AI correctly predicted the FK Jablonec win.
The match finished 0–2, 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 Under 2.5 Under 2.5 (2 goals) ✔ Correct
- Both Teams To Score BTTS No No ✔ Correct
- 1X2 FK Jablonec FK Jablonec ✔ Correct
- Correct Score Insights 0-1, 1-1, 0-2, 0-0, 1-2 0-2 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Pardubice | 25.1% | 41.1% | -16.0 pp | Market Higher |
| Draw | 30.3% | 27.6% | +2.7 pp | Aligned |
| FK Jablonec | 44.6% | 31.3% | +13.4 pp | Model Edge |
The closing market estimates Pardubice's win probability at 41.1%, compared with the model's estimate of 25.1%, a difference of 16.0 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 (FK Jablonec win 0–2).
Market Assessment
The market is materially more optimistic about Pardubice 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
- FK Jablonec attacking xG significantly stronger (1.43 vs 0.81)
- Both Teams To Score (No) matched the full-time result
- Under 2.5 goals aligned with the xG profile
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced FK Jablonec higher (60.6% vs model 44.6%, 16.0 pp), but the model's lean was validated (FK Jablonec win 0–2).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 02, 2026 · 19:21 UTC Forecast generated
- Model 1X2 · Pardubice 25.1% · Draw 30.3% · FK Jablonec 44.6%
- xG · Pardubice 0.81 — FK Jablonec 1.43
-
Aug 02, 2026 · 17:32 UTC Opening odds snapshot PRE30
- 1X2 odds · Pardubice 2.32 · Draw 3.46 · FK Jablonec 3.05
- Implied 1X2 · Pardubice 41.1% · Draw 27.6% · FK Jablonec 31.3%
- Bookmaker · Pinnacle
-
Aug 02, 2026 · 18:01 UTC Closing snapshot recorded PRE1
- 1X2 odds · Pardubice 2.32 · Draw 3.46 · FK Jablonec 3.05
- Implied 1X2 · Pardubice 41.1% · Draw 27.6% · FK Jablonec 31.3%
- Bookmaker · Pinnacle
-
Aug 02, 2026 · 18:00 UTC Kickoff
-
FT Full-time result FK Jablonec win · 0–2
-
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 (16 pp)
- Moderate model lean
- Pricing remains divergent
- 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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Czech Liga — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Slavia Praha | 9 | 7 | 2 | 0 | 23 |
| 2 | Slovan Liberec | 9 | 6 | 2 | 1 | 20 |
| 3 | Mlada Boleslav | 8 | 5 | 2 | 1 | 17 |
| 4 | Sigma Olomouc | 9 | 5 | 1 | 3 | 16 |
| 5 | Teplice | 9 | 5 | 1 | 3 | 16 |
| 6 | Zbrojovka Brno | 9 | 5 | 1 | 3 | 16 |
| 7 | Sparta Praha | 9 | 5 | 0 | 4 | 15 |
| 8 | FK Jablonec | 9 | 4 | 2 | 3 | 14 |
| 9 | Hradec Králové | 9 | 4 | 2 | 3 | 14 |
| 10 | Plzen | 9 | 2 | 4 | 3 | 10 |
| 11 | Baník Ostrava | 9 | 3 | 1 | 5 | 10 |
| 12 | Bohemians 1905 | 8 | 2 | 3 | 3 | 9 |
| 13 | Pardubice | 9 | 2 | 2 | 5 | 8 |
| 14 | Líšeň | 9 | 1 | 2 | 6 | 5 |
| 15 | Slovácko | 9 | 0 | 4 | 5 | 4 |
| 16 | Zlin | 9 | 0 | 1 | 8 | 1 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Slavia Praha | 9 | 25 | 6 | +19 | 23 |
| 2 | Sparta Praha | 9 | 18 | 12 | +6 | 15 |
| 3 | Mlada Boleslav | 8 | 17 | 9 | +8 | 17 |
| 4 | Teplice | 9 | 17 | 15 | +2 | 16 |
| 5 | Plzen | 9 | 17 | 17 | 0 | 10 |
| 6 | Sigma Olomouc | 9 | 16 | 13 | +3 | 16 |
| 7 | Slovan Liberec | 9 | 13 | 4 | +9 | 20 |
| 8 | Zbrojovka Brno | 9 | 12 | 12 | 0 | 16 |
| 9 | FK Jablonec | 9 | 11 | 9 | +2 | 14 |
| 10 | Bohemians 1905 | 8 | 9 | 11 | -2 | 9 |
| 11 | Pardubice | 9 | 9 | 14 | -5 | 8 |
| 12 | Hradec Králové | 9 | 8 | 9 | -1 | 14 |
| 13 | Zlin | 9 | 8 | 19 | -11 | 1 |
| 14 | Slovácko | 9 | 7 | 16 | -9 | 4 |
| 15 | Baník Ostrava | 9 | 7 | 17 | -10 | 10 |
| 16 | Líšeň | 9 | 7 | 18 | -11 | 5 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Slavia Praha | 9 | 15.5 | 7.2 | +8.3 | 23 |
| 2 | Slovan Liberec | 9 | 11.4 | 7.2 | +4.2 | 20 |
| 3 | FK Jablonec | 9 | 11.1 | 7.7 | +3.4 | 14 |
| 4 | Sparta Praha | 9 | 13.3 | 10.4 | +2.9 | 15 |
| 5 | Hradec Králové | 9 | 6.8 | 5.2 | +1.6 | 14 |
| 6 | Pardubice | 9 | 8.9 | 8.2 | +0.7 | 8 |
| 7 | Plzen | 9 | 8.9 | 8.4 | +0.5 | 10 |
| 8 | Zbrojovka Brno | 9 | 7.6 | 7.3 | +0.3 | 16 |
| 9 | Sigma Olomouc | 9 | 8.4 | 8.3 | +0.1 | 16 |
| 10 | Teplice | 9 | 8.6 | 9.0 | -0.4 | 16 |
| 11 | Bohemians 1905 | 8 | 6.8 | 8.9 | -2.1 | 9 |
| 12 | Mlada Boleslav | 8 | 10.8 | 13.2 | -2.4 | 17 |
| 13 | Líšeň | 9 | 7.7 | 10.1 | -2.4 | 5 |
| 14 | Baník Ostrava | 9 | 11.0 | 14.7 | -3.7 | 10 |
| 15 | Slovácko | 9 | 7.5 | 12.4 | -4.9 | 4 |
| 16 | Zlin | 9 | 6.1 | 11.9 | -5.8 | 1 |