AI Football Tips: Ligue 1 round 6

The flair and fierce competition of French football are ready to light up the weekend as Ligue 1 enters an exciting Matchday 6 over October 10–11. With the 2026/27 campaign finding its autumn rhythm, the early hierarchy of the table is slowly taking shape. The league’s traditional giants are eager to string together vital wins to assert their championship credentials, while newly promoted sides and ambitious underdogs are determined to prove they belong in France’s illustrious top flight.

Saturday’s action-packed schedule is headlined by a prime-time clash at the Parc des Princes, where heavyweights Paris Saint-Germain welcome newly promoted Le Mans FC in a highly anticipated encounter. The Saturday slate also features Monaco defending their home turf against a dangerous Toulouse side, alongside an intriguing battle between Lille and Le Havre. The drama carries over into Sunday, peaking with a blockbuster late kickoff as Marseille travels to face Troyes, while Nice squares off against Strasbourg on the Riviera. Explore our advanced AI-driven match predictions, detailed team statistics, and data analytics for every unpredictable encounter across this gripping Ligue 1 round.

Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for Ligue 1 round 6. Asian refers to the recomended asian handicap line.

Date League Home Team Away Team Prediction Asian
2026-10-09 Ligue 1 Lens Olympique Lyonnais H -0.25
2026-10-10 Ligue 1 Lille Le Havre H No bet
2026-10-10 Ligue 1 Monaco Toulouse H 1X2
2026-10-10 Ligue 1 Brest Angers SCO H 1X2
2026-10-10 Ligue 1 PSG Le Mans H No bet
2026-10-10 Ligue 1 Lorient Paris A -0.25
2026-10-11 Ligue 1 Nice Strasbourg H -0.25
2026-10-11 Ligue 1 Rennes Auxerre H No bet
2026-10-11 Ligue 1 Troyes Olympique Marseille H +0.5

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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
2026-10-09 Lens Olympique Lyonnais 50 0 1.30 4.36
2026-10-10 Lille Le Havre 50 100 1.54 2.84
2026-10-10 Monaco Toulouse 50 100 1.34 3.92
2026-10-10 Brest Angers SCO 50 50 1.27 4.74
2026-10-10 PSG Le Mans 100 100 1.82 2.22
2026-10-10 Lorient Paris 100 50 2.75 1.57
2026-10-11 Nice Strasbourg 67 67 1.19 6.13
2026-10-11 Rennes Auxerre 67 100 1.87 2.15
2026-10-11 Troyes Olympique Marseille 50 0 1.21 5.73

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
2026-10-09 Ligue 1 Lens Olympique Lyonnais 1.64 2.55
2026-10-10 Ligue 1 Lille Le Havre 1.52 2.91
2026-10-10 Ligue 1 Monaco Toulouse 1.38 3.60
2026-10-10 Ligue 1 Brest Angers SCO 1.56 2.78
2026-10-10 Ligue 1 PSG Le Mans 2.00 2.00
2026-10-10 Ligue 1 Lorient Paris 1.96 2.04
2026-10-11 Ligue 1 Nice Strasbourg 1.21 5.71
2026-10-11 Ligue 1 Rennes Auxerre 1.56 2.79
2026-10-11 Ligue 1 Troyes Olympique Marseille 1.63 2.58

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
Lens Olympique Lyonnais 0.64 2.12 1.90 7.40 1.16
Lille Le Havre 0.77 1.86 2.16 5.52 1.22
Monaco Toulouse 1.54 1.27 4.69 2.19 1.84
Brest Angers SCO 1.37 1.34 3.92 2.52 1.66
PSG Le Mans 1.76 1.21 5.79 1.91 2.10
Lorient Paris 1.76 1.21 5.81 1.90 2.11
Nice Strasbourg 1.18 1.45 3.25 3.04 1.49
Rennes Auxerre 1.71 1.22 5.55 1.96 2.05
Troyes Olympique Marseille 1.06 1.53 2.88 3.50 1.40

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 (%)
Lens Olympique Lyonnais 20.0 20.0 10.6
Lille Le Havre 20.0 40.0 20.1
Monaco Toulouse 40.0 20.0 20.1
Brest Angers SCO 60.0 60.0 63.7
PSG Le Mans 40.0 60.0 49.1
Lorient Paris 20.0 20.0 10.6
Nice Strasbourg 20.0 20.0 10.6
Rennes Auxerre 80.0 40.0 59.3
Troyes Olympique Marseille 20.0 40.0 20.1

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
Lens Olympique Lyonnais 9.54 2.09 1.92
Lille Le Havre 9.11 2.35 1.74
Monaco Toulouse 9.57 2.07 1.93
Brest Angers SCO 9.86 1.93 2.07
PSG Le Mans 9.51 2.11 1.90
Lorient Paris 8.56 2.79 1.56
Nice Strasbourg 8.32 3.03 1.49
Rennes Auxerre 11.12 1.52 2.92
Troyes Olympique Marseille 9.69 2.02 1.99

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
Strasbourg 1.50 1.00 2.33 2.67
Olympique Lyonnais 2.67 0.67 1.00 0.00
Le Mans 2.00 1.67 1.50 2.00
Lens 2.50 1.50 1.33 2.00
Lille 2.00 1.00 1.33 0.67
Monaco 2.00 0.50 1.33 0.67
PSG 1.00 2.00 1.75 1.25
Paris 1.67 0.33 1.50 1.00
Rennes 2.00 1.33 1.00 2.50
Brest 1.00 1.50 1.67 1.67
Toulouse 1.00 1.67 2.00 2.00
Auxerre 1.33 1.33 1.50 4.00
Olympique Marseille 2.33 1.67 0.00 1.50
Angers SCO 1.00 1.33 1.50 0.50
Lorient 1.50 2.00 0.67 0.67
Troyes 1.00 3.00 0.67 1.67
Le Havre 0.33 1.00 1.50 2.00
Nice 1.00 0.67 0.00 2.00

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 (%)
2026-10-09 Ligue 1 Lens Olympique Lyonnais 0 0 16.5
2026-10-10 Ligue 1 Lille Le Havre 1 1 9.5
2026-10-10 Ligue 1 Monaco Toulouse 1 1 9.9
2026-10-10 Ligue 1 Brest Angers SCO 1 1 14.8
2026-10-10 Ligue 1 PSG Le Mans 1 1 12.8
2026-10-10 Ligue 1 Lorient Paris 2 0 18.3
2026-10-11 Ligue 1 Nice Strasbourg 1 1 9.5
2026-10-11 Ligue 1 Rennes Auxerre 1 1 13.2
2026-10-11 Ligue 1 Troyes Olympique Marseille 1 1 10.2


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