Pécsi MFC vs Puskas Academy: result 1-2 and analysis
NB IRegular Season - 10Kick-off on October 5, 2013 at 02:00 PM (UTC)PMFC Stadion, Pécs
Full time
What was the result of Pécsi MFC vs Puskas Academy?
Puskas Academy won 1-2 on October 5, 2013.
Goalscorers
- 4′L. LencsePuskas Academy
- 36′L. LencsePuskas Academy
- 88′Roland FrölichPécsi MFC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pécsi MFC have 6 wins, 2 draws and 7 defeats; Puskas Academy have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2013 | Ujpest(away) | 1-1 | NB I |
| Sep 20, 2013 | Pápa(home) | 1-3 | NB I |
| Sep 14, 2013 | Kecskeméti TE(away) | 5-2 | NB I |
| Sep 1, 2013 | Debreceni VSC(home) | 2-1 | NB I |
| Aug 24, 2013 | MTK Budapest(away) | 1-0 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2013 | Ferencvarosi TC(home) | 3-1 | NB I |
| Sep 25, 2013 | Soproni VSE(away) | 3-2 | Magyar Kupa |
| Sep 21, 2013 | Szombathelyi Haladas(away) | 1-2 | NB I |
| Sep 14, 2013 | Diosgyori VTK(home) | 0-2 | NB I |
| Aug 31, 2013 | Mezokovesd-zsory(away) | 1-3 | NB I |
How many goals should we expect?
Pécsi MFC score 1.4 and concede 1.8 goals per match over their last 15; Puskas Academy score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pécsi MFC | 1.4 | 1.8 | 1 | 11/15 | 10/15 |
| Puskas Academy | 1.3 | 1.7 | 3 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Puskas Academy | 10 | 7 | 0 | 3 | 15 | 10 | 21 |
A question about Pécsi MFC vs Puskas Academy?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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