AI correctly predicted the Tondela win.
The match finished 3–0, 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 (3 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Tondela Tondela ✔ Correct
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-0 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Tondela | 37.5% | 56.6% | -19.0 pp | Market Higher |
| Draw | 29.6% | 24.9% | +4.7 pp | Aligned |
| FC Porto B | 32.9% | 18.6% | +14.3 pp | Model Edge |
The closing market estimates Tondela's win probability at 56.6%, compared with the model's estimate of 37.5%, a difference of 19.0 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 (Tondela win 3–0).
Market Assessment
The market is materially more optimistic about Tondela 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) — 3 goals materialised
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Tondela higher (56.5% vs model 37.5%, 19.0 pp), but the model's lean was validated (Tondela win 3–0).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 05, 2026 · 10:01 UTC Forecast generated
- Model 1X2 · Tondela 37.6% · Draw 29.6% · FC Porto B 32.9%
- xG · Tondela 1.35 — FC Porto B 1.25
-
Sep 05, 2026 · 09:31 UTC Opening odds snapshot PRE30
- 1X2 odds · Tondela 1.68 · Draw 3.82 · FC Porto B 5.12
- Implied 1X2 · Tondela 56.6% · Draw 24.9% · FC Porto B 18.6%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 10:01 UTC Closing snapshot recorded PRE1
- 1X2 odds · Tondela 1.68 · Draw 3.82 · FC Porto B 5.12
- Implied 1X2 · Tondela 56.6% · Draw 24.9% · FC Porto B 18.6%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 10:00 UTC Kickoff
-
FT Full-time result Tondela win · 3–0
-
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 (19 pp)
- No strong statistical edge
- Pricing remains divergent
- 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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Segunda Liga — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Lusitânia Lourosa | 6 | 5 | 1 | 0 | 16 |
| 2 | Penafiel | 6 | 4 | 1 | 1 | 13 |
| 3 | Sporting CP B | 6 | 4 | 0 | 2 | 12 |
| 4 | Vizela | 6 | 3 | 2 | 1 | 11 |
| 5 | Benfica B | 6 | 3 | 1 | 2 | 10 |
| 6 | União de Leiria | 6 | 3 | 1 | 2 | 10 |
| 7 | Leixoes | 6 | 3 | 1 | 2 | 10 |
| 8 | Academica | 6 | 3 | 0 | 3 | 9 |
| 9 | Tondela | 6 | 3 | 0 | 3 | 9 |
| 10 | Farense | 5 | 2 | 2 | 1 | 8 |
| 11 | Portimonense | 6 | 2 | 1 | 3 | 7 |
| 12 | AVS | 6 | 1 | 3 | 2 | 6 |
| 13 | Felgueiras 1932 | 6 | 1 | 3 | 2 | 6 |
| 14 | Torreense | 6 | 1 | 3 | 2 | 6 |
| 15 | Amarante | 6 | 1 | 2 | 3 | 5 |
| 16 | Chaves | 5 | 1 | 1 | 3 | 4 |
| 17 | FC Porto B | 6 | 1 | 1 | 4 | 4 |
| 18 | Feirense | 6 | 0 | 1 | 5 | 1 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Penafiel | 6 | 13 | 5 | +8 | 13 |
| 2 | Lusitânia Lourosa | 6 | 11 | 4 | +7 | 16 |
| 3 | União de Leiria | 6 | 10 | 7 | +3 | 10 |
| 4 | Sporting CP B | 6 | 8 | 6 | +2 | 12 |
| 5 | Leixoes | 6 | 8 | 6 | +2 | 10 |
| 6 | Academica | 6 | 8 | 10 | -2 | 9 |
| 7 | Vizela | 6 | 7 | 4 | +3 | 11 |
| 8 | Benfica B | 6 | 7 | 5 | +2 | 10 |
| 9 | Farense | 5 | 7 | 5 | +2 | 8 |
| 10 | Tondela | 6 | 7 | 6 | +1 | 9 |
| 11 | Torreense | 6 | 7 | 9 | -2 | 6 |
| 12 | AVS | 6 | 6 | 6 | 0 | 6 |
| 13 | Felgueiras 1932 | 6 | 5 | 6 | -1 | 6 |
| 14 | Amarante | 6 | 5 | 8 | -3 | 5 |
| 15 | Chaves | 5 | 5 | 9 | -4 | 4 |
| 16 | Portimonense | 6 | 4 | 6 | -2 | 7 |
| 17 | FC Porto B | 6 | 4 | 13 | -9 | 4 |
| 18 | Feirense | 6 | 1 | 8 | -7 | 1 |
