Vasas vs Ujpest: result 0-1 and analysis
Magyar KupaQuarter-finalsKick-off on April 5, 2017 at 06:30 PM (UTC)Hidegkuti Nándor Stadion, Budapest
Full time
What was the result of Vasas vs Ujpest?
Ujpest won 0-1 on April 5, 2017.
Goalscorers
- 45′N. AndrićUjpest
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vasas have 6 wins, 4 draws and 5 defeats; Ujpest have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | Debreceni VSC(home) | 2-3 | NB I |
| Mar 29, 2017 | Ujpest(away) | 2-1 | Magyar Kupa |
| Mar 16, 2017 | Szombathelyi Haladas(home) | 2-3 | NB I |
| Mar 11, 2017 | MTK Budapest(away) | 0-1 | NB I |
| Mar 4, 2017 | Mezokovesd-zsory(away) | 2-0 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | Diosgyori VTK(away) | 1-3 | NB I |
| Mar 29, 2017 | Vasas(home) | 1-2 | Magyar Kupa |
| Mar 11, 2017 | Budapest Honved(home) | 1-1 | NB I |
| Mar 4, 2017 | Ferencvarosi TC(home) | 0-1 | NB I |
| Mar 1, 2017 | Zalaegerszegi TE(home) | 2-0 | Magyar Kupa |
What does the head-to-head say?
Across the last 6 meetings: 2 Vasas wins, 1 draw, 3 Ujpest wins.
| Date | Score | Competition |
|---|---|---|
| Mar 29, 2017 | Ujpest 1-2 Vasas | Magyar Kupa |
| Nov 5, 2016 | Ujpest 2-2 Vasas | NB I |
| Aug 6, 2016 | Vasas 0-1 Ujpest | NB I |
| Apr 2, 2016 | Vasas 3-2 Ujpest | NB I |
| Oct 24, 2015 | Ujpest 2-0 Vasas | NB I |
| Jul 25, 2015 | Vasas 1-3 Ujpest | NB I |
How many goals should we expect?
Vasas score 1.8 and concede 1.3 goals per match over their last 15; Ujpest score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vasas | 1.8 | 1.3 | 3 | 10/15 | 10/15 |
| Ujpest | 1.5 | 1.4 | 3 | 11/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Vasas vs Ujpest?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy