Match-Up Lab
Pre-match analysis powered by rating models, historical head-to-head records, and contextual signals.
Pick a Match-Up
Choose any two teams and the rating model will compute win, draw, and loss probabilities along with expected goals.
Rating-Based Prediction
WFS predictor · expected score + venue adjustment · drawn from full historical performance
Key Factors
Rating-model adjustments and contextual signals that could influence the outcome
Japan won 7 of their last 10 games; Sweden won 3. Current form favours Japan.
Sweden have won 32% of games entering as underdogs (106W from 336). A strong record against the odds.
Japan hold a 144-point rating edge: roughly 21.6% extra win probability on ratings alone.
Combined avg of 3.75 goals per game. Expected total for this match: 2.7 (Over 2.5 probability: 52%).
Both teams are major tournament winners. Japan's most recent title: 2024. Sweden's most recent title: 2013.
Japan win 60% of games when entering as the favoured side (323W from 536). Reliable frontrunners.
AI Match-Up Evaluation
Sign in to unlock the AI-generated match-up evaluation, predicted winner and editorial verdict.
Head-to-Head Record
5 meeting(s) · 1962-2026
Comparative Profile
Era-aware metrics use only games from the last 10 years.
Rating Trajectory (Last 2 Years)
Both teams' rating lines overlaid · convergence / divergence analysis
Rolling Win Rate (20-Game Window)
Rolling win rate comparison · which team is in better current form?
Scenario Modeller
Adjust venue and rating parameters to see how the prediction changes in real time.
Adjust parameters above to see real-time probability changes
Recent Meetings
If they play 100 times
Scoreline distribution from the WFS predictor. Each cell shows how often that score would occur out of 100 simulated games: amber for home wins, slate for draws, violet for away wins.