AI Verdict
Away Win — 53% probability ★★★★☆
- L. Barroso (Chicago Fire) — Injury default
- J. Bamba (Chicago Fire) — Injury default
- A. Franco (Chicago Fire) — Injury Knee
Confidence: Decisive · Updated: Sun, Aug 23, 2026 07:30 AM
AI Prediction
Predicted outcome: Away Win (29% probability)
- Home Win: 29%
- Draw: 19%
- Away Win: 53%
Most likely scores: 0-1 (11%), 1-1 (11%), 1-2 (9%)
Model Confidence
Confidence Rating: Decisive (68%)
Clear separation between top 2 outcomes
Prediction Evolution (7 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% (Δ Away -0.1%)
- 17:10 — Home 0% / Draw 0% / Away 0%
- 08:00 — Home 45% / Draw 24% / Away 31% (Δ Home +44.8%, Draw +23.6%, Away +30.7%)
- 08:00 — Home 45% / Draw 24% / Away 31%
- 08:00 — Home 45% / Draw 24% / Away 31%
Advanced Details
Match Signals
- 🩹 L. Barroso (Chicago Fire) — Injury default ✅ confirmed
- 🩹 J. Bamba (Chicago Fire) — Injury default ✅ confirmed
- 🩹 A. Franco (Chicago Fire) — Injury Knee ✅ confirmed
Frequently Asked Questions
- Why is Away Win the clear favorite?
- The AI model assigns 53% probability to Away Win, indicating strong confidence based on historical data, ELO ratings, and recent form analysis.
- What is the biggest factor affecting this prediction?
- L. Barroso (Chicago Fire) — Injury default
- How confident is the model in this ranking (Decisive, 68%)?
- 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.