AI correctly predicted the Mladost DG win.
The match finished 2–0, 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 Under 2.5 (2 goals) ✔ Correct
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Mladost DG Mladost DG ✔ Correct
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-0 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Mladost DG | 37.1% | 24.3% | +12.8 pp | Model Edge |
| Draw | 29.6% | 29.4% | +0.2 pp | Aligned |
| Dečić | 33.3% | 46.3% | -12.9 pp | Market Higher |
The closing market estimates Dečić's win probability at 46.3%, compared with the model's estimate of 33.3%, a difference of 12.9 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: PRE5.
After full time, the model's directional lean matched the result (Mladost DG win 2–0).
Market Assessment
The market is materially more optimistic about Dečić 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
- Under 2.5 goals aligned with the xG profile
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- 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 Mladost DG higher (50.0% vs model 37.1%, 12.9 pp), but the model's lean was validated (Mladost DG win 2–0).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 05, 2026 · 14:58 UTC Forecast generated
- Model 1X2 · Mladost DG 37.0% · Draw 29.6% · Dečić 33.4%
- xG · Mladost DG 1.34 — Dečić 1.26
-
Sep 05, 2026 · 14:35 UTC Opening odds snapshot PRE30
- 1X2 odds · Mladost DG 3.77 · Draw 3.11 · Dečić 1.98
- Implied 1X2 · Mladost DG 24.3% · Draw 29.4% · Dečić 46.3%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 14:58 UTC Closing snapshot recorded PRE5
- 1X2 odds · Mladost DG 3.77 · Draw 3.11 · Dečić 1.98
- Implied 1X2 · Mladost DG 24.3% · Draw 29.4% · Dečić 46.3%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 15:00 UTC Kickoff
-
FT Full-time result Mladost DG win · 2–0
-
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 (13 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 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 |
