Soproni VSE vs Ajka: result 2-0 and analysis
NB IIRegular Season - 16Kick-off on February 20, 2016 at 04:00 PM (UTC)Városi Stadion, Sopron
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What was the result of Soproni VSE vs Ajka?
Soproni VSE won 2-0 on February 20, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Soproni VSE have 8 wins, 1 draws and 6 defeats; Ajka have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2015 | Soroksar(home) | 1-0 | NB II |
| Nov 21, 2015 | Kisvarda FC(away) | 2-3 | NB II |
| Nov 18, 2015 | Nyiregyhaza(home) | 0-0 | Magyar Kupa |
| Nov 7, 2015 | Szeged 2011(home) | 3-1 | NB II |
| Oct 31, 2015 | Gyirmot SE(away) | 1-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2015 | Zalaegerszegi TE(home) | 1-2 | NB II |
| Nov 21, 2015 | Balmazujvaros(home) | 1-1 | NB II |
| Nov 7, 2015 | VAC(away) | 1-2 | NB II |
| Oct 31, 2015 | Dunaújváros-Pálhalma(home) | 0-6 | NB II |
| Oct 24, 2015 | Mezokovesd-zsory(away) | 2-2 | NB II |
What does the head-to-head say?
Across the last 6 meetings: 0 Soproni VSE win(s), 3 draw(s), 3 Ajka win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 1, 2015 | Ajka 3-1 Soproni VSE | NB II |
| Feb 21, 2015 | Soproni VSE 4-4 Ajka | NB II |
| Aug 16, 2014 | Ajka 3-1 Soproni VSE | NB II |
| Mar 16, 2014 | Ajka 0-0 Soproni VSE | NB II |
| Sep 7, 2013 | Soproni VSE 3-4 Ajka | NB II |
| Apr 20, 2013 | Ajka 0-0 Soproni VSE | NB II |
How many goals should we expect?
Soproni VSE score 1.8 and concede 1.3 goals per match over their last 15; Ajka score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Soproni VSE | 1.8 | 1.3 | 5 | 10/15 | 11/15 |
| Ajka | 1.1 | 1.5 | 4 | 6/15 | 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