AI correctly predicted the Velká Bíteš win.
The match finished 2–1, validating the model's directional assessment.
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 No Yes ✖ Incorrect
- 1X2 Velká Bíteš Velká Bíteš ✔ Correct
- Correct Score Insights 1-1, 2-1, 1-2, 2-2, 1-0 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Velká Bíteš | 41.8% | 52.8% | -11.0 pp | Market Higher |
| Draw | 25.7% | 23.4% | +2.3 pp | Aligned |
| Sparta Brno | 32.6% | 23.8% | +8.7 pp | Model Higher |
The closing market estimates Velká Bíteš's win probability at 52.8%, compared with the model's estimate of 41.8%, a difference of 11.0 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 model's directional lean matched the result (Velká Bíteš win 2–1).
Market Assessment
The market is materially more optimistic about Velká Bíteš 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
- Over 2.5 goals aligned with the xG profile
- Exact score 2–1 fell within the model's highlighted bins
What failed
- Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Velká Bíteš higher (52.8% vs model 41.8%, 11.0 pp), but the model's lean was validated (Velká Bíteš win 2–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
May 24, 2026 · 18:36 UTC Forecast generated
- Model 1X2 · Velká Bíteš 41.8% · Draw 25.7% · Sparta Brno 32.6%
- xG · Velká Bíteš 1.45 — Sparta Brno 1.25
-
May 24, 2026 · 14:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Velká Bíteš 1.68 · Draw 3.79 · Sparta Brno 3.72
- Implied 1X2 · Velká Bíteš 52.8% · Draw 23.4% · Sparta Brno 23.8%
- Bookmaker · Pinnacle
-
May 24, 2026 · 14:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Velká Bíteš 1.68 · Draw 3.79 · Sparta Brno 3.72
- Implied 1X2 · Velká Bíteš 52.8% · Draw 23.4% · Sparta Brno 23.8%
- Bookmaker · Pinnacle
-
May 23, 2026 · 15:00 UTC Kickoff
-
FT Full-time result Velká Bíteš win · 2–1
-
FT Prediction validated Directional lean matched 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
Model 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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4. liga - Divizie D — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Líšeň II | 29 | 22 | 4 | 3 | 70 |
| 2 | Tatran Bohunice | 30 | 18 | 6 | 6 | 60 |
| 3 | Kuřim | 29 | 16 | 7 | 6 | 55 |
| 4 | Velká Bíteš | 29 | 15 | 6 | 8 | 51 |
| 5 | Znojmo | 30 | 14 | 6 | 10 | 48 |
| 6 | Velké Meziříčí | 29 | 12 | 7 | 10 | 43 |
| 7 | Pelhřimov | 29 | 11 | 7 | 11 | 40 |
| 8 | Ždírec nad Doubravou | 29 | 11 | 6 | 12 | 39 |
| 9 | Sokol Tasovice | 29 | 10 | 7 | 12 | 37 |
| 10 | Žďár nad Sázavou | 29 | 10 | 6 | 13 | 36 |
| 11 | Chotebor | 29 | 10 | 4 | 15 | 34 |
| 12 | Sparta Brno | 29 | 9 | 4 | 16 | 31 |
| 13 | Havlíčkův Brod | 29 | 7 | 7 | 15 | 28 |
| 14 | Humpolec | 29 | 8 | 4 | 17 | 28 |
| 15 | FS Třebíč | 29 | 5 | 12 | 12 | 27 |
| 16 | Dálnice Speřice | 29 | 7 | 3 | 19 | 24 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Líšeň II | 29 | 91 | 26 | +65 | 70 |
| 2 | Znojmo | 30 | 62 | 37 | +25 | 48 |
| 3 | Kuřim | 29 | 58 | 28 | +30 | 55 |
| 4 | Velká Bíteš | 29 | 58 | 38 | +20 | 51 |
| 5 | Velké Meziříčí | 29 | 52 | 48 | +4 | 43 |
| 6 | Sparta Brno | 29 | 52 | 55 | -3 | 31 |
| 7 | Pelhřimov | 29 | 47 | 59 | -12 | 40 |
| 8 | Sokol Tasovice | 29 | 44 | 59 | -15 | 37 |
| 9 | Humpolec | 29 | 43 | 55 | -12 | 28 |
| 10 | Tatran Bohunice | 30 | 41 | 24 | +17 | 60 |
| 11 | Havlíčkův Brod | 29 | 39 | 48 | -9 | 28 |
| 12 | FS Třebíč | 29 | 33 | 58 | -25 | 27 |
| 13 | Žďár nad Sázavou | 29 | 32 | 52 | -20 | 36 |
| 14 | Chotebor | 29 | 32 | 54 | -22 | 34 |
| 15 | Ždírec nad Doubravou | 29 | 30 | 41 | -11 | 39 |
| 16 | Dálnice Speřice | 29 | 24 | 56 | -32 | 24 |