The model missed the final outcome (Ślęza Wrocław win 0–2).
The model had projected Goczałkowice Zdrój at 36.1%, 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 Under 2.5 (2 goals) ✔ Correct
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Goczałkowice Zdrój Ślęza Wrocław ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-2 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Goczałkowice Zdrój | 36.1% | 50.4% | -14.3 pp | Market Higher |
| Draw | 29.6% | 23.5% | +6.2 pp | Model Higher |
| Ślęza Wrocław | 34.2% | 26.2% | +8.1 pp | Model Higher |
The closing market estimates Goczałkowice Zdrój's win probability at 50.4%, compared with the model's estimate of 36.1%, a difference of 14.3 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 Ślęza Wrocław win 0–2.
Market Assessment
The market is materially more optimistic about Goczałkowice Zdrój 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
- Under 2.5 goals aligned with the xG profile
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- 1X2: model leaned Goczałkowice Zdrój; match finished Ślęza Wrocław
Market lesson
The closing market differed from the model on Goczałkowice Zdrój by 14.3 percentage points (50.4% vs model 36.1%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 15, 2026 · 11:02 UTC Forecast generated
- Model 1X2 · Goczałkowice Zdrój 36.1% · Draw 29.7% · Ślęza Wrocław 34.2%
- xG · Goczałkowice Zdrój 1.32 — Ślęza Wrocław 1.28
-
Aug 15, 2026 · 10:34 UTC Opening odds snapshot PRE30
- 1X2 odds · Goczałkowice Zdrój 1.76 · Draw 3.78 · Ślęza Wrocław 3.39
- Implied 1X2 · Goczałkowice Zdrój 50.4% · Draw 23.5% · Ślęza Wrocław 26.2%
- Bookmaker · Pinnacle
-
Aug 15, 2026 · 11:02 UTC Closing snapshot recorded PRE1
- 1X2 odds · Goczałkowice Zdrój 1.76 · Draw 3.78 · Ślęza Wrocław 3.39
- Implied 1X2 · Goczałkowice Zdrój 50.4% · Draw 23.5% · Ślęza Wrocław 26.2%
- Bookmaker · Pinnacle
-
Aug 15, 2026 · 11:00 UTC Kickoff
-
FT Full-time result Ślęza Wrocław win · 0–2
-
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 (14 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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III Liga - Group 3 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Zagłębie Lubin II | 9 | 6 | 3 | 0 | 21 |
| 2 | Sparta Katowice | 9 | 6 | 2 | 1 | 20 |
| 3 | Odra Bytom Odrzański | 9 | 6 | 2 | 1 | 20 |
| 4 | Barycz Sułów | 9 | 6 | 1 | 2 | 19 |
| 5 | Zaglebie Sosnowiec | 9 | 5 | 1 | 3 | 16 |
| 6 | Górnik Polkowice | 9 | 4 | 2 | 3 | 14 |
| 7 | Karkonosze Jelenia Góra | 9 | 3 | 3 | 3 | 12 |
| 8 | Kluczbork | 9 | 4 | 0 | 5 | 12 |
| 9 | Warta Gorzów | 9 | 3 | 3 | 3 | 12 |
| 10 | Miedź Legnica II | 9 | 3 | 2 | 4 | 11 |
| 11 | ROW Rybnik | 9 | 3 | 2 | 4 | 11 |
| 12 | Stal Brzeg | 9 | 3 | 2 | 4 | 11 |
| 13 | Goczałkowice Zdrój | 9 | 3 | 2 | 4 | 11 |
| 14 | Stilon Gorzów | 9 | 2 | 4 | 3 | 10 |
| 15 | Rakow II | 9 | 2 | 3 | 4 | 9 |
| 16 | Ślęza Wrocław | 9 | 2 | 0 | 7 | 6 |
| 17 | Polonia Nysa | 9 | 1 | 2 | 6 | 5 |
| 18 | Carina Gubin | 9 | 1 | 2 | 6 | 5 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Miedź Legnica II | 9 | 23 | 18 | +5 | 11 |
| 2 | Zagłębie Lubin II | 9 | 19 | 9 | +10 | 21 |
| 3 | ROW Rybnik | 9 | 18 | 15 | +3 | 11 |
| 4 | Górnik Polkowice | 9 | 18 | 16 | +2 | 14 |
| 5 | Sparta Katowice | 9 | 16 | 6 | +10 | 20 |
| 6 | Stal Brzeg | 9 | 15 | 12 | +3 | 11 |
| 7 | Barycz Sułów | 9 | 14 | 8 | +6 | 19 |
| 8 | Zaglebie Sosnowiec | 9 | 14 | 9 | +5 | 16 |
| 9 | Stilon Gorzów | 9 | 14 | 13 | +1 | 10 |
| 10 | Ślęza Wrocław | 9 | 14 | 25 | -11 | 6 |
| 11 | Rakow II | 9 | 12 | 17 | -5 | 9 |
| 12 | Odra Bytom Odrzański | 9 | 11 | 4 | +7 | 20 |
| 13 | Goczałkowice Zdrój | 9 | 11 | 13 | -2 | 11 |
| 14 | Karkonosze Jelenia Góra | 9 | 10 | 7 | +3 | 12 |
| 15 | Kluczbork | 9 | 9 | 14 | -5 | 12 |
| 16 | Warta Gorzów | 9 | 9 | 15 | -6 | 12 |
| 17 | Polonia Nysa | 9 | 8 | 21 | -13 | 5 |
| 18 | Carina Gubin | 9 | 6 | 19 | -13 | 5 |