AI correctly predicted the Olimpija Ljubljana 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 Olimpija Ljubljana Olimpija Ljubljana ✔ 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 |
|---|---|---|---|---|
| Olimpija Ljubljana | 41.4% | 55.4% | -14.0 pp | Market Higher |
| Draw | 29.4% | 24.8% | +4.6 pp | Aligned |
| Brinje-Grosuplje | 29.2% | 19.8% | +9.4 pp | Model Higher |
The closing market estimates Olimpija Ljubljana's win probability at 55.4%, compared with the model's estimate of 41.4%, a difference of 14.0 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 model's directional lean matched the result (Olimpija Ljubljana win 3–0).
Market Assessment
The market is materially more optimistic about Olimpija Ljubljana 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 Olimpija Ljubljana higher (55.4% vs model 41.4%, 14.0 pp), but the model's lean was validated (Olimpija Ljubljana win 3–0).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 05, 2026 · 18:14 UTC Forecast generated
- Model 1X2 · Olimpija Ljubljana 41.4% · Draw 29.4% · Brinje-Grosuplje 29.3%
- xG · Olimpija Ljubljana 1.43 — Brinje-Grosuplje 1.17
-
Sep 05, 2026 · 17:44 UTC Opening odds snapshot PRE30
- 1X2 odds · Olimpija Ljubljana 1.71 · Draw 3.83 · Brinje-Grosuplje 4.78
- Implied 1X2 · Olimpija Ljubljana 55.4% · Draw 24.8% · Brinje-Grosuplje 19.8%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 18:14 UTC Closing snapshot recorded PRE1
- 1X2 odds · Olimpija Ljubljana 1.71 · Draw 3.83 · Brinje-Grosuplje 4.78
- Implied 1X2 · Olimpija Ljubljana 55.4% · Draw 24.8% · Brinje-Grosuplje 19.8%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 18:15 UTC Kickoff
-
FT Full-time result Olimpija Ljubljana 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 (14 pp)
- No strong statistical edge
- 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.
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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 |
