MTK Budapest vs Paks: result 1-0 and analysis
NB IRegular Season - 27Kick-off on May 10, 2013 at 03:00 PM (UTC)Hidegkuti Nándor Stadion, Budapest
Full time
What was the result of MTK Budapest vs Paks?
MTK Budapest won 1-0 on May 10, 2013.
Goalscorers
- 87′Z. PölöskeiMTK Budapest
What is the recent form of both teams?
Over their last 15 matches in all competitions, MTK Budapest have 7 wins, 3 draws and 5 defeats; Paks have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2013 | Fehérvár FC(away) | 0-2 | NB I |
| Apr 30, 2013 | Ujpest(away) | 1-1 | NB I |
| Apr 27, 2013 | Diosgyori VTK(home) | 2-0 | NB I |
| Apr 19, 2013 | Siofok(away) | 1-2 | NB I |
| Apr 13, 2013 | Szombathelyi Haladas(home) | 0-1 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2013 | Ferencvarosi TC(home) | 1-3 | NB I |
| Apr 26, 2013 | Gyori ETO FC(away) | 4-3 | NB I |
| Apr 20, 2013 | Fehérvár FC(away) | 0-2 | NB I |
| Apr 12, 2013 | Diosgyori VTK(home) | 1-0 | NB I |
| Apr 9, 2013 | Eger(away) | 2-2 | NB I |
What does the head-to-head say?
Across the last 1 meetings: 0 MTK Budapest win(s), 1 draw(s), 0 Paks win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2012 | Paks 0-0 MTK Budapest | NB I |
How many goals should we expect?
MTK Budapest score 1.4 and concede 0.9 goals per match over their last 15; Paks score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MTK Budapest | 1.4 | 0.9 | 7 | 6/15 | 6/15 |
| Paks | 1.6 | 1.7 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
MTK Budapest sit 4th in NB I (8 points from 5 matches) and Paks sit 6th (7 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | MTK Budapest | 5 | 2 | 2 | 1 | 11 | 8 | 8 |
| 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