AI correctly predicted the Minnesota United FC win.
The match finished 3–1, validating the model's directional assessment.
Tracked markets vs full-time result
Each row compares the pre-match model lean to the full-time result.
- Market Prediction Result Outcome
- Over / Under 2.5 Under 2.5 Over 2.5 (4 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Minnesota United FC Minnesota United FC ✔ Correct
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-1 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Minnesota United FC | 36.1% | 47.7% | -11.6 pp | Market Higher |
| Draw | 29.6% | 25.1% | +4.5 pp | Aligned |
| Atlante FC | 34.2% | 27.1% | +7.1 pp | Model Higher |
The closing market estimates Minnesota United FC's win probability at 47.7%, compared with the model's estimate of 36.1%, a difference of 11.6 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.
Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.
After full time, the model's directional lean matched the result (Minnesota United FC win 3–1).
Market Assessment
The market is materially more optimistic about Minnesota United FC than the current fair estimate.
- Investors may be incorporating information not fully reflected in the baseline model.
- Tournament-specific context can shift market pricing.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
- Both Teams To Score (Yes) matched the full-time result
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
- Exact score: outside the model's top score bins
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Minnesota United FC higher (47.7% vs model 36.1%, 11.6 pp), but the model's lean was validated (Minnesota United FC win 3–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 12, 2026 · 00:29 UTC Forecast generated
- Model 1X2 · Minnesota United FC 36.1% · Draw 29.7% · Atlante FC 34.2%
- xG · Minnesota United FC 1.32 — Atlante FC 1.28
-
Aug 11, 2026 · 23:59 UTC Opening odds snapshot PRE30
- 1X2 odds · Minnesota United FC 1.99 · Draw 3.78 · Atlante FC 3.50
- Implied 1X2 · Minnesota United FC 47.7% · Draw 25.1% · Atlante FC 27.1%
- Bookmaker · Pinnacle
-
Aug 12, 2026 · 00:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Minnesota United FC 1.99 · Draw 3.78 · Atlante FC 3.50
- Implied 1X2 · Minnesota United FC 47.7% · Draw 25.1% · Atlante FC 27.1%
- Bookmaker · Pinnacle
-
Aug 12, 2026 · 00:30 UTC Kickoff
-
FT Full-time result Minnesota United FC win · 3–1
-
FT Prediction validated Directional lean matched full-time result
-
Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Warning
- Large market gap (12 pp)
- No strong statistical edge
- Market has already priced much of the edge
- Validation warning
Validation Report
Immutable SnapshotModel Performance
This prediction contributes to:
- Primary Bets ROI (180d): -100.0%
Review FAQ
- How accurate was the prediction?
- This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
- What does xG Accuracy measure?
- xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
- Why wasn't the exact score predicted?
- Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
- Does this improve the AI record?
- Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.
Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.
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