AI Verdict
Home Win — 45% probability ★☆☆☆☆
- L. Barroso (Chicago Fire) — Injury default
- J. Bamba (Chicago Fire) — Injury default
- A. Franco (Chicago Fire) — Injury Knee
Confidence: Uncertain · Updated: Sun, Aug 23, 2026 07:30 AM
AI Prediction
Predicted outcome: Home Win (45% probability)
- Home Win: 45%
- Draw: 16%
- Away Win: 40%
Most likely scores: 1-1 (12%), 1-0 (11%), 0-1 (11%)
Model Confidence
Confidence Rating: Uncertain (15%)
Very close race — model is uncertain about the ranking
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
- Is Home Win really likely to win?
- Home Win has a 45% edge — the model sees a slight advantage but recognizes the matchup is competitive. Draw (16%) and the other outcome are both realistic possibilities.
- What is the biggest factor affecting this prediction?
- L. Barroso (Chicago Fire) — Injury default
- How confident is the model in this ranking (Uncertain, 15%)?
- Model Confidence measures how certain the AI is about the order of outcomes, not any single probability. This is a toss-up — the model struggles to separate the outcomes confidently.
- 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.