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Major League Soccer

New York City FC 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

    New York City FC

    56% means we estimate about 56 chances out of 100. It is not a guarantee.

    Overall: New York City FC 56% · Draw 23% · Toronto FC 20%

  2. 2 · Understand the price

    Toronto FC

    5.00 decimal odds

    LowVig · US +400

    This is not a dollar amount. A 1-unit stake would return 5.00 units total if successful.

  3. 3 · Compare probability

    +0.3 percentage points

    Our estimate is 20%; the price implies 20%. 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.

New York City FCmodel 52% · market 58% (model vs market 5.9pp)
Drawmodel 23% · market 23% (model vs market +0.1pp)
Toronto FCmodel 25% · market 19% (model vs market +5.8pp)

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
New York City FC56% chanceestimate-equivalent decimal 1.781.77 decimal oddsGtbets · US −130price implies 56%−0.2 percentage pointsThe price implies a higher chance than our estimate
Draw23% chanceestimate-equivalent decimal 4.284.00 decimal oddsBetfred uk · US +300price implies 25%−1.6 percentage pointsThe price implies a higher chance than our estimate
Toronto FC20% chanceestimate-equivalent decimal 4.935.00 decimal oddsLowVig · US +400price implies 20%+0.3 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: New York City FC 6d, Toronto FC 6d since last match.
  • League scoring baseline: 3 goals/game.
  • Home advantage applied for New York City FC.
  • 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 New York City FC vs Toronto FC?

Clauseground's combined estimate — a Dixon-Coles-adjusted model combined with a no-vig designated reference market — makes New York City FC the most likely outcome at 56%. That is a probability, not a promise: the other outcomes carry the remaining 44%.

How does Clauseground predict New York City FC 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 →