Bajai vs Puskas Academy: result 2-5 and analysis
NB IIRegular Season - 30Kick-off on May 1, 2013 at 03:30 PM (UTC)Vasvári Pál utcai stadion, Baja
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What was the result of Bajai vs Puskas Academy?
Puskas Academy won 2-5 on May 1, 2013.
Goalscorers
- 4′Robert ZsolnaiPuskas Academy (pen.)
- 11′D. SzakályPuskas Academy
- 13′D. SzakályPuskas Academy
- 25′A. MargiticsPuskas Academy
- 50′D. BalázsBajai
- 58′L. KleinheislerPuskas Academy
- 75′M. SzávujBajai
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bajai have 2 wins, 2 draws and 11 defeats; Puskas Academy have 11, 4 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2013 | Ajka(home) | 0-1 | NB II |
| Apr 20, 2013 | Gyirmot SE(away) | 0-1 | NB II |
| Apr 13, 2013 | Gyori ETO II(home) | 2-1 | NB II |
| Apr 10, 2013 | Csakvar(home) | 0-4 | NB II |
| Apr 7, 2013 | Paksi SE II(away) | 2-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2013 | Zalaegerszegi TE(home) | 1-1 | NB II |
| 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 |
What does the head-to-head say?
Across the last 1 meetings: 0 Bajai win(s), 0 draw(s), 1 Puskas Academy win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 24, 2012 | Puskas Academy 3-0 Bajai | NB II |
Last archived meeting: Puskas Academy vs Bajai on Nov 24, 2012
How many goals should we expect?
Bajai score 0.9 and concede 2.6 goals per match over their last 15; Puskas Academy score 1.7 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bajai | 0.9 | 2.6 | 1 | 8/15 | 10/15 |
| Puskas Academy | 1.7 | 0.4 | 9 | 6/15 | 5/15 |
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