The model missed the final outcome (Jagiellonia II win 1–2).
The model had projected Łomża at 41.9%, 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 Yes ✔ Correct
- 1X2 Łomża Jagiellonia II ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 1-2 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Łomża | 41.9% | 48.8% | -6.9 pp | Market Higher |
| Draw | 29.3% | 24.8% | +4.5 pp | Aligned |
| Jagiellonia II | 28.8% | 26.4% | +2.5 pp | Aligned |
The closing market estimates Łomża's win probability at 48.8%, compared with the model's estimate of 41.9%, a difference of 6.9 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 Jagiellonia II win 1–2.
Market Assessment
The market and model broadly agree on Łomża. 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
- Both Teams To Score (Yes) matched the full-time result
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
- 1X2: model leaned Łomża; match finished Jagiellonia II
Market lesson
The closing market differed from the model on Łomża by 6.9 percentage points (48.8% vs model 41.9%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 05, 2026 · 14:14 UTC Forecast generated
- Model 1X2 · Łomża 41.9% · Draw 29.3% · Jagiellonia II 28.8%
- xG · Łomża 1.44 — Jagiellonia II 1.16
-
Sep 05, 2026 · 13:47 UTC Opening odds snapshot PRE30
- 1X2 odds · Łomża 1.82 · Draw 3.58 · Jagiellonia II 3.37
- Implied 1X2 · Łomża 48.8% · Draw 24.8% · Jagiellonia II 26.4%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 14:14 UTC Closing snapshot recorded PRE1
- 1X2 odds · Łomża 1.82 · Draw 3.58 · Jagiellonia II 3.37
- Implied 1X2 · Łomża 48.8% · Draw 24.8% · Jagiellonia II 26.4%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 14:00 UTC Kickoff
-
FT Full-time result Jagiellonia II win · 1–2
-
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: 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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III Liga - Group 1 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Weszlo | 9 | 8 | 1 | 0 | 25 |
| 2 | Mazovia Minsk Mazowiecki | 10 | 6 | 2 | 2 | 20 |
| 3 | Wigry Suwałki | 10 | 5 | 4 | 1 | 19 |
| 4 | Pelikan Łowicz | 10 | 6 | 1 | 3 | 19 |
| 5 | Wisła Płock II | 10 | 5 | 3 | 2 | 18 |
| 6 | Swit | 10 | 5 | 2 | 3 | 17 |
| 7 | Ząbkovia Ząbki | 10 | 5 | 1 | 4 | 16 |
| 8 | Jagiellonia II | 10 | 4 | 3 | 3 | 15 |
| 9 | Warta Sieradz | 9 | 4 | 2 | 3 | 14 |
| 10 | Widzew II | 9 | 4 | 1 | 4 | 13 |
| 11 | Lechia T. Mazowiecki | 10 | 4 | 1 | 5 | 13 |
| 12 | Olimpia Zambrów | 10 | 3 | 2 | 5 | 11 |
| 13 | ŁKS Łódź II | 9 | 3 | 1 | 5 | 10 |
| 14 | Olimpia Elbląg | 10 | 3 | 1 | 6 | 10 |
| 15 | Mławianka Mława | 10 | 3 | 1 | 6 | 10 |
| 16 | Troszyn | 9 | 1 | 3 | 5 | 6 |
| 17 | Polonia Lidzbark Warm. | 9 | 1 | 2 | 6 | 5 |
| 18 | Łomża | 10 | 0 | 3 | 7 | 3 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Mazovia Minsk Mazowiecki | 10 | 26 | 17 | +9 | 20 |
| 2 | Weszlo | 9 | 22 | 6 | +16 | 25 |
| 3 | Wisła Płock II | 10 | 22 | 17 | +5 | 18 |
| 4 | Jagiellonia II | 10 | 22 | 20 | +2 | 15 |
| 5 | Widzew II | 9 | 20 | 17 | +3 | 13 |
| 6 | Lechia T. Mazowiecki | 10 | 20 | 21 | -1 | 13 |
| 7 | Olimpia Zambrów | 10 | 20 | 26 | -6 | 11 |
| 8 | Mławianka Mława | 10 | 20 | 28 | -8 | 10 |
| 9 | Ząbkovia Ząbki | 10 | 19 | 18 | +1 | 16 |
| 10 | Wigry Suwałki | 10 | 18 | 10 | +8 | 19 |
| 11 | Warta Sieradz | 9 | 17 | 15 | +2 | 14 |
| 12 | Swit | 10 | 16 | 10 | +6 | 17 |
| 13 | Pelikan Łowicz | 10 | 16 | 12 | +4 | 19 |
| 14 | ŁKS Łódź II | 9 | 15 | 18 | -3 | 10 |
| 15 | Olimpia Elbląg | 10 | 14 | 20 | -6 | 10 |
| 16 | Polonia Lidzbark Warm. | 9 | 13 | 20 | -7 | 5 |
| 17 | Troszyn | 9 | 11 | 23 | -12 | 6 |
| 18 | Łomża | 10 | 10 | 23 | -13 | 3 |