The most complete and actively updated FIFA World Cup 2026 dataset on Kaggle. A clean, authentic, relational dataset covering the entire tournament (June 11 – July 19, 2026) with the first-ever 48-team format. Includes real match results updated daily, 1,248 players across all 48 squads, expected goals (xG), minute-by-minute match events.

Kufa TV — Free live TV channels and FIFA World Cup 2026 streaming web app. Watch every match of the 2026 World Cup entirely free in high quality.

A comprehensive bilingual (Arabic & English) platform for the 2026 World Cup — fixtures, live scores, predictions, private leagues, standings, stadiums, referees & news. All in one place. ⚽🌍

AI World Cup: a reproducible benchmark for comparing free LLMs on FIFA World Cup 2026 predictions using standardized prompts, manual model responses, automated scoring, leaderboards, charts, and a GitHub Pages results website.

专业级世界杯足球赛事智能分析系统 — Claude Code 技能，8 层研究架构，中国体育彩票全市场覆盖。

Held-out FIFA World Cup prediction model: Dixon-Coles goals, market-value prior, Elo baseline, daily-locked picks, Monte Carlo title odds.

FIFA World Cup 2026 — ML Prediction Model

⚡ StadiumFlow AI is the ultimate Neo-Brutalist Smart Stadium Operations Center for the FIFA World Cup 2026. Features a gamified Fan PWA (Live Cam, Trivia, SOS) and a highly advanced Staff Dashboard for real-time crowd heatmaps and AI crisis simulation. Built with Next.js, TailwindCSS, and Zustand.

Statistical analysis of Men's FIFA World Cup squad age profiles (1930–2022) using R. Covers EDA, linear regression, logistic regression, ANOVA and fan survey analysis.

This project provides an in-depth analysis of FIFA World Cup data using Python. It covers key aspects of the matches history, performance trends, and standout insights. Whether you're a football enthusiast or a data analytics fan, this project highlights the intersection of sports and data science.

Predicciones para el Mundial 2026 comparativamente con Plataformas de IA

Machine learning pipeline to predict FIFA World Cup 2026 match outcomes and simulate the tournament bracket using historical international football data.

This project focuses on analyzing historical FIFA football data to extract meaningful insights and present them through an interactive and visually engaging dashboard. The analysis covers performance metrics, trends over time, and probabilistic insights related to matches and tournaments.

End-to-end FIFA World Cup data intelligence project (1930–2014) — EDA, statistical hypothesis testing, interactive dashboards and stakeholder presentation, built entirely inside Claude AI using natural language.

An ontology-aware Knowledge Graph for the FIFA World Cup 2022, explorable through a Streamlit application. It enables deep analysis via structural queries, semantic similarity (TransE, ComplEx), player search by image, and a RAG pipeline for natural language querying.

A real-time dashboard for the FIFA World Cup 2026: live scores, match schedules, group standings, knockout brackets, and top scorers — built with Next.js and deployed on Cloudflare Pages.

End-to-End Sports Analytics Project analyzing FIFA World Cup history from 1930–2022 using Python and Power BI.

FIFA fantasy WC 2026 prediction and decision-support system

Machine learning and statistical modeling project for FIFA World Cup 2026 analysis and prediction.

How far does each team go at the 2026 FIFA World Cup? A probabilistic forecast of every team's odds of reaching each round and lifting the title — built with Elo ratings, Poisson scorelines, and 10,000 Monte Carlo simulations.