⚽MatchPredict Pro

Ligue 1 – Matchday 3

Sun, Nov 15, 2026 – 16:00Pierre-MauroyNot started
Demo
Lille
6th • 14 Pts
VS
Rennes
8th • 12 Pts

Prediction Summary

48%
LIL Win
range 43%–54%
27%
Draw
range 25%–28%
25%
REN Win
range 21%–29%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: LIL 1.61 · REN 1.09

Other markets

Over 2.5 Goals
50%
Under 2.5 Goals
50%
BTTS – Yes
54%
BTTS – No
46%

Team Comparison

LilleRennes
1453Elo rating1326
L-L-L-D-WForm (last 5)W-L-L-L-L
1.30Goals for / game0.70
1.50Goals against / game1.80
1.25xG for / game0.89
1.53xG against / game1.47
33%Home win rate—
—Away win rate10%
14Rest days14

Player Availability

Lille
  • A. SmithInjury
Rennes
  • U. KaneDoubtful

Confirmed lineups are published ~1 hour before kickoff and are not yet available.

Analysis & Key Insights

  • Team Strength: Lille Elo 1453 vs Rennes 1326 (+127).
  • Recent Form: Lille (L-L-L-D-W) vs Rennes (W-L-L-L-L), last 5.
  • Goals: Lille score 1.30 / concede 1.50 per game; Rennes 0.70 / 1.80 (last 10).
  • Expected Goals: Lille average 1.25 xG, Rennes 0.89 (residualised vs Elo before use).
  • Home Advantage: Lille have won 33% of home games in the sample; Rennes 10% away.
  • Player Availability: Lille: 1 absent/doubtful; Rennes: 1.
  • Schedule & Rest: Lille 14 days rest, Rennes 14 days.
  • Head-to-Head: Average goal difference -0.20 for Lille over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Home Advantage
    48%
  • Team Strength (Elo)
    43%
  • Expected Goals (xG)
    3%
  • Recent Form
    3%
  • Head-to-Head (H2H)
    1%
  • Player Availability
    1%
  • Schedule & Rest
    0%

Share of the total adjustment to expected goals contributed by each factor in this match.

Model Information

Model:
Elo + Poisson + Dixon-Coles (elo-poisson-dc-v1)
Prediction made:
Nov 15, 2026 – 10:00
Data completeness:
100%
History used:
84 prior matches (both teams)
Data source:
Synthetic demo data

Data completeness = half history depth (40+ prior matches = full) + half optional inputs present (xG, availability, rest, H2H). It is not a win probability.

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Probabilities are estimates, never certainties. The long-term research target is 90%+ accuracy on narrowly defined markets — this is a goal, not a verified result. Figures shown are measured on simulated DEMO matches until real data is connected.