AI correctly predicted the Segesta Sisak 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 Segesta Sisak Segesta Sisak ✔ Correct
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Segesta Sisak | 36.6% | 47.4% | -10.8 pp | Market Higher |
| Draw | 29.6% | 27.4% | +2.2 pp | Aligned |
| Dugopolje | 33.8% | 25.2% | +8.6 pp | Model Higher |
The closing market estimates Segesta Sisak's win probability at 47.4%, compared with the model's estimate of 36.6%, a difference of 10.8 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 (Segesta Sisak win 2–1).
Market Assessment
The market is materially more optimistic about Segesta Sisak 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
- 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 Segesta Sisak higher (47.4% vs model 36.6%, 10.8 pp), but the model's lean was validated (Segesta Sisak win 2–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 12, 2026 · 14:30 UTC Forecast generated
- Model 1X2 · Segesta Sisak 36.6% · Draw 29.6% · Dugopolje 33.8%
- xG · Segesta Sisak 1.33 — Dugopolje 1.27
-
Sep 12, 2026 · 14:21 UTC Opening odds snapshot PRE10
- 1X2 odds · Segesta Sisak 1.91 · Draw 3.30 · Dugopolje 3.59
- Implied 1X2 · Segesta Sisak 47.4% · Draw 27.4% · Dugopolje 25.2%
- Bookmaker · Pinnacle
-
Sep 12, 2026 · 14:30 UTC Closing snapshot recorded PRE1
- 1X2 odds · Segesta Sisak 1.91 · Draw 3.30 · Dugopolje 3.59
- Implied 1X2 · Segesta Sisak 47.4% · Draw 27.4% · Dugopolje 25.2%
- Bookmaker · Pinnacle
-
Sep 12, 2026 · 14:30 UTC Kickoff
-
FT Full-time result Segesta Sisak 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 (11 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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First NL — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Jadran LP | 7 | 4 | 2 | 1 | 14 |
| 2 | Bsk Bijelo Brdo | 7 | 4 | 1 | 2 | 13 |
| 3 | Mladost Ždralovi | 7 | 3 | 2 | 2 | 11 |
| 4 | Croatia Zmijavci | 6 | 3 | 1 | 2 | 10 |
| 5 | HNK Cibalia | 6 | 2 | 4 | 0 | 10 |
| 6 | Segesta Sisak | 6 | 3 | 1 | 2 | 10 |
| 7 | Sesvete | 6 | 3 | 0 | 3 | 9 |
| 8 | Dugopolje | 6 | 2 | 3 | 1 | 9 |
| 9 | Dinamo Zagreb U21 | 7 | 3 | 0 | 4 | 9 |
| 10 | Dubrava Zagreb | 7 | 2 | 2 | 3 | 8 |
| 11 | Vukovar | 6 | 2 | 2 | 2 | 8 |
| 12 | Orijent 1919 | 7 | 2 | 2 | 3 | 8 |
| 13 | Karlovac 1919 | 6 | 2 | 1 | 3 | 7 |
| 14 | Hrvace | 7 | 2 | 1 | 4 | 7 |
| 15 | Kustosija | 7 | 1 | 3 | 3 | 6 |
| 16 | Opatija | 6 | 1 | 1 | 4 | 4 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Jadran LP | 7 | 12 | 7 | +5 | 14 |
| 2 | Dinamo Zagreb U21 | 7 | 11 | 11 | 0 | 9 |
| 3 | Vukovar | 6 | 11 | 13 | -2 | 8 |
| 4 | Croatia Zmijavci | 6 | 9 | 6 | +3 | 10 |
| 5 | Sesvete | 6 | 9 | 6 | +3 | 9 |
| 6 | Dugopolje | 6 | 9 | 8 | +1 | 9 |
| 7 | Bsk Bijelo Brdo | 7 | 8 | 6 | +2 | 13 |
| 8 | Segesta Sisak | 6 | 8 | 7 | +1 | 10 |
| 9 | Karlovac 1919 | 6 | 7 | 9 | -2 | 7 |
| 10 | Opatija | 6 | 7 | 10 | -3 | 4 |
| 11 | Hrvace | 7 | 7 | 12 | -5 | 7 |
| 12 | HNK Cibalia | 6 | 6 | 4 | +2 | 10 |
| 13 | Mladost Ždralovi | 7 | 6 | 6 | 0 | 11 |
| 14 | Dubrava Zagreb | 7 | 6 | 7 | -1 | 8 |
| 15 | Orijent 1919 | 7 | 6 | 8 | -2 | 8 |
| 16 | Kustosija | 7 | 3 | 5 | -2 | 6 |
