AI Verdict
Home Win — 76% probability ★★★★★
- K. Velde (Portland Timbers) — Injury default
- J. Mosquera (Portland Timbers) — Injury default
- Z. McGraw (Portland Timbers) — Injury Back
Confidence: Decisive · Updated: Sun, Aug 23, 2026 10:30 AM
AI Prediction
Predicted outcome: Home Win (76% probability)
- Home Win: 76%
- Draw: 12%
- Away Win: 12%
Most likely scores: 1-1 (12%), 1-0 (11%), 0-1 (11%)
Model Confidence
Confidence Rating: Decisive (100%)
Clear separation between top 2 outcomes
Prediction Evolution (12 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%
- 08:22 — Home 55% / Draw 22% / Away 23% (Δ Home +54.8%, Draw +21.6%, Away +22.7%)
- 08:22 — Home 55% / Draw 22% / Away 23%
- 08:22 — Home 55% / Draw 22% / Away 23%
- 08:22 — Home 55% / Draw 22% / Away 23%
- 08:22 — Home 55% / Draw 22% / Away 23%
- 08:22 — Home 55% / Draw 22% / Away 23%
- 08:52 — Home 55% / Draw 22% / Away 23%
- 08:52 — Home 55% / Draw 22% / Away 23%
Advanced Details
Match Signals
- 🩹 K. Velde (Portland Timbers) — Injury default ✅ confirmed
- 🩹 J. Mosquera (Portland Timbers) — Injury default ✅ confirmed
- 🩹 Z. McGraw (Portland Timbers) — Injury Back ✅ confirmed
- 🩹 G. Guerra (Portland Timbers) — Injury default ✅ confirmed
- 🩹 O. Fernandez (Portland Timbers) — Injury default ✅ confirmed
- 🩹 S. Palencia (Los Angeles FC) — Injury Groin ✅ confirmed [Impact: Home -2%, Draw +1%, Away +1%]
- 🩹 Igor Jesus (Los Angeles FC) — Injury Knee ✅ confirmed [Impact: Home -2%, Draw +1%, Away +1%]
- 🩹 L. Dellavalle (Los Angeles FC) — Injury Knee ✅ confirmed [Impact: Home -2%, Draw +1%, Away +1%]
Frequently Asked Questions
- Why is Home Win the clear favorite?
- The AI model assigns 76% 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?
- K. Velde (Portland Timbers) — 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.