Ajka vs Soproni VSE: result 0-0 and analysis
NB IIRegular Season - 19Kick-off on March 16, 2014 at 02:00 PM (UTC)Ajkai Városi Sportcentrum, Ajka
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What was the result of Ajka vs Soproni VSE?
Ajka and Soproni VSE drew 0-0 on March 16, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ajka have 8 wins, 1 draws and 6 defeats; Soproni VSE have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2014 | Cegledi VSE(home) | 1-0 | NB II |
| Mar 1, 2014 | Zalaegerszegi TE(home) | 1-1 | NB II |
| Nov 30, 2013 | Nyiregyhaza(away) | 0-1 | NB II |
| Nov 23, 2013 | Vasas(away) | 5-1 | NB II |
| Nov 16, 2013 | Bekescsaba 1912(home) | 2-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2014 | Kozarmisleny FC(home) | 1-1 | NB II |
| Mar 1, 2014 | SZTK-Erima(away) | 0-1 | NB II |
| Nov 30, 2013 | Kisvarda FC(home) | 3-1 | NB II |
| Nov 23, 2013 | Siofok(home) | 1-0 | NB II |
| Nov 16, 2013 | Szolnoki MAV FC(away) | 2-1 | NB II |
What does the head-to-head say?
Across the last 5 meetings: 2 Ajka win(s), 2 draw(s), 1 Soproni VSE win(s).
| Date | Score | Competition |
|---|---|---|
| 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 |
| 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?
Ajka score 1.6 and concede 1.5 goals per match over their last 15; Soproni VSE score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajka | 1.6 | 1.5 | 7 | 4/15 | 8/15 |
| Soproni VSE | 1.3 | 1.7 | 1 | 10/15 | 9/15 |
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