Predictions / Football / Hungary. NB II / Diosgyori VTK vs Ajka

Prediction Audit: Diosgyori VTK vs Ajka Prediction, Odds & AI Betting Tips

Aug 15, 2026 - 15:30
1 1.41
1 1.19
xG Accuracy: 85%

The model missed the final outcome (Draw 1–1).

The model had projected Diosgyori VTK at 40.4%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 Yes ✔ Correct
  • 1X2 Diosgyori VTK Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 0-0 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Diosgyori VTK higher than the statistical model.

Largest probability gap: Diosgyori VTK -14.8 pp

Outcome Model Closing Market Difference Signal
Diosgyori VTK 40.4% 55.2% -14.8 pp Market Higher
Draw 29.4% 25.1% +4.3 pp Aligned
Ajka 30.1% 19.7% +10.4 pp Model Edge

The closing market estimates Diosgyori VTK's win probability at 55.2%, compared with the model's estimate of 40.4%, a difference of 14.8 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 Draw 1–1.

Market Assessment

The market is materially more optimistic about Diosgyori VTK 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

  • Both Teams To Score (Yes) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Diosgyori VTK; match finished Draw

Market lesson

The closing market differed from the model on Diosgyori VTK by 14.8 percentage points (55.2% vs model 40.4%) — in this case the market view proved closer.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Aug 15, 2026 · 15:30 UTC Forecast generated
    • Model 1X2 · Diosgyori VTK 40.5% · Draw 29.4% · Ajka 30.1%
    • xG · Diosgyori VTK 1.41 — Ajka 1.19
  2. Aug 15, 2026 · 15:21 UTC Opening odds snapshot PRE10
    • 1X2 odds · Diosgyori VTK 1.64 · Draw 3.61 · Ajka 4.60
    • Implied 1X2 · Diosgyori VTK 55.2% · Draw 25.1% · Ajka 19.7%
    • Bookmaker · Pinnacle
  3. Aug 15, 2026 · 15:30 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Diosgyori VTK 1.64 · Draw 3.61 · Ajka 4.60
    • Implied 1X2 · Diosgyori VTK 55.2% · Draw 25.1% · Ajka 19.7%
    • Bookmaker · Pinnacle
  4. Aug 15, 2026 · 15:30 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 56/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 26/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 09, 2026 · 02:48 UTC Snapshot ID: dp-3361365

Closing Odds 1.64
AI Fair Odds —
CLV Pending
Final Result Draw · Diosgyori VTK 1–1 Ajka
Prediction ✖ Missed
Decision Grade C

Model 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.

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: NB II
  • Fixture: Diosgyori VTK vs Ajka
  • Kickoff: 2026-08-15 15:30:00
  • 1X2 (model): Home 40.5% · Draw 29.4% · Away 30.1%
  • xG (showing): Diosgyori VTK 1.41 — Ajka 1.19 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.2% · No 45.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.2% · No 45.8%
  • Correct score (top bin): 1-1 (12.5%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Monitor

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 29, 2026 (UTC)

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NB II NB II — Standings
# TEAM MP W D L PTS
1 Soroksar 8 6 2 0 20
2 Kecskeméti TE 8 5 2 1 17
3 Tiszakecske FC 8 4 4 0 16
4 Ajka 7 4 2 1 14
5 Kazincbarcikai 8 3 4 1 13
6 Gyirmot SE 8 4 1 3 13
7 Mezokovesd-zsory 7 4 0 3 12
8 Karcag SE 8 2 5 1 11
9 Szentlőrinc SE 7 3 1 3 10
10 Fehérvár FC 8 3 0 5 9
11 Nagykanizsai ULE 8 3 0 5 9
12 Diosgyori VTK 7 2 1 4 7
13 Szeged 2011 7 1 3 3 6
14 BVSC 7 1 1 5 4
15 Kozarmisleny FC 8 1 1 6 4
16 Csakvar 8 1 1 6 4
# TEAM MP GS GC +/- PTS
1 Soroksar 8 23 7 +16 20
2 Tiszakecske FC 8 17 10 +7 16
3 Kecskeméti TE 8 15 8 +7 17
4 Kazincbarcikai 8 13 11 +2 13
5 Karcag SE 8 13 11 +2 11
6 Gyirmot SE 8 13 14 -1 13
7 Mezokovesd-zsory 7 11 8 +3 12
8 Fehérvár FC 8 11 11 0 9
9 Ajka 7 9 6 +3 14
10 Szentlőrinc SE 7 8 9 -1 10
11 Diosgyori VTK 7 8 15 -7 7
12 Csakvar 8 8 19 -11 4
13 Nagykanizsai ULE 8 7 10 -3 9
14 Szeged 2011 7 6 8 -2 6
15 Kozarmisleny FC 8 6 16 -10 4
16 BVSC 7 4 9 -5 4