AI correctly predicted the Újpest II win.
The match finished 3–0, 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 (3 goals) ✔ Correct
- Both Teams To Score BTTS No No ✔ Correct
- 1X2 Újpest II Újpest II ✔ Correct
- Correct Score Insights 2-1, 1-1, 2-2, 1-2, 3-1 3-0 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Újpest II | 41.8% | 55.8% | -14.1 pp | Market Higher |
| Draw | 25.7% | 23.3% | +2.4 pp | Aligned |
| Pápai Perutz | 32.6% | 20.9% | +11.7 pp | Model Edge |
The closing market estimates Újpest II's win probability at 55.8%, compared with the model's estimate of 41.8%, a difference of 14.1 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 (Újpest II win 3–0).
Market Assessment
The market is materially more optimistic about Újpest II 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
- Expected goals projected a high-scoring match (ΣxG 2.70) — 3 goals materialised
- Both Teams To Score (No) matched the full-time result
- Over 2.5 goals aligned with the xG profile
What failed
- 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 Újpest II higher (55.8% vs model 41.8%, 14.1 pp), but the model's lean was validated (Újpest II win 3–0).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
May 17, 2026 · 15:00 UTC Forecast generated
- Model 1X2 · Újpest II 41.8% · Draw 25.7% · Pápai Perutz 32.6%
- xG · Újpest II 1.45 — Pápai Perutz 1.25
-
May 17, 2026 · 14:30 UTC Opening odds snapshot PRE30
- 1X2 odds · Újpest II 1.59 · Draw 3.81 · Pápai Perutz 4.25
- Implied 1X2 · Újpest II 55.8% · Draw 23.3% · Pápai Perutz 20.9%
- Bookmaker · Pinnacle
-
May 17, 2026 · 15:00 UTC Closing snapshot recorded PRE1
- 1X2 odds · Újpest II 1.59 · Draw 3.81 · Pápai Perutz 4.25
- Implied 1X2 · Újpest II 55.8% · Draw 23.3% · Pápai Perutz 20.9%
- Bookmaker · Pinnacle
-
May 17, 2026 · 09:00 UTC Kickoff
-
FT Full-time result Újpest II win · 3–0
-
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: 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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NB III - Northwest — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Gyirmot SE | 30 | 27 | 1 | 2 | 82 |
| 2 | Tatabánya | 30 | 20 | 2 | 8 | 62 |
| 3 | Dorogi FC | 30 | 18 | 4 | 8 | 58 |
| 4 | Puskás II | 30 | 17 | 3 | 10 | 54 |
| 5 | Komárom | 30 | 15 | 6 | 9 | 51 |
| 6 | Haladás VSE | 30 | 15 | 6 | 9 | 51 |
| 7 | MTE 1904 | 30 | 14 | 5 | 11 | 47 |
| 8 | Veszprém | 30 | 12 | 8 | 10 | 44 |
| 9 | Budaörs | 30 | 12 | 5 | 13 | 41 |
| 10 | Bicskei | 30 | 10 | 6 | 14 | 36 |
| 11 | Gyori ETO II | 30 | 10 | 4 | 16 | 34 |
| 12 | Újpest II | 30 | 9 | 7 | 14 | 34 |
| 13 | SC Sopron | 30 | 9 | 7 | 14 | 34 |
| 14 | Pápai Perutz | 30 | 6 | 4 | 20 | 22 |
| 15 | Balatonfüredi | 30 | 4 | 6 | 20 | 18 |
| 16 | Zsámbéki SK | 30 | 3 | 4 | 23 | 13 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Gyirmot SE | 30 | 106 | 20 | +86 | 82 |
| 2 | Tatabánya | 30 | 64 | 37 | +27 | 62 |
| 3 | Komárom | 30 | 59 | 45 | +14 | 51 |
| 4 | Puskás II | 30 | 58 | 37 | +21 | 54 |
| 5 | Budaörs | 30 | 53 | 51 | +2 | 41 |
| 6 | Bicskei | 30 | 50 | 51 | -1 | 36 |
| 7 | Dorogi FC | 30 | 49 | 34 | +15 | 58 |
| 8 | MTE 1904 | 30 | 48 | 33 | +15 | 47 |
| 9 | Gyori ETO II | 30 | 47 | 63 | -16 | 34 |
| 10 | Újpest II | 30 | 46 | 50 | -4 | 34 |
| 11 | Haladás VSE | 30 | 43 | 32 | +11 | 51 |
| 12 | SC Sopron | 30 | 43 | 58 | -15 | 34 |
| 13 | Pápai Perutz | 30 | 43 | 83 | -40 | 22 |
| 14 | Veszprém | 30 | 36 | 37 | -1 | 44 |
| 15 | Zsámbéki SK | 30 | 35 | 107 | -72 | 13 |
| 16 | Balatonfüredi | 30 | 20 | 62 | -42 | 18 |