Fehérvár FC vs Paks: result 4-0 and analysis
NB IRegular Season - 2Kick-off on July 24, 2011 at 02:00 PM (UTC)MOL Aréna Sóstó, Székesfehérvár
Full time
What was the result of Fehérvár FC vs Paks?
Fehérvár FC won 4-0 on July 24, 2011.
Goalscorers
- 4′D. VasiljevicFehérvár FC
- 38′Andre Alves Dos SantosFehérvár FC
- 68′D. VasiljevicFehérvár FC
- 87′N. NikolićFehérvár FC
Official lineup for Fehérvár FC vs Paks
The starting elevens fielded at kick-off.
Fehérvár FC
- 21Andre Alves Dos Santos
- 6D. Vasiljevic
- 7D. Szakály
- 11György Sándor
- 14N. Mitrović
- 29Walter Fernández Balufo
- 2Álvaro Brachi
- 5Zoltán Lipták
- 23T. Vaskó
- 33Gabor Horvath
- 12T. Tujvel
Paks
- 13D. Böde
- 17Jozsef Magasfoldi
- 6Tamas Sifter
- 22István Sipeki
- 27Norbert Heffler
- 39L. Bartha
- 7Tamás Balo
- 16Tibor Heffler
- 18A. Fiola
- 63László Eger
- 24N. Csernyánszki
What is the recent form of both teams?
Over their last 2 matches in all competitions, Fehérvár FC have 1 win, 0 draws and 1 defeat; Paks have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2011 | Sturm Graz(home) | 3-2 | UEFA Champions League |
| Jul 13, 2011 | Sturm Graz(away) | 0-2 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 17, 2011 | Kecskeméti TE(home) | 3-2 | NB I |
How many goals should we expect?
Fehérvár FC score 1.5 and concede 2.0 goals per match over their last 2; Paks score 3.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fehérvár FC | 1.5 | 2.0 | 0 | 1/2 | 1/2 |
| Paks | 3.0 | 2.0 | 0 | 1/1 | 1/1 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Paks | 13 | 6 | 2 | 5 | 24 | 22 | 20 |
A question about Fehérvár FC vs Paks?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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