Tatabánya vs Soproni VSE: result 1-2 and analysis
NB IIRegular Season - 11Kick-off on October 26, 2013 at 12:30 PM (UTC)Grosics Gyula Stadion, Tatabánya
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What was the result of Tatabánya vs Soproni VSE?
Soproni VSE won 1-2 on October 26, 2013.
Goalscorers
- 43′S. KisTatabánya
- 51′N. BaranyaiSoproni VSE
- 63′Gabor VargaSoproni VSE
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tatabánya have 6 wins, 1 draws and 8 defeats; Soproni VSE have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2013 | Kozarmisleny FC(away) | 0-1 | NB II |
| Oct 12, 2013 | Cegledi VSE(home) | 2-1 | NB II |
| Oct 5, 2013 | SZTK-Erima(away) | 0-3 | NB II |
| Sep 28, 2013 | Zalaegerszegi TE(home) | 1-2 | NB II |
| Sep 21, 2013 | Kisvarda FC(away) | 0-5 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2013 | Cegledi VSE(home) | 2-3 | NB II |
| Oct 12, 2013 | Zalaegerszegi TE(away) | 0-4 | NB II |
| Oct 5, 2013 | Nyiregyhaza(home) | 0-1 | NB II |
| Sep 28, 2013 | Vasas(away) | 0-1 | NB II |
| Sep 25, 2013 | Puskas Academy(home) | 2-3 | Magyar Kupa |
What does the head-to-head say?
Across the last 4 meetings: 1 Tatabánya win(s), 2 draw(s), 1 Soproni VSE win(s).
| Date | Score | Competition |
|---|---|---|
| May 1, 2013 | Soproni VSE 3-0 Tatabánya | NB II |
| Nov 24, 2012 | Tatabánya 0-0 Soproni VSE | NB II |
| May 26, 2012 | Soproni VSE 0-3 Tatabánya | NB II |
| Nov 19, 2011 | Tatabánya 1-1 Soproni VSE | NB II |
Last archived meeting: Soproni VSE vs Tatabánya on May 1, 2013
How many goals should we expect?
Tatabánya score 1.5 and concede 1.9 goals per match over their last 15; Soproni VSE score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tatabánya | 1.5 | 1.9 | 3 | 8/15 | 12/15 |
| Soproni VSE | 1.5 | 1.7 | 3 | 8/15 | 8/15 |
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