Paks vs Puskas Academy: result 4-1 and analysis
NB IRegular Season - 3Kick-off on August 10, 2013 at 05:00 PM (UTC)Paksi FC Stadion, Paks
Full time
What was the result of Paks vs Puskas Academy?
Paks won 4-1 on August 10, 2013.
Goalscorers
- 6′Gábor KovácsPaks
- 54′P. TischlerPuskas Academy (pen.)
- 59′Attila SimonPaks
- 73′Attila SimonPaks
- 87′Attila SimonPaks
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paks have 5 wins, 3 draws and 7 defeats; Puskas Academy have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 2, 2013 | Pécsi MFC(home) | 2-1 | NB I |
| Jul 27, 2013 | Ujpest(away) | 2-1 | NB I |
| May 31, 2013 | Kecskeméti TE(home) | 0-1 | NB I |
| May 25, 2013 | Kaposvar(away) | 0-1 | NB I |
| May 17, 2013 | Debreceni VSC(home) | 1-2 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2013 | Ujpest(home) | 1-2 | NB I |
| Jul 26, 2013 | Pápa(away) | 1-1 | NB I |
| Jun 1, 2013 | Soproni VSE(home) | 1-0 | NB II |
| May 24, 2013 | Tatabánya(home) | 0-1 | NB II |
| May 19, 2013 | BKV Előre(away) | 1-2 | NB II |
How many goals should we expect?
Paks score 1.3 and concede 1.4 goals per match over their last 15; Puskas Academy score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paks | 1.3 | 1.4 | 3 | 7/15 | 8/15 |
| Puskas Academy | 1.3 | 0.7 | 8 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Paks sit 5th in NB I (14 points from 9 matches) and Puskas Academy sit 1st (18 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Puskas Academy | 9 | 6 | 0 | 3 | 14 | 10 | 18 |
| 5 | Paks | 9 | 4 | 2 | 3 | 19 | 17 | 14 |
A question about Paks vs Puskas Academy?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy