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
Tajikistan won 5 of their last 10 games; India won 2. Current form favours Tajikistan.
Tajikistan hold the historical edge: 4W-2D-2L across 8 meetings.
Tajikistan keep 36.2% clean sheets vs India's 27.9%, a 8pp gap that could be decisive in a tight contest.
Tajikistan hold a 80-point rating edge: roughly 12.0% extra win probability on ratings alone.
Both teams are major tournament winners. Tajikistan's most recent title: 2022. India's most recent title: 2023.
India have won 22% of games entering as underdogs (58W from 265). A strong record against the odds.
AI Match-Up Evaluation
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Head-to-Head Record
8 meeting(s) · 2008-2026
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.