The model missed the final outcome (Warta Poznań win 0–3).
The model had projected Lechia Gdansk at 42.9%, 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 Yes No ✖ Incorrect
- 1X2 Lechia Gdansk Warta Poznań ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 0-3 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Lechia Gdansk | 42.9% | 37.5% | +5.4 pp | Model Higher |
| Draw | 29.2% | 24.9% | +4.3 pp | Aligned |
| Warta Poznań | 27.9% | 37.6% | -9.7 pp | Market Higher |
The closing market estimates Warta Poznań's win probability at 37.6%, compared with the model's estimate of 27.9%, a difference of 9.7 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 Warta Poznań win 0–3.
Market Assessment
The market and model broadly agree on Warta Poznań. 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 2.60) — 3 goals materialised
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
Market lesson
The closing market differed from the model on Lechia Gdansk by 9.7 percentage points (52.6% vs model 42.9%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Jul 31, 2026 · 18:29 UTC Forecast generated
- Model 1X2 · Lechia Gdansk 42.9% · Draw 29.2% · Warta Poznań 27.9%
- xG · Lechia Gdansk 1.46 — Warta Poznań 1.14
-
Jul 31, 2026 · 18:04 UTC Opening odds snapshot PRE30
- 1X2 odds · Lechia Gdansk 2.54 · Draw 3.83 · Warta Poznań 2.53
- Implied 1X2 · Lechia Gdansk 37.5% · Draw 24.9% · Warta Poznań 37.6%
- Bookmaker · Pinnacle
-
Jul 31, 2026 · 18:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Lechia Gdansk 2.54 · Draw 3.83 · Warta Poznań 2.53
- Implied 1X2 · Lechia Gdansk 37.5% · Draw 24.9% · Warta Poznań 37.6%
- Bookmaker · Pinnacle
-
Jul 31, 2026 · 18:30 UTC Kickoff
-
FT Full-time result Warta Poznań 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: 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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I Liga — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Pogoń Grod. Mazowiecki | 9 | 5 | 3 | 1 | 18 |
| 2 | Nieciecza | 9 | 5 | 1 | 3 | 16 |
| 3 | Warta Poznań | 9 | 5 | 0 | 4 | 15 |
| 4 | ŁKS Łódź | 9 | 4 | 3 | 2 | 15 |
| 5 | Miedz Legnica | 9 | 4 | 2 | 3 | 14 |
| 6 | Polonia Warszawa | 9 | 4 | 2 | 3 | 14 |
| 7 | Stal Rzeszów | 9 | 4 | 2 | 3 | 14 |
| 8 | Lechia Gdansk | 9 | 4 | 1 | 4 | 13 |
| 9 | Chrobry Głogów | 9 | 3 | 3 | 3 | 12 |
| 10 | Pogoń Siedlce | 8 | 3 | 3 | 2 | 12 |
| 11 | Ruch Chorzów | 9 | 3 | 3 | 3 | 12 |
| 12 | Arka Gdynia | 9 | 3 | 2 | 4 | 11 |
| 13 | Unia Skierniewice | 9 | 3 | 1 | 5 | 10 |
| 14 | Odra Opole | 9 | 2 | 3 | 4 | 9 |
| 15 | Polonia Bytom | 9 | 1 | 6 | 2 | 9 |
| 16 | Stal Mielec | 9 | 2 | 3 | 4 | 9 |
| 17 | Podbeskidzie | 9 | 0 | 8 | 1 | 8 |
| 18 | Puszcza Niepołomice | 8 | 2 | 0 | 6 | 6 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Warta Poznań | 9 | 17 | 13 | +4 | 15 |
| 2 | Lechia Gdansk | 9 | 17 | 15 | +2 | 13 |
| 3 | Pogoń Grod. Mazowiecki | 9 | 15 | 8 | +7 | 18 |
| 4 | Polonia Warszawa | 9 | 15 | 12 | +3 | 14 |
| 5 | Miedz Legnica | 9 | 14 | 9 | +5 | 14 |
| 6 | Nieciecza | 9 | 14 | 12 | +2 | 16 |
| 7 | Polonia Bytom | 9 | 14 | 17 | -3 | 9 |
| 8 | Stal Mielec | 9 | 14 | 23 | -9 | 9 |
| 9 | ŁKS Łódź | 9 | 13 | 9 | +4 | 15 |
| 10 | Podbeskidzie | 9 | 12 | 14 | -2 | 8 |
| 11 | Chrobry Głogów | 9 | 11 | 8 | +3 | 12 |
| 12 | Arka Gdynia | 9 | 11 | 11 | 0 | 11 |
| 13 | Stal Rzeszów | 9 | 10 | 15 | -5 | 14 |
| 14 | Unia Skierniewice | 9 | 10 | 15 | -5 | 10 |
| 15 | Pogoń Siedlce | 8 | 9 | 7 | +2 | 12 |
| 16 | Ruch Chorzów | 9 | 9 | 11 | -2 | 12 |
| 17 | Puszcza Niepołomice | 8 | 8 | 12 | -4 | 6 |
| 18 | Odra Opole | 9 | 7 | 9 | -2 | 9 |