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Football analytics

An AI model for World Cup 2026 decisions.

Blend team strength, market odds, confidence scoring and model diagnostics into a clean football analytics cockpit.

Stage

Post-tournament case study

Market

Football analysts, disciplined bettors, sports data builders

Next

Prediction ledger and model lab

MVP
Team ratings
Value signals
Match forecasts

Product system

World Cup AI Model

Signal

LIVE

Evidence after the tournament

The first version proved the prediction engine. The next version proves the product.

WorldCup Edge should evolve from an internal dashboard into a transparent analytics lab: forecasts locked before the match, odds movement captured over time and performance reports generated after results land.

Matches analyzed

104

Correct model picks

72

Full-model accuracy

69.2%

Simulated bankroll

€1,261

System architecture

Built around the decisions that matter.

Explainable football forecasting for World Cup 2026.

Prediction engine

Generate match probabilities and compare model prices against available market odds.

Value shortlist

Rank opportunities by edge, confidence, grade and risk notes for faster review.

Performance lab

Track results, ROI, price movement and model quality across the tournament.

Product blueprint

Build the system people can audit.

The serious version is not a tipster page. It is a model intelligence product with a visible evidence trail.

Locked prediction ledger

Timestamp every forecast before kickoff and preserve model outputs for public review.

Model-vs-market console

Compare internal probabilities against available odds, closing lines and real outcomes.

Performance evidence layer

Turn results, misses, ROI simulations and accuracy by phase into transparent reports.

Audience

Built for football analysts and disciplined bettors who want explainable model signals, not noisy hype.

Build focus

Team strength and match probabilities

Timestamped prediction ledger

Performance tracking and model-vs-market diagnostics

The 2026 case study reviewed 104 matches, 72 correct model picks and the gap between prediction quality and betting automation.

Launch notes

Get the private build notes.

Early access, product drops and sharp notes on the systems I am building across AI, analytics and alternative investments.