Estadísticas / Fútbol / Hungary. NB I / MTK Budapest vs Nyiregyhaza

MTK Budapest vs Nyiregyhaza Statistics & Analysis

May 02, 2026 - 11:00
1 1.29
1 1.04
xG Accuracy: 91%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Más / Menos de 2.5 Más de 2.5 Menos de 2.5 (2 goals) ✖ Incorrect
  • Ambos Equipos Marcarán BTTS Sí ✔ Correct
  • 1X2 MTK Budapest Dibujar ✖ Incorrect
  • Perspectivas de marcador exacto 1-1 1-1 ✔ Correct

Informe IA del partido

Resumen del partido IA

Pre-match snapshot for this fixture.

  • League: NB I
  • Fixture: MTK Budapest vs Nyiregyhaza
  • Kickoff: 2026-05-02 15:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): MTK Budapest 1.29 — Nyiregyhaza 1.04 (total xG ≈ 2.33)
  • Primary / headline line (Betting Primary Pick when shown): Over 2.5 goals
  • Model: 65.1% · Implied: 54.1% · Probability edge: +11.0 pts · Est. EV: +13.9%
  • BTTS (model): Yes 62.4% · No 37.6%
  • Correct score (top bin): 1-1 (9.8%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

1X2 can look balanced even when side markets show clearer structure.

Mejor apuesta y razones

The engine’s headline primary is: Over 2.5 goals.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

Edges shrink quickly if prices move; always re-check the number on your book.

FAQ

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

Factores de riesgo

  • 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%).

Metodología

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Narrative: Template sentence library with fixture-stable selection (no per-request LLM for this block).
  • Compliance: Educational framing only; not personalised advice.

Última actualización

May 01, 2026 (UTC)

¿Cómo usar esto?
  • Concéntrese en la línea principal cuando desee una idea viable.
  • No combine muchas púas de punta fina;Los bordes no se suman de manera confiable.
  • Trate las apuestas arriesgadas como jugadas opcionales y de alto riesgo únicamente.

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NB I NB IClasificación
# EQUIPO PJ G E P Pts
1 Gyori ETO FC 32 19 9 4 66
2 Ferencvarosi TC 32 20 5 7 65
3 Paks 32 14 8 10 50
4 Debreceni VSC 32 13 11 8 50
5 Zalaegerszegi TE 32 13 9 10 48
6 Puskas Academy 32 13 6 13 45
7 Ujpest 32 11 7 14 40
8 Kisvarda FC 32 11 7 14 40
9 Nyiregyhaza 32 10 9 13 39
10 MTK Budapest 32 9 10 13 37
11 Diosgyori VTK 32 6 10 16 28
12 Kazincbarcikai 32 6 3 23 21
# EQUIPO PJ GF GC +/- Pts
1 Gyori ETO FC 32 64 30 +34 66
2 Ferencvarosi TC 32 64 31 +33 65
3 Paks 32 60 45 +15 50
4 MTK Budapest 32 53 60 -7 37
5 Debreceni VSC 32 49 40 +9 50
6 Zalaegerszegi TE 32 49 40 +9 48
7 Ujpest 32 47 55 -8 40
8 Nyiregyhaza 32 45 55 -10 39
9 Puskas Academy 32 41 41 0 45
10 Diosgyori VTK 32 38 62 -24 28
11 Kisvarda FC 32 36 48 -12 40
12 Kazincbarcikai 32 29 68 -39 21
# EQUIPO PJ xG xGC +/- Pts
1 Ferencvarosi TC 32 20.8 11.2 +9.6 65
2 Zalaegerszegi TE 32 15.9 15.2 +0.7 48
3 Ujpest 32 15.3 14.8 +0.5 40
4 Gyori ETO FC 32 2.3 2.2 +0.1 66
5 Paks 32 16.4 16.4 0.0 50
6 Puskas Academy 32 14.3 15.0 -0.7 45
7 MTK Budapest 32 18.3 19.1 -0.8 37
8 Kisvarda FC 32 13.9 15.8 -1.9 40
9 Debreceni VSC 32 15.3 18.8 -3.5 50
10 Diosgyori VTK 32 14.2 18.1 -3.9 28
11 Nyiregyhaza 32 39
12 Kazincbarcikai 32 21