AI correctly predicted the Iváncsa win.
The match finished 4–1, 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 Under 2.5 Over 2.5 (5 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Iváncsa Iváncsa ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 4-1 ✖ Incorrect
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 5 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 (5 goals)
- Exact score: outside the model's top score bins
Market lesson
The model's directional lean matched the full-time result (Iváncsa win 4–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
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Sep 21, 2026 · 01:58 UTC Forecast generated
- xG · Iváncsa 1.30 — Érdi VSE 1.30
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Sep 26, 2026 · 14:00 UTC Kickoff
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FT Full-time result Iváncsa win · 4–1
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FT Prediction validated Directional lean matched full-time result
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Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Pending
- No strong statistical edge
- Market has already priced much of the edge
- Validation pending
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 - Southwest — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Pécsi MFC | 8 | 8 | 0 | 0 | 24 |
| 2 | Budafoki LC | 7 | 5 | 1 | 1 | 16 |
| 3 | Kaposvar | 7 | 5 | 0 | 2 | 15 |
| 4 | PTE-PEAC | 7 | 4 | 2 | 1 | 14 |
| 5 | Majosi | 8 | 4 | 1 | 3 | 13 |
| 6 | MTK Budapest II | 7 | 4 | 0 | 3 | 12 |
| 7 | Ferencváros II | 7 | 3 | 2 | 2 | 11 |
| 8 | Siofok | 7 | 3 | 2 | 2 | 11 |
| 9 | Budaörs | 8 | 3 | 1 | 4 | 10 |
| 10 | Érdi VSE | 7 | 2 | 3 | 2 | 9 |
| 11 | Iváncsa | 7 | 3 | 0 | 4 | 9 |
| 12 | Dunaharaszti MTK | 8 | 2 | 2 | 4 | 8 |
| 13 | Sárbogárd | 8 | 1 | 1 | 6 | 4 |
| 14 | Paksi SE II | 8 | 0 | 3 | 5 | 3 |
| 15 | Szekszárd | 8 | 0 | 0 | 8 | 0 |
| 15 | Dunaujvaros FC | 1 | 0 | 0 | 1 | 0 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Pécsi MFC | 8 | 27 | 2 | +25 | 24 |
| 2 | MTK Budapest II | 7 | 21 | 12 | +9 | 12 |
| 3 | Kaposvar | 7 | 20 | 9 | +11 | 15 |
| 4 | Érdi VSE | 7 | 17 | 16 | +1 | 9 |
| 5 | Majosi | 8 | 17 | 17 | 0 | 13 |
| 6 | Ferencváros II | 7 | 15 | 11 | +4 | 11 |
| 7 | Budaörs | 8 | 15 | 25 | -10 | 10 |
| 8 | Budafoki LC | 7 | 14 | 6 | +8 | 16 |
| 9 | PTE-PEAC | 7 | 13 | 7 | +6 | 14 |
| 10 | Iváncsa | 7 | 13 | 18 | -5 | 9 |
| 11 | Siofok | 7 | 12 | 8 | +4 | 11 |
| 12 | Dunaharaszti MTK | 8 | 11 | 16 | -5 | 8 |
| 13 | Paksi SE II | 8 | 10 | 19 | -9 | 3 |
| 14 | Sárbogárd | 8 | 7 | 19 | -12 | 4 |
| 15 | Szekszárd | 8 | 3 | 30 | -27 | 0 |
| 16 | Dunaujvaros FC | 1 | 0 | 3 | -3 | 0 |