MCP For Claude Marketplace
Win-Draw-Loss Probability Engine

Win-Draw-Loss Probability Engine MCP Connector for Claude

A+

Aggregates football scoreline matrices into match outcome probabilities and fair decimal odds.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides mathematical tools to transform granular football scoreline matrices into primary match outcomes. Use aggregate_outcomes to convert specific scoreline probabilities into Home Win, Draw, and Away Win totals. You can use validate_matrix_completeness to ensure a scoreline distribution is mathematically complete, or calculate_fair_odds to derive decimal odds from known probabilities. Finally, get_outcome_summary provides a text-based overview of match likelihoods.

footballprobabilitybettingstatisticssports-analytics

4 tools expose this connector's capabilities to your AI agent.

aggregate_outcomes

Each object must have homeGoals, awayGoals, and probability. Transforms a matrix of specific scorelines into primary match outcome probabilities

calculate_fair_odds

Determines the mathematically fair decimal odds for each primary match outcome

get_outcome_summary

Provides a high-level text-based summary of match likelihoods and potential value

validate_matrix_completeness

Verifies if a provided scoreline matrix represents a complete probability distribution

See how to talk to your AI agent using Win-Draw-Loss Probability Engine.

Aggregate these scorelines: [{"homeGoals": 1, "awayGoals": 0, "probability": 0.4}, {"homeGoals": 0, "awayGoals": 0, "probability": 0.6}]

Home Win: 0.4, Draw: 0.6, Away Win: 0.0. The total probability is conserved.

Calculate fair odds for a home win probability of 0.5, draw of 0.2, and away win of 0.3.

The fair decimal odds are: Home Win: 2.0, Draw: 5.0, Away Win: 3.33.

Is this matrix complete: [{"homeGoals": 1, "awayGoals": 0, "probability": 0.5}]?

No, the matrix is incomplete. The missing probability is 0.5.

You can use the `aggregate_outcomes` tool by providing a JSON array of scoreline objects containing home goals, away goals, and their respective probabilities.

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