models incorporate recent team form, home/away performance differentials, Expected Goals (xG), and match-level metrics such as shots made and conceded, corners, fouls, and possession patterns to deliver comprehensive match predictions.

Historical Ligue 1 KPIs

Explore how key Ligue 1 metrics have evolved over the last 10 seasons. These trends inform our AI models and provide context for current predictions.

44%
Home Wins %
31%
Away Wins %
25%
Draws %
51%
Over 2.5 Goals %
52%
Both Teams Score %
2.7
Avg Goals per Match
24.3
Avg Shots per Match
9.5
Avg Corners per Match

Match Results Trend

Ligue 1 match results trend chart showing home wins, away wins, and draws percentages across seasons

Goals & Over 2.5 Trend

Ligue 1 goals trend chart showing average goals scored and over 2.5 percentage across seasons

Match Metrics Trend

Ligue 1 match metrics chart showing average shots and corners per match across seasons

2026-2027 Ligue 1 Teams

Angers
Auxerre
Brest
Le Havre
Lens
Lille
Lorient
Lyon
Marseille
Metz
Monaco
Nantes
Nice
Paris FC
Paris SG
Rennes
Strasbourg
Toulouse

Ligue 1 Power Rankings

Two rating models, one table. ELO measures accumulated season strength. Glicko-2 adds a confidence layer, flagging teams whose form is inconsistent. The Rank Δ column shows where both systems disagree most. Updated after every matchday.

Cross-League Prediction Hub

Compare predictions across all twelve leagues in one view. Sort matches by over/under 2.5 probability, goal spread, corners, or draw likelihood.

Prediction Transparency

We believe in full transparency. All our historical predictions and their outcomes are publicly available. Track our prediction accuracy and model performance over time:

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Download Ligue 1 Probability Data

Every match analysis includes downloadable probability distributions in JSON and CSV format. Access full PDFs, CDFs, and match prediction data for your own analysis.

Open any match analysis above and download structured data with a free account.

Learn How to Use Our Data

Frequently Asked Questions

We are the only sports analytics platform providing neural network-based probability predictions for Ligue 1 matches that go beyond simple averages. Our models generate expected values from deep learning with full probability context for shots and corners predictions, giving you deeper insight into the range of likely outcomes.

Our neural networks process approximately 700 features including Expected Goals (xG), shots made and conceded, corners data, recent team form, and historical match data spanning 10 Ligue 1 seasons.

We provide predictions for match winner (home, draw, away with probabilities), under/over 2.5 goals, corners predictions, shots predictions, and goal/no goal predictions. Each prediction type uses a dedicated neural network model.

We believe in full transparency. All our historical predictions and outcomes are publicly available on our performance tracking page, where you can verify our accuracy across different prediction types and seasons.

A probability distribution shows the likelihood of each possible outcome, not just a single prediction. For example, for corners predictions, instead of just saying 'expected 10 corners,' our models provide the expected value derived from neural network probability distributions, giving you deeper insight than simple averages. Learn more about probability distributions.

We provide two types of charts in each match analysis. The probability distribution chart shows you the likelihood of each possible outcome—the peak indicates the most likely result, and the spread shows how certain the prediction is. The CDF (Cumulative Distribution Function) chart is perfect for understanding over/under scenarios—it shows the probability of outcomes being less than or equal to any value. Read our complete guide to understanding probability charts.

Our predictions are generated on average 2-3 days before each matchday. We process the latest match results, team form data, and performance metrics to ensure predictions reflect the most current information available.

Ligue 1 is known for producing world-class talent and features a mix of competitive teams. The league has seen increasing parity in recent seasons, with away win percentages rising. Our models account for these evolving league dynamics through features that capture both historical trends and current form.