Paks vs Fehérvár FC: result 2-1 and analysis
NB IRegular Season - 23Kick-off on March 11, 2023 at 04:00 PM (UTC)Paksi FC Stadion, Paks
Full time
What was the result of Paks vs Fehérvár FC?
Paks won 2-1 on March 11, 2023.
Goalscorers
- 29′B. VargaPaks
- 45′S. SchönFehérvár FC
- 56′B. VargaPaks (pen.)
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; Fehérvár FC have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2023 | Zalaegerszegi TE(home) | 3-1 | NB I |
| Mar 1, 2023 | Vasas(home) | 2-3 | Magyar Kupa |
| Feb 25, 2023 | Puskas Academy(away) | 4-1 | NB I |
| Feb 18, 2023 | Mezokovesd-zsory(home) | 0-2 | NB I |
| Feb 11, 2023 | Debreceni VSC(away) | 1-2 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2023 | Vasas(home) | 2-1 | NB I |
| Feb 25, 2023 | Zalaegerszegi TE(away) | 1-2 | NB I |
| Feb 18, 2023 | Puskas Academy(home) | 1-1 | NB I |
| Feb 10, 2023 | Mezokovesd-zsory(away) | 1-2 | NB I |
| Feb 4, 2023 | Debreceni VSC(home) | 1-1 | NB I |
What does the head-to-head say?
Across the last 6 meetings: 2 Paks win(s), 3 draw(s), 1 Fehérvár FC win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2022 | Fehérvár FC 1-1 Paks | NB I |
| Jul 31, 2022 | Paks 2-0 Fehérvár FC | NB I |
| May 14, 2022 | Fehérvár FC 2-2 Paks | NB I |
| Feb 25, 2022 | Paks 3-2 Fehérvár FC | NB I |
| Oct 29, 2021 | Fehérvár FC 2-1 Paks | NB I |
| Mar 3, 2021 | Fehérvár FC 2-2 Paks | NB I |
How many goals should we expect?
Paks score 1.7 and concede 1.5 goals per match over their last 15; Fehérvár FC score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paks | 1.7 | 1.5 | 3 | 10/15 | 12/15 |
| Fehérvár FC | 1.5 | 1.3 | 2 | 12/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Paks | 5 | 2 | 1 | 2 | 12 | 12 | 7 |
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