Ajka vs Soproni VSE: result 3-1 and analysis
NB IIRegular Season - 1Kick-off on August 1, 2015 at 03:30 PM (UTC)Ajkai Városi Sportcentrum, Ajka
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What was the result of Ajka vs Soproni VSE?
Ajka won 3-1 on August 1, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ajka have 4 wins, 4 draws and 7 defeats; Soproni VSE have 7, 7 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2015 | Csakvar(home) | 3-4 | NB II |
| May 23, 2015 | Zalaegerszegi TE(away) | 0-2 | NB II |
| May 16, 2015 | Cegledi VSE(home) | 4-0 | NB II |
| May 9, 2015 | Soroksar(away) | 1-2 | NB II |
| May 2, 2015 | Szeged 2011(home) | 1-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2015 | Balmazujvaros(away) | 1-1 | NB II |
| May 23, 2015 | Vasas(home) | 3-3 | NB II |
| May 16, 2015 | Gyirmot SE(away) | 1-0 | NB II |
| May 9, 2015 | Mezokovesd-zsory(home) | 1-0 | NB II |
| May 2, 2015 | Siofok(home) | 3-1 | NB II |
What does the head-to-head say?
Across the last 6 meetings: 2 Ajka win(s), 4 draw(s), 0 Soproni VSE win(s).
| Date | Score | Competition |
|---|---|---|
| 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 |
| Oct 6, 2012 | Soproni VSE 1-1 Ajka | NB II |
How many goals should we expect?
Ajka score 1.5 and concede 1.6 goals per match over their last 15; Soproni VSE score 1.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajka | 1.5 | 1.6 | 3 | 8/15 | 8/15 |
| Soproni VSE | 1.6 | 0.9 | 8 | 6/15 | 5/15 |
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