AI correctly predicted the Bahia win.
The match finished 2–3, 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 (5 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Bahia Bahia ✔ Correct
- Correct Score Insights 0-1, 1-1, 0-2, 1-2, 0-0 2-3 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| RB Bragantino | 29.0% | 46.9% | -17.9 pp | Market Higher |
| Draw | 29.2% | 26.6% | +2.7 pp | Aligned |
| Bahia | 41.8% | 26.5% | +15.3 pp | Model Edge |
The closing market estimates RB Bragantino's win probability at 46.9%, compared with the model's estimate of 29.0%, a difference of 17.9 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 (Bahia win 2–3).
Market Assessment
The market is materially more optimistic about RB Bragantino 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
- Bahia attacking xG significantly stronger (1.52 vs 0.97)
- 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 (5 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 Bahia higher (59.7% vs model 41.8%, 17.9 pp), but the model's lean was validated (Bahia win 2–3).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 05, 2026 · 19:57 UTC Forecast generated
- Model 1X2 · RB Bragantino 29.0% · Draw 29.3% · Bahia 41.7%
- xG · RB Bragantino 0.97 — Bahia 1.52
-
Sep 05, 2026 · 18:29 UTC Opening odds snapshot PRE30
- 1X2 odds · RB Bragantino 2.06 · Draw 3.64 · Bahia 3.65
- Implied 1X2 · RB Bragantino 46.9% · Draw 26.6% · Bahia 26.5%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 18:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · RB Bragantino 2.06 · Draw 3.64 · Bahia 3.65
- Implied 1X2 · RB Bragantino 46.9% · Draw 26.6% · Bahia 26.5%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 19:00 UTC Kickoff
-
FT Full-time result Bahia win · 2–3
-
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: Warning
- Large market gap (18 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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Serie A — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Palmeiras | 27 | 16 | 8 | 3 | 56 |
| 2 | Flamengo | 26 | 16 | 6 | 4 | 54 |
| 3 | Atletico Paranaense | 27 | 13 | 7 | 7 | 46 |
| 4 | Fluminense | 27 | 12 | 9 | 6 | 45 |
| 5 | Bahia | 26 | 11 | 10 | 5 | 43 |
| 6 | Cruzeiro | 27 | 12 | 6 | 9 | 42 |
| 7 | Atletico-MG | 26 | 11 | 6 | 9 | 39 |
| 8 | Coritiba | 27 | 10 | 8 | 9 | 38 |
| 9 | RB Bragantino | 26 | 10 | 6 | 10 | 36 |
| 10 | Santos | 26 | 9 | 8 | 9 | 35 |
| 11 | Sao Paulo | 26 | 9 | 6 | 11 | 33 |
| 12 | Vitoria | 27 | 9 | 6 | 12 | 33 |
| 13 | Corinthians | 26 | 8 | 8 | 10 | 32 |
| 14 | Botafogo | 26 | 8 | 8 | 10 | 32 |
| 15 | Mirassol | 27 | 7 | 8 | 12 | 29 |
| 16 | Gremio | 26 | 7 | 7 | 12 | 28 |
| 17 | Vasco DA Gama | 26 | 7 | 7 | 12 | 28 |
| 18 | Internacional | 27 | 6 | 10 | 11 | 28 |
| 19 | remo | 26 | 5 | 8 | 13 | 23 |
| 20 | Chapecoense-sc | 26 | 3 | 8 | 15 | 17 |
| 20 | Chapecoense B | 20 | 1 | 7 | 12 | 10 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Flamengo | 26 | 51 | 21 | +30 | 54 |
| 2 | Palmeiras | 27 | 47 | 21 | +26 | 56 |
| 3 | Atletico Paranaense | 27 | 41 | 31 | +10 | 46 |
| 4 | Fluminense | 27 | 41 | 35 | +6 | 45 |
| 5 | Bahia | 26 | 40 | 32 | +8 | 43 |
| 6 | Cruzeiro | 27 | 39 | 39 | 0 | 42 |
| 7 | Santos | 26 | 39 | 39 | 0 | 35 |
| 8 | Botafogo | 26 | 38 | 41 | -3 | 32 |
| 9 | Coritiba | 27 | 37 | 38 | -1 | 38 |
| 10 | Atletico-MG | 26 | 35 | 31 | +4 | 39 |
| 11 | RB Bragantino | 26 | 32 | 29 | +3 | 36 |
| 12 | Sao Paulo | 26 | 31 | 30 | +1 | 33 |
| 13 | Mirassol | 27 | 31 | 42 | -11 | 29 |
| 14 | Internacional | 27 | 30 | 35 | -5 | 28 |
| 15 | remo | 26 | 30 | 43 | -13 | 23 |
| 16 | Vasco DA Gama | 26 | 29 | 41 | -12 | 28 |
| 17 | Gremio | 26 | 28 | 35 | -7 | 28 |
| 18 | Chapecoense-sc | 26 | 28 | 52 | -24 | 17 |
| 19 | Corinthians | 26 | 27 | 27 | 0 | 32 |
| 20 | Vitoria | 27 | 27 | 39 | -12 | 33 |
| 21 | Chapecoense B | 20 | 19 | 41 | -22 | 10 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Bahia | 26 | 12.2 | 6.9 | +5.3 | 43 |
| 2 | Santos | 26 | 9.9 | 6.6 | +3.3 | 35 |
| 3 | Flamengo | 26 | 9.0 | 5.7 | +3.3 | 54 |
| 4 | Vasco DA Gama | 26 | 9.2 | 6.1 | +3.1 | 28 |
| 5 | Atletico-MG | 26 | 5.9 | 2.9 | +3.0 | 39 |
| 6 | Corinthians | 26 | 7.2 | 4.7 | +2.5 | 32 |
| 7 | Atletico Paranaense | 27 | 10.2 | 8.1 | +2.1 | 46 |
| 8 | Fluminense | 27 | 8.7 | 6.8 | +1.9 | 45 |
| 9 | Palmeiras | 27 | 8.2 | 6.5 | +1.7 | 56 |
| 10 | Sao Paulo | 26 | 4.9 | 4.8 | +0.1 | 33 |
| 11 | Botafogo | 26 | 10.1 | 10.3 | -0.2 | 32 |
| 12 | RB Bragantino | 26 | 4.9 | 5.7 | -0.8 | 36 |
| 13 | Cruzeiro | 27 | 9.3 | 10.2 | -0.9 | 42 |
| 14 | Mirassol | 27 | 7.1 | 9.0 | -1.9 | 29 |
| 15 | remo | 26 | 5.6 | 7.7 | -2.1 | 23 |
| 16 | Coritiba | 27 | 4.9 | 7.1 | -2.2 | 38 |
| 17 | Chapecoense-sc | 26 | 7.3 | 9.9 | -2.6 | 17 |
| 18 | Internacional | 27 | 8.8 | 11.5 | -2.7 | 28 |
| 19 | Vitoria | 27 | 6.6 | 11.7 | -5.1 | 33 |
| 20 | Gremio | 26 | 4.7 | 12.6 | -7.9 | 28 |
| 21 | Chapecoense B | 20 | — | — | — | 10 |