The model missed the final outcome (Epitsentr Dunayivtsi win 0–3).
The model had projected Kudrivka at 37.7%, 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 (3 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Kudrivka Epitsentr Dunayivtsi ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-3 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Kudrivka | 37.7% | 28.9% | +8.8 pp | Model Higher |
| Draw | 29.2% | 29.8% | -0.6 pp | Aligned |
| Epitsentr Dunayivtsi | 33.1% | 41.2% | -8.2 pp | Market Higher |
The statistical model estimates Kudrivka's win probability at 37.7%, compared with the closing market's implied probability of 28.9%, a difference of 8.8 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 Epitsentr Dunayivtsi win 0–3.
Market Assessment
The fair estimate shows a modest edge over current market pricing on Kudrivka.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.66) — 3 goals materialised
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
Market lesson
The closing market differed from the model on Kudrivka by 8.8 percentage points (28.9% vs model 37.7%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 29, 2026 · 10:01 UTC Forecast generated
- Model 1X2 · Kudrivka 37.7% · Draw 29.2% · Epitsentr Dunayivtsi 33.1%
- xG · Kudrivka 1.38 — Epitsentr Dunayivtsi 1.28
-
Aug 29, 2026 · 09:31 UTC Opening odds snapshot PRE30
- 1X2 odds · Kudrivka 3.21 · Draw 3.11 · Epitsentr Dunayivtsi 2.25
- Implied 1X2 · Kudrivka 28.9% · Draw 29.8% · Epitsentr Dunayivtsi 41.2%
- Bookmaker · Pinnacle
-
Aug 29, 2026 · 10:01 UTC Closing snapshot recorded PRE1
- 1X2 odds · Kudrivka 3.21 · Draw 3.11 · Epitsentr Dunayivtsi 2.25
- Implied 1X2 · Kudrivka 28.9% · Draw 29.8% · Epitsentr Dunayivtsi 41.2%
- Bookmaker · Pinnacle
-
Aug 29, 2026 · 10:00 UTC Kickoff
-
FT Full-time result Epitsentr Dunayivtsi win · 0–3
-
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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Premier League — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Polessya | 7 | 6 | 0 | 1 | 18 |
| 2 | Shakhtar Donetsk | 7 | 6 | 0 | 1 | 18 |
| 3 | Karpaty | 7 | 4 | 2 | 1 | 14 |
| 4 | Dynamo Kyiv | 6 | 4 | 1 | 1 | 13 |
| 5 | Metalist 1925 Kharkiv | 6 | 4 | 0 | 2 | 12 |
| 6 | Epitsentr Dunayivtsi | 7 | 2 | 2 | 3 | 8 |
| 7 | LNZ Cherkasy | 7 | 2 | 2 | 3 | 8 |
| 8 | Zorya Luhansk | 7 | 2 | 2 | 3 | 8 |
| 9 | Livyi Bereh | 6 | 1 | 4 | 1 | 7 |
| 10 | Bukovyna | 7 | 1 | 4 | 2 | 7 |
| 11 | Veres Rivne | 6 | 1 | 3 | 2 | 6 |
| 12 | Chornomorets | 6 | 1 | 2 | 3 | 5 |
| 13 | Kolos Kovalivka | 6 | 1 | 2 | 3 | 5 |
| 14 | Kryvbas KR | 6 | 1 | 2 | 3 | 5 |
| 15 | Obolon'-Brovar | 7 | 0 | 4 | 3 | 4 |
| 16 | Kudrivka | 6 | 0 | 2 | 4 | 2 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Shakhtar Donetsk | 7 | 15 | 4 | +11 | 18 |
| 2 | Polessya | 7 | 15 | 5 | +10 | 18 |
| 3 | Karpaty | 7 | 15 | 5 | +10 | 14 |
| 4 | Metalist 1925 Kharkiv | 6 | 12 | 4 | +8 | 12 |
| 5 | Dynamo Kyiv | 6 | 9 | 5 | +4 | 13 |
| 6 | Kryvbas KR | 6 | 7 | 10 | -3 | 5 |
| 7 | Zorya Luhansk | 7 | 7 | 11 | -4 | 8 |
| 8 | Epitsentr Dunayivtsi | 7 | 6 | 7 | -1 | 8 |
| 9 | Kolos Kovalivka | 6 | 6 | 10 | -4 | 5 |
| 10 | LNZ Cherkasy | 7 | 5 | 8 | -3 | 8 |
| 11 | Livyi Bereh | 6 | 4 | 3 | +1 | 7 |
| 12 | Veres Rivne | 6 | 4 | 5 | -1 | 6 |
| 13 | Bukovyna | 7 | 4 | 6 | -2 | 7 |
| 14 | Kudrivka | 6 | 4 | 16 | -12 | 2 |
| 15 | Chornomorets | 6 | 3 | 7 | -4 | 5 |
| 16 | Obolon'-Brovar | 7 | 2 | 12 | -10 | 4 |
