The model missed the final outcome (HNK Hajduk Split win 4–0).
The model had projected NK Osijek at 41.5%, 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 Over 2.5 Over 2.5 (4 goals) ✔ Correct
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 NK Osijek HNK Hajduk Split ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-2, 0-2, 1-0 4-0 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| HNK Hajduk Split | 30.8% | 41.1% | -10.3 pp | Market Higher |
| Draw | 27.7% | 26.3% | +1.5 pp | Aligned |
| NK Osijek | 41.5% | 32.6% | +8.8 pp | Model Higher |
The closing market estimates HNK Hajduk Split's win probability at 41.1%, compared with the model's estimate of 30.8%, a difference of 10.3 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 result was HNK Hajduk Split win 4–0.
Market Assessment
The market is materially more optimistic about HNK Hajduk Split 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 2.73) — 4 goals materialised
- Over 2.5 goals aligned with the xG profile
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- 1X2: model leaned NK Osijek; match finished HNK Hajduk Split
Market lesson
The closing market differed from the model on NK Osijek by 10.3 percentage points (51.8% vs model 41.5%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 23, 2026 · 19:43 UTC Forecast generated
- Model 1X2 · HNK Hajduk Split 30.9% · Draw 27.7% · NK Osijek 41.5%
- xG · HNK Hajduk Split 1.14 — NK Osijek 1.59
-
Aug 23, 2026 · 18:33 UTC Opening odds snapshot PRE30
- 1X2 odds · HNK Hajduk Split 2.32 · Draw 3.63 · NK Osijek 2.92
- Implied 1X2 · HNK Hajduk Split 41.1% · Draw 26.3% · NK Osijek 32.6%
- Bookmaker · Pinnacle
-
Aug 23, 2026 · 19:01 UTC Closing snapshot recorded PRE1
- 1X2 odds · HNK Hajduk Split 2.32 · Draw 3.63 · NK Osijek 2.92
- Implied 1X2 · HNK Hajduk Split 41.1% · Draw 26.3% · NK Osijek 32.6%
- Bookmaker · Pinnacle
-
Aug 23, 2026 · 19:00 UTC Kickoff
-
FT Full-time result HNK Hajduk Split win · 4–0
-
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: Warning
- Large market gap (10 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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HNL — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Dinamo Zagreb | 7 | 5 | 1 | 1 | 16 |
| 2 | HNK Hajduk Split | 8 | 5 | 1 | 2 | 16 |
| 3 | NK Osijek | 8 | 5 | 1 | 2 | 16 |
| 4 | NK Varazdin | 8 | 4 | 3 | 1 | 15 |
| 5 | HNK Rijeka | 7 | 4 | 2 | 1 | 14 |
| 6 | Istra 1961 | 8 | 2 | 3 | 3 | 9 |
| 7 | NK Lokomotiva Zagreb | 8 | 2 | 1 | 5 | 7 |
| 8 | NK Slaven Belupo | 8 | 2 | 1 | 5 | 7 |
| 9 | HNK Gorica | 8 | 1 | 2 | 5 | 5 |
| 10 | Rudes | 8 | 1 | 1 | 6 | 4 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Dinamo Zagreb | 7 | 17 | 9 | +8 | 16 |
| 2 | NK Osijek | 8 | 17 | 11 | +6 | 16 |
| 3 | HNK Hajduk Split | 8 | 16 | 8 | +8 | 16 |
| 4 | Istra 1961 | 8 | 14 | 13 | +1 | 9 |
| 5 | NK Varazdin | 8 | 13 | 7 | +6 | 15 |
| 6 | HNK Rijeka | 7 | 13 | 7 | +6 | 14 |
| 7 | NK Lokomotiva Zagreb | 8 | 11 | 16 | -5 | 7 |
| 8 | Rudes | 8 | 10 | 24 | -14 | 4 |
| 9 | NK Slaven Belupo | 8 | 7 | 16 | -9 | 7 |
| 10 | HNK Gorica | 8 | 5 | 12 | -7 | 5 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Dinamo Zagreb | 7 | 10.2 | 3.5 | +6.7 | 16 |
| 2 | NK Varazdin | 8 | 9.8 | 5.1 | +4.7 | 15 |
| 3 | NK Osijek | 8 | 9.6 | 5.7 | +3.9 | 16 |
| 4 | HNK Hajduk Split | 8 | 9.3 | 5.5 | +3.8 | 16 |
| 5 | Istra 1961 | 8 | 9.4 | 7.2 | +2.2 | 9 |
| 6 | HNK Rijeka | 7 | 6.9 | 4.7 | +2.2 | 14 |
| 7 | HNK Gorica | 8 | 6.0 | 9.1 | -3.1 | 5 |
| 8 | NK Lokomotiva Zagreb | 8 | 7.8 | 12.7 | -4.9 | 7 |
| 9 | NK Slaven Belupo | 8 | 6.9 | 12.7 | -5.8 | 7 |
| 10 | Rudes | 8 | 3.8 | 13.4 | -9.6 | 4 |