The model missed the final outcome (Rodina Moskva II win 1–3).
The model had projected Novosibirsk at 38.0%, 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 Novosibirsk Rodina Moskva II ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-3 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Novosibirsk | 38.0% | 48.3% | -10.3 pp | Market Higher |
| Draw | 29.6% | 27.1% | +2.5 pp | Aligned |
| Rodina Moskva II | 32.4% | 24.7% | +7.7 pp | Model Higher |
The closing market estimates Novosibirsk's win probability at 48.3%, compared with the model's estimate of 38.0%, 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 Rodina Moskva II win 1–3.
Market Assessment
The market is materially more optimistic about Novosibirsk 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 Novosibirsk; match finished Rodina Moskva II
Market lesson
The closing market differed from the model on Novosibirsk by 10.3 percentage points (48.3% vs model 38.0%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 02, 2026 · 09:59 UTC Forecast generated
- Model 1X2 · Novosibirsk 38.0% · Draw 29.6% · Rodina Moskva II 32.4%
- xG · Novosibirsk 1.36 — Rodina Moskva II 1.24
-
Aug 02, 2026 · 09:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Novosibirsk 1.86 · Draw 3.32 · Rodina Moskva II 3.64
- Implied 1X2 · Novosibirsk 48.3% · Draw 27.1% · Rodina Moskva II 24.7%
- Bookmaker · Marathonbet
-
Aug 02, 2026 · 09:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Novosibirsk 1.86 · Draw 3.32 · Rodina Moskva II 3.64
- Implied 1X2 · Novosibirsk 48.3% · Draw 27.1% · Rodina Moskva II 24.7%
- Bookmaker · Marathonbet
-
Aug 02, 2026 · 10:00 UTC Kickoff
-
FT Full-time result Rodina Moskva II win · 1–3
-
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: 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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Second League A - Division A Gold — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Dinamo Kirov | 11 | 7 | 2 | 2 | 23 |
| 2 | Rodina Moskva II | 11 | 7 | 2 | 2 | 23 |
| 3 | Dinamo Bryansk | 11 | 4 | 4 | 3 | 16 |
| 4 | Novosibirsk | 11 | 4 | 3 | 4 | 15 |
| 5 | Dinamo Vladivostok | 11 | 3 | 4 | 4 | 13 |
| 6 | Mashuk-KMV | 11 | 2 | 7 | 2 | 13 |
| 7 | Alaniya Vladikavkaz | 11 | 2 | 6 | 3 | 12 |
| 8 | Volgar Astrakhan | 11 | 1 | 8 | 2 | 11 |
| 9 | FK Sokol Saratov | 11 | 1 | 6 | 4 | 9 |
| 10 | Kaluga | 11 | 0 | 6 | 5 | 6 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Rodina Moskva II | 11 | 20 | 10 | +10 | 23 |
| 2 | Novosibirsk | 11 | 15 | 14 | +1 | 15 |
| 3 | Alaniya Vladikavkaz | 11 | 14 | 12 | +2 | 12 |
| 4 | Dinamo Kirov | 11 | 13 | 8 | +5 | 23 |
| 5 | Volgar Astrakhan | 11 | 12 | 13 | -1 | 11 |
| 6 | Dinamo Bryansk | 11 | 11 | 13 | -2 | 16 |
| 7 | FK Sokol Saratov | 11 | 10 | 17 | -7 | 9 |
| 8 | Mashuk-KMV | 11 | 8 | 8 | 0 | 13 |
| 9 | Dinamo Vladivostok | 11 | 8 | 9 | -1 | 13 |
| 10 | Kaluga | 11 | 6 | 13 | -7 | 6 |
