Puskas Academy vs MTK Budapest: result 1-1 and analysis
NB IRegular Season - 13Kick-off on November 2, 2013 at 05:00 PM (UTC)Puskás Akadémia Pancho Aréna, Felcsút
Full time
What was the result of Puskas Academy vs MTK Budapest?
Puskas Academy and MTK Budapest drew 1-1 on November 2, 2013.
Goalscorers
- 50′P. TischlerPuskas Academy
- 90′Szabolcs VargaMTK Budapest
What is the recent form of both teams?
Over their last 15 matches in all competitions, Puskas Academy have 5 wins, 3 draws and 7 defeats; MTK Budapest have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2013 | Gyori ETO FC(away) | 2-2 | NB I |
| Oct 22, 2013 | Kecskeméti TE(home) | 0-0 | Magyar Kupa |
| Oct 19, 2013 | Fehérvár FC(away) | 0-3 | NB I |
| Oct 5, 2013 | Pécsi MFC(away) | 2-1 | NB I |
| Sep 28, 2013 | Ferencvarosi TC(home) | 3-1 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2013 | Szeged 2011(away) | 2-0 | Magyar Kupa |
| Oct 25, 2013 | Ujpest(home) | 0-1 | NB I |
| Oct 19, 2013 | Pápa(away) | 2-0 | NB I |
| Oct 5, 2013 | Kecskeméti TE(home) | 2-2 | NB I |
| Sep 29, 2013 | Debreceni VSC(away) | 0-1 | NB I |
How many goals should we expect?
Puskas Academy score 1.3 and concede 1.9 goals per match over their last 15; MTK Budapest score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puskas Academy | 1.3 | 1.9 | 2 | 10/15 | 11/15 |
| MTK Budapest | 1.1 | 1.1 | 4 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Puskas Academy sit 1st in NB I (12 points from 5 matches) and MTK Budapest sit 4th (8 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Puskas Academy | 5 | 4 | 0 | 1 | 9 | 6 | 12 |
| 4 | MTK Budapest | 5 | 2 | 2 | 1 | 11 | 8 | 8 |
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