Gyirmot SE vs Puskas Academy: result 0-1 and analysis
NB IIRegular Season - 21Kick-off on April 6, 2013 at 04:00 PM (UTC)Alcufer Stadion, Győr
Full time
What was the result of Gyirmot SE vs Puskas Academy?
Puskas Academy won 0-1 on April 6, 2013.
Goalscorers
- 60′Robert ZsolnaiPuskas Academy
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gyirmot SE have 7 wins, 3 draws and 5 defeats; Puskas Academy have 12, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2013 | Kaposvári Rákóczi FC II(home) | 3-2 | NB II |
| Mar 10, 2013 | Zalaegerszegi TE(home) | 2-1 | NB II |
| Mar 2, 2013 | SZTK-Erima(away) | 1-2 | NB II |
| Nov 24, 2012 | Ajka(away) | 2-2 | NB II |
| Nov 18, 2012 | Tatabánya(home) | 2-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2013 | Gyori ETO II(home) | 2-0 | NB II |
| Mar 23, 2013 | Paksi SE II(away) | 2-0 | NB II |
| Mar 9, 2013 | Kozarmisleny FC(away) | 1-1 | NB II |
| Mar 2, 2013 | Csakvar(home) | 2-1 | NB II |
| Nov 24, 2012 | Bajai(home) | 3-0 | NB II |
What does the head-to-head say?
Across the last 1 meetings: 0 Gyirmot SE win(s), 0 draw(s), 1 Puskas Academy win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2012 | Puskas Academy 5-2 Gyirmot SE | NB II |
Last archived meeting: Puskas Academy vs Gyirmot SE on Sep 22, 2012
How many goals should we expect?
Gyirmot SE score 2.0 and concede 1.7 goals per match over their last 15; Puskas Academy score 2.3 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gyirmot SE | 2.0 | 1.7 | 3 | 12/15 | 12/15 |
| Puskas Academy | 2.3 | 0.4 | 10 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Gyirmot SE | 5 | 3 | 1 | 1 | 9 | 8 | 10 |
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