AI correctly predicted the Borussia Dortmund win.
The match finished 3–0, 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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Borussia Dortmund Borussia Dortmund ✔ Correct
- Correct Score Insights 1-1, 2-1, 1-2, 2-2, 1-0 3-0 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Borussia Dortmund | 46.4% | 75.7% | -29.3 pp | Market Higher |
| Draw | 24.4% | 14.5% | +9.9 pp | Model Higher |
| SC Paderborn 07 | 29.1% | 9.8% | +19.4 pp | Model Edge |
The closing market estimates Borussia Dortmund's win probability at 75.7%, compared with the model's estimate of 46.4%, a difference of 29.3 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 model's directional lean matched the result (Borussia Dortmund win 3–0).
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 3.44) — 3 goals materialised
- Borussia Dortmund attacking xG significantly stronger (1.93 vs 1.51)
- Over 2.5 goals aligned with the xG profile
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- 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 Borussia Dortmund higher (75.7% vs model 46.4%, 29.3 pp), but the model's lean was validated (Borussia Dortmund win 3–0).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 12, 2026 · 19:29 UTC Forecast generated
- Model 1X2 · Borussia Dortmund 46.5% · Draw 24.4% · SC Paderborn 07 29.1%
- xG · Borussia Dortmund 1.93 — SC Paderborn 07 1.51
-
Sep 12, 2026 · 13:06 UTC Opening odds snapshot PRE30
- 1X2 odds · Borussia Dortmund 1.23 · Draw 7.02 · SC Paderborn 07 10.95
- Implied 1X2 · Borussia Dortmund 77.7% · Draw 13.6% · SC Paderborn 07 8.7%
- Bookmaker · Pinnacle
-
Sep 12, 2026 · 13:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Borussia Dortmund 1.27 · Draw 6.62 · SC Paderborn 07 9.81
- Implied 1X2 · Borussia Dortmund 75.7% · Draw 14.5% · SC Paderborn 07 9.8%
- Bookmaker · Pinnacle
-
Sep 12, 2026 · 13:30 UTC Kickoff
-
FT Full-time result Borussia Dortmund win · 3–0
-
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.
Historical label: Originally displayed as "Wait for validation".
Pre-match metrics (historical context)
- Validation: Warning
- Large market gap (29 pp)
- No strong statistical edge
- Market strongly disagrees on price
- 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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Bundesliga — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Borussia Dortmund | 4 | 4 | 0 | 0 | 12 |
| 2 | Bayern München | 4 | 3 | 1 | 0 | 10 |
| 3 | SC Freiburg | 4 | 3 | 1 | 0 | 10 |
| 4 | FC Augsburg | 4 | 2 | 1 | 1 | 7 |
| 5 | Bayer Leverkusen | 4 | 2 | 1 | 1 | 7 |
| 6 | FSV Mainz 05 | 4 | 2 | 1 | 1 | 7 |
| 7 | SV Elversberg | 4 | 2 | 1 | 1 | 7 |
| 8 | Werder Bremen | 4 | 2 | 1 | 1 | 7 |
| 9 | RB Leipzig | 4 | 2 | 0 | 2 | 6 |
| 10 | Eintracht Frankfurt | 4 | 1 | 2 | 1 | 5 |
| 11 | FC Schalke 04 | 4 | 1 | 2 | 1 | 5 |
| 12 | SC Paderborn 07 | 4 | 1 | 1 | 2 | 4 |
| 13 | 1.FC Köln | 4 | 1 | 1 | 2 | 4 |
| 14 | 1899 Hoffenheim | 4 | 1 | 0 | 3 | 3 |
| 15 | VfB Stuttgart | 4 | 1 | 0 | 3 | 3 |
| 16 | Hamburger SV | 4 | 1 | 0 | 3 | 3 |
| 17 | Union Berlin | 4 | 0 | 1 | 3 | 1 |
| 18 | Borussia Mönchengladbach | 4 | 0 | 0 | 4 | 0 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Bayern München | 4 | 14 | 2 | +12 | 10 |
| 2 | SC Freiburg | 4 | 12 | 3 | +9 | 10 |
| 3 | FC Augsburg | 4 | 11 | 6 | +5 | 7 |
| 4 | Bayer Leverkusen | 4 | 10 | 5 | +5 | 7 |
| 5 | FSV Mainz 05 | 4 | 10 | 6 | +4 | 7 |
| 6 | Borussia Dortmund | 4 | 9 | 2 | +7 | 12 |
| 7 | RB Leipzig | 4 | 9 | 5 | +4 | 6 |
| 8 | Eintracht Frankfurt | 4 | 9 | 10 | -1 | 5 |
| 9 | SV Elversberg | 4 | 8 | 7 | +1 | 7 |
| 10 | Werder Bremen | 4 | 8 | 8 | 0 | 7 |
| 11 | 1899 Hoffenheim | 4 | 7 | 10 | -3 | 3 |
| 12 | 1.FC Köln | 4 | 6 | 9 | -3 | 4 |
| 13 | VfB Stuttgart | 4 | 6 | 9 | -3 | 3 |
| 14 | Borussia Mönchengladbach | 4 | 6 | 16 | -10 | 0 |
| 15 | Union Berlin | 4 | 4 | 17 | -13 | 1 |
| 16 | FC Schalke 04 | 4 | 3 | 4 | -1 | 5 |
| 17 | SC Paderborn 07 | 4 | 3 | 5 | -2 | 4 |
| 18 | Hamburger SV | 4 | 2 | 13 | -11 | 3 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | RB Leipzig | 4 | 4.0 | 0.9 | +3.1 | 6 |
| 2 | Bayern München | 4 | 3.9 | 0.9 | +3.0 | 10 |
| 3 | SC Freiburg | 4 | 1.9 | 0.5 | +1.4 | 10 |
| 4 | FC Augsburg | 4 | 4.7 | 3.8 | +0.9 | 7 |
| 5 | Bayer Leverkusen | 4 | 1.9 | 1.1 | +0.8 | 7 |
| 6 | Borussia Dortmund | 4 | 1.4 | 0.7 | +0.7 | 12 |
| 7 | Eintracht Frankfurt | 4 | 3.6 | 3.0 | +0.6 | 5 |
| 8 | Union Berlin | 4 | 1.9 | 1.4 | +0.5 | 1 |
| 9 | FSV Mainz 05 | 4 | 1.2 | 0.8 | +0.4 | 7 |
| 10 | 1899 Hoffenheim | 4 | 1.8 | 1.7 | +0.1 | 3 |
| 11 | 1.FC Köln | 4 | 1.7 | 1.8 | -0.1 | 4 |
| 12 | SC Paderborn 07 | 4 | 0.8 | 1.2 | -0.4 | 4 |
| 13 | Hamburger SV | 4 | 0.7 | 1.4 | -0.7 | 3 |
| 14 | SV Elversberg | 4 | 1.1 | 1.9 | -0.8 | 7 |
| 15 | Werder Bremen | 4 | 0.5 | 1.9 | -1.4 | 7 |
| 16 | FC Schalke 04 | 4 | 1.5 | 3.5 | -2.0 | 5 |
| 17 | VfB Stuttgart | 4 | 0.9 | 3.9 | -3.0 | 3 |
| 18 | Borussia Mönchengladbach | 4 | 0.9 | 4.0 | -3.1 | 0 |