⚽MatchPredict Pro

Ligue 1 – Matchday 3

Sun, Nov 15, 2026 – 12:00Allianz RivieraNot started
Demo
Nice
4th • 21 Pts
VS
PSG
2nd • 27 Pts

Prediction Summary

33%
NIC Win
range 28%–38%
28%
Draw
range 27%–29%
39%
PSG Win
range 34%–44%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: NIC 1.25 · PSG 1.39

Other markets

Over 2.5 Goals
49%
Under 2.5 Goals
51%
BTTS – Yes
55%
BTTS – No
45%

Team Comparison

NicePSG
1482Elo rating1689
W-W-L-L-WForm (last 5)L-W-W-W-W
1.30Goals for / game1.70
1.10Goals against / game0.90
1.23xG for / game1.49
1.05xG against / game1.02
43%Home win rate—
—Away win rate67%
14Rest days14

Player Availability

Nice
  • A. CostaInjury
PSG
  • E. RossiInjury
  • K. SilvaDoubtful

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

Analysis & Key Insights

  • Team Strength: Nice Elo 1482 vs PSG 1689 (-206).
  • Recent Form: Nice (W-W-L-L-W) vs PSG (L-W-W-W-W), last 5.
  • Goals: Nice score 1.30 / concede 1.10 per game; PSG 1.70 / 0.90 (last 10).
  • Expected Goals: Nice average 1.23 xG, PSG 1.49 (residualised vs Elo before use).
  • Home Advantage: Nice have won 43% of home games in the sample; PSG 67% away.
  • Player Availability: Nice: 1 absent/doubtful; PSG: 2.
  • Schedule & Rest: Nice 14 days rest, PSG 14 days.
  • Head-to-Head: Average goal difference -1.80 for Nice over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Team Strength (Elo)
    50%
  • Home Advantage
    34%
  • Head-to-Head (H2H)
    8%
  • Expected Goals (xG)
    6%
  • Recent Form
    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 – 06:00
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.