AI Verdict
Away Win — 61% probability ★★★★★
- C. Harper (New York Red Bulls) — Minor Missing Fixture
- A. Marcucci (New York Red Bulls) — Minor Missing Fixture
- E. Forsberg (New York Red Bulls) — Minor Missing Fixture
Confidence: Decisive · Updated: Thu, Aug 20, 2026 07:30 AM
AI Prediction
Predicted outcome: Away Win (24% probability)
- Home Win: 24%
- Draw: 16%
- Away Win: 61%
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 (9 snapshots)
- 17:10 — Home 0% / Draw 0% / Away 1%
- 17:10 — Home 0% / Draw 0% / Away 1%
- 17:10 — Home 0% / Draw 0% / Away 0% (Δ Home +0.2%, Away -0.2%)
- 17:10 — Home 0% / Draw 0% / Away 0%
- 18:56 — Home 41% / Draw 26% / Away 33% (Δ Home +41.1%, Draw +25.5%, Away +32.4%)
- 18:56 — Home 41% / Draw 26% / Away 33%
- 18:56 — Home 41% / Draw 26% / Away 33%
- 18:56 — Home 41% / Draw 26% / Away 33%
- 18:56 — Home 41% / Draw 26% / Away 33%
Advanced Details
Match Signals
- 🩹 C. Harper (New York Red Bulls) — Minor Missing Fixture ✅ confirmed [Impact: Home -1%, Away +1%]
- 🩹 A. Marcucci (New York Red Bulls) — Minor Missing Fixture ✅ confirmed [Impact: Home -1%, Away +1%]
- 🩹 E. Forsberg (New York Red Bulls) — Minor Missing Fixture ✅ confirmed [Impact: Home -1%, Away +1%]
- 🩹 M. Dos Santos (New York Red Bulls) — Minor Missing Fixture ✅ confirmed [Impact: Home -1%, Away +1%]
- 🩹 E. M. Choupo-Moting (New York Red Bulls) — Minor Missing Fixture ✅ confirmed [Impact: Home -1%, Away +1%]
Frequently Asked Questions
- Why is Away Win the clear favorite?
- The AI model assigns 61% 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?
- C. Harper (New York Red Bulls) — Minor Missing Fixture
- 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.