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
The 59-meeting rivalry is exceptionally balanced: 19W for Singapore, 27W for Indonesia, 13 draws. Never count either side out.
Combined avg of 3.06 goals per game. Expected total for this match: 2.9 (Over 2.5 probability: 56%).
Both teams are major tournament winners. Singapore's most recent title: 2006. Indonesia's most recent title: 1991.
Indonesia hold a 26-point rating edge: roughly 3.9% extra win probability on ratings alone.
Shootout record: Singapore: 7W-10L; Indonesia: 10W-3L. Edge goes to Indonesia if this match reaches penalties.
Singapore are gaining momentum recently (+34 pts). Indonesia have moved -7 pts in the same window.
AI Match-Up Evaluation
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Head-to-Head Record
59 meeting(s) · 2005-2021
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.