Vasas vs Soproni VSE: result 1-2 and analysis
NB IIRegular Season - 14Kick-off on November 15, 2014 at 03:00 PM (UTC)Illovszky Rudolf Stadion, Budapest
Full time
What was the result of Vasas vs Soproni VSE?
Soproni VSE won 1-2 on November 15, 2014.
Goalscorers
- 48′I. DemeSoproni VSE
- 62′István EszlátyiSoproni VSE
- 72′M. ÁdámVasas
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vasas have 10 wins, 0 draws and 5 defeats; Soproni VSE have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2014 | Csakvar(away) | 6-2 | NB II |
| Oct 31, 2014 | Zalaegerszegi TE(home) | 2-0 | NB II |
| Oct 25, 2014 | Cegledi VSE(away) | 0-2 | NB II |
| Oct 18, 2014 | Soroksar(home) | 3-0 | NB II |
| Oct 12, 2014 | Szeged 2011(away) | 1-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2014 | Gyirmot SE(home) | 1-1 | NB II |
| Nov 2, 2014 | Mezokovesd-zsory(away) | 0-2 | NB II |
| Oct 25, 2014 | Siofok(away) | 2-1 | NB II |
| Oct 18, 2014 | Csakvar(home) | 2-0 | NB II |
| Oct 12, 2014 | Zalaegerszegi TE(away) | 1-2 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 1 Vasas win(s), 1 draw(s), 0 Soproni VSE win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 5, 2014 | Soproni VSE 0-0 Vasas | NB II |
| Sep 28, 2013 | Vasas 1-0 Soproni VSE | NB II |
How many goals should we expect?
Vasas score 2.5 and concede 1.5 goals per match over their last 15; Soproni VSE score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vasas | 2.5 | 1.5 | 5 | 7/15 | 9/15 |
| Soproni VSE | 1.3 | 1.7 | 1 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Vasas | 30 | 20 | 4 | 6 | 59 | 26 | 64 |
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