AI Verdict
Home Win — 54% probability ★★★★☆
- P. Owusu (CF Montreal) — Injury default
- B. Hidalgo (CF Montreal) — Injury Groin
- W. Carmona (CF Montreal) — Injury Knee
Confidence: Decisive · Updated: Sun, Aug 23, 2026 07:30 AM
AI Prediction
Predicted outcome: Home Win (54% probability)
- Home Win: 54%
- Draw: 18%
- Away Win: 29%
Most likely scores: 0-0 (17%), 1-0 (14%), 0-1 (13%)
Model Confidence
Confidence Rating: Decisive (73%)
Clear separation between top 2 outcomes
Prediction Evolution (10 snapshots)
- 17:10 — Home 0% / Draw 0% / Away 0%
- 17:10 — Home 0% / Draw 0% / Away 0%
- 17:10 — Home 0% / Draw 0% / Away 0%
- 17:10 — Home 0% / Draw 0% / Away 0%
- 08:22 — Home 34% / Draw 24% / Away 43% (Δ Home +33.5%, Draw +23.4%, Away +42.3%)
- 08:22 — Home 34% / Draw 24% / Away 43%
- 08:22 — Home 34% / Draw 24% / Away 43%
- 08:22 — Home 34% / Draw 24% / Away 43%
- 08:22 — Home 34% / Draw 24% / Away 43%
- 08:22 — Home 34% / Draw 24% / Away 43%
Advanced Details
Match Signals
- 🩹 P. Owusu (CF Montreal) — Injury default ✅ confirmed [Impact: Home -2%, Draw +1%, Away +1%]
- 🩹 B. Hidalgo (CF Montreal) — Injury Groin ✅ confirmed [Impact: Home -2%, Draw +1%, Away +1%]
- 🩹 W. Carmona (CF Montreal) — Injury Knee ✅ confirmed [Impact: Home -2%, Draw +1%, Away +1%]
- 🩹 C. Garces (Los Angeles Galaxy) — Injury default ✅ confirmed [Impact: Home +1%, Draw +1%, Away -2%]
- 🩹 R. Puig (Los Angeles Galaxy) — Injury Knee ✅ confirmed [Impact: Home +1%, Draw +1%, Away -2%]
- 🩹 Joao Klauss (Los Angeles Galaxy) — Injury default ✅ confirmed [Impact: Home +1%, Draw +1%, Away -2%]
Frequently Asked Questions
- Why is Home Win the clear favorite?
- The AI model assigns 54% 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, 73%)?
- 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.