7 August 2026, 15:30 UTC

MTK Budapest vs Puskas Academy NB I prediction & result

Budapest
Full time2 – 3

Final score: MTK Budapest 2-3 Puskas Academy.

Before kick-off the model made it 41% MTK Budapest, 33% draw, 26% Puskas Academy — fair odds of 2.44, 3.03 and 3.85.

Most likely scoreline: 1-0.

The model got this one wrong.

Published · updated

Has the model earned this number?

MTK Budapest at 41%: of 2,925 settled 40–50% forecasts, 46.1% came in (average 43.9%). It can be read literally. The full record.

How the model saw it, minute by minute

MTK Budapest3%Draw95%Puskas Academy2%

Rebuilt after the match from the model's pre-match expected goals, frozen in the log before kick-off, plus the score and cards as they stood at each minute — never anything later. A ball marks each of the 5 goals. The same replay scores the in-play model on the track record.

Match analysis

Match timeline

18'
⚽M. Kernassist: P. Dardai
🔁I. Beriashviliout: C. Belenyesi
22'
23'
⚽G. Harutyunyan
S. Radic
45+3'
45+3'
A. Nemeth
K. Laszlo
45+3'
🔁K. Laszloout: I. Bognar
46'
50'
M. Kern
52'
🔁P. Dardaiout: M. Soisalo
⚽G. Jurekassist: Z. Kerezsi
52'
56'
R. Orjan
63'
🔁A. Nemethout: L. Colley
63'
🔁M. Kernout: Z. Varga
🔁M. Klauszout: G. Komaromi
68'
69'
M. Okeke
⚽Z. Kerezsiassist: I. Bognar
78'
86'
🔁L. Duarteout: U. Nissila
🔁S. Radicout: V. Armalas
86'
90+8'
⚽L. Colleyassist: U. Nissila

Match stats — MTK Budapest vs Puskas Academy

58%Possession42%
17Shots18
9On target7
8Corners4

Line-ups

MTK Budapest 4-2-3-1
  • 1Patrik DemjénG
  • 2Benedek VarjuD
  • 4Ilia BeriashviliD
  • 55Stipe RadićD
  • 27Patrik KovácsD
  • 6Mihály KataM
  • 80Adrian ZeljkovićM
  • 11Gábor JurekM
  • 16Krisztián LászlóM
  • 20Zalán KerezsiM
  • 9Milán KlauszF
Substitutes
  • 18Csaba BelényesiD
  • 10István BognárM
  • 77György KomáromiM
  • 26Vilius ArmalasD
  • 24Tamás FadgyasG
  • 5Dániel HorváthD
  • 13Timóteus János MikolayD
  • 14Artúr HorváthM
  • 23Jakub PlšekM
Coach: Mate Pinezits
Puskas Academy 4-1-4-1
  • 72Bendegúz LehoczkiG
  • 96Roland OrjánD
  • 14Wojciech GollaD
  • 21Georgiy HarutyunyanD
  • 22Roland SzolnokiD
  • 6Laros DuarteM
  • 10Palkó DárdaiM
  • 4Michael OkekeM
  • 74Martin KernM
  • 8Dániel LukácsM
  • 90András NémethF
Substitutes
  • 20Mikael SoisaloF
  • 66Zsombor VargaM
  • 9Lamin ColleyF
  • 16Urho NissiläM
  • 24Tamás MarkekG
  • 80Bendegúz FarkasD
  • 76Barna PálD
  • 77Kevin MondovicsF
  • 88Bence VékonyM
Coach: Levente Babo

Form going into MTK Budapest vs Puskas Academy

MTK Budapest

All competitions we cover

  • D3-3away to Budapest Honved1 August 2026
  • W3-0Zalaegerszegi TE27 July 2026

Puskas Academy

All competitions we cover

  • L0-2Kisvarda FC31 July 2026
  • W2-0away to Debreceni VSC26 July 2026

Up to 5 matches before kick-off, most recent first; context, not the model's input. How to read this.

NB I table

#TeamPWDLGFGAGDPts
10MTK Budapest133461827-913
1Puskas Academy138051815+324

Where the two sides stand today, not on the day of this match. Full table

Head-to-head: MTK Budapest vs Puskas Academy

  • 15 May 2026Puskas Academy 2–2 MTK BudapestNB I
  • 14 February 2026MTK Budapest 2–2 Puskas AcademyNB I
  • 25 October 2025Puskas Academy 1–1 MTK BudapestNB I
  • 6 April 2025Puskas Academy 1–1 MTK BudapestNB I
  • 30 November 2024MTK Budapest 0–1 Puskas AcademyNB I

Leading scorers: MTK Budapest and Puskas Academy

MTK Budapest

GoalsAssists

  • G. Jurek71
  • Zalán Márk Kerezsi43

Puskas Academy

GoalsAssists

  • A. Németh52
  • P. Dárdai32

Top 3 by league goals this season; player availability is not in the model. How to read this.

The result against the call

Puskas Academy won 3–2 at MTK Budapest. The model had leaned towards a win for MTK Budapest at 41% and given a win for Puskas Academy 26%. At that figure it expects the outcome about once in every 4 matches like this one. The goals: M. Kern 18' for Puskas Academy, G. Harutyunyan 23' for Puskas Academy, G. Jurek 52' for MTK Budapest, Z. Kerezsi 78' for MTK Budapest, L. Colley 90+8' for Puskas Academy.

Statistical estimate, not betting advice This prediction is generated from a statistical model for entertainment and informational purposes only. It does not guarantee any outcome and should not be used as the basis for placing a bet.