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Marseille vs Paris Saint Germain — market analysis & odds

Final score: 1–2

Final score: Marseille 1–2 Paris Saint Germain. Pre-match, Clauseground's combined estimate was Marseille 16%, the draw 20%, Paris Saint Germain 64%. Paris Saint Germain won — an outcome we carried at 64%. That was the combined estimate's most likely single result.

Updated · overall, market, and model views are labeled separately

Expert analysisFull detail remains available

Pre-match model vs market

Market and model are independent views, not competing answers. Their difference is shown in percentage points (pp) and is a prompt to investigate assumptions or missing information.

Marseillemodel 24% · market —
Drawmodel 25% · market —
Paris Saint Germainmodel 51% · market —

Market = probability from the designated reference market after bookmaker margin is removed. Model = independent Dixon-Coles-adjusted simulation. The Quick read uses the separately labeled overall estimate, which combines these inputs.

Evidence and inputs

  • Monte Carlo simulation: 50,000 runs (engine v1.1-dc-poisson-mktshares).
  • Rest: Marseille 9d, Paris Saint Germain 7d since last match.
  • League scoring baseline: 2.7 goals/game.
  • Home advantage applied for Marseille.
  • Lineups unconfirmed at last model run.

Questions

Who won Marseille vs Paris Saint Germain?

Paris Saint Germain won: the final score was Marseille 1–2 Paris Saint Germain. Clauseground's pre-match blend carried that outcome at 64%. That probability described uncertainty; it did not promise the result.

How does Clauseground predict Marseille vs Paris Saint Germain?

Clauseground uses an independent Poisson model with a Dixon-Coles low-score correction and removes the margin from a complete designated reference market. It shows the model and market views separately, then may calculate a market-specific combined estimate. Each probability retains its source label and timestamp.

Decision support, not betting advice. No guaranteed outcomes. 18+/21+ where applicable. Gamble responsibly.

Probabilities are labeled by source — market, model, or combined. How the model works →