AI correctly predicted the Petržalka win.
The match finished 2–1, 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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Petržalka Petržalka ✔ Correct
- Correct Score Insights 1-1, 2-1, 1-2, 1-0, 0-1 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Petržalka | 41.8% | 29.1% | +12.7 pp | Model Edge |
| Draw | 25.7% | 22.3% | +3.4 pp | Aligned |
| Liptovský Mikuláš | 32.6% | 48.6% | -16.1 pp | Market Higher |
The closing market estimates Liptovský Mikuláš's win probability at 48.6%, compared with the model's estimate of 32.6%, a difference of 16.1 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 (Petržalka win 2–1).
Market Assessment
The market is materially more optimistic about Liptovský Mikuláš 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 2.70) — 3 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Over 2.5 goals aligned with the xG profile
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Petržalka higher (57.8% vs model 41.8%, 16.1 pp), but the model's lean was validated (Petržalka win 2–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
May 15, 2026 · 14:59 UTC Forecast generated
- Model 1X2 · Petržalka 41.8% · Draw 25.7% · Liptovský Mikuláš 32.6%
- xG · Petržalka 1.45 — Liptovský Mikuláš 1.25
-
May 15, 2026 · 14:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Petržalka 3.06 · Draw 3.99 · Liptovský Mikuláš 1.83
- Implied 1X2 · Petržalka 29.1% · Draw 22.3% · Liptovský Mikuláš 48.6%
- Bookmaker · Pinnacle
-
May 15, 2026 · 14:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Petržalka 3.06 · Draw 3.99 · Liptovský Mikuláš 1.83
- Implied 1X2 · Petržalka 29.1% · Draw 22.3% · Liptovský Mikuláš 48.6%
- Bookmaker · Pinnacle
-
May 15, 2026 · 15:00 UTC Kickoff
-
FT Full-time result Petržalka win · 2–1
-
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 (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.
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2. liga — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Dukla Banská Bystrica | 30 | 20 | 6 | 4 | 66 |
| 2 | Lokomotíva Zvolen | 30 | 13 | 10 | 7 | 49 |
| 3 | Liptovský Mikuláš | 30 | 13 | 9 | 8 | 48 |
| 4 | Petržalka | 30 | 14 | 6 | 10 | 48 |
| 5 | Malženice | 30 | 13 | 8 | 9 | 47 |
| 6 | Pohronie | 30 | 11 | 11 | 8 | 44 |
| 7 | Zlaté Moravce | 30 | 12 | 8 | 10 | 44 |
| 8 | Inter Bratislava | 30 | 12 | 6 | 12 | 42 |
| 9 | Slovan Bratislava II | 30 | 10 | 10 | 10 | 40 |
| 10 | Šamorín | 30 | 10 | 8 | 12 | 38 |
| 11 | Baník Lehota p.Vtáčnikom | 30 | 9 | 8 | 13 | 35 |
| 12 | Považská Bystrica | 30 | 8 | 9 | 13 | 33 |
| 13 | Žilina II | 30 | 9 | 6 | 15 | 33 |
| 14 | Slávia TU Košice | 30 | 8 | 8 | 14 | 32 |
| 15 | Púchov | 30 | 6 | 11 | 13 | 29 |
| 16 | Stará Ľubovňa | 30 | 6 | 8 | 16 | 26 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Dukla Banská Bystrica | 30 | 61 | 25 | +36 | 66 |
| 2 | Zlaté Moravce | 30 | 57 | 49 | +8 | 44 |
| 3 | Liptovský Mikuláš | 30 | 55 | 47 | +8 | 48 |
| 4 | Pohronie | 30 | 47 | 35 | +12 | 44 |
| 5 | Lokomotíva Zvolen | 30 | 46 | 36 | +10 | 49 |
| 6 | Petržalka | 30 | 45 | 31 | +14 | 48 |
| 7 | Slovan Bratislava II | 30 | 45 | 48 | -3 | 40 |
| 8 | Malženice | 30 | 44 | 38 | +6 | 47 |
| 9 | Šamorín | 30 | 44 | 46 | -2 | 38 |
| 10 | Žilina II | 30 | 43 | 59 | -16 | 33 |
| 11 | Baník Lehota p.Vtáčnikom | 30 | 41 | 52 | -11 | 35 |
| 12 | Považská Bystrica | 30 | 38 | 49 | -11 | 33 |
| 13 | Slávia TU Košice | 30 | 38 | 54 | -16 | 32 |
| 14 | Inter Bratislava | 30 | 35 | 36 | -1 | 42 |
| 15 | Stará Ľubovňa | 30 | 35 | 52 | -17 | 26 |
| 16 | Púchov | 30 | 33 | 50 | -17 | 29 |