Soproni VSE vs Ajka: result 3-4 and analysis
NB IIRegular Season - 4Kick-off on September 7, 2013 at 04:00 PM (UTC)Városi Stadion, Sopron
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What was the result of Soproni VSE vs Ajka?
Ajka won 3-4 on September 7, 2013.
Goalscorers
- 8′Péter MihaleczAjka
- 12′B. GaálSoproni VSE
- 24′M. HanzlAjka
- 36′B. GaálSoproni VSE
- 50′N. MajorAjka
- 72′B. GaálSoproni VSE
- 88′Thomas Babatunde SowunmiAjka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Soproni VSE have 10 wins, 2 draws and 3 defeats; Ajka have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2013 | Kozarmisleny FC(away) | 1-0 | NB II |
| Aug 28, 2013 | Siklós(away) | 5-1 | Magyar Kupa |
| Aug 24, 2013 | SZTK-Erima(home) | 1-0 | NB II |
| Aug 17, 2013 | Kisvarda FC(away) | 1-1 | NB II |
| Aug 11, 2013 | Dunaharaszti MTK(away) | 4-2 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2013 | Cegledi VSE(home) | 0-0 | NB II |
| Aug 28, 2013 | Zalaegerszegi TE(away) | 2-1 | Magyar Kupa |
| Aug 24, 2013 | Zalaegerszegi TE(away) | 2-2 | NB II |
| Aug 17, 2013 | Nyiregyhaza(home) | 0-3 | NB II |
| Aug 10, 2013 | Répcelaki SE(away) | 6-1 | Magyar Kupa |
What does the head-to-head say?
Across the last 4 meetings: 1 Soproni VSE win(s), 2 draw(s), 1 Ajka win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2013 | Ajka 0-0 Soproni VSE | NB II |
| Oct 6, 2012 | Soproni VSE 1-1 Ajka | NB II |
| Apr 21, 2012 | Ajka 3-1 Soproni VSE | NB II |
| Oct 15, 2011 | Soproni VSE 2-1 Ajka | NB II |
How many goals should we expect?
Soproni VSE score 2.0 and concede 0.9 goals per match over their last 15; Ajka score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Soproni VSE | 2.0 | 0.9 | 7 | 7/15 | 8/15 |
| Ajka | 1.2 | 1.3 | 4 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Ajka | 4 | 2 | 2 | 0 | 7 | 3 | 8 |
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