world-cup-predictor

Name: world-cup-predictor
Availability: InStock
Author: mikobinbin

Predict FIFA World Cup match outcomes using Elo ratings and player growth models.

668|15|Updated May 20, 2026

Search Tags:#player analysis #prediction #football #world cup #elo ratings

Ready to run

npx skills add https://github.com/mikobinbin/2026-world-cup-predictor --skill world-cup-predictor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: world-cup-predictor
Source: https://github.com/mikobinbin/2026-world-cup-predictor/tree/main
Command: npx skills add https://github.com/mikobinbin/2026-world-cup-predictor --skill world-cup-predictor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires streamlit, pandas, numpy, matplotlib, altair, pillow, requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill predicts the outcomes of FIFA World Cup matches by combining traditional Elo ratings with player growth models and mystical factors, providing comprehensive insights into potential outcomes.

Core Features & Use Cases

Match Predictions: Generate probabilities for match outcomes, including win, draw, and loss scenarios.
Player Analysis: Evaluate player performance and potential impact on the team.
Team Rankings: Provide rankings of teams based on historical performance and current form.
Use Case: Use this Skill to predict the winner of the 2026 FIFA World Cup and analyze the strengths and weaknesses of each team.

Quick Start

Use the world-cup-predictor skill to predict the outcome of the match between Brazil and Argentina.

Frequently Asked Questions about world-cup-predictor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I predict FIFA World Cup match outcomes using Elo ratings and player growth models?▼

You can predict FIFA World Cup match outcomes by combining team Elo ratings, player growth models, and mystical factors to generate win, draw, and loss probabilities for 2026 tournament matches.

What is the best way to analyze team rankings and player performance for the 2026 FIFA World Cup?▼

The best way to analyze team rankings and player performance for the 2026 FIFA World Cup is using a prediction model that blends historical Elo ratings with player statistics to evaluate team strengths and weaknesses.

How does predicting World Cup matches with mystical factors work?▼

Predicting World Cup matches with mystical factors works by combining these variables with traditional Elo ratings and player growth models to calculate comprehensive match probabilities and potential team rankings.

Can I use Streamlit and Pandas to visualize football match predictions?▼

Yes, you can use Streamlit and Pandas to visualize football match predictions, as the underlying data and analytics framework supports generating interactive match probabilities and player analysis outputs.

What data do I need to calculate World Cup match probabilities and team rankings?▼

To calculate World Cup match probabilities and team rankings, you need data on team Elo ratings, player statistics, and mystical factors to feed into the prediction model.

Does this World Cup prediction approach apply to tournaments other than the 2026 FIFA World Cup?▼

No, this World Cup prediction approach specifically applies to the 2026 FIFA World Cup tournament, providing tailored insights into team rankings, player performance, and match probabilities for that event.