The model missed the final outcome (Draw 2–2).
The model had projected Ogre United at 36.6%, 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 Over 2.5 (4 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Ogre United Draw ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-2 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Grobiņa | 33.8% | 49.6% | -15.8 pp | Market Higher |
| Draw | 29.6% | 26.0% | +3.6 pp | Aligned |
| Ogre United | 36.6% | 24.4% | +12.2 pp | Model Edge |
The closing market estimates Grobiņa's win probability at 49.6%, compared with the model's estimate of 33.8%, a difference of 15.8 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 Draw 2–2.
Market Assessment
The market is materially more optimistic about Grobiņa 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 2.60) — 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)
- 1X2: model leaned Ogre United; match finished Draw
Market lesson
The closing market differed from the model on Ogre United by 15.8 percentage points (52.4% vs model 36.6%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Jul 27, 2026 · 15:59 UTC Forecast generated
- Model 1X2 · Grobiņa 33.8% · Draw 29.6% · Ogre United 36.6%
- xG · Grobiņa 1.27 — Ogre United 1.33
-
Jul 27, 2026 · 15:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Grobiņa 1.87 · Draw 3.56 · Ogre United 3.80
- Implied 1X2 · Grobiņa 49.6% · Draw 26.0% · Ogre United 24.4%
- Bookmaker · Pinnacle
-
Jul 27, 2026 · 15:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Grobiņa 1.87 · Draw 3.56 · Ogre United 3.80
- Implied 1X2 · Grobiņa 49.6% · Draw 26.0% · Ogre United 24.4%
- Bookmaker · Pinnacle
-
Jul 27, 2026 · 16:00 UTC Kickoff
-
FT Full-time result Draw · 2–2
-
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 (16 pp)
- No strong statistical edge
- Pricing remains divergent
- 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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Virsliga — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Rīgas FS | 30 | 23 | 5 | 2 | 74 |
| 2 | Riga | 31 | 22 | 7 | 2 | 73 |
| 3 | Auda | 31 | 18 | 7 | 6 | 61 |
| 4 | FK Liepaja | 31 | 12 | 7 | 12 | 43 |
| 5 | BFC Daugavpils | 31 | 10 | 9 | 12 | 39 |
| 6 | Super Nova | 30 | 10 | 5 | 15 | 35 |
| 7 | FS Jelgava | 31 | 8 | 8 | 15 | 32 |
| 8 | Grobiņa | 31 | 5 | 11 | 15 | 26 |
| 9 | Tukums | 31 | 5 | 9 | 17 | 24 |
| 10 | Ogre United | 31 | 4 | 6 | 21 | 18 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Riga | 31 | 86 | 30 | +56 | 73 |
| 2 | Rīgas FS | 30 | 71 | 22 | +49 | 74 |
| 3 | Auda | 31 | 49 | 30 | +19 | 61 |
| 4 | Tukums | 31 | 44 | 61 | -17 | 24 |
| 5 | FK Liepaja | 31 | 41 | 43 | -2 | 43 |
| 6 | BFC Daugavpils | 31 | 35 | 35 | 0 | 39 |
| 7 | FS Jelgava | 31 | 32 | 49 | -17 | 32 |
| 8 | Ogre United | 31 | 30 | 76 | -46 | 18 |
| 9 | Super Nova | 30 | 29 | 40 | -11 | 35 |
| 10 | Grobiņa | 31 | 21 | 52 | -31 | 26 |
