Lambdix brings its statistical engine to the 2026 World Cup. Goals, xG, corners, cards, shots, offsides — every market with a calibrated probability and an explicit edge over the book.
The model
Outcomes
Joint scoreline distribution with low-score correction. Win / draw / loss probabilities calibrated against thousands of matches.
Sharpening
Outcome probabilities are temperature-scaled so the model is neither over- nor under-confident — directly improves edge detection.
Form
Recent form weighted against a longer-run baseline, with smooth fall-off when sample size is thin — built for tournament football.
Strength
Goals expectation softly damped by opponent's defensive (or offensive) strength relative to the field.
Lineups
Player attacking and defensive scores feed into a multiplier on top of the base lambda. Bench depth modelled separately.
Calibration
Backtested against historical settled markets. The displayed probability is what actually hit, not just what theory says.
Markets
Some markets gated by data availability per stage.
How it works
No card. No subscription. Just an email and a password.
Every fixture from the group stage to the final, with full team scouting context.
Per-market probability, temperature-corrected, with explicit value vs the line.
Free during beta
Free while we are in beta · Beta users get a discount when paid plans launch
FAQ
Very soon — we're wiring the 2026 tournament into the model now. Sign up free and you'll have them as soon as they're live.
A tool. We give you calibrated probabilities and the explicit edge over a stated line — you decide what to bet, if anything.
Calibrated empirically against historical settled markets. Performance varies by market; we surface sample size and calibration confidence on every prediction.
Not yet. Lambdix is free while we're in beta. When paid plans launch later, beta users get advance notice and a discount.
No. Anyone who guarantees you profit on betting is selling a fantasy. We give you a sharper edge than the recreational punter — long-term outcomes are still subject to variance.
