Balmazujvaros vs Soproni VSE: result 2-1 and analysis
NB IIRegular Season - 7Kick-off on September 19, 2015 at 02:00 PM (UTC)Balmazújvárosi Városi Sportpálya, Balmazújváros
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What was the result of Balmazujvaros vs Soproni VSE?
Balmazujvaros won 2-1 on September 19, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Balmazujvaros have 8 wins, 5 draws and 2 defeats; Soproni VSE have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2015 | Zalaegerszegi TE(away) | 0-2 | NB II |
| Aug 29, 2015 | Siofok(away) | 0-0 | NB II |
| Aug 22, 2015 | VAC(home) | 1-0 | NB II |
| Aug 15, 2015 | Dunaújváros-Pálhalma(home) | 3-1 | NB II |
| Aug 12, 2015 | Bölcskei(away) | 4-2 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2015 | VAC(home) | 1-0 | NB II |
| Aug 29, 2015 | Dunaújváros-Pálhalma(away) | 1-2 | NB II |
| Aug 22, 2015 | Mezokovesd-zsory(home) | 0-0 | NB II |
| Aug 15, 2015 | Budaörs(away) | 2-3 | NB II |
| Aug 12, 2015 | Tatabánya(away) | 2-0 | Magyar Kupa |
What does the head-to-head say?
Across the last 4 meetings: 1 Balmazujvaros win(s), 2 draw(s), 1 Soproni VSE win(s).
| Date | Score | Competition |
|---|---|---|
| May 31, 2015 | Balmazujvaros 1-1 Soproni VSE | NB II |
| Nov 22, 2014 | Soproni VSE 0-2 Balmazujvaros | NB II |
| May 10, 2014 | Soproni VSE 2-1 Balmazujvaros | NB II |
| Nov 3, 2013 | Balmazujvaros 3-3 Soproni VSE | NB II |
Last archived meeting: Balmazujvaros vs Soproni VSE on May 31, 2015
How many goals should we expect?
Balmazujvaros score 1.6 and concede 0.9 goals per match over their last 15; Soproni VSE score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Balmazujvaros | 1.6 | 0.9 | 6 | 8/15 | 5/15 |
| Soproni VSE | 1.3 | 1.1 | 6 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
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