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    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    World Cup Odds Architect

    1

    Structural probability forecasting for the 2026 FIFA World Cup title chances.

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    See it in action

    You say

    Evaluate the title chances for France, Argentina, and England based on their current squad depth and the 2026 tournament format.

    Your agent does

    # TEAM CHANCE TABLE

    | Team | Estimated Chance | Tier | Upward Logic | Downward Logic | | :--- | :--- | :--- | :--- | :--- | | France | 14% | Clear Favorite | Elite depth for 7-game path | History of internal volatility | | Argentina | 11% | Leading Contender | Tournament experience | Aging core in expanded format | | England | 9% | Real Contender | High floor/survivability | Historical knockout fragility |

    What you get

    Generate publishable title-probability tables for sports media outlets.Assess how the 48-team expansion impacts favorite survival rates.Identify discrepancies between public hype and structural winning probability.Analyze specific team failure conditions across a long knockout path.

    About this skill

    The problem

    Standard football predictions often confuse team popularity with winning probability. Most models ignore the increased volatility and path length of the expanded 48-team 2026 format.

    What it does

    • Calculates title-winning probabilities based on the 104-match, 48-team tournament structure.
    • Differentiates between group-stage security and the resilience required for a seven-match knockout path.
    • Generates structured team chance tables with logic for why odds aren't higher or lower.
    • Identifies path sensitivity and how the new round of 32 affects specific contender profiles.
    • Analyzes win and failure conditions based on squad depth, tactical coherence, and upset exposure.

    Why this beats prompting it yourself

    General LLMs tend to reward famous names with high percentages regardless of tournament context. This skill forces a disciplined architectural approach that accounts for the specific mechanical changes of the 2026 World Cup. It prevents "vibes-based" forecasting by requiring comparative probability and structural reasoning.

    Use cases

    • Building a data-backed preview for sports media or betting publications.
    • Analyzing how a specific group draw affects a nation's path to the trophy.
    • Identifying dark horse contenders that benefit from the expanded knockout bracket.
    • Stress-testing favorite picks against potential round of 32 volatility.

    Known limitations

    Requires a defined team set or tournament stage to function. Accuracy is limited by the quality of input data regarding current squad health and tactical setups.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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