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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<link rel="icon" type="image/png" href="./logo.png" />
<!-- Preload the data the app fetches, so it downloads in parallel with the JS (faster LCP) -->
<link rel="preload" href="./data.json" as="fetch" fetchpriority="high" />
<!-- Primary SEO -->
<title>TRIONDA · World Cup 2026 ML Predictor — Winner, Score & Goalscorers</title>
<meta name="description" content="TRIONDA is a free, open machine-learning model that predicts every 2026 World Cup match — winner, scoreline and goalscorers — validated blind on past tournaments. No paid data, no betting odds." />
<meta name="keywords" content="World Cup 2026, World Cup 2026 predictions, FIFA 2026 predictor, football match predictor, machine learning football, scoreline prediction, goalscorer prediction, knockout bracket predictor, TRIONDA" />
<meta name="author" content="Daud Ibrahim Hasan" />
<meta name="google-site-verification" content="9AJty-2nfEZ3TA2eapeoEy_JCJwv1gm4D5pNQUfuo-M" />
<meta name="robots" content="index, follow" />
<meta name="theme-color" content="#123524" />
<link rel="canonical" href="https://daudibrahimhasan.github.io/triONDA/" />
<!-- Open Graph (Facebook, WhatsApp, LinkedIn, Discord link previews) -->
<meta property="og:type" content="website" />
<meta property="og:site_name" content="TRIONDA" />
<meta property="og:title" content="TRIONDA · World Cup 2026 ML Predictor" />
<meta property="og:description" content="A free, open machine-learning model that predicts every 2026 World Cup match — winner, scoreline and goalscorers. Validated blind." />
<meta property="og:url" content="https://daudibrahimhasan.github.io/triONDA/" />
<meta property="og:image" content="https://daudibrahimhasan.github.io/triONDA/logo.png" />
<meta property="og:locale" content="en_US" />
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<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:title" content="TRIONDA · World Cup 2026 ML Predictor" />
<meta name="twitter:description" content="A free, open ML model that predicts every 2026 World Cup match — winner, scoreline and goalscorers. Validated blind." />
<meta name="twitter:image" content="https://daudibrahimhasan.github.io/triONDA/logo.png" />
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<script type="application/ld+json">
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"name": "TRIONDA",
"applicationCategory": "SportsApplication",
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"url": "https://daudibrahimhasan.github.io/triONDA/",
"description": "A free, open machine-learning model that predicts every 2026 World Cup match — winner, scoreline and goalscorers — validated blind on past tournaments.",
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<link
href="https://fonts.googleapis.com/css2?family=Unbounded:wght@500;600;700;800&family=Inter:wght@400;500;600;700&family=JetBrains+Mono:wght@400;500;700&display=swap"
rel="stylesheet"
/>
</head>
<body>
<div id="root"></div>
<!-- SEO fallback for non-JS crawlers and link scrapers (the app is client-rendered) -->
<noscript>
<main style="max-width: 720px; margin: 0 auto; padding: 2rem 1.25rem; font-family: Inter, system-ui, -apple-system, sans-serif; line-height: 1.6; color: #123524;">
<h1>TRIONDA — World Cup 2026 Machine-Learning Match Predictor</h1>
<p>
TRIONDA is a free, open machine-learning system that predicts the winner,
scoreline and goalscorers of every 2026 FIFA World Cup match. It is validated
blind against tournaments it never trained on. No paid data, no betting odds.
</p>
<h2>How it works</h2>
<p>
Each match becomes 140+ point-in-time features (form, squad quality, style,
head-to-head, situational context). A panel of specialist sub-models is blended
by a meta-learner, then adjusted for rivalry and host-city support. Every
prediction ships with an honest confidence score and a chaos coefficient.
</p>
<h2>Tested blind</h2>
<ul>
<li>World Cup 2026 group stage — 61.1%</li>
<li>World Cup 2018 (blind) — 60.4%</li>
<li>551 held-out tournament matches — 58.4%</li>
<li>Knockout advancement — 77.4%</li>
</ul>
</main>
</noscript>
<script type="module" src="/src/main.tsx"></script>
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</body>
</html>