The model missed the final outcome (Draw 1–1).
The model had projected Fluminense at 67.7%, 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 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
- Both Teams To Score BTTS No Yes ✖ Incorrect
- 1X2 Fluminense Draw ✖ Incorrect
- Correct Score Insights 2-0, 1-0, 2-1, 1-1, 3-0 1-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Fluminense | 67.7% | 52.3% | +15.4 pp | Model Edge |
| Draw | 21.1% | 27.3% | -6.2 pp | Market Higher |
| RB Bragantino | 11.2% | 20.4% | -9.1 pp | Market Higher |
The statistical model estimates Fluminense's win probability at 67.7%, compared with the closing market's implied probability of 52.3%, a difference of 15.4 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 result was Draw 1–1.
Market Assessment
The statistical fair estimate is materially higher than the market on Fluminense.
- The model may see a slower-scoring or closer matchup than the market.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Exact score 1–1 fell within the model's highlighted bins
What failed
- Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
- Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
Market lesson
The closing market differed from the model on Fluminense by 15.4 percentage points (52.3% vs model 67.7%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Jul 17, 2026 · 22:59 UTC Forecast generated
- Model 1X2 · Fluminense 67.6% · Draw 21.1% · RB Bragantino 11.2%
- xG · Fluminense 2.16 — RB Bragantino 0.79
-
Jul 17, 2026 · 22:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Fluminense 1.85 · Draw 3.54 · RB Bragantino 4.75
- Implied 1X2 · Fluminense 52.3% · Draw 27.3% · RB Bragantino 20.4%
- Bookmaker · Pinnacle
-
Jul 17, 2026 · 22:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Fluminense 1.85 · Draw 3.54 · RB Bragantino 4.75
- Implied 1X2 · Fluminense 52.3% · Draw 27.3% · RB Bragantino 20.4%
- Bookmaker · Pinnacle
-
Jul 17, 2026 · 23:00 UTC Kickoff
-
FT Full-time result Draw · 1–1
-
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: Warning
- Large market gap (15 pp)
- High xG deviation from league baseline (60%+)
- Strong model lean
- Pricing remains divergent
- Validation warning
Validation Report
Immutable SnapshotProbability Calibration
- Expected: 67.6%
- Historical Bucket: 65–70% — Building sample
Model 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 | Flamengo | 28 | 18 | 6 | 4 | 60 |
| 2 | Palmeiras | 28 | 16 | 9 | 3 | 57 |
| 3 | Atletico Paranaense | 28 | 14 | 7 | 7 | 49 |
| 4 | Fluminense | 28 | 13 | 9 | 6 | 48 |
| 5 | Bahia | 28 | 12 | 10 | 6 | 46 |
| 6 | Cruzeiro | 28 | 13 | 6 | 9 | 45 |
| 7 | Atletico-MG | 27 | 11 | 7 | 9 | 40 |
| 8 | Santos | 27 | 10 | 8 | 9 | 38 |
| 9 | Coritiba | 28 | 10 | 8 | 10 | 38 |
| 10 | RB Bragantino | 27 | 10 | 6 | 11 | 36 |
| 11 | Sao Paulo | 27 | 10 | 6 | 11 | 36 |
| 12 | Botafogo | 28 | 9 | 8 | 11 | 35 |
| 13 | Vitoria | 28 | 9 | 6 | 13 | 33 |
| 14 | Corinthians | 28 | 8 | 8 | 12 | 32 |
| 15 | Mirassol | 28 | 8 | 8 | 12 | 32 |
| 16 | Vasco DA Gama | 27 | 8 | 7 | 12 | 31 |
| 17 | Gremio | 28 | 7 | 8 | 13 | 29 |
| 18 | Internacional | 28 | 6 | 10 | 12 | 28 |
| 19 | remo | 28 | 5 | 8 | 15 | 23 |
| 20 | Chapecoense-sc | 27 | 3 | 9 | 15 | 18 |
| 20 | Chapecoense B | 20 | 1 | 7 | 12 | 10 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Flamengo | 28 | 55 | 23 | +32 | 60 |
| 2 | Palmeiras | 28 | 47 | 21 | +26 | 57 |
| 3 | Fluminense | 28 | 44 | 36 | +8 | 48 |
| 4 | Atletico Paranaense | 28 | 43 | 32 | +11 | 49 |
| 5 | Bahia | 28 | 43 | 35 | +8 | 46 |
| 6 | Cruzeiro | 28 | 42 | 40 | +2 | 45 |
| 7 | Santos | 27 | 41 | 40 | +1 | 38 |
| 8 | Botafogo | 28 | 41 | 45 | -4 | 35 |
| 9 | Coritiba | 28 | 37 | 43 | -6 | 38 |
| 10 | Atletico-MG | 27 | 36 | 32 | +4 | 40 |
| 11 | Vasco DA Gama | 27 | 34 | 41 | -7 | 31 |
| 12 | RB Bragantino | 27 | 33 | 31 | +2 | 36 |
| 13 | Mirassol | 28 | 33 | 42 | -9 | 32 |
| 14 | Sao Paulo | 27 | 32 | 30 | +2 | 36 |
| 15 | remo | 28 | 32 | 47 | -15 | 23 |
| 16 | Internacional | 28 | 30 | 36 | -6 | 28 |
| 17 | Gremio | 28 | 30 | 38 | -8 | 29 |
| 18 | Corinthians | 28 | 29 | 32 | -3 | 32 |
| 19 | Chapecoense-sc | 27 | 29 | 53 | -24 | 18 |
| 20 | Vitoria | 28 | 28 | 42 | -14 | 33 |
| 21 | Chapecoense B | 20 | 19 | 41 | -22 | 10 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Bahia | 28 | 12.2 | 6.9 | +5.3 | 46 |
| 2 | Santos | 27 | 9.9 | 6.6 | +3.3 | 38 |
| 3 | Flamengo | 28 | 9.0 | 5.7 | +3.3 | 60 |
| 4 | Vasco DA Gama | 27 | 9.2 | 6.1 | +3.1 | 31 |
| 5 | Atletico-MG | 27 | 5.9 | 2.9 | +3.0 | 40 |
| 6 | Corinthians | 28 | 7.2 | 4.7 | +2.5 | 32 |
| 7 | Atletico Paranaense | 28 | 10.2 | 8.1 | +2.1 | 49 |
| 8 | Fluminense | 28 | 8.7 | 6.8 | +1.9 | 48 |
| 9 | Palmeiras | 28 | 8.2 | 6.5 | +1.7 | 57 |
| 10 | Botafogo | 28 | 11.0 | 10.9 | +0.1 | 35 |
| 11 | Sao Paulo | 27 | 4.9 | 4.8 | +0.1 | 36 |
| 12 | RB Bragantino | 27 | 4.9 | 5.7 | -0.8 | 36 |
| 13 | Cruzeiro | 28 | 9.3 | 10.2 | -0.9 | 45 |
| 14 | Mirassol | 28 | 7.1 | 9.0 | -1.9 | 32 |
| 15 | remo | 28 | 5.6 | 7.7 | -2.1 | 23 |
| 16 | Coritiba | 28 | 4.9 | 7.1 | -2.2 | 38 |
| 17 | Chapecoense-sc | 27 | 7.3 | 9.9 | -2.6 | 18 |
| 18 | Internacional | 28 | 8.8 | 11.5 | -2.7 | 28 |
| 19 | Vitoria | 28 | 6.6 | 11.7 | -5.1 | 33 |
| 20 | Gremio | 28 | 5.3 | 13.5 | -8.2 | 29 |
| 21 | Chapecoense B | 20 | — | — | — | 10 |