Gyori ETO FC vs Puskas Academy: result 2-2 and analysis
NB IRegular Season - 12Kick-off on October 27, 2013 at 05:30 PM (UTC)ETO Park, Győr
Full time
What was the result of Gyori ETO FC vs Puskas Academy?
Gyori ETO FC and Puskas Academy drew 2-2 on October 27, 2013.
Goalscorers
- 5′N. AndrićGyori ETO FC
- 7′L. LencsePuskas Academy
- 39′R. KronaveterGyori ETO FC
- 75′U. NikolićPuskas Academy
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gyori ETO FC have 7 wins, 4 draws and 4 defeats; Puskas Academy have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2013 | Ujpest(away) | 2-1 | NB I |
| Oct 5, 2013 | Pápa(home) | 4-1 | NB I |
| Sep 28, 2013 | Kecskeméti TE(away) | 0-1 | NB I |
| Sep 22, 2013 | Debreceni VSC(home) | 3-0 | NB I |
| Sep 15, 2013 | MTK Budapest(away) | 2-1 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 25, 2013 | Soproni VSE(away) | 3-2 | Magyar Kupa |
How many goals should we expect?
Gyori ETO FC score 1.6 and concede 1.1 goals per match over their last 15; Puskas Academy score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gyori ETO FC | 1.6 | 1.1 | 3 | 10/15 | 8/15 |
| Puskas Academy | 1.2 | 1.7 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Gyori ETO FC sit 2nd in NB I (8 points from 4 matches) and Puskas Academy sit 1st (12 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Puskas Academy | 5 | 4 | 0 | 1 | 9 | 6 | 12 |
| 2 | Gyori ETO FC | 4 | 2 | 2 | 0 | 10 | 3 | 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