AI correctly predicted the Segesta Sisak win.
The match finished 3–1, 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 Under 2.5 Over 2.5 (4 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Segesta Sisak Segesta Sisak ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-1 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Segesta Sisak | 35.2% | 41.1% | -5.9 pp | Market Higher |
| Draw | 29.6% | 27.6% | +2.0 pp | Aligned |
| Orijent 1919 | 35.2% | 31.3% | +3.9 pp | Aligned |
The closing market estimates Segesta Sisak's win probability at 41.1%, compared with the model's estimate of 35.2%, a difference of 5.9 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 3–1).
Market Assessment
The market and model broadly agree on Segesta Sisak. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
- Both Teams To Score (Yes) matched the full-time result
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
- Exact score: outside the model's top score bins
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Segesta Sisak higher (41.1% vs model 35.2%, 5.9 pp), but the model's lean was validated (Segesta Sisak win 3–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 22, 2026 · 14:29 UTC Forecast generated
- Model 1X2 · Segesta Sisak 35.2% · Draw 29.6% · Orijent 1919 35.2%
- xG · Segesta Sisak 1.30 — Orijent 1919 1.30
-
Aug 22, 2026 · 14:20 UTC Opening odds snapshot PRE10
- 1X2 odds · Segesta Sisak 2.20 · Draw 3.27 · Orijent 1919 2.89
- Implied 1X2 · Segesta Sisak 41.1% · Draw 27.6% · Orijent 1919 31.3%
- Bookmaker · Pinnacle
-
Aug 22, 2026 · 14:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Segesta Sisak 2.20 · Draw 3.27 · Orijent 1919 2.89
- Implied 1X2 · Segesta Sisak 41.1% · Draw 27.6% · Orijent 1919 31.3%
- Bookmaker · Pinnacle
-
Aug 22, 2026 · 14:30 UTC Kickoff
-
FT Full-time result Segesta Sisak win · 3–1
-
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: Pass
- No strong statistical edge
- Direction agrees with model lean
- Validation passed
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 |