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Major League Soccer

D.C. United vs Toronto FC— 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

    D.C. United

    45% means we estimate about 45 chances out of 100. It is not a guarantee.

    Overall: D.C. United 45% · Draw 26% · Toronto FC 29%

  2. 2 · Understand the price

    Toronto FC

    3.68 decimal odds

    Gtbets · US +268

    This is not a dollar amount. A 1-unit stake would return 3.68 units total if successful.

  3. 3 · Compare probability

    +1.9 percentage points

    Our estimate is 29%; the price implies 27%. A positive difference is a reason to investigate, not proof of profit.

    Potential value to investigate

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.

D.C. Unitedmodel 43% · market 46% (model vs market 3.3pp)
Drawmodel 26% · market 26% (model vs market 0.0pp)
Toronto FCmodel 32% · market 28% (model vs market +3.4pp)

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
D.C. United45% chanceestimate-equivalent decimal 2.222.10 decimal oddsLeovegas se · US +110price implies 48%−2.5 percentage pointsThe price implies a higher chance than our estimate
Draw26% chanceestimate-equivalent decimal 3.863.67 decimal oddsPinnacle · US +267price implies 27%−1.4 percentage pointsThe price implies a higher chance than our estimate
Toronto FC29% chanceestimate-equivalent decimal 3.443.68 decimal oddsGtbets · US +268price implies 27%+1.9 percentage pointsPotential value to investigate

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: D.C. United 3d, Toronto FC 3d since last match.
  • League scoring baseline: 3 goals/game.
  • Home advantage applied for D.C. United.
  • 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 D.C. United vs Toronto FC?

Clauseground's combined estimate — a Dixon-Coles-adjusted model combined with a no-vig designated reference market — makes D.C. United the most likely outcome at 45%. That is a probability, not a promise: the other outcomes carry the remaining 55%.

How does Clauseground predict D.C. United vs Toronto FC?

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 →