AI correctly predicted the Santo Domingo win.
The match finished 0–3, 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 Santo Domingo Santo Domingo ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 0-3 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| 22 de Julio | 28.8% | 22.4% | +6.4 pp | Model Higher |
| Draw | 29.3% | 31.1% | -1.8 pp | Aligned |
| Santo Domingo | 41.9% | 46.5% | -4.6 pp | Aligned |
The statistical model estimates 22 de Julio's win probability at 28.8%, compared with the closing market's implied probability of 22.4%, a difference of 6.4 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 model's directional lean matched the result (Santo Domingo win 0–3).
Market Assessment
The fair estimate shows a modest edge over current market pricing on 22 de Julio.
- 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
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 Santo Domingo more conservatively (35.5% vs model 41.9%, 6.4 pp), but the model's lean was validated (Santo Domingo win 0–3).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 27, 2026 · 20:29 UTC Forecast generated
- Model 1X2 · 22 de Julio 28.8% · Draw 29.3% · Santo Domingo 41.9%
- xG · 22 de Julio 1.16 — Santo Domingo 1.44
-
Aug 27, 2026 · 19:59 UTC Opening odds snapshot PRE30
- 1X2 odds · 22 de Julio 4.52 · Draw 3.12 · Santo Domingo 1.79
- Implied 1X2 · 22 de Julio 20.1% · Draw 29.1% · Santo Domingo 50.8%
- Bookmaker · Pinnacle
-
Aug 27, 2026 · 20:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · 22 de Julio 4.08 · Draw 2.94 · Santo Domingo 1.97
- Implied 1X2 · 22 de Julio 22.4% · Draw 31.1% · Santo Domingo 46.5%
- Bookmaker · Pinnacle
-
Aug 27, 2026 · 20:30 UTC Kickoff
-
FT Full-time result Santo Domingo win · 0–3
-
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: 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.
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Liga Pro Serie B — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Ind. Juniors | 22 | 10 | 9 | 3 | 39 |
| 2 | Atletico FC | 22 | 9 | 11 | 2 | 38 |
| 3 | 9 de Octubre | 22 | 9 | 10 | 3 | 37 |
| 4 | Deportivo Cuenca Juniors | 22 | 9 | 7 | 6 | 34 |
| 5 | Cuniburo | 22 | 8 | 7 | 7 | 31 |
| 6 | San Antonio | 22 | 7 | 10 | 5 | 31 |
| 7 | Gualaceo SC | 22 | 7 | 8 | 7 | 29 |
| 8 | Santo Domingo | 22 | 6 | 10 | 6 | 28 |
| 9 | LDU Portoviejo | 22 | 7 | 6 | 9 | 27 |
| 10 | Cumbayá | 22 | 5 | 11 | 6 | 26 |
| 11 | 22 de Julio | 22 | 4 | 3 | 15 | 15 |
| 12 | El Nacional | 22 | 2 | 6 | 14 | 12 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Ind. Juniors | 22 | 28 | 16 | +12 | 39 |
| 2 | Atletico FC | 22 | 25 | 14 | +11 | 38 |
| 3 | Cuniburo | 22 | 25 | 17 | +8 | 31 |
| 4 | San Antonio | 22 | 24 | 21 | +3 | 31 |
| 5 | 9 de Octubre | 22 | 22 | 14 | +8 | 37 |
| 6 | Cumbayá | 22 | 22 | 22 | 0 | 26 |
| 7 | Deportivo Cuenca Juniors | 22 | 20 | 23 | -3 | 34 |
| 8 | Gualaceo SC | 22 | 19 | 16 | +3 | 29 |
| 9 | Santo Domingo | 22 | 17 | 16 | +1 | 28 |
| 10 | LDU Portoviejo | 22 | 17 | 22 | -5 | 27 |
| 11 | El Nacional | 22 | 15 | 32 | -17 | 12 |
| 12 | 22 de Julio | 22 | 10 | 31 | -21 | 15 |
