Cegledi VSE vs Soproni VSE: result 2-0 and analysis
NB IIRegular Season - 3Kick-off on August 13, 2017 at 03:30 PM (UTC)Malomtó széli sporttelep, Cegléd
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What was the result of Cegledi VSE vs Soproni VSE?
Cegledi VSE won 2-0 on August 13, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cegledi VSE have 3 wins, 6 draws and 6 defeats; Soproni VSE have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2017 | MTK Budapest(away) | 1-2 | NB II |
| Jul 30, 2017 | Szeged 2011(home) | 1-2 | NB II |
| Jun 4, 2017 | Soproni VSE(home) | 1-0 | NB II |
| May 28, 2017 | Kisvarda FC(away) | 0-2 | NB II |
| May 21, 2017 | Puskas Academy(home) | 0-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2017 | Csakvar(home) | 0-0 | NB II |
| Jul 30, 2017 | Siofok(away) | 0-1 | NB II |
| Jun 4, 2017 | Cegledi VSE(away) | 0-1 | NB II |
| May 28, 2017 | Szeged 2011(home) | 3-0 | NB II |
| May 21, 2017 | Dorogi FC(away) | 0-2 | NB II |
What does the head-to-head say?
Across the last 6 meetings: 2 Cegledi VSE win(s), 4 draw(s), 0 Soproni VSE win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 4, 2017 | Cegledi VSE 1-0 Soproni VSE | NB II |
| Dec 4, 2016 | Soproni VSE 1-1 Cegledi VSE | NB II |
| Apr 11, 2015 | Cegledi VSE 0-0 Soproni VSE | NB II |
| Oct 4, 2014 | Soproni VSE 2-2 Cegledi VSE | NB II |
| Apr 26, 2014 | Cegledi VSE 3-3 Soproni VSE | NB II |
| Oct 19, 2013 | Soproni VSE 2-3 Cegledi VSE | NB II |
Last archived meeting: Cegledi VSE vs Soproni VSE on Jun 4, 2017
How many goals should we expect?
Cegledi VSE score 0.8 and concede 1.1 goals per match over their last 15; Soproni VSE score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cegledi VSE | 0.8 | 1.1 | 5 | 8/15 | 5/15 |
| Soproni VSE | 0.7 | 0.9 | 5 | 5/15 | 3/15 |
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