AnalyseThisWC26 — real-time FIFA World Cup 2026 analytics & prediction
NeuNov Technologies built and deployed AnalyseThisWC26: a live platform that turns real FIFA World Cup 2026 data into match analysis, player scouting, statistical predictions, and a from-scratch Monte Carlo simulation estimating every team’s probability of winning the tournament outright.
Six tools, one real dataset
Match Analysis
Every played match with head-to-head team comparison, a timeline of goals, cards and substitutions, and an estimated momentum wave derived from real shot, corner and offside event data.
Player Analysis
Per-90-normalized stats for every player across the whole tournament — including squad members who haven’t played yet — so every rating is statistically grounded.
Group Standings
Real, live tables for all 12 groups with an interactive “what-if” predictor that recomputes each group’s remaining fixtures instantly, client-side.
Knockout Bracket
Round of 32 through the Final, resolved from real ESPN bracket data and your own group-stage what-if predictions.
Match Predictor
Pick two teams, build an XI for each, and get a Poisson-model prediction — win/draw/loss, expected scoreline, and a radar comparison — explained in plain language.
Winner Probability
A Monte Carlo simulation of 10,000 full tournaments estimating each team’s title chances, recomputed after every finished match, with eliminated teams correctly zeroed out.
How it was built
A from-scratch Monte Carlo tournament simulator
Rather than predicting one match at a time, the platform simulates the entire rest of the tournament — every remaining group match, then the full 32-team knockout bracket — 10,000 times. Each team’s “chance of winning it all” is simply how often they win the Final across those simulated futures.
Reverse-engineered a major sports API’s bracket structure
FIFA’s 48-team knockout format has a notoriously complex rule for which group’s 3rd-place finisher fills which bracket slot. Instead of hand-encoding it, the pipeline empirically discovered and verified how ESPN’s API encodes each match’s bracket position — confirmed correct across every round transition through the Final.
A real per-player statistical prediction model
Every prediction traces back to real per-90-normalized player performance — expected goals and assists, defensive actions, goalkeeping — not a black box. The methodology, including documented simplifications and a roadmap for improving accuracy, is written up in full.
A continuously self-refreshing data pipeline
An automated job re-scrapes finished matches, fixtures, standings and the bracket on a schedule, safely skips matches ESPN hasn’t marked final, and restarts the live service automatically — so the whole site, including the win-probability model, stays current without manual intervention.
Full production deployment, not just a demo
Containerized with Docker Compose behind an nginx reverse proxy, deployed on AWS EC2, secured with Let’s Encrypt TLS, with GitHub Actions running end-to-end API tests and k6 load tests on every change.
A genuinely large real dataset
Beyond the tournament itself, the platform pulled in roughly a year of qualifier and friendly match history — hundreds of real matches across UEFA, CONCACAF, CONMEBOL, CAF and AFC — so players with limited tournament minutes still get a meaningful rating instead of an unreliable small-sample one.
A closer look
Built and shipped like client work
AnalyseThisWC26 was delivered as a genuine multi-contributor effort through a standard engineering process — feature branches, pull-request review, and CI checks (automated end-to-end tests plus k6 load testing) gating every merge, with a live production deployment kept in sync with an active codebase. It reflects how NeuNov approaches client work generally: real data over assumptions, transparent and documented methodology over black-box outputs, and production-grade delivery rather than a one-off demo.
Built by NeuNov Technologies with AI-assisted engineering.
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