Siofok vs Soproni VSE: result 0-2 and analysis
NB IIRegular Season - 9Kick-off on October 3, 2015 at 01:00 PM (UTC)Révész Géza utcai stadion, Siófok
Full time
What was the result of Siofok vs Soproni VSE?
Soproni VSE won 0-2 on October 3, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Siofok have 4 wins, 3 draws and 8 defeats; Soproni VSE have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2015 | Ajka(away) | 1-2 | NB II |
| Sep 20, 2015 | Zalaegerszegi TE(home) | 1-0 | NB II |
| Sep 12, 2015 | Soroksar(away) | 1-1 | NB II |
| Aug 29, 2015 | Balmazujvaros(home) | 0-0 | NB II |
| Aug 22, 2015 | Kisvarda FC(away) | 0-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2015 | Zalaegerszegi TE(home) | 1-2 | NB II |
| Sep 23, 2015 | BKV Előre(away) | 3-0 | Magyar Kupa |
| Sep 19, 2015 | Balmazujvaros(away) | 1-2 | NB II |
| Sep 12, 2015 | VAC(home) | 1-0 | NB II |
| Aug 29, 2015 | Dunaújváros-Pálhalma(away) | 1-2 | NB II |
What does the head-to-head say?
Across the last 4 meetings: 1 Siofok win, 0 draws, 3 Soproni VSE wins.
| Date | Score | Competition |
|---|---|---|
| May 2, 2015 | Soproni VSE 3-1 Siofok | NB II |
| Oct 25, 2014 | Siofok 1-2 Soproni VSE | NB II |
| May 31, 2014 | Siofok 4-0 Soproni VSE | NB II |
| Nov 23, 2013 | Soproni VSE 1-0 Siofok | NB II |
How many goals should we expect?
Siofok score 1.2 and concede 1.8 goals per match over their last 15; Soproni VSE score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Siofok | 1.2 | 1.8 | 3 | 9/15 | 9/15 |
| Soproni VSE | 1.4 | 1.2 | 6 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Siofok vs Soproni VSE?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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