Paks vs Vasas: result 2-0 and analysis
NB IRegular Season - 25Kick-off on March 12, 2016 at 02:30 PM (UTC)Paksi FC Stadion, Paks
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What was the result of Paks vs Vasas?
Paks won 2-0 on March 12, 2016.
Goalscorers
- 33′L. BertusPaks
- 80′J. HahnPaks
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paks have 6 wins, 3 draws and 6 defeats; Vasas have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2016 | Puskas Academy(away) | 1-2 | NB I |
| Mar 5, 2016 | Bekescsaba 1912(home) | 0-2 | NB I |
| Feb 27, 2016 | Vasas(home) | 3-0 | NB I |
| Feb 20, 2016 | Debreceni VSC(away) | 0-2 | NB I |
| Dec 12, 2015 | Fehérvár FC(away) | 0-1 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2016 | Debreceni VSC(home) | 0-0 | NB I |
| Mar 5, 2016 | Budapest Honved(away) | 0-0 | NB I |
| Feb 27, 2016 | Paks(away) | 0-3 | NB I |
| Feb 20, 2016 | Szombathelyi Haladas(home) | 1-0 | NB I |
| Feb 13, 2016 | Debreceni VSC(away) | 0-4 | NB I |
What does the head-to-head say?
Across the last 4 meetings: 3 Paks win(s), 0 draw(s), 1 Vasas win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 27, 2016 | Paks 3-0 Vasas | NB I |
| Oct 3, 2015 | Vasas 1-2 Paks | NB I |
| May 11, 2012 | Paks 2-1 Vasas | NB I |
| Oct 22, 2011 | Vasas 1-0 Paks | NB I |
How many goals should we expect?
Paks score 1.4 and concede 1.5 goals per match over their last 15; Vasas score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paks | 1.4 | 1.5 | 4 | 7/15 | 7/15 |
| Vasas | 0.9 | 1.9 | 4 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Paks sit 6th in NB I (7 points from 5 matches) and Vasas sit 3rd (8 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Vasas | 5 | 2 | 2 | 1 | 9 | 4 | 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