How does FootballMoney predict this match?

Our AI model analyzes historical team performance, ELO ratings, recent form, injuries, and statistical metrics to generate probability estimates for Home Win, Draw, and Away Win.

What is Model Confidence vs Prediction Probability?

Prediction probability (e.g., 41% Home Win) is the chance of a specific outcome. Model Confidence measures how certain the AI is about the ranking of outcomes — even with low probabilities, the model can be highly confident about which outcome is most likely.

How does the Prediction Timeline work?

After a match finishes, we reconstruct how the AI's probability estimates changed throughout the game, identifying key turning points where the model adjusted its prediction based on in-game events.

Seattle Sounders vs Austin

Thu, Aug 20, 2026 09:30 AM

AI Verdict

Home Win — 78% probability ★★★★★

P. de La Vega (Seattle Sounders) — Injury Knee
R. Sailor (Seattle Sounders) — Injury Knee
C. Roldan (Seattle Sounders) — Injury Muscle

Confidence: Decisive · Updated: Thu, Aug 20, 2026 09:30 AM

AI Prediction

Predicted outcome: Home Win (78% probability)

Home Win: 78%
Draw: 11%
Away Win: 10%

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 (15 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%, Draw +0.1%)
17:10 — Home 1% / Draw 0% / Away 0%
18:56 — Home 54% / Draw 25% / Away 21% (Δ Home +53.5%, Draw +25.2%, Away +20.4%)
18:56 — Home 54% / Draw 25% / Away 21%
18:56 — Home 54% / Draw 25% / Away 21%
18:56 — Home 54% / Draw 25% / Away 21%
08:07 — Home 56% / Draw 24% / Away 20% (Δ Home +1.6%, Draw -1.1%, Away -0.4%)
08:07 — Home 56% / Draw 24% / Away 20%
08:07 — Home 56% / Draw 24% / Away 20%
08:45 — Home 56% / Draw 24% / Away 20%
08:45 — Home 56% / Draw 24% / Away 20%
08:45 — Home 56% / Draw 24% / Away 20%
09:15 — Home 56% / Draw 24% / Away 20%

Advanced Details

Match Signals

🩹 P. de La Vega (Seattle Sounders) — Injury Knee ✅ confirmed
🩹 R. Sailor (Seattle Sounders) — Injury Knee ✅ confirmed
🩹 C. Roldan (Seattle Sounders) — Injury Muscle ✅ confirmed
🩹 A. Roldan (Seattle Sounders) — Injury Hip ✅ confirmed
🩹 N. Petkovic (Seattle Sounders) — Injury Knee ✅ confirmed [Impact: Home -2%, Draw +1%, Away +1%]
🩹 Kim Kee-Hee (Seattle Sounders) — Injury Muscle ✅ confirmed [Impact: Home -2%, Draw +1%, Away +1%]
🩹 Y. Gomez Andrade (Seattle Sounders) — Injury Hamstring ✅ confirmed [Impact: Home -2%, Draw +1%, Away +1%]
🩹 J. Nelson (Austin) — Minor Missing Fixture ✅ confirmed [Impact: Home +1%, Away -1%]
🩹 M. Uzuni (Austin) — Minor Missing Fixture ✅ confirmed [Impact: Home +1%, Away -1%]
🩹 R. Taylor (Austin) — Minor Missing Fixture ✅ confirmed [Impact: Home +1%, Away -1%]
🩹 B. Hines-Ike (Austin) — Minor Missing Fixture ✅ confirmed [Impact: Home +1%, Away -1%]

Frequently Asked Questions

Why is Home Win the clear favorite?: The AI model assigns 78% 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. de La Vega (Seattle Sounders) — Injury Knee
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.

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