The model missed the final outcome (1. FC Nürnberg win 3–0).
The model had projected FC Schalke 04 at 39.5%, 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 No ✔ Correct
- 1X2 FC Schalke 04 1. FC Nürnberg ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-0 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| 1. FC Nürnberg | 31.0% | 48.4% | -17.3 pp | Market Higher |
| Draw | 29.5% | 24.4% | +5.1 pp | Model Higher |
| FC Schalke 04 | 39.5% | 27.3% | +12.2 pp | Model Edge |
The closing market estimates 1. FC Nürnberg's win probability at 48.4%, compared with the model's estimate of 31.0%, a difference of 17.3 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 3–0.
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 2.60) — 3 goals materialised
- Both Teams To Score (No) matched the full-time result
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
- 1X2: model leaned FC Schalke 04; match finished 1. FC Nürnberg
Market lesson
The closing market differed from the model on FC Schalke 04 by 17.3 percentage points (56.8% vs model 39.5%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
May 08, 2026 · 11:29 UTC Forecast generated
- Model 1X2 · 1. FC Nürnberg 31.0% · Draw 29.5% · FC Schalke 04 39.5%
- xG · 1. FC Nürnberg 1.21 — FC Schalke 04 1.39
-
May 08, 2026 · 10:59 UTC Opening odds snapshot PRE30
- 1X2 odds · 1. FC Nürnberg 1.95 · Draw 3.87 · FC Schalke 04 3.46
- Implied 1X2 · 1. FC Nürnberg 48.4% · Draw 24.4% · FC Schalke 04 27.3%
- Bookmaker · Pinnacle
-
May 08, 2026 · 11:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · 1. FC Nürnberg 1.95 · Draw 3.87 · FC Schalke 04 3.46
- Implied 1X2 · 1. FC Nürnberg 48.4% · Draw 24.4% · FC Schalke 04 27.3%
- Bookmaker · Pinnacle
-
May 09, 2026 · 18:30 UTC Kickoff
-
FT Full-time result 1. FC Nürnberg win · 3–0
-
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 (17 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 | FC Schalke 04 | 34 | 21 | 7 | 6 | 70 |
| 2 | SV Elversberg | 34 | 18 | 8 | 8 | 62 |
| 3 | SC Paderborn 07 | 34 | 18 | 8 | 8 | 62 |
| 4 | Hannover 96 | 34 | 16 | 12 | 6 | 60 |
| 5 | SV Darmstadt 98 | 34 | 13 | 13 | 8 | 52 |
| 6 | 1. FC Kaiserslautern | 34 | 16 | 4 | 14 | 52 |
| 7 | Hertha BSC | 34 | 14 | 9 | 11 | 51 |
| 8 | 1. FC Nürnberg | 34 | 12 | 10 | 12 | 46 |
| 9 | VfL Bochum | 34 | 11 | 11 | 12 | 44 |
| 10 | Karlsruher SC | 34 | 12 | 8 | 14 | 44 |
| 11 | Dynamo Dresden | 34 | 11 | 8 | 15 | 41 |
| 12 | Holstein Kiel | 34 | 11 | 8 | 15 | 41 |
| 13 | Arminia Bielefeld | 34 | 10 | 9 | 15 | 39 |
| 14 | 1. FC Magdeburg | 34 | 12 | 3 | 19 | 39 |
| 15 | Eintracht Braunschweig | 34 | 10 | 7 | 17 | 37 |
| 16 | SpVgg Greuther Fürth | 34 | 10 | 7 | 17 | 37 |
| 17 | Fortuna Düsseldorf | 34 | 11 | 4 | 19 | 37 |
| 18 | Preußen Münster | 34 | 6 | 12 | 16 | 30 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | SV Elversberg | 34 | 64 | 39 | +25 | 62 |
| 2 | Hannover 96 | 34 | 60 | 44 | +16 | 60 |
| 3 | SC Paderborn 07 | 34 | 59 | 45 | +14 | 62 |
| 4 | SV Darmstadt 98 | 34 | 57 | 45 | +12 | 52 |
| 5 | Dynamo Dresden | 34 | 54 | 53 | +1 | 41 |
| 6 | Arminia Bielefeld | 34 | 53 | 51 | +2 | 39 |
| 7 | Karlsruher SC | 34 | 53 | 64 | -11 | 44 |
| 8 | 1. FC Kaiserslautern | 34 | 52 | 47 | +5 | 52 |
| 9 | 1. FC Magdeburg | 34 | 52 | 58 | -6 | 39 |
| 10 | FC Schalke 04 | 34 | 50 | 31 | +19 | 70 |
| 11 | VfL Bochum | 34 | 49 | 47 | +2 | 44 |
| 12 | SpVgg Greuther Fürth | 34 | 49 | 68 | -19 | 37 |
| 13 | Hertha BSC | 34 | 47 | 44 | +3 | 51 |
| 14 | 1. FC Nürnberg | 34 | 47 | 45 | +2 | 46 |
| 15 | Holstein Kiel | 34 | 44 | 48 | -4 | 41 |
| 16 | Preußen Münster | 34 | 38 | 61 | -23 | 30 |
| 17 | Eintracht Braunschweig | 34 | 36 | 54 | -18 | 37 |
| 18 | Fortuna Düsseldorf | 34 | 33 | 53 | -20 | 37 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | FC Schalke 04 | 34 | 51.0 | 30.4 | +20.6 | 70 |
| 2 | SC Paderborn 07 | 34 | 58.1 | 38.1 | +20.0 | 62 |
| 3 | Hannover 96 | 34 | 55.4 | 38.5 | +16.9 | 60 |
| 4 | SV Elversberg | 34 | 54.6 | 37.8 | +16.8 | 62 |
| 5 | 1. FC Magdeburg | 34 | 52.6 | 45.9 | +6.7 | 39 |
| 6 | Arminia Bielefeld | 34 | 50.3 | 46.2 | +4.1 | 39 |
| 7 | VfL Bochum | 34 | 51.9 | 48.6 | +3.3 | 44 |
| 8 | 1. FC Nürnberg | 34 | 46.2 | 44.2 | +2.0 | 46 |
| 9 | SV Darmstadt 98 | 34 | 52.1 | 51.8 | +0.3 | 52 |
| 10 | 1. FC Kaiserslautern | 34 | 46.7 | 47.1 | -0.4 | 52 |
| 11 | Dynamo Dresden | 34 | 43.2 | 43.9 | -0.7 | 41 |
| 12 | Hertha BSC | 34 | 44.7 | 51.4 | -6.7 | 51 |
| 13 | Fortuna Düsseldorf | 34 | 40.3 | 49.4 | -9.1 | 37 |
| 14 | Eintracht Braunschweig | 34 | 36.7 | 48.1 | -11.4 | 37 |
| 15 | SpVgg Greuther Fürth | 34 | 39.4 | 51.4 | -12.0 | 37 |
| 16 | Holstein Kiel | 34 | 41.0 | 53.1 | -12.1 | 41 |
| 17 | Preußen Münster | 34 | 36.7 | 55.9 | -19.2 | 30 |
| 18 | Karlsruher SC | 34 | 42.5 | 61.9 | -19.4 | 44 |