AI correctly predicted the GKS Katowice win.
The match finished 5–0, 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 (5 goals) ✔ Correct
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 GKS Katowice GKS Katowice ✔ Correct
- Correct Score Insights 1-1, 1-2, 2-1, 0-1, 1-0 5-0 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| GKS Katowice | 39.6% | 48.1% | -8.5 pp | Market Higher |
| Draw | 26.7% | 25.7% | +1.0 pp | Aligned |
| Wisla Plock | 33.6% | 26.1% | +7.5 pp | Model Higher |
The closing market estimates GKS Katowice's win probability at 48.1%, compared with the model's estimate of 39.6%, a difference of 8.5 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 (GKS Katowice win 5–0).
Market Assessment
The market and model broadly agree on GKS Katowice. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 3.08) — 5 goals materialised
- Over 2.5 goals aligned with the xG profile
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- Exact score: outside the model's top score bins
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced GKS Katowice higher (48.1% vs model 39.6%, 8.5 pp), but the model's lean was validated (GKS Katowice win 5–0).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 23, 2026 · 19:30 UTC Forecast generated
- Model 1X2 · GKS Katowice 39.6% · Draw 26.7% · Wisla Plock 33.6%
- xG · GKS Katowice 1.53 — Wisla Plock 1.55
-
Aug 23, 2026 · 15:02 UTC Opening odds snapshot PRE30
- 1X2 odds · GKS Katowice 2.00 · Draw 3.74 · Wisla Plock 3.68
- Implied 1X2 · GKS Katowice 48.1% · Draw 25.7% · Wisla Plock 26.1%
- Bookmaker · Pinnacle
-
Aug 23, 2026 · 15:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · GKS Katowice 2.00 · Draw 3.74 · Wisla Plock 3.68
- Implied 1X2 · GKS Katowice 48.1% · Draw 25.7% · Wisla Plock 26.1%
- Bookmaker · Pinnacle
-
Aug 23, 2026 · 15:30 UTC Kickoff
-
FT Full-time result GKS Katowice win · 5–0
-
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: Pass
- No strong statistical edge
- Direction agrees with model lean
- Validation passed
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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Ekstraklasa — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Gornik Zabrze | 9 | 7 | 1 | 1 | 22 |
| 2 | Legia Warszawa | 9 | 5 | 4 | 0 | 19 |
| 3 | Lech Poznan | 8 | 6 | 1 | 1 | 19 |
| 4 | Wisla Krakow | 9 | 5 | 2 | 2 | 17 |
| 5 | Pogon Szczecin | 8 | 4 | 3 | 1 | 15 |
| 6 | Korona Kielce | 9 | 4 | 3 | 2 | 15 |
| 7 | Zaglebie Lubin | 9 | 4 | 3 | 2 | 15 |
| 8 | Piast Gliwice | 9 | 4 | 1 | 4 | 13 |
| 9 | GKS Katowice | 8 | 4 | 0 | 4 | 12 |
| 10 | Jagiellonia | 8 | 4 | 0 | 4 | 12 |
| 11 | Wisla Plock | 8 | 3 | 2 | 3 | 11 |
| 12 | Widzew Łódź | 9 | 1 | 6 | 2 | 9 |
| 13 | Cracovia Krakow | 9 | 2 | 2 | 5 | 8 |
| 14 | Radomiak Radom | 9 | 2 | 2 | 5 | 8 |
| 15 | Slask Wroclaw | 9 | 1 | 3 | 5 | 6 |
| 16 | Motor Lublin | 9 | 1 | 3 | 5 | 6 |
| 17 | Wieczysta Kraków | 8 | 1 | 2 | 5 | 5 |
| 18 | Raków Częstochowa | 9 | 1 | 0 | 8 | 3 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Legia Warszawa | 9 | 19 | 8 | +11 | 19 |
| 2 | Lech Poznan | 8 | 17 | 7 | +10 | 19 |
| 3 | Wisla Krakow | 9 | 17 | 12 | +5 | 17 |
| 4 | Gornik Zabrze | 9 | 16 | 8 | +8 | 22 |
| 5 | GKS Katowice | 8 | 16 | 13 | +3 | 12 |
| 6 | Piast Gliwice | 9 | 16 | 15 | +1 | 13 |
| 7 | Widzew Łódź | 9 | 13 | 13 | 0 | 9 |
| 8 | Pogon Szczecin | 8 | 12 | 6 | +6 | 15 |
| 9 | Korona Kielce | 9 | 12 | 10 | +2 | 15 |
| 10 | Jagiellonia | 8 | 12 | 13 | -1 | 12 |
| 11 | Raków Częstochowa | 9 | 12 | 21 | -9 | 3 |
| 12 | Zaglebie Lubin | 9 | 11 | 10 | +1 | 15 |
| 13 | Slask Wroclaw | 9 | 11 | 15 | -4 | 6 |
| 14 | Wieczysta Kraków | 8 | 11 | 17 | -6 | 5 |
| 15 | Wisla Plock | 8 | 9 | 12 | -3 | 11 |
| 16 | Cracovia Krakow | 9 | 9 | 14 | -5 | 8 |
| 17 | Motor Lublin | 9 | 9 | 15 | -6 | 6 |
| 18 | Radomiak Radom | 9 | 7 | 20 | -13 | 8 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Lech Poznan | 8 | 10.4 | 4.1 | +6.3 | 19 |
| 2 | Wisla Krakow | 9 | 12.0 | 7.9 | +4.1 | 17 |
| 3 | Legia Warszawa | 9 | 9.9 | 6.0 | +3.9 | 19 |
| 4 | Cracovia Krakow | 9 | 10.4 | 7.1 | +3.3 | 8 |
| 5 | Gornik Zabrze | 9 | 10.0 | 7.7 | +2.3 | 22 |
| 6 | Jagiellonia | 8 | 8.9 | 6.9 | +2.0 | 12 |
| 7 | Zaglebie Lubin | 9 | 8.4 | 8.2 | +0.2 | 15 |
| 8 | Widzew Łódź | 9 | 9.8 | 9.7 | +0.1 | 9 |
| 9 | Slask Wroclaw | 9 | 10.5 | 10.6 | -0.1 | 6 |
| 10 | Wieczysta Kraków | 8 | 9.1 | 9.6 | -0.5 | 5 |
| 11 | Motor Lublin | 9 | 8.7 | 9.2 | -0.5 | 6 |
| 12 | Pogon Szczecin | 8 | 8.1 | 8.9 | -0.8 | 15 |
| 13 | Wisla Plock | 8 | 9.6 | 10.8 | -1.2 | 11 |
| 14 | GKS Katowice | 8 | 8.8 | 10.6 | -1.8 | 12 |
| 15 | Korona Kielce | 9 | 5.4 | 8.7 | -3.3 | 15 |
| 16 | Piast Gliwice | 9 | 7.3 | 10.8 | -3.5 | 13 |
| 17 | Radomiak Radom | 9 | 7.4 | 11.2 | -3.8 | 8 |
| 18 | Raków Częstochowa | 9 | 9.9 | 16.5 | -6.6 | 3 |