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EFL Championship

Stoke City vs Swansea City— market analysis & odds

Read this match in three steps

Probability is the common language. Venue prices are translated underneath so sportsbook and prediction-market users can compare the same idea.

  1. 1 · Most likely result

    Stoke City

    39% means we estimate about 39 chances out of 100. It is not a guarantee.

    Overall: Stoke City 39% · Draw 29% · Swansea City 32%

  2. 2 · Understand the price

    Draw

    3.35 decimal odds

    Codere it · US +235

    This is not a dollar amount. A 1-unit stake would return 3.35 units total if successful.

  3. 3 · Compare probability

    −0.4 percentage points

    Our estimate is 29%; the price implies 30%. A positive difference is a reason to investigate, not proof of profit.

    The price implies a higher chance than our estimate

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

Expert analysisFull detail remains available

Why the model and market differ

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.

Stoke Citymodel 37% · market 39% (model vs market 2.2pp)
Drawmodel 31% · market 29% (model vs market +1.5pp)
Swansea Citymodel 32% · market 32% (model vs market +0.7pp)

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.

How our estimate compares with available prices

Probability comes first so different price formats remain comparable. Sportsbook odds and prediction-market contracts keep their own labels.

OutcomeOur overall estimateMost favorable price collectedProbability difference
Stoke City39% chanceestimate-equivalent decimal 2.582.50 decimal oddsCoolbet · US +150price implies 40%−1.3 percentage pointsThe price implies a higher chance than our estimate
Draw29% chanceestimate-equivalent decimal 3.403.35 decimal oddsCodere it · US +235price implies 30%−0.4 percentage pointsThe price implies a higher chance than our estimate
Swansea City32% chanceestimate-equivalent decimal 3.143.06 decimal oddsBetsson · US +206price implies 33%−0.8 percentage pointsThe price implies a higher chance than our estimate

A sportsbook number such as 5.00 is decimal odds, not dollars. Kalshi prices are shown as cent-denominated contracts. “Most favorable collected” means the best usable price in our latest set for the customer, not every venue worldwide. Check the venue before acting; prices, fees, and availability can change.

Evidence and inputs

  • Monte Carlo simulation: 50,000 runs (engine v1.1-dc-poisson-mktshares).
  • Rest: Stoke City 7d, Swansea City 7d since last match.
  • League scoring baseline: 2.5 goals/game.
  • Home advantage applied for Stoke City.
  • Lineups unconfirmed at last model run.

Potential value to investigate

No current price clears the publication threshold.

The market may be close to the estimate, the available data may be incomplete, or the price may have moved. Passing is a valid result.

Open market-opportunity viewSee the current comparisons, sizing context, and rationale in the app.

Questions

Who is most likely to win Stoke City vs Swansea City?

Clauseground's combined estimate — a Dixon-Coles-adjusted model combined with a no-vig designated reference market — makes Stoke City the most likely outcome at 39%. That is a probability, not a promise: the other outcomes carry the remaining 61%.

How does Clauseground predict Stoke City vs Swansea 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 →