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
South Sudan hold the historical edge: 5W-0D-2L across 7 meetings.
Combined avg of 1.44 goals per game. Expected total for this match: 2.5 (Over 2.5 probability: 44%).
South Sudan keep 25.5% clean sheets vs Djibouti's 10.2%, a 15pp gap that could be decisive in a tight contest.
13.8% of South Sudan's games end goalless, well above the global average, suggesting a low-scoring match.
South Sudan hold a 54-point rating edge: roughly 8.1% extra win probability on ratings alone.
Djibouti have won 10% of games entering as underdogs (12W from 119). A strong record against the odds.
AI Match-Up Evaluation
Sign in to unlock the AI-generated match-up evaluation, predicted winner and editorial verdict.
Head-to-Head Record
7 meeting(s) · 2015-2026
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.