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VfB Stuttgart vs Viking FK — market analysis & odds

Final score: 3–1

Final score: VfB Stuttgart 3–1 Viking FK. Pre-match, Clauseground's combined estimate was VfB Stuttgart 54%, the draw 24%, Viking FK 22%. VfB Stuttgart won — an outcome we carried at 54%. 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.

VfB Stuttgartmodel 54% · market —
Drawmodel 24% · market —
Viking FKmodel 22% · 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: VfB Stuttgart 5d, Viking FK 7d since last match.
  • League scoring baseline: 2.9 goals/game.
  • Home advantage applied for VfB Stuttgart.
  • Lineups unconfirmed at last model run.

Questions

Who won VfB Stuttgart vs Viking FK?

VfB Stuttgart won: the final score was VfB Stuttgart 3–1 Viking FK. Clauseground's pre-match blend carried that outcome at 54%. That probability described uncertainty; it did not promise the result.

How does Clauseground predict VfB Stuttgart vs Viking FK?

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 →