AI correctly predicted the Tre Fiori win.
The match finished 5–2, 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 (7 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Tre Fiori Tre Fiori ✔ Correct
- Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 5-2 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Tre Fiori | 48.3% | 60.7% | -12.4 pp | Market Higher |
| Draw | 28.4% | 21.8% | +6.6 pp | Model Higher |
| Pennarossa | 23.3% | 17.5% | +5.8 pp | Model Higher |
The closing market estimates Tre Fiori's win probability at 60.7%, compared with the model's estimate of 48.3%, a difference of 12.4 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: PRE5.
After full time, the model's directional lean matched the result (Tre Fiori win 5–2).
Market Assessment
The market is materially more optimistic about Tre Fiori 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) — 7 goals materialised
- Tre Fiori attacking xG significantly stronger (1.57 vs 1.03)
- 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 (7 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 Tre Fiori higher (60.7% vs model 48.3%, 12.4 pp), but the model's lean was validated (Tre Fiori win 5–2).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 30, 2026 · 13:00 UTC Forecast generated
- Model 1X2 · Tre Fiori 48.3% · Draw 28.4% · Pennarossa 23.3%
- xG · Tre Fiori 1.57 — Pennarossa 1.03
-
Aug 30, 2026 · 12:35 UTC Opening odds snapshot PRE30
- 1X2 odds · Tre Fiori 1.46 · Draw 4.07 · Pennarossa 5.07
- Implied 1X2 · Tre Fiori 60.7% · Draw 21.8% · Pennarossa 17.5%
- Bookmaker · Pinnacle
-
Aug 30, 2026 · 13:00 UTC Closing snapshot recorded PRE5
- 1X2 odds · Tre Fiori 1.46 · Draw 4.07 · Pennarossa 5.07
- Implied 1X2 · Tre Fiori 60.7% · Draw 21.8% · Pennarossa 17.5%
- Bookmaker · Pinnacle
-
Aug 30, 2026 · 13:00 UTC Kickoff
-
FT Full-time result Tre Fiori win · 5–2
-
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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Campionato — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Folgore | 4 | 4 | 0 | 0 | 12 |
| 2 | Tre Penne | 4 | 4 | 0 | 0 | 12 |
| 3 | Virtus | 4 | 3 | 1 | 0 | 10 |
| 4 | Tre Fiori | 4 | 3 | 0 | 1 | 9 |
| 5 | Cosmos | 4 | 2 | 1 | 1 | 7 |
| 6 | Domagnano | 4 | 2 | 0 | 2 | 6 |
| 7 | La Fiorita | 4 | 1 | 3 | 0 | 6 |
| 8 | Libertas | 4 | 1 | 2 | 1 | 5 |
| 9 | Fiorentino | 4 | 1 | 1 | 2 | 4 |
| 10 | Juvenes / Dogana | 4 | 1 | 0 | 3 | 3 |
| 11 | Cailungo | 4 | 1 | 0 | 3 | 3 |
| 12 | Murata | 4 | 1 | 0 | 3 | 3 |
| 13 | San Giovanni | 4 | 1 | 0 | 3 | 3 |
| 14 | Pennarossa | 4 | 1 | 0 | 3 | 3 |
| 15 | San Marino Academy | 4 | 0 | 2 | 2 | 2 |
| 16 | Faetano | 4 | 0 | 2 | 2 | 2 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Tre Fiori | 4 | 14 | 5 | +9 | 9 |
| 2 | Folgore | 4 | 10 | 1 | +9 | 12 |
| 3 | Tre Penne | 4 | 9 | 2 | +7 | 12 |
| 4 | Cosmos | 4 | 9 | 4 | +5 | 7 |
| 5 | Domagnano | 4 | 7 | 6 | +1 | 6 |
| 6 | Pennarossa | 4 | 7 | 16 | -9 | 3 |
| 7 | Virtus | 4 | 6 | 2 | +4 | 10 |
| 8 | Juvenes / Dogana | 4 | 6 | 6 | 0 | 3 |
| 9 | La Fiorita | 4 | 4 | 3 | +1 | 6 |
| 10 | Libertas | 4 | 4 | 5 | -1 | 5 |
| 11 | Fiorentino | 4 | 4 | 5 | -1 | 4 |
| 12 | Cailungo | 4 | 4 | 5 | -1 | 3 |
| 13 | Murata | 4 | 4 | 10 | -6 | 3 |
| 14 | San Giovanni | 4 | 4 | 10 | -6 | 3 |
| 15 | San Marino Academy | 4 | 1 | 5 | -4 | 2 |
| 16 | Faetano | 4 | 1 | 9 | -8 | 2 |
