AI correctly predicted the Buducnost Podgorica win.
The match finished 4–1, 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 (5 goals) ✔ Correct
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Buducnost Podgorica Buducnost Podgorica ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 4-1 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Buducnost Podgorica | 35.2% | 41.2% | -6.0 pp | Market Higher |
| Draw | 29.6% | 30.7% | -1.1 pp | Aligned |
| Petrovac | 35.2% | 28.1% | +7.1 pp | Model Higher |
The statistical model estimates Petrovac's win probability at 35.2%, compared with the closing market's implied probability of 28.1%, a difference of 7.1 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: PRE1.
After full time, the model's directional lean matched the result (Buducnost Podgorica win 4–1).
Market Assessment
The fair estimate shows a modest edge over current market pricing on Petrovac.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 5 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Over 2.5 goals aligned with the xG profile
What failed
- 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 Buducnost Podgorica more conservatively (28.1% vs model 35.2%, 7.1 pp), but the model's lean was validated (Buducnost Podgorica win 4–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 18, 2026 · 17:00 UTC Forecast generated
- Model 1X2 · Buducnost Podgorica 35.2% · Draw 29.6% · Petrovac 35.2%
- xG · Buducnost Podgorica 1.30 — Petrovac 1.30
-
Sep 18, 2026 · 16:31 UTC Opening odds snapshot PRE30
- 1X2 odds · Buducnost Podgorica 2.22 · Draw 2.98 · Petrovac 3.26
- Implied 1X2 · Buducnost Podgorica 41.2% · Draw 30.7% · Petrovac 28.1%
- Bookmaker · Pinnacle
-
Sep 18, 2026 · 17:00 UTC Closing snapshot recorded PRE1
- 1X2 odds · Buducnost Podgorica 2.22 · Draw 2.98 · Petrovac 3.26
- Implied 1X2 · Buducnost Podgorica 41.2% · Draw 30.7% · Petrovac 28.1%
- Bookmaker · Pinnacle
-
Sep 18, 2026 · 17:00 UTC Kickoff
-
FT Full-time result Buducnost Podgorica win · 4–1
-
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 League — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Otrant-Olympic | 9 | 5 | 1 | 3 | 16 |
| 2 | Dečić | 9 | 4 | 3 | 2 | 15 |
| 3 | Bokelj | 9 | 4 | 3 | 2 | 15 |
| 4 | Buducnost Podgorica | 9 | 4 | 2 | 3 | 14 |
| 5 | Sutjeska | 9 | 4 | 2 | 3 | 14 |
| 6 | Mornar | 9 | 3 | 4 | 2 | 13 |
| 7 | Mladost DG | 9 | 3 | 1 | 5 | 10 |
| 8 | Jezero | 9 | 2 | 3 | 4 | 9 |
| 9 | Petrovac | 9 | 1 | 5 | 3 | 8 |
| 10 | Arsenal Tivat | 9 | 1 | 4 | 4 | 7 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Otrant-Olympic | 9 | 15 | 10 | +5 | 16 |
| 2 | Buducnost Podgorica | 9 | 11 | 7 | +4 | 14 |
| 3 | Sutjeska | 9 | 11 | 7 | +4 | 14 |
| 4 | Dečić | 9 | 10 | 7 | +3 | 15 |
| 5 | Mornar | 9 | 9 | 7 | +2 | 13 |
| 6 | Jezero | 9 | 9 | 15 | -6 | 9 |
| 7 | Bokelj | 9 | 8 | 5 | +3 | 15 |
| 8 | Mladost DG | 9 | 8 | 15 | -7 | 10 |
| 9 | Petrovac | 9 | 7 | 9 | -2 | 8 |
| 10 | Arsenal Tivat | 9 | 5 | 11 | -6 | 7 |
