The model missed the final outcome (St. Pölten W win 4–3).
The model had projected Young Boys W 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 (7 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Young Boys W St. Pölten W ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 4-3 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| St. Pölten W | 31.0% | 49.0% | -18.0 pp | Market Higher |
| Draw | 29.5% | 22.9% | +6.6 pp | Model Higher |
| Young Boys W | 39.5% | 28.1% | +11.4 pp | Model Edge |
The closing market estimates St. Pölten W's win probability at 49.0%, compared with the model's estimate of 31.0%, a difference of 18.0 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 result was St. Pölten W win 4–3.
Market Assessment
The market is materially more optimistic about St. Pölten 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) — 7 goals materialised
- Both Teams To Score (Yes) matched the full-time result
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (7 goals)
- 1X2: model leaned Young Boys W; match finished St. Pölten W
Market lesson
The closing market differed from the model on Young Boys W by 18.0 percentage points (57.5% vs model 39.5%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 05, 2026 · 15:59 UTC Forecast generated
- Model 1X2 · St. Pölten W 31.0% · Draw 29.5% · Young Boys W 39.5%
- xG · St. Pölten W 1.21 — Young Boys W 1.39
-
Aug 05, 2026 · 15:30 UTC Opening odds snapshot PRE30
- 1X2 odds · St. Pölten W 1.81 · Draw 3.88 · Young Boys W 3.16
- Implied 1X2 · St. Pölten W 49.0% · Draw 22.9% · Young Boys W 28.1%
- Bookmaker · Pinnacle
-
Aug 05, 2026 · 15:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · St. Pölten W 1.81 · Draw 3.88 · Young Boys W 3.16
- Implied 1X2 · St. Pölten W 49.0% · Draw 22.9% · Young Boys W 28.1%
- Bookmaker · Pinnacle
-
Aug 05, 2026 · 16:00 UTC Kickoff
-
FT Full-time result St. Pölten W win · 4–3
-
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: Warning
- Large market gap (18 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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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 |
