MTE 1904 vs Puskas Academy: result 0-2 and analysis
Magyar Kupa3rd RoundKick-off on September 16, 2023 at 01:00 PM (UTC)Wittmann Antal park, Mosonmagyaróvár
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What was the result of MTE 1904 vs Puskas Academy?
Puskas Academy won 0-2 on September 16, 2023.
Goalscorers
- 32′M. SoisaloPuskas Academy
- 54′Z. GruberPuskas Academy
What is the recent form of both teams?
Over their last 15 matches in all competitions, MTE 1904 have 4 wins, 3 draws and 8 defeats; Puskas Academy have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2023 | Csakvar(away) | 0-2 | NB II |
| Aug 27, 2023 | BVSC(home) | 3-3 | NB II |
| Aug 19, 2023 | Gyirmot SE(away) | 2-2 | NB II |
| Aug 16, 2023 | Ajka(home) | 0-2 | NB II |
| Aug 13, 2023 | Vasas(away) | 1-5 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2023 | Mezokovesd-zsory(away) | 3-1 | NB I |
| Aug 26, 2023 | Kecskeméti TE(away) | 1-4 | NB I |
| Aug 18, 2023 | Fehérvár FC(home) | 2-2 | NB I |
| Aug 13, 2023 | Ferencvarosi TC(away) | 2-1 | NB I |
| Aug 4, 2023 | Ujpest(home) | 3-3 | NB I |
What does the head-to-head say?
Across the last 2 meetings: 1 MTE 1904 win, 1 draw, 0 Puskas Academy wins.
| Date | Score | Competition |
|---|---|---|
| Apr 23, 2017 | Puskas Academy 1-1 MTE 1904 | NB II |
| Oct 2, 2016 | MTE 1904 2-1 Puskas Academy | NB II |
Last archived meeting: Puskas Academy vs MTE 1904 on Apr 23, 2017
How many goals should we expect?
MTE 1904 score 1.0 and concede 1.8 goals per match over their last 15; Puskas Academy score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MTE 1904 | 1.0 | 1.8 | 3 | 7/15 | 8/15 |
| Puskas Academy | 1.5 | 1.8 | 3 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about MTE 1904 vs Puskas Academy?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy