The model missed the final outcome (Lokomotiv Kyiv win 2–1).
The model had projected SK Poltava 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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 SK Poltava Lokomotiv Kyiv ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Lokomotiv Kyiv | 33.8% | 23.9% | +9.8 pp | Model Higher |
| Draw | 29.6% | 27.6% | +2.0 pp | Aligned |
| SK Poltava | 36.6% | 48.5% | -11.9 pp | Market Higher |
The closing market estimates SK Poltava's win probability at 48.5%, compared with the model's estimate of 36.6%, a difference of 11.9 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: PRE1.
After full time, the result was Lokomotiv Kyiv win 2–1.
Market Assessment
The market is materially more optimistic about SK Poltava 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) — 3 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Over 2.5 goals aligned with the xG profile
What failed
- 1X2: model leaned SK Poltava; match finished Lokomotiv Kyiv
Market lesson
The closing market differed from the model on SK Poltava by 11.9 percentage points (48.5% vs model 36.6%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 12, 2026 · 10:29 UTC Forecast generated
- Model 1X2 · Lokomotiv Kyiv 33.8% · Draw 29.6% · SK Poltava 36.6%
- xG · Lokomotiv Kyiv 1.27 — SK Poltava 1.33
-
Sep 12, 2026 · 10:01 UTC Opening odds snapshot PRE30
- 1X2 odds · Lokomotiv Kyiv 3.75 · Draw 3.25 · SK Poltava 1.85
- Implied 1X2 · Lokomotiv Kyiv 23.9% · Draw 27.6% · SK Poltava 48.5%
- Bookmaker · Bet365
-
Sep 12, 2026 · 10:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Lokomotiv Kyiv 3.75 · Draw 3.25 · SK Poltava 1.85
- Implied 1X2 · Lokomotiv Kyiv 23.9% · Draw 27.6% · SK Poltava 48.5%
- Bookmaker · Bet365
-
Sep 12, 2026 · 10:30 UTC Kickoff
-
FT Full-time result Lokomotiv Kyiv win · 2–1
-
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: Warning
- Large market gap (12 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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Persha Liga — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Kulykiv | 9 | 5 | 2 | 2 | 17 |
| 2 | Viktoriya Mykolaivka | 9 | 5 | 2 | 2 | 17 |
| 3 | Oleksandria | 9 | 4 | 4 | 1 | 16 |
| 4 | SK Poltava | 9 | 4 | 3 | 2 | 15 |
| 5 | Prykarpattia | 9 | 4 | 2 | 3 | 14 |
| 6 | Ahrobiznes Volochysk | 9 | 4 | 2 | 3 | 14 |
| 7 | Yarud Mariupol' | 9 | 4 | 2 | 3 | 14 |
| 8 | Inhulets | 8 | 4 | 2 | 2 | 14 |
| 9 | Metal Kharkiv | 9 | 4 | 1 | 4 | 13 |
| 10 | Lokomotiv Kyiv | 9 | 3 | 3 | 3 | 12 |
| 11 | Nyva Ternopil | 9 | 2 | 4 | 3 | 10 |
| 12 | UCSA | 9 | 2 | 4 | 3 | 10 |
| 13 | Kolos Kovalivka II | 8 | 3 | 0 | 5 | 9 |
| 14 | Chernihiv | 8 | 1 | 4 | 3 | 7 |
| 15 | Polissya II | 8 | 1 | 3 | 4 | 6 |
| 16 | Probiy Horodenka | 9 | 0 | 2 | 7 | 2 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Kulykiv | 9 | 19 | 9 | +10 | 17 |
| 2 | Ahrobiznes Volochysk | 9 | 14 | 12 | +2 | 14 |
| 3 | SK Poltava | 9 | 13 | 5 | +8 | 15 |
| 4 | Oleksandria | 9 | 13 | 7 | +6 | 16 |
| 5 | Prykarpattia | 9 | 12 | 9 | +3 | 14 |
| 6 | Yarud Mariupol' | 9 | 12 | 11 | +1 | 14 |
| 7 | UCSA | 9 | 12 | 14 | -2 | 10 |
| 8 | Viktoriya Mykolaivka | 9 | 11 | 6 | +5 | 17 |
| 9 | Metal Kharkiv | 9 | 11 | 11 | 0 | 13 |
| 10 | Polissya II | 8 | 11 | 14 | -3 | 6 |
| 11 | Inhulets | 8 | 10 | 10 | 0 | 14 |
| 12 | Lokomotiv Kyiv | 9 | 9 | 9 | 0 | 12 |
| 13 | Nyva Ternopil | 9 | 9 | 9 | 0 | 10 |
| 14 | Chernihiv | 8 | 8 | 11 | -3 | 7 |
| 15 | Kolos Kovalivka II | 8 | 8 | 15 | -7 | 9 |
| 16 | Probiy Horodenka | 9 | 6 | 26 | -20 | 2 |