AI Football Tips: Ligue 1 round 7

The flair, tactical intrigue, and explosive pace of French football take center stage once again as Ligue 1 gears up for a captivating Matchday 7 across the weekend of October 16–18. As the 2026/27 campaign settles into its autumn rhythm, the pressure at both ends of the table is beginning to mount. Perennial heavyweights are desperate to string together victories and establish dominance at the summit, while ambitious European hopefuls and resilient underdogs are eager to prove their championship credentials.

Sunday’s action culminates in a sensational prime-time blockbuster at the Groupama Stadium, where Olympique Lyonnais goes head-to-head with OGC Nice in a heavyweight duel with massive European implications. Saturday’s schedule is equally electric, featuring reigning powerhouses Paris Saint-Germain facing a notoriously tricky road test against RC Strasbourg Alsace, while LOSC Lille welcomes Stade Brestois 29. Sunday also features title hopefuls Olympique de Marseille traveling to battle Angers SCO, alongside AS Monaco making the trip west to face FC Lorient. Explore our advanced AI-driven match predictions, detailed team statistics, and data analytics for every hard-fought encounter in this thrilling Ligue 1 round.

Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for Ligue 1 round 7. Asian refers to the recomended asian handicap line.

Date League Home Team Away Team Prediction Asian
2026-10-16 Ligue 1 Le Mans Toulouse H 0
2026-10-17 Ligue 1 Strasbourg PSG A No bet
2026-10-17 Ligue 1 Lille Brest A +0.5
2026-10-17 Ligue 1 Troyes Lens H +0.5
2026-10-18 Ligue 1 Angers SCO Olympique Marseille H +0.25
2026-10-18 Ligue 1 Lorient Monaco H +0.5
2026-10-18 Ligue 1 Le Havre Auxerre H -0.25
2026-10-18 Ligue 1 Paris Rennes H -0.25
2026-10-18 Ligue 1 Olympique Lyonnais Nice H 1X2

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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.

Date Home Team Away Team BTS Home (%) BTS Away (%) BTS Target BTS No Target
2026-10-16 Le Mans Toulouse 100 100 2.30 1.77
2026-10-17 Strasbourg PSG 100 75 1.27 4.76
2026-10-17 Lille Brest 33 100 1.14 8.28
2026-10-17 Troyes Lens 33 100 1.70 2.42
2026-10-18 Angers SCO Olympique Marseille 33 0 1.28 4.57
2026-10-18 Lorient Monaco 67 67 1.34 3.90
2026-10-18 Le Havre Auxerre 33 100 1.21 5.69
2026-10-18 Paris Rennes 33 50 1.13 8.90
2026-10-18 Olympique Lyonnais Nice 67 0 1.25 4.97

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.

Date League Home Team Away Team +2.5 target odds -2.5 target odds
2026-10-16 Ligue 1 Le Mans Toulouse 1.81 2.23
2026-10-17 Ligue 1 Strasbourg PSG 1.37 3.67
2026-10-17 Ligue 1 Lille Brest 1.24 5.09
2026-10-17 Ligue 1 Troyes Lens 2.42 1.70
2026-10-18 Ligue 1 Angers SCO Olympique Marseille 1.62 2.61
2026-10-18 Ligue 1 Lorient Monaco 1.49 3.04
2026-10-18 Ligue 1 Le Havre Auxerre 1.20 5.95
2026-10-18 Ligue 1 Paris Rennes 1.16 7.29
2026-10-18 Ligue 1 Olympique Lyonnais Nice 1.35 3.85

First Half Goals

The table below shows estimated first-half goal probabilities using Poisson distribution. HT Avg is the expected number of goals before half-time. O/U 0.5 FH and O/U 1.5 FH are the corresponding over/under odds for the first half.

Home Team Away Team HT Avg O 0.5 FH U 0.5 FH O 1.5 FH U 1.5 FH
Le Mans Toulouse 2.04 1.15 7.72 1.65 2.54
Strasbourg PSG 0.87 1.72 2.38 4.63 1.28
Lille Brest 1.10 1.50 3.02 3.30 1.43
Troyes Lens 1.15 1.46 3.16 3.13 1.47
Angers SCO Olympique Marseille 1.00 1.58 2.71 3.79 1.36
Lorient Monaco 0.92 1.66 2.52 4.24 1.31
Le Havre Auxerre 1.33 1.36 3.78 2.61 1.62
Paris Rennes 1.27 1.39 3.56 2.76 1.57
Olympique Lyonnais Nice 1.15 1.47 3.14 3.15 1.47

Early Goals (First 15 Minutes)

The table below shows the probability of a goal being scored in the first 15 minutes. EG Home/Away (%) is the historical frequency across all matches for each team. Poisson ≥1 (%) is the model-estimated probability of at least one early goal in this fixture.

Home Team Away Team EG Home (%) EG Away (%) Poisson ≥1 (%)
Le Mans Toulouse 50.0 16.7 21.1
Strasbourg PSG 16.7 33.3 14.6
Lille Brest 33.3 66.7 46.8
Troyes Lens 16.7 16.7 7.6
Angers SCO Olympique Marseille 66.7 33.3 46.8
Lorient Monaco 16.7 33.3 14.6
Le Havre Auxerre 50.0 50.0 50.9
Paris Rennes 16.7 83.3 32.6
Olympique Lyonnais Nice 16.7 16.7 7.6

Corners Over/Under 9.5

The table below shows the predicted corner totals for each fixture using strength-of-schedule adjusted ratings. Corner Avg is the expected total corners. +9.5 and -9.5 odds are the model-estimated decimal odds for over and under 9.5 total corners.

Home Team Away Team Corner Avg +9.5 odds -9.5 odds
Le Mans Toulouse 8.63 2.73 1.58
Strasbourg PSG 8.88 2.52 1.66
Lille Brest 8.82 2.56 1.64
Troyes Lens 9.65 2.03 1.97
Angers SCO Olympique Marseille 10.87 1.58 2.71
Lorient Monaco 9.09 2.36 1.73
Le Havre Auxerre 11.85 1.38 3.65
Paris Rennes 8.90 2.50 1.67
Olympique Lyonnais Nice 9.88 1.93 2.08

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

Team Home Goals Home Conceded Away Goals Away Conceded
Brest 2.33 1.33 1.67 1.67
Rennes 2.50 1.25 1.00 2.50
Strasbourg 1.50 1.00 2.00 2.50
Lens 2.33 1.33 1.33 2.00
Olympique Lyonnais 2.67 0.67 1.00 0.67
PSG 2.00 1.50 1.75 1.25
Le Mans 2.00 1.67 1.33 2.33
Monaco 2.00 1.00 1.33 0.67
Toulouse 1.00 1.67 2.00 2.00
Lille 1.67 0.67 1.33 0.67
Olympique Marseille 2.33 1.67 0.67 1.00
Auxerre 1.33 1.33 1.33 4.00
Paris 1.67 0.33 1.00 1.00
Angers SCO 1.00 1.33 1.33 2.00
Lorient 1.33 1.33 0.67 0.67
Nice 1.25 0.75 0.00 2.00
Le Havre 0.33 1.00 1.00 1.67
Troyes 0.67 2.67 0.67 1.67

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.

Date League Home Team Away Team Home Score Away Score Score Prob (%)
2026-10-16 Ligue 1 Le Mans Toulouse 1 0 26.2
2026-10-17 Ligue 1 Strasbourg PSG 1 1 13.2
2026-10-17 Ligue 1 Lille Brest 1 1 10.8
2026-10-17 Ligue 1 Troyes Lens 1 0 22.3
2026-10-18 Ligue 1 Angers SCO Olympique Marseille 1 1 11.1
2026-10-18 Ligue 1 Lorient Monaco 1 1 11.6
2026-10-18 Ligue 1 Le Havre Auxerre 2 2 7.5
2026-10-18 Ligue 1 Paris Rennes 1 2 8.3
2026-10-18 Ligue 1 Olympique Lyonnais Nice 1 2 8.4


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