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dxboy266/fifa-winner-skill

Analysis updated 2026-05-18

37HTMLAudience · generalComplexity · 3/5Setup · moderate

TLDR

This Python tool predicts World Cup 2026 outcomes for entertainment by blending football statistics, live betting odds, and a Chinese astrology layer into a Tri-Track Collision score.

Mindmap

mindmap
  root((FIFAWinnerSkill))
    What it does
      Tri-Track prediction
      Stats plus betting odds
      Astrology entertainment layer
    Tech stack
      Python
      GitHub Actions
      GitHub Pages
    Features
      ReAct agent loop
      Self reflection module
      Social share prompts
    Audience
      Football fans
      Entertainment seekers

Code map

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What do people build with it?

USE CASE 1

Generate entertainment-only World Cup match predictions blending statistics, betting odds, and astrology.

USE CASE 2

View the static prediction dashboard published to GitHub Pages.

USE CASE 3

Generate share-ready social media text and Midjourney or DALL-E image prompts for a match prediction.

What is it built with?

PythonGitHub ActionsGitHub Pages

How does it compare?

dxboy266/fifa-winner-skill0xsha/cve-2026-6307aaaa-zhen/siri-glsl
Stars373836
LanguageHTMLHTMLHTML
Setup difficultymoderatehardeasy
Complexity3/55/52/5
Audiencegeneraldeveloperdesigner

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 1h+

Needs a live betting odds data source and GitHub Actions and Pages configured for the dashboard.

No license is stated in the README.

In plain English

This is a Python-based World Cup 2026 prediction tool that blends sports statistics with Chinese astrology for entertainment purposes. The author named the main script after Paul the Octopus, the famous prediction mascot from the 2010 World Cup. The core prediction logic uses what the README calls a Tri-Track Collision model. Three separate signals are calculated independently and combined. The first track uses hard statistics: FIFA rankings, squad depth, historical head-to-head records, and physical fitness data, weighted at 60% of the final score. The second track pulls live betting market odds, converts them into implied win probabilities, and compares them to the statistical score. When both tracks agree, the prediction is labeled resonant (higher confidence), when they contradict each other, a divergence warning flags possible upsets. The third track is an astrological timing layer based on classical Chinese divination texts, where star positions at kickoff time map to momentum bonuses or penalties. The README is clear this track is purely for entertainment storytelling and carries 40% of the final blend. On top of the prediction engine, the tool includes a ReAct agent loop that can break multi-step analysis tasks into sequential steps automatically, and a self-reflection module that reviews past predictions after matches and adjusts the model's internal weights. The outputs include a static dashboard deployed to GitHub Pages via GitHub Actions, and a social media feature that generates share-ready text and image prompts formatted for Midjourney or DALL-E. The project explicitly states it is for entertainment only and must not be used for betting or financial decisions. That disclaimer appears multiple times in the README.

Copy-paste prompts

Prompt 1
Explain how this tool's Tri-Track Collision model combines statistics, betting odds, and astrology into one score.
Prompt 2
What does a resonant prediction versus a divergence warning mean in this FIFA prediction tool?
Prompt 3
Show me how the self-reflection module adjusts this tool's weights after a match result comes in.
Prompt 4
Generate a Midjourney-style image prompt using this tool's social media output format for a match prediction.

Frequently asked questions

What is fifa-winner-skill?

This Python tool predicts World Cup 2026 outcomes for entertainment by blending football statistics, live betting odds, and a Chinese astrology layer into a Tri-Track Collision score.

What language is fifa-winner-skill written in?

Mainly HTML. The stack also includes Python, GitHub Actions, GitHub Pages.

What license does fifa-winner-skill use?

No license is stated in the README.

How hard is fifa-winner-skill to set up?

Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.

Who is fifa-winner-skill for?

Mainly general.

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