Paks vs Fehérvár FC: result 1-1 and analysis
NB IRegular Season - 2Kick-off on July 24, 2016 at 04:00 PM (UTC)Paksi FC Stadion, Paks
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What was the result of Paks vs Fehérvár FC?
Paks and Fehérvár FC drew 1-1 on July 24, 2016.
Goalscorers
- 26′R. FeczesinFehérvár FC
- 52′Z. GévayPaks
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paks have 4 wins, 2 draws and 9 defeats; Fehérvár FC have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 17, 2016 | Debreceni VSC(away) | 1-1 | NB I |
| Apr 30, 2016 | Diosgyori VTK(away) | 2-0 | NB I |
| Apr 23, 2016 | Szombathelyi Haladas(home) | 2-3 | NB I |
| Apr 20, 2016 | Ujpest(away) | 1-1 | NB I |
| Apr 16, 2016 | Fehérvár FC(home) | 0-1 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2016 | Cukaricki(away) | 1-1 | UEFA Europa League |
| Jul 17, 2016 | Diosgyori VTK(home) | 1-2 | NB I |
| Jul 14, 2016 | Cukaricki(home) | 2-0 | UEFA Europa League |
| Jul 7, 2016 | Zaria Balti(away) | 0-2 | UEFA Europa League |
| Jun 30, 2016 | Zaria Balti(home) | 3-0 | UEFA Europa League |
What does the head-to-head say?
Across the last 6 meetings: 2 Paks win(s), 1 draw(s), 3 Fehérvár FC win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 16, 2016 | Paks 0-1 Fehérvár FC | NB I |
| Dec 12, 2015 | Fehérvár FC 1-0 Paks | NB I |
| Sep 12, 2015 | Paks 2-0 Fehérvár FC | NB I |
| May 10, 2015 | Paks 1-0 Fehérvár FC | NB I |
| Oct 25, 2014 | Fehérvár FC 2-0 Paks | NB I |
| Mar 9, 2014 | Paks 2-2 Fehérvár FC | NB I |
How many goals should we expect?
Paks score 1.2 and concede 1.5 goals per match over their last 15; Fehérvár FC score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paks | 1.2 | 1.5 | 3 | 6/15 | 5/15 |
| Fehérvár FC | 1.5 | 0.8 | 8 | 6/15 | 7/15 |
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