Mezokovesd-zsory vs Paks: result 1-3 and analysis
NB IRegular Season - 10Kick-off on September 21, 2016 at 05:00 PM (UTC)Városi Stadion, Mezőkövesd
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What was the result of Mezokovesd-zsory vs Paks?
Paks won 1-3 on September 21, 2016.
Goalscorers
- 13′Roland FrölichMezokovesd-zsory
- 19′Z. HarasztiPaks
- 41′L. BarthaPaks
- 56′J. HahnPaks
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mezokovesd-zsory have 8 wins, 4 draws and 3 defeats; Paks have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Diosgyori VTK(away) | 1-1 | NB I |
| Sep 14, 2016 | Rakamaz(away) | 2-0 | Magyar Kupa |
| Sep 10, 2016 | Budapest Honved(home) | 3-1 | NB I |
| Aug 21, 2016 | Ferencvarosi TC(away) | 2-2 | NB I |
| Aug 17, 2016 | Ujpest(home) | 0-2 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Gyirmot SE(home) | 0-0 | NB I |
| Sep 14, 2016 | Szekszárd(away) | 1-0 | Magyar Kupa |
| Sep 10, 2016 | Vasas(away) | 0-1 | NB I |
| Aug 21, 2016 | Szombathelyi Haladas(away) | 1-3 | NB I |
| Aug 17, 2016 | Diosgyori VTK(home) | 2-1 | NB I |
What does the head-to-head say?
Across the last 2 meetings: 0 Mezokovesd-zsory win(s), 2 draw(s), 0 Paks win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 12, 2014 | Mezokovesd-zsory 2-2 Paks | NB I |
| Sep 27, 2013 | Paks 1-1 Mezokovesd-zsory | NB I |
Last archived meeting: Mezokovesd-zsory vs Paks on Apr 12, 2014
How many goals should we expect?
Mezokovesd-zsory score 1.6 and concede 0.8 goals per match over their last 15; Paks score 0.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mezokovesd-zsory | 1.6 | 0.8 | 7 | 5/15 | 5/15 |
| Paks | 0.8 | 1.1 | 4 | 7/15 | 4/15 |
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