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
Only 2 historical meeting(s). Ratings carry the most weight in this prediction.
Combined avg of 3.35 goals per game. Expected total for this match: 2.4 (Over 2.5 probability: 42%).
Both teams are evenly matched in recent form: South Korea 6/10, Côte d'Ivoire 7/10. A closely contested match is expected.
South Korea have a major tournament title to their name; Côte d'Ivoire do not. Proven pedigree at the highest level.
South Korea are currently on a 3-game winning run. Momentum is firmly with them entering this match.
South Korea's longest unbeaten run is 33 games vs Côte d'Ivoire's 26. South Korea have shown greater resilience historically.
AI Match-Up Evaluation
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Head-to-Head Record
2 meeting(s) · 2010-2026
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.