AI correctly predicted the Varzim win.
The match finished 2–1, 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 (3 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Varzim Varzim ✔ Correct
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Varzim | 38.0% | 48.7% | -10.7 pp | Market Higher |
| Draw | 29.6% | 27.9% | +1.7 pp | Aligned |
| AD Marco 09 | 32.4% | 23.5% | +8.9 pp | Model Higher |
The closing market estimates Varzim's win probability at 48.7%, compared with the model's estimate of 38.0%, a difference of 10.7 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 (Varzim win 2–1).
Market Assessment
The market is materially more optimistic about Varzim 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
- 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)
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Varzim higher (48.6% vs model 38.0%, 10.7 pp), but the model's lean was validated (Varzim win 2–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 16, 2026 · 19:00 UTC Forecast generated
- Model 1X2 · Varzim 38.0% · Draw 29.6% · AD Marco 09 32.4%
- xG · Varzim 1.36 — AD Marco 09 1.24
-
Aug 16, 2026 · 18:31 UTC Opening odds snapshot PRE30
- 1X2 odds · Varzim 1.93 · Draw 3.37 · AD Marco 09 4.00
- Implied 1X2 · Varzim 48.7% · Draw 27.9% · AD Marco 09 23.5%
- Bookmaker · Pinnacle
-
Aug 16, 2026 · 19:00 UTC Closing snapshot recorded PRE1
- 1X2 odds · Varzim 1.93 · Draw 3.37 · AD Marco 09 4.00
- Implied 1X2 · Varzim 48.7% · Draw 27.9% · AD Marco 09 23.5%
- Bookmaker · Pinnacle
-
Aug 16, 2026 · 19:00 UTC Kickoff
-
FT Full-time result Varzim win · 2–1
-
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 (11 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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Liga 3 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Paredes | 5 | 4 | 0 | 1 | 12 |
| 1 | CF Os Belenenses | 5 | 5 | 0 | 0 | 15 |
| 2 | AD Marco 09 | 5 | 3 | 1 | 1 | 10 |
| 2 | Atlético CP | 5 | 3 | 1 | 1 | 10 |
| 3 | Varzim | 5 | 3 | 0 | 2 | 9 |
| 3 | Oliveirense | 5 | 2 | 2 | 1 | 8 |
| 4 | Fafe | 5 | 2 | 2 | 1 | 8 |
| 4 | Mafra | 5 | 2 | 1 | 2 | 7 |
| 5 | Vianense | 5 | 2 | 2 | 1 | 8 |
| 5 | Louletano | 5 | 2 | 1 | 2 | 7 |
| 6 | Leça | 5 | 2 | 1 | 2 | 7 |
| 6 | Caldas | 5 | 2 | 1 | 2 | 7 |
| 7 | Guimaraes B | 5 | 1 | 2 | 2 | 5 |
| 7 | Lusitano Évora 1911 | 5 | 1 | 2 | 2 | 5 |
| 8 | Trofense | 5 | 1 | 1 | 3 | 4 |
| 8 | SC Covilha | 5 | 1 | 2 | 2 | 5 |
| 9 | São João Ver | 5 | 0 | 3 | 2 | 3 |
| 9 | União Santarém | 5 | 1 | 1 | 3 | 4 |
| 10 | Pacos Ferreira | 5 | 0 | 2 | 3 | 2 |
| 10 | Vitória de Sernache | 5 | 0 | 1 | 4 | 1 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | CF Os Belenenses | 5 | 13 | 2 | +11 | 15 |
| 2 | Mafra | 5 | 9 | 5 | +4 | 7 |
| 3 | Atlético CP | 5 | 8 | 3 | +5 | 10 |
| 4 | Paredes | 5 | 8 | 4 | +4 | 12 |
| 5 | Fafe | 5 | 8 | 4 | +4 | 8 |
| 6 | Varzim | 5 | 8 | 5 | +3 | 9 |
| 7 | Oliveirense | 5 | 7 | 7 | 0 | 8 |
| 8 | Louletano | 5 | 7 | 7 | 0 | 7 |
| 9 | Leça | 5 | 7 | 8 | -1 | 7 |
| 10 | AD Marco 09 | 5 | 6 | 3 | +3 | 10 |
| 11 | Vianense | 5 | 6 | 5 | +1 | 8 |
| 12 | Caldas | 5 | 5 | 5 | 0 | 7 |
| 13 | Pacos Ferreira | 5 | 5 | 10 | -5 | 2 |
| 14 | Guimaraes B | 5 | 4 | 5 | -1 | 5 |
| 15 | Lusitano Évora 1911 | 5 | 4 | 5 | -1 | 5 |
| 16 | SC Covilha | 5 | 4 | 6 | -2 | 5 |
| 17 | São João Ver | 5 | 3 | 6 | -3 | 3 |
| 18 | União Santarém | 5 | 3 | 10 | -7 | 4 |
| 19 | Vitória de Sernache | 5 | 3 | 13 | -10 | 1 |
| 20 | Trofense | 5 | 2 | 7 | -5 | 4 |
