The model missed the final outcome (Buducnost Podgorica win 0–1).
The model had projected Sutjeska at 39.5%, but the full-time result went the other way.
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 Under 2.5 (1 goals) ✔ Correct
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Sutjeska Buducnost Podgorica ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Sutjeska | 39.5% | 46.2% | -6.8 pp | Market Higher |
| Draw | 29.5% | 31.8% | -2.3 pp | Aligned |
| Buducnost Podgorica | 31.0% | 22.0% | +9.1 pp | Model Higher |
The statistical model estimates Buducnost Podgorica's win probability at 31.0%, compared with the closing market's implied probability of 22.0%, a difference of 9.1 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 result was Buducnost Podgorica win 0–1.
Market Assessment
The fair estimate shows a modest edge over current market pricing on Buducnost Podgorica.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Under 2.5 goals aligned with the xG profile
- Exact score 0–1 fell within the model's highlighted bins
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- 1X2: model leaned Sutjeska; match finished Buducnost Podgorica
Market lesson
The closing market differed from the model on Sutjeska by 9.1 percentage points (30.4% vs model 39.5%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 03, 2026 · 17:59 UTC Forecast generated
- Model 1X2 · Sutjeska 39.5% · Draw 29.5% · Buducnost Podgorica 31.0%
- xG · Sutjeska 1.39 — Buducnost Podgorica 1.21
-
Aug 03, 2026 · 17:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Sutjeska 1.98 · Draw 2.88 · Buducnost Podgorica 4.17
- Implied 1X2 · Sutjeska 46.2% · Draw 31.8% · Buducnost Podgorica 22.0%
- Bookmaker · Pinnacle
-
Aug 03, 2026 · 17:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Sutjeska 1.98 · Draw 2.88 · Buducnost Podgorica 4.17
- Implied 1X2 · Sutjeska 46.2% · Draw 31.8% · Buducnost Podgorica 22.0%
- Bookmaker · Pinnacle
-
Aug 03, 2026 · 18:00 UTC Kickoff
-
FT Full-time result Buducnost Podgorica win · 0–1
-
FT Prediction missed 1X2 lean did not match 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
- Statistical edge detected
- 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 |
