Skip to content

Cardiff City vs Stoke City — market analysis & odds

Final score: 1–1

Final score: Cardiff City 1–1 Stoke City. Pre-match, Clauseground's combined estimate was Cardiff City 40%, the draw 30%, Stoke City 30%. It ended level — an outcome we carried at 30%. The combined estimate leaned Cardiff City at 40%; the most likely single result did not occur.

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.

Cardiff Citymodel 40% · market —
Drawmodel 30% · market —
Stoke Citymodel 30% · 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: Cardiff City 3d, Stoke City 3d since last match.
  • League scoring baseline: 2.5 goals/game.
  • Home advantage applied for Cardiff City.
  • Lineups unconfirmed at last model run.

Questions

Who won Cardiff City vs Stoke City?

Cardiff City vs Stoke City ended in a draw: the final score was Cardiff City 1–1 Stoke City. Clauseground's pre-match blend carried that outcome at 30%. That probability described uncertainty; it did not promise the result.

How does Clauseground predict Cardiff City vs Stoke City?

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 →