AI Verdict
Home Win — 84% probability ★★★★★
- P. Owusu (CF Montreal) — Injury default
- B. Hidalgo (CF Montreal) — Injury Groin
- W. Carmona (CF Montreal) — Injury Knee
Confidence: Decisive · Updated: Sun, Aug 30, 2026 07:30 AM
AI Prediction
Predicted outcome: Home Win (84% probability)
- Home Win: 84%
- Draw: 8%
- Away Win: 8%
Most likely scores: 0-0 (13%), 1-0 (13%), 1-1 (12%)
Model Confidence
Confidence Rating: Decisive (100%)
Clear separation between top 2 outcomes
Prediction Evolution (7 snapshots)
- 17:10 — Home 1% / Draw 0% / Away 0%
- 17:10 — Home 1% / Draw 0% / Away 0%
- 17:10 — Home 1% / Draw 0% / Away 0% (Δ Home -0.2%)
- 17:10 — Home 1% / Draw 0% / Away 0%
- 08:16 — Home 69% / Draw 17% / Away 15% (Δ Home +67.9%, Draw +16.4%, Away +14.7%)
- 08:16 — Home 69% / Draw 17% / Away 15%
- 08:16 — Home 69% / Draw 17% / Away 15%
Advanced Details
Match Signals
- 🩹 P. Owusu (CF Montreal) — Injury default ✅ confirmed
- 🩹 B. Hidalgo (CF Montreal) — Injury Groin ✅ confirmed
- 🩹 W. Carmona (CF Montreal) — Injury Knee ✅ confirmed
Frequently Asked Questions
- Why is Home Win the clear favorite?
- The AI model assigns 84% probability to Home Win, indicating strong confidence based on historical data, ELO ratings, and recent form analysis.
- What is the biggest factor affecting this prediction?
- P. Owusu (CF Montreal) — Injury default
- How confident is the model in this ranking (Decisive, 100%)?
- Model Confidence measures how certain the AI is about the order of outcomes, not any single probability. A clear gap between the top two outcomes gives the model high conviction in its ranking.
- How does the AI prediction model work?
- Our ensemble combines Gradient Boosting and Random Forest models trained on historical match data, ELO team ratings, recent form, and statistical metrics. Score distributions use Poisson-based simulations for the most likely scorelines.