Puskas Academy vs Zalaegerszegi TE: result 1-1 and analysis
NB IIRegular Season - 24Kick-off on April 27, 2013 at 03:00 PM (UTC)Puskás Akadémia Pancho Aréna, Felcsút
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What was the result of Puskas Academy vs Zalaegerszegi TE?
Puskas Academy and Zalaegerszegi TE drew 1-1 on April 27, 2013.
Goalscorers
- 30′D. PavicevicZalaegerszegi TE
- 72′D. SzakályPuskas Academy
What is the recent form of both teams?
Over their last 15 matches in all competitions, Puskas Academy have 12 wins, 3 draws and 0 defeats; Zalaegerszegi TE have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2013 | SZTK-Erima(away) | 2-1 | NB II |
| Apr 13, 2013 | Ajka(home) | 1-0 | NB II |
| Apr 10, 2013 | Szombathelyi Haladás II(home) | 0-0 | NB II |
| Apr 6, 2013 | Gyirmot SE(away) | 1-0 | NB II |
| Mar 30, 2013 | Gyori ETO II(home) | 2-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2013 | Tatabánya(home) | 0-1 | NB II |
| Apr 20, 2013 | BKV Előre(home) | 1-0 | NB II |
| Apr 13, 2013 | Kaposvári Rákóczi FC II(away) | 1-0 | NB II |
| Apr 10, 2013 | Ajka(home) | 3-0 | NB II |
| Apr 6, 2013 | Veszprém(home) | 3-2 | NB II |
What does the head-to-head say?
Across the last 1 meetings: 1 Puskas Academy win(s), 0 draw(s), 0 Zalaegerszegi TE win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2012 | Zalaegerszegi TE 0-3 Puskas Academy | NB II |
Last archived meeting: Zalaegerszegi TE vs Puskas Academy on Oct 13, 2012
How many goals should we expect?
Puskas Academy score 1.9 and concede 0.3 goals per match over their last 15; Zalaegerszegi TE score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puskas Academy | 1.9 | 0.3 | 10 | 5/15 | 6/15 |
| Zalaegerszegi TE | 1.6 | 1.5 | 7 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
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