AI correctly predicted the PAOK W win.
The match finished 3–1, 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 Over 2.5 (4 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 PAOK W PAOK W ✔ Correct
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-1 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| PAOK W | 35.6% | 52.5% | -16.8 pp | Market Higher |
| Draw | 29.6% | 23.9% | +5.8 pp | Model Higher |
| Hapoel Jerusalem W | 34.7% | 23.6% | +11.1 pp | Model Edge |
The closing market estimates PAOK W's win probability at 52.5%, compared with the model's estimate of 35.6%, a difference of 16.8 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 (PAOK W win 3–1).
Market Assessment
The market is materially more optimistic about PAOK 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
- 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 (4 goals)
- 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 PAOK W higher (52.4% vs model 35.6%, 16.8 pp), but the model's lean was validated (PAOK W win 3–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Jul 22, 2026 · 19:29 UTC Forecast generated
- Model 1X2 · PAOK W 35.6% · Draw 29.7% · Hapoel Jerusalem W 34.7%
- xG · PAOK W 1.31 — Hapoel Jerusalem W 1.29
-
Jul 22, 2026 · 15:00 UTC Opening odds snapshot PRE30
- 1X2 odds · PAOK W 1.69 · Draw 3.71 · Hapoel Jerusalem W 3.75
- Implied 1X2 · PAOK W 52.5% · Draw 23.9% · Hapoel Jerusalem W 23.6%
- Bookmaker · Pinnacle
-
Jul 22, 2026 · 15:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · PAOK W 1.69 · Draw 3.71 · Hapoel Jerusalem W 3.75
- Implied 1X2 · PAOK W 52.5% · Draw 23.9% · Hapoel Jerusalem W 23.6%
- Bookmaker · Pinnacle
-
Jul 22, 2026 · 15:30 UTC Kickoff
-
FT Full-time result PAOK W win · 3–1
-
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: Warning
- Large market gap (17 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 |
