AI correctly predicted the Skalica 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 Skalica Skalica ✔ Correct
- Correct Score Insights 2-1, 1-1, 2-0, 1-0, 3-1 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Skalica | 53.5% | 39.7% | +13.8 pp | Model Edge |
| Draw | 23.3% | 30.4% | -7.1 pp | Market Higher |
| Ružomberok | 23.2% | 29.9% | -6.7 pp | Market Higher |
The statistical model estimates Skalica's win probability at 53.5%, compared with the closing market's implied probability of 39.7%, a difference of 13.8 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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: PRE5.
After full time, the model's directional lean matched the result (Skalica win 2–1).
Market Assessment
The statistical fair estimate is materially higher than the market on Skalica.
- The model may see a slower-scoring or closer matchup than the market.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 3.45) — 3 goals materialised
- Skalica attacking xG significantly stronger (2.10 vs 1.35)
- Both Teams To Score (Yes) matched the full-time result
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Skalica more conservatively (39.7% vs model 53.5%, 13.8 pp), but the model's lean was validated (Skalica win 2–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 01, 2026 · 15:57 UTC Forecast generated
- Model 1X2 · Skalica 53.5% · Draw 23.3% · Ružomberok 23.2%
- xG · Skalica 2.10 — Ružomberok 1.35
-
Aug 01, 2026 · 15:32 UTC Opening odds snapshot PRE30
- 1X2 odds · Skalica 2.40 · Draw 3.13 · Ružomberok 3.19
- Implied 1X2 · Skalica 39.7% · Draw 30.4% · Ružomberok 29.9%
- Bookmaker · Pinnacle
-
Aug 01, 2026 · 15:57 UTC Closing snapshot recorded PRE5
- 1X2 odds · Skalica 2.40 · Draw 3.13 · Ružomberok 3.19
- Implied 1X2 · Skalica 39.7% · Draw 30.4% · Ružomberok 29.9%
- Bookmaker · Pinnacle
-
Aug 01, 2026 · 16:00 UTC Kickoff
-
FT Full-time result Skalica 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 (14 pp)
- High xG deviation from league baseline (56%+)
- Statistical edge detected
- Market has already priced much of the edge
- 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 Skalica & Ružomberok!
Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.
Subscribe Now
Super Liga — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Dunajska Streda | 8 | 6 | 2 | 0 | 20 |
| 2 | Žilina | 9 | 6 | 2 | 1 | 20 |
| 3 | Spartak Trnava | 9 | 5 | 3 | 1 | 18 |
| 4 | Slovan Bratislava | 8 | 5 | 1 | 2 | 16 |
| 5 | Podbrezová | 9 | 4 | 2 | 3 | 14 |
| 6 | Zemplín Michalovce | 9 | 4 | 1 | 4 | 13 |
| 7 | FK Košice | 8 | 3 | 3 | 2 | 12 |
| 8 | Skalica | 9 | 2 | 2 | 5 | 8 |
| 9 | Dukla Banská Bystrica | 9 | 2 | 1 | 6 | 7 |
| 10 | Komárno | 9 | 0 | 5 | 4 | 5 |
| 11 | AS Trencin | 8 | 1 | 2 | 5 | 5 |
| 12 | Ružomberok | 9 | 1 | 2 | 6 | 5 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Dunajska Streda | 8 | 25 | 5 | +20 | 20 |
| 2 | Žilina | 9 | 23 | 17 | +6 | 20 |
| 3 | Spartak Trnava | 9 | 21 | 10 | +11 | 18 |
| 4 | FK Košice | 8 | 21 | 18 | +3 | 12 |
| 5 | Slovan Bratislava | 8 | 20 | 9 | +11 | 16 |
| 6 | Podbrezová | 9 | 13 | 16 | -3 | 14 |
| 7 | Skalica | 9 | 11 | 19 | -8 | 8 |
| 8 | AS Trencin | 8 | 10 | 20 | -10 | 5 |
| 9 | Zemplín Michalovce | 9 | 9 | 11 | -2 | 13 |
| 10 | Dukla Banská Bystrica | 9 | 9 | 21 | -12 | 7 |
| 11 | Komárno | 9 | 8 | 14 | -6 | 5 |
| 12 | Ružomberok | 9 | 8 | 18 | -10 | 5 |
