The model missed the final outcome (FC Augsburg win 2–3).
The model had projected VfL Wolfsburg at 37.2%, 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 Over 2.5 (5 goals) ✔ Correct
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 VfL Wolfsburg FC Augsburg ✖ Incorrect
- Correct Score Insights 1-1, 2-1, 1-2, 2-2, 1-0 2-3 ✖ Incorrect
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 3.21) — 5 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Over 2.5 goals aligned with the xG profile
What failed
- 1X2: model leaned VfL Wolfsburg; match finished FC Augsburg
- Exact score: outside the model's top score bins
Market lesson
The full-time result was FC Augsburg win 2–3, which did not match the model's pre-match lean on 1X2.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Before kickoff Forecast generated
- xG · VfL Wolfsburg 1.61 — FC Augsburg 1.60
-
Feb 21, 2026 · 14:30 UTC Kickoff
-
FT Full-time result FC Augsburg win · 2–3
-
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: Pending
- No strong statistical edge
- Market has already priced much of the edge
- Validation pending
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.
Explore More Predictions Content
Get Premium Predictions for VfL Wolfsburg & FC Augsburg!
Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.
Subscribe Now
Bundesliga — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Bayern München | 34 | 28 | 5 | 1 | 89 |
| 2 | Borussia Dortmund | 34 | 22 | 7 | 5 | 73 |
| 3 | RB Leipzig | 34 | 20 | 5 | 9 | 65 |
| 4 | VfB Stuttgart | 34 | 18 | 8 | 8 | 62 |
| 5 | 1899 Hoffenheim | 34 | 18 | 7 | 9 | 61 |
| 6 | Bayer Leverkusen | 34 | 17 | 8 | 9 | 59 |
| 7 | SC Freiburg | 34 | 13 | 8 | 13 | 47 |
| 8 | Eintracht Frankfurt | 34 | 11 | 11 | 12 | 44 |
| 9 | FC Augsburg | 34 | 12 | 7 | 15 | 43 |
| 10 | FSV Mainz 05 | 34 | 10 | 10 | 14 | 40 |
| 11 | Union Berlin | 34 | 10 | 9 | 15 | 39 |
| 12 | Borussia Mönchengladbach | 34 | 9 | 11 | 14 | 38 |
| 13 | Hamburger SV | 34 | 9 | 11 | 14 | 38 |
| 14 | 1.FC Köln | 34 | 7 | 11 | 16 | 32 |
| 15 | Werder Bremen | 34 | 8 | 8 | 18 | 32 |
| 16 | VfL Wolfsburg | 34 | 7 | 8 | 19 | 29 |
| 17 | 1. FC Heidenheim | 34 | 6 | 8 | 20 | 26 |
| 18 | FC St. Pauli | 34 | 6 | 8 | 20 | 26 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Bayern München | 34 | 122 | 36 | +86 | 89 |
| 2 | VfB Stuttgart | 34 | 71 | 49 | +22 | 62 |
| 3 | Borussia Dortmund | 34 | 70 | 34 | +36 | 73 |
| 4 | Bayer Leverkusen | 34 | 68 | 47 | +21 | 59 |
| 5 | RB Leipzig | 34 | 66 | 47 | +19 | 65 |
| 6 | 1899 Hoffenheim | 34 | 65 | 52 | +13 | 61 |
| 7 | Eintracht Frankfurt | 34 | 61 | 65 | -4 | 44 |
| 8 | SC Freiburg | 34 | 51 | 57 | -6 | 47 |
| 9 | 1.FC Köln | 34 | 49 | 63 | -14 | 32 |
| 10 | FC Augsburg | 34 | 45 | 61 | -16 | 43 |
| 11 | VfL Wolfsburg | 34 | 45 | 69 | -24 | 29 |
| 12 | FSV Mainz 05 | 34 | 44 | 53 | -9 | 40 |
| 13 | Union Berlin | 34 | 44 | 58 | -14 | 39 |
| 14 | Borussia Mönchengladbach | 34 | 42 | 53 | -11 | 38 |
| 15 | 1. FC Heidenheim | 34 | 41 | 72 | -31 | 26 |
| 16 | Hamburger SV | 34 | 40 | 54 | -14 | 38 |
| 17 | Werder Bremen | 34 | 37 | 60 | -23 | 32 |
| 18 | FC St. Pauli | 34 | 29 | 60 | -31 | 26 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Bayern München | 34 | 97.2 | 37.9 | +59.3 | 89 |
| 2 | Borussia Dortmund | 34 | 63.4 | 38.9 | +24.5 | 73 |
| 3 | Bayer Leverkusen | 34 | 64.0 | 44.8 | +19.2 | 59 |
| 4 | RB Leipzig | 34 | 66.3 | 50.2 | +16.1 | 65 |
| 5 | VfB Stuttgart | 34 | 60.1 | 49.8 | +10.3 | 62 |
| 6 | 1899 Hoffenheim | 34 | 55.1 | 51.4 | +3.7 | 61 |
| 7 | SC Freiburg | 34 | 48.6 | 47.8 | +0.8 | 47 |
| 8 | FSV Mainz 05 | 34 | 52.9 | 54.6 | -1.7 | 40 |
| 9 | 1.FC Köln | 34 | 50.9 | 54.9 | -4.0 | 32 |
| 10 | Eintracht Frankfurt | 34 | 45.4 | 50.1 | -4.7 | 44 |
| 11 | Union Berlin | 34 | 44.9 | 52.2 | -7.3 | 39 |
| 12 | Borussia Mönchengladbach | 34 | 42.7 | 52.5 | -9.8 | 38 |
| 13 | Werder Bremen | 34 | 40.4 | 54.3 | -13.9 | 32 |
| 14 | VfL Wolfsburg | 34 | 47.1 | 61.8 | -14.7 | 29 |
| 15 | 1. FC Heidenheim | 34 | 47.5 | 63.4 | -15.9 | 26 |
| 16 | FC Augsburg | 34 | 45.2 | 62.6 | -17.4 | 43 |
| 17 | Hamburger SV | 34 | 38.3 | 56.9 | -18.6 | 38 |
| 18 | FC St. Pauli | 34 | 30.5 | 56.2 | -25.7 | 26 |