AI correctly predicted the Hannover 96 win.
The match finished 0–1, 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 Under 2.5 (1 goals) ✔ Correct
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Hannover 96 Hannover 96 ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-2, 0-2, 1-0 0-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| SV Darmstadt 98 | 26.1% | 31.1% | -5.0 pp | Market Higher |
| Draw | 27.6% | 25.7% | +1.9 pp | Aligned |
| Hannover 96 | 46.3% | 43.2% | +3.1 pp | Aligned |
The closing market estimates SV Darmstadt 98's win probability at 31.1%, compared with the model's estimate of 26.1%, a difference of 5.0 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 (Hannover 96 win 0–1).
Market Assessment
The market and model broadly agree on SV Darmstadt 98. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Hannover 96 attacking xG significantly stronger (1.56 vs 1.06)
- Under 2.5 goals aligned with the xG profile
- Exact score 0–1 fell within the model's highlighted bins
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Hannover 96 higher (51.3% vs model 46.3%, 5.0 pp), but the model's lean was validated (Hannover 96 win 0–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 30, 2026 · 19:16 UTC Forecast generated
- Model 1X2 · SV Darmstadt 98 26.1% · Draw 27.6% · Hannover 96 46.3%
- xG · SV Darmstadt 98 1.06 — Hannover 96 1.56
-
Aug 30, 2026 · 11:01 UTC Opening odds snapshot PRE30
- 1X2 odds · SV Darmstadt 98 3.11 · Draw 3.77 · Hannover 96 2.24
- Implied 1X2 · SV Darmstadt 98 31.1% · Draw 25.7% · Hannover 96 43.2%
- Bookmaker · Pinnacle
-
Aug 30, 2026 · 11:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · SV Darmstadt 98 3.11 · Draw 3.77 · Hannover 96 2.24
- Implied 1X2 · SV Darmstadt 98 31.1% · Draw 25.7% · Hannover 96 43.2%
- Bookmaker · Pinnacle
-
Aug 30, 2026 · 11:30 UTC Kickoff
-
FT Full-time result Hannover 96 win · 0–1
-
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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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 |