The model missed the final outcome (1. FC Nürnberg win 2–1).
The model had projected Hannover 96 at 48.3%, 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 No Yes ✖ Incorrect
- 1X2 Hannover 96 1. FC Nürnberg ✖ Incorrect
- Correct Score Insights 1-1, 1-2, 0-1, 0-2, 2-1 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| 1. FC Nürnberg | 25.9% | 41.5% | -15.6 pp | Market Higher |
| Draw | 25.9% | 23.8% | +2.0 pp | Aligned |
| Hannover 96 | 48.3% | 34.7% | +13.6 pp | Model Edge |
The closing market estimates 1. FC Nürnberg's win probability at 41.5%, compared with the model's estimate of 25.9%, a difference of 15.6 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 result was 1. FC Nürnberg win 2–1.
Market Assessment
The market is materially more optimistic about 1. FC Nürnberg 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 3.08) — 3 goals materialised
- Exact score 2–1 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 Under 2.5; match finished Over 2.5 (3 goals)
Market lesson
The closing market differed from the model on Hannover 96 by 15.6 percentage points (63.9% vs model 48.3%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 11, 2026 · 16:29 UTC Forecast generated
- Model 1X2 · 1. FC Nürnberg 25.9% · Draw 25.8% · Hannover 96 48.3%
- xG · 1. FC Nürnberg 1.28 — Hannover 96 1.80
-
Sep 11, 2026 · 16:01 UTC Opening odds snapshot PRE30
- 1X2 odds · 1. FC Nürnberg 2.33 · Draw 4.06 · Hannover 96 2.79
- Implied 1X2 · 1. FC Nürnberg 41.5% · Draw 23.8% · Hannover 96 34.7%
- Bookmaker · Pinnacle
-
Sep 11, 2026 · 16:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · 1. FC Nürnberg 2.33 · Draw 4.06 · Hannover 96 2.79
- Implied 1X2 · 1. FC Nürnberg 41.5% · Draw 23.8% · Hannover 96 34.7%
- Bookmaker · Pinnacle
-
Sep 11, 2026 · 16:30 UTC Kickoff
-
FT Full-time result 1. FC Nürnberg 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: Warning
- Large market gap (16 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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2. Bundesliga — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | 1. FC Nürnberg | 5 | 4 | 1 | 0 | 13 |
| 2 | Hertha BSC | 4 | 4 | 0 | 0 | 12 |
| 3 | 1. FC Magdeburg | 5 | 3 | 0 | 2 | 9 |
| 4 | 1. FC Heidenheim | 4 | 3 | 0 | 1 | 9 |
| 5 | VfL Wolfsburg | 5 | 2 | 2 | 1 | 8 |
| 6 | 1. FC Kaiserslautern | 5 | 2 | 2 | 1 | 8 |
| 7 | VfL Bochum | 5 | 2 | 1 | 2 | 7 |
| 8 | FC St. Pauli | 5 | 1 | 3 | 1 | 6 |
| 9 | VfL Osnabrück | 4 | 2 | 0 | 2 | 6 |
| 10 | SpVgg Greuther Fürth | 5 | 1 | 2 | 2 | 5 |
| 11 | Karlsruher SC | 4 | 1 | 2 | 1 | 5 |
| 12 | Eintracht Braunschweig | 5 | 1 | 1 | 3 | 4 |
| 13 | Energie Cottbus | 4 | 1 | 1 | 2 | 4 |
| 14 | Arminia Bielefeld | 5 | 1 | 1 | 3 | 4 |
| 15 | Hannover 96 | 5 | 1 | 1 | 3 | 4 |
| 16 | SV Darmstadt 98 | 5 | 1 | 1 | 3 | 4 |
| 17 | Dynamo Dresden | 5 | 1 | 1 | 3 | 4 |
| 18 | Holstein Kiel | 4 | 0 | 3 | 1 | 3 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | 1. FC Nürnberg | 5 | 15 | 6 | +9 | 13 |
| 2 | Hertha BSC | 4 | 12 | 5 | +7 | 12 |
| 3 | Eintracht Braunschweig | 5 | 12 | 12 | 0 | 4 |
| 4 | 1. FC Heidenheim | 4 | 11 | 10 | +1 | 9 |
| 5 | VfL Wolfsburg | 5 | 10 | 7 | +3 | 8 |
| 6 | 1. FC Magdeburg | 5 | 10 | 8 | +2 | 9 |
| 7 | Energie Cottbus | 4 | 10 | 12 | -2 | 4 |
| 8 | SpVgg Greuther Fürth | 5 | 8 | 10 | -2 | 5 |
| 9 | Arminia Bielefeld | 5 | 8 | 10 | -2 | 4 |
| 10 | FC St. Pauli | 5 | 7 | 7 | 0 | 6 |
| 11 | VfL Osnabrück | 4 | 7 | 8 | -1 | 6 |
| 12 | Dynamo Dresden | 5 | 7 | 12 | -5 | 4 |
| 13 | Karlsruher SC | 4 | 6 | 8 | -2 | 5 |
| 14 | Holstein Kiel | 4 | 6 | 8 | -2 | 3 |
| 15 | 1. FC Kaiserslautern | 5 | 5 | 4 | +1 | 8 |
| 16 | Hannover 96 | 5 | 5 | 8 | -3 | 4 |
| 17 | VfL Bochum | 5 | 4 | 4 | 0 | 7 |
| 18 | SV Darmstadt 98 | 5 | 4 | 8 | -4 | 4 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Arminia Bielefeld | 5 | 5.9 | 2.9 | +3.0 | 4 |
| 2 | Hannover 96 | 5 | 6.3 | 4.0 | +2.3 | 4 |
| 3 | VfL Wolfsburg | 5 | 6.0 | 3.7 | +2.3 | 8 |
| 4 | Hertha BSC | 4 | 7.5 | 5.6 | +1.9 | 12 |
| 5 | 1. FC Heidenheim | 4 | 7.7 | 6.0 | +1.7 | 9 |
| 6 | Holstein Kiel | 4 | 5.6 | 4.1 | +1.5 | 3 |
| 7 | FC St. Pauli | 5 | 5.7 | 4.3 | +1.4 | 6 |
| 8 | VfL Bochum | 5 | 3.8 | 2.6 | +1.2 | 7 |
| 9 | Eintracht Braunschweig | 5 | 9.4 | 8.5 | +0.9 | 4 |
| 10 | SpVgg Greuther Fürth | 5 | 6.9 | 7.0 | -0.1 | 5 |
| 11 | 1. FC Kaiserslautern | 5 | 2.6 | 3.2 | -0.6 | 8 |
| 12 | 1. FC Nürnberg | 5 | 4.2 | 5.2 | -1.0 | 13 |
| 13 | Karlsruher SC | 4 | 3.8 | 5.3 | -1.5 | 5 |
| 14 | VfL Osnabrück | 4 | 5.7 | 7.7 | -2.0 | 6 |
| 15 | SV Darmstadt 98 | 5 | 2.0 | 4.3 | -2.3 | 4 |
| 16 | Dynamo Dresden | 5 | 3.4 | 5.8 | -2.4 | 4 |
| 17 | 1. FC Magdeburg | 5 | 4.7 | 7.7 | -3.0 | 9 |
| 18 | Energie Cottbus | 4 | 5.0 | 8.3 | -3.3 | 4 |