Paks vs Pécsi MFC: result 2-0 and analysis
NB IRegular Season - 23Kick-off on April 11, 2015 at 04:30 PM (UTC)Paksi FC Stadion, Paks
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What was the result of Paks vs Pécsi MFC?
Paks won 2-0 on April 11, 2015.
Goalscorers
- 11′Tamás BaloPaks (pen.)
- 33′N. KönyvesPaks
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paks have 6 wins, 4 draws and 5 defeats; Pécsi MFC have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2015 | Diosgyori VTK(away) | 2-1 | NB I |
| Mar 20, 2015 | Szombathelyi Haladas(home) | 1-2 | NB I |
| Mar 14, 2015 | Ujpest(away) | 2-1 | NB I |
| Mar 6, 2015 | Puskas Academy(home) | 2-1 | NB I |
| Feb 27, 2015 | MTK Budapest(away) | 1-3 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2015 | Debreceni VSC(home) | 0-0 | NB I |
| Apr 1, 2015 | Fehérvár FC(home) | 0-3 | Magyar Kupa |
| Mar 21, 2015 | Kecskeméti TE(away) | 0-1 | NB I |
| Mar 13, 2015 | Diosgyori VTK(away) | 2-2 | NB I |
| Mar 7, 2015 | Szombathelyi Haladas(home) | 2-1 | NB I |
What does the head-to-head say?
Across the last 6 meetings: 3 Paks win(s), 2 draw(s), 1 Pécsi MFC win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2014 | Pécsi MFC 1-1 Paks | NB I |
| Dec 7, 2013 | Pécsi MFC 1-1 Paks | NB I |
| Aug 2, 2013 | Paks 2-1 Pécsi MFC | NB I |
| Nov 23, 2012 | Pécsi MFC 1-3 Paks | NB I |
| Jul 28, 2012 | Paks 2-3 Pécsi MFC | NB I |
| Apr 21, 2012 | Pécsi MFC 1-2 Paks | NB I |
How many goals should we expect?
Paks score 1.4 and concede 1.3 goals per match over their last 15; Pécsi MFC score 0.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paks | 1.4 | 1.3 | 3 | 10/15 | 10/15 |
| Pécsi MFC | 0.9 | 1.8 | 3 | 6/15 | 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