The model missed the final outcome (Farense win 2–1).
The model had projected Torreense at 38.5%, but the full-time result went the other way.
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 Yes ✔ Correct
- 1X2 Torreense Farense ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Farense | 31.9% | 26.9% | +5.1 pp | Model Higher |
| Draw | 29.6% | 29.8% | -0.2 pp | Aligned |
| Torreense | 38.5% | 43.3% | -4.8 pp | Aligned |
The statistical model estimates Farense's win probability at 31.9%, compared with the closing market's implied probability of 26.9%, a difference of 5.1 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 result was Farense win 2–1.
Market Assessment
The fair estimate shows a modest edge over current market pricing on Farense.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Exact score 2–1 fell within the model's highlighted bins
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
- 1X2: model leaned Torreense; match finished Farense
Market lesson
The closing market differed from the model on Torreense by 5.1 percentage points (33.4% vs model 38.5%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 09, 2026 · 09:59 UTC Forecast generated
- Model 1X2 · Farense 31.9% · Draw 29.6% · Torreense 38.5%
- xG · Farense 1.23 — Torreense 1.37
-
Aug 09, 2026 · 09:30 UTC Opening odds snapshot PRE30
- 1X2 odds · Farense 3.55 · Draw 3.20 · Torreense 2.20
- Implied 1X2 · Farense 26.9% · Draw 29.8% · Torreense 43.3%
- Bookmaker · Pinnacle
-
Aug 09, 2026 · 09:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Farense 3.55 · Draw 3.20 · Torreense 2.20
- Implied 1X2 · Farense 26.9% · Draw 29.8% · Torreense 43.3%
- Bookmaker · Pinnacle
-
Aug 09, 2026 · 10:00 UTC Kickoff
-
FT Full-time result Farense win · 2–1
-
FT Prediction missed 1X2 lean did not match 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: Pass
- No strong statistical edge
- Direction agrees with model lean
- Validation passed
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.
Explore More Predictions Content
Get Premium Predictions for Farense & Torreense!
Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.
Subscribe Now
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 |
