Skip to content
Liga MX

Puebla vs Guadalajara— 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

    Guadalajara

    54% means we estimate about 54 chances out of 100. It is not a guarantee.

    Overall: Puebla 22% · Draw 24% · Guadalajara 54%

  2. 2 · Understand the price

    Puebla

    4.80 decimal odds

    Tipico de · US +380

    This is not a dollar amount. A 1-unit stake would return 4.80 units total if successful.

  3. 3 · Compare probability

    +0.8 percentage points

    Our estimate is 22%; the price implies 21%. 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.

Pueblamodel 24% · market 21% (model vs market +3.1pp)
Drawmodel 26% · market 23% (model vs market +3.2pp)
Guadalajaramodel 50% · market 56% (model vs market 6.4pp)

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
Puebla22% chanceestimate-equivalent decimal 4.614.80 decimal oddsTipico de · US +380price implies 21%+0.8 percentage pointsPotential value to investigate
Draw24% chanceestimate-equivalent decimal 4.184.15 decimal oddsBetus · US +315price implies 24%−0.2 percentage pointsThe price implies a higher chance than our estimate
Guadalajara54% chanceestimate-equivalent decimal 1.841.72 decimal oddsNordicbet · US −139price implies 58%−3.7 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: Puebla 10d, Guadalajara 6d since last match.
  • League scoring baseline: 2.7 goals/game.
  • Home advantage applied for Puebla.
  • 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 Puebla vs Guadalajara?

Clauseground's combined estimate — a Dixon-Coles-adjusted model combined with a no-vig designated reference market — makes Guadalajara the most likely outcome at 54%. That is a probability, not a promise: the other outcomes carry the remaining 46%.

How does Clauseground predict Puebla vs Guadalajara?

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 →