Puskas Academy vs Dunaújváros-Pálhalma: result 3-2 and analysis
NB IRegular Season - 9Kick-off on September 27, 2014 at 04:30 PM (UTC)Puskás Akadémia Pancho Aréna, Felcsút
Full time
What was the result of Puskas Academy vs Dunaújváros-Pálhalma?
Puskas Academy won 3-2 on September 27, 2014.
Goalscorers
- 40′M. OroszDunaújváros-Pálhalma
- 45′Milan PerićDunaújváros-Pálhalma
- 61′M. LorentzPuskas Academy
- 69′D. SzakályPuskas Academy
- 78′P. TischlerPuskas Academy
What is the recent form of both teams?
Over their last 15 matches in all competitions, Puskas Academy have 4 wins, 2 draws and 9 defeats; Dunaújváros-Pálhalma have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2014 | Debreceni VSC(home) | 0-2 | Magyar Kupa |
| Sep 20, 2014 | Pápa(home) | 3-0 | NB I |
| Sep 14, 2014 | Ferencvarosi TC(away) | 1-2 | NB I |
| Sep 9, 2014 | Orosháza(away) | 5-1 | Magyar Kupa |
| Aug 30, 2014 | Fehérvár FC(away) | 0-3 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2014 | MTK Budapest(away) | 0-2 | NB I |
| Sep 13, 2014 | Nyiregyhaza(away) | 0-0 | NB I |
| Aug 31, 2014 | Gyori ETO FC(away) | 3-4 | NB I |
| Aug 27, 2014 | Ferencvarosi TC(away) | 0-2 | NB I |
| Aug 23, 2014 | Kecskeméti TE(away) | 0-0 | NB I |
How many goals should we expect?
Puskas Academy score 1.3 and concede 1.5 goals per match over their last 15; Dunaújváros-Pálhalma score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puskas Academy | 1.3 | 1.5 | 1 | 8/15 | 9/15 |
| Dunaújváros-Pálhalma | 1.2 | 1.3 | 5 | 5/15 | 8/15 |
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 | 5 | 4 | 0 | 1 | 9 | 6 | 12 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy