AI correctly predicted the Austria Wien W win.
The match finished 4–0, 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 Under 2.5 Over 2.5 (4 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Austria Wien W Austria Wien W ✔ Correct
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 4-0 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Austria Wien W | 37.1% | 26.7% | +10.4 pp | Model Edge |
| Draw | 29.6% | 24.1% | +5.5 pp | Model Higher |
| Brann W | 33.3% | 49.2% | -15.9 pp | Market Higher |
The closing market estimates Brann W's win probability at 49.2%, compared with the model's estimate of 33.3%, a difference of 15.9 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 (Austria Wien W win 4–0).
Market Assessment
The market is materially more optimistic about Brann W 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) — 4 goals materialised
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Austria Wien W higher (53.0% vs model 37.1%, 15.9 pp), but the model's lean was validated (Austria Wien W win 4–0).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 01, 2026 · 15:59 UTC Forecast generated
- Model 1X2 · Austria Wien W 37.0% · Draw 29.6% · Brann W 33.4%
- xG · Austria Wien W 1.34 — Brann W 1.26
-
Sep 01, 2026 · 15:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Austria Wien W 3.41 · Draw 3.78 · Brann W 1.85
- Implied 1X2 · Austria Wien W 26.7% · Draw 24.1% · Brann W 49.2%
- Bookmaker · Pinnacle
-
Sep 01, 2026 · 15:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Austria Wien W 3.41 · Draw 3.78 · Brann W 1.85
- Implied 1X2 · Austria Wien W 26.7% · Draw 24.1% · Brann W 49.2%
- Bookmaker · Pinnacle
-
Sep 01, 2026 · 16:00 UTC Kickoff
-
FT Full-time result Austria Wien W win · 4–0
-
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.
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.
Explore More Predictions Content
Get Premium Predictions for Austria Wien W & Brann W!
Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.
Subscribe Now
UEFA Champions League Women — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Lyon W | 1 | 1 | 0 | 0 | 3 |
| 2 | Barcelona W | 1 | 1 | 0 | 0 | 3 |
| 3 | SL Benfica | 1 | 1 | 0 | 0 | 3 |
| 4 | Arsenal W | 1 | 1 | 0 | 0 | 3 |
| 5 | Chelsea W | 1 | 1 | 0 | 0 | 3 |
| 6 | Inter Milano W | 1 | 1 | 0 | 0 | 3 |
| 7 | Manchester City W | 1 | 0 | 1 | 0 | 1 |
| 8 | Bayern Munich W | 1 | 0 | 1 | 0 | 1 |
| 9 | Paris Saint Germain W | 1 | 0 | 1 | 0 | 1 |
| 10 | Real Madrid W | 1 | 0 | 1 | 0 | 1 |
| 11 | OH Leuven W | 1 | 0 | 1 | 0 | 1 |
| 12 | Roma W | 1 | 0 | 1 | 0 | 1 |
| 13 | Juventus W | 1 | 0 | 0 | 1 | 0 |
| 14 | Austria Wien W | 1 | 0 | 0 | 1 | 0 |
| 15 | Häcken | 1 | 0 | 0 | 1 | 0 |
| 16 | Køge | 1 | 0 | 0 | 1 | 0 |
| 17 | Paris FC W | 1 | 0 | 0 | 1 | 0 |
| 18 | Servette Chênois W | 1 | 0 | 0 | 1 | 0 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Lyon W | 1 | 8 | 0 | +8 | 3 |
| 2 | Barcelona W | 1 | 5 | 2 | +3 | 3 |
| 3 | SL Benfica | 1 | 2 | 1 | +1 | 3 |
| 4 | Manchester City W | 1 | 2 | 2 | 0 | 1 |
| 5 | Bayern Munich W | 1 | 2 | 2 | 0 | 1 |
| 6 | Paris FC W | 1 | 2 | 5 | -3 | 0 |
| 7 | Arsenal W | 1 | 1 | 0 | +1 | 3 |
| 8 | Chelsea W | 1 | 1 | 0 | +1 | 3 |
| 9 | Inter Milano W | 1 | 1 | 0 | +1 | 3 |
| 10 | Paris Saint Germain W | 1 | 1 | 1 | 0 | 1 |
| 11 | Real Madrid W | 1 | 1 | 1 | 0 | 1 |
| 12 | Juventus W | 1 | 1 | 2 | -1 | 0 |
| 13 | OH Leuven W | 1 | 0 | 0 | 0 | 1 |
| 14 | Roma W | 1 | 0 | 0 | 0 | 1 |
| 15 | Austria Wien W | 1 | 0 | 1 | -1 | 0 |
| 16 | Häcken | 1 | 0 | 1 | -1 | 0 |
| 17 | Køge | 1 | 0 | 1 | -1 | 0 |
| 18 | Servette Chênois W | 1 | 0 | 8 | -8 | 0 |
