The model missed the final outcome (Sparta Praha II win 0–3).
The model had projected Viktoria Žižkov at 41.8%, 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 No No ✔ Correct
- 1X2 Viktoria Žižkov Sparta Praha II ✖ Incorrect
- Correct Score Insights 1-1, 2-1, 1-0, 2-0, 0-1 0-3 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Viktoria Žižkov | 41.8% | 31.9% | +9.8 pp | Model Higher |
| Draw | 25.7% | 24.7% | +0.9 pp | Aligned |
| Sparta Praha II | 32.6% | 43.3% | -10.8 pp | Market Higher |
The closing market estimates Sparta Praha II's win probability at 43.3%, compared with the model's estimate of 32.6%, a difference of 10.8 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: PRE5.
After full time, the result was Sparta Praha II win 0–3.
Market Assessment
The market is materially more optimistic about Sparta Praha II 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 2.70) — 3 goals materialised
- Both Teams To Score (No) matched the full-time result
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
- 1X2: model leaned Viktoria Žižkov; match finished Sparta Praha II
Market lesson
The closing market differed from the model on Viktoria Žižkov by 10.8 percentage points (52.6% vs model 41.8%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
May 09, 2026 · 14:56 UTC Forecast generated
- Model 1X2 · Viktoria Žižkov 41.8% · Draw 25.7% · Sparta Praha II 32.6%
- xG · Viktoria Žižkov 1.45 — Sparta Praha II 1.25
-
May 09, 2026 · 14:30 UTC Opening odds snapshot PRE30
- 1X2 odds · Viktoria Žižkov 2.89 · Draw 3.73 · Sparta Praha II 2.13
- Implied 1X2 · Viktoria Žižkov 31.9% · Draw 24.7% · Sparta Praha II 43.3%
- Bookmaker · Pinnacle
-
May 09, 2026 · 14:56 UTC Closing snapshot recorded PRE5
- 1X2 odds · Viktoria Žižkov 2.89 · Draw 3.73 · Sparta Praha II 2.13
- Implied 1X2 · Viktoria Žižkov 31.9% · Draw 24.7% · Sparta Praha II 43.3%
- Bookmaker · Pinnacle
-
May 10, 2026 · 08:15 UTC Kickoff
-
FT Full-time result Sparta Praha II 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: Warning
- Large market gap (11 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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FNL — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Zbrojovka Brno | 29 | 23 | 4 | 2 | 73 |
| 2 | Táborsko | 29 | 16 | 5 | 8 | 53 |
| 3 | Líšeň | 29 | 15 | 7 | 7 | 52 |
| 4 | Ústí nad Labem | 29 | 15 | 3 | 11 | 48 |
| 5 | Příbram | 29 | 13 | 6 | 10 | 45 |
| 6 | Baník Ostrava II | 29 | 13 | 5 | 11 | 44 |
| 7 | Opava | 29 | 11 | 10 | 8 | 43 |
| 8 | Viktoria Žižkov | 29 | 12 | 5 | 12 | 41 |
| 9 | Vlašim | 29 | 10 | 8 | 11 | 38 |
| 10 | Slavia Praha II | 29 | 10 | 5 | 14 | 35 |
| 11 | České Budějovice | 29 | 10 | 4 | 15 | 34 |
| 12 | Chrudim | 29 | 8 | 8 | 13 | 32 |
| 13 | Hanácká | 29 | 9 | 4 | 16 | 31 |
| 14 | Prostějov | 29 | 5 | 12 | 12 | 27 |
| 15 | Vysočina Jihlava | 29 | 6 | 8 | 15 | 26 |
| 16 | Sparta Praha II | 29 | 7 | 4 | 18 | 25 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Zbrojovka Brno | 29 | 58 | 21 | +37 | 73 |
| 2 | Ústí nad Labem | 29 | 52 | 43 | +9 | 48 |
| 3 | Líšeň | 29 | 49 | 35 | +14 | 52 |
| 4 | Táborsko | 29 | 48 | 31 | +17 | 53 |
| 5 | Baník Ostrava II | 29 | 44 | 38 | +6 | 44 |
| 6 | Opava | 29 | 42 | 31 | +11 | 43 |
| 7 | Vlašim | 29 | 39 | 31 | +8 | 38 |
| 8 | Slavia Praha II | 29 | 39 | 45 | -6 | 35 |
| 9 | Viktoria Žižkov | 29 | 37 | 50 | -13 | 41 |
| 10 | Chrudim | 29 | 36 | 49 | -13 | 32 |
| 11 | České Budějovice | 29 | 30 | 39 | -9 | 34 |
| 12 | Hanácká | 29 | 30 | 42 | -12 | 31 |
| 13 | Prostějov | 29 | 30 | 43 | -13 | 27 |
| 14 | Příbram | 29 | 29 | 30 | -1 | 45 |
| 15 | Vysočina Jihlava | 29 | 29 | 38 | -9 | 26 |
| 16 | Sparta Praha II | 29 | 27 | 53 | -26 | 25 |