AI correctly predicted the Maribor win.
The match finished 3–0, 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 (3 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Maribor Maribor ✔ Correct
- Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 3-0 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Maribor | 47.9% | 65.3% | -17.4 pp | Market Higher |
| Draw | 27.5% | 21.0% | +6.5 pp | Model Higher |
| Brinje-Grosuplje | 24.6% | 13.7% | +10.8 pp | Model Edge |
The closing market estimates Maribor's win probability at 65.3%, compared with the model's estimate of 47.9%, a difference of 17.4 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 (Maribor win 3–0).
Market Assessment
The market is materially more optimistic about Maribor 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) — 3 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 (3 goals)
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Maribor higher (65.3% vs model 47.9%, 17.4 pp), but the model's lean was validated (Maribor win 3–0).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Jul 25, 2026 · 23:14 UTC Forecast generated
- Model 1X2 · Maribor 47.9% · Draw 27.5% · Brinje-Grosuplje 24.6%
- xG · Maribor 1.42 — Brinje-Grosuplje 1.18
-
Jul 25, 2026 · 17:45 UTC Opening odds snapshot PRE30
- 1X2 odds · Maribor 1.45 · Draw 4.51 · Brinje-Grosuplje 6.90
- Implied 1X2 · Maribor 65.3% · Draw 21.0% · Brinje-Grosuplje 13.7%
- Bookmaker · Pinnacle
-
Jul 25, 2026 · 18:14 UTC Closing snapshot recorded PRE1
- 1X2 odds · Maribor 1.45 · Draw 4.51 · Brinje-Grosuplje 6.90
- Implied 1X2 · Maribor 65.3% · Draw 21.0% · Brinje-Grosuplje 13.7%
- Bookmaker · Pinnacle
-
Jul 25, 2026 · 18:15 UTC Kickoff
-
FT Full-time result Maribor win · 3–0
-
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 (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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1. SNL — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Maribor | 10 | 5 | 5 | 0 | 20 |
| 2 | Koper | 10 | 5 | 3 | 2 | 18 |
| 3 | Bravo | 10 | 5 | 3 | 2 | 18 |
| 4 | Olimpija Ljubljana | 10 | 4 | 2 | 4 | 14 |
| 5 | Aluminij | 10 | 3 | 4 | 3 | 13 |
| 6 | Nafta | 10 | 4 | 1 | 5 | 13 |
| 7 | Celje | 9 | 3 | 3 | 3 | 12 |
| 8 | Brinje-Grosuplje | 10 | 3 | 2 | 5 | 11 |
| 9 | Mura | 10 | 2 | 3 | 5 | 9 |
| 10 | Radomlje | 9 | 1 | 2 | 6 | 5 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Maribor | 10 | 19 | 8 | +11 | 20 |
| 2 | Nafta | 10 | 17 | 16 | +1 | 13 |
| 3 | Aluminij | 10 | 16 | 11 | +5 | 13 |
| 4 | Brinje-Grosuplje | 10 | 14 | 18 | -4 | 11 |
| 5 | Bravo | 10 | 12 | 10 | +2 | 18 |
| 6 | Koper | 10 | 11 | 8 | +3 | 18 |
| 7 | Celje | 9 | 11 | 11 | 0 | 12 |
| 8 | Olimpija Ljubljana | 10 | 10 | 8 | +2 | 14 |
| 9 | Mura | 10 | 10 | 21 | -11 | 9 |
| 10 | Radomlje | 9 | 9 | 18 | -9 | 5 |
