Paks vs Budafoki LC: result 4-1 and analysis
NB IRegular Season - 20Kick-off on February 7, 2021 at 01:10 PM (UTC)Paksi FC Stadion, Paks
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What was the result of Paks vs Budafoki LC?
Paks won 4-1 on February 7, 2021.
Goalscorers
- 3′M. JagodicsPaks (o.g.)
- 19′J. SzabóPaks
- 55′J. HahnPaks (pen.)
- 62′R. TakácsBudafoki LC
- 90′Á. SzendreiPaks
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paks have 7 wins, 4 draws and 4 defeats; Budafoki LC have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2021 | Budapest Honved(away) | 1-1 | NB I |
| Jan 31, 2021 | Zalaegerszegi TE(away) | 4-4 | NB I |
| Jan 24, 2021 | Diosgyori VTK(home) | 2-1 | NB I |
| Dec 19, 2020 | MTK Budapest(away) | 1-3 | NB I |
| Dec 16, 2020 | Ferencvarosi TC(home) | 1-3 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2021 | Zalaegerszegi TE(home) | 3-1 | NB I |
| Jan 31, 2021 | Diosgyori VTK(away) | 1-1 | NB I |
| Jan 27, 2021 | Ferencvarosi TC(home) | 0-3 | NB I |
| Jan 24, 2021 | MTK Budapest(home) | 2-2 | NB I |
| Dec 23, 2020 | Budapest Honved(home) | 1-2 | NB I |
What does the head-to-head say?
Across the last 1 meetings: 1 Paks win(s), 0 draw(s), 0 Budafoki LC win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 1, 2020 | Budafoki LC 2-3 Paks | NB I |
How many goals should we expect?
Paks score 2.1 and concede 1.8 goals per match over their last 15; Budafoki LC score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paks | 2.1 | 1.8 | 2 | 13/15 | 11/15 |
| Budafoki LC | 1.3 | 1.8 | 1 | 11/15 | 11/15 |
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