Cegledi VSE vs Siofok: result 1-1 and analysis
NB IIRegular Season - 27Kick-off on April 2, 2017 at 02:30 PM (UTC)Malomtó széli sporttelep, Cegléd
Full time
What was the result of Cegledi VSE vs Siofok?
Cegledi VSE and Siofok drew 1-1 on April 2, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cegledi VSE have 5 wins, 1 draws and 9 defeats; Siofok have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | MTE 1904(away) | 1-0 | NB II |
| Mar 16, 2017 | Zalaegerszegi TE(home) | 3-2 | NB II |
| Mar 12, 2017 | VAC(away) | 0-1 | NB II |
| Mar 5, 2017 | Csakvar(home) | 1-0 | NB II |
| Mar 1, 2017 | Diosgyori VTK(away) | 0-2 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | Szeged 2011(home) | 1-1 | NB II |
| Mar 16, 2017 | Dorogi FC(away) | 0-0 | NB II |
| Mar 12, 2017 | Nyiregyhaza(home) | 0-1 | NB II |
| Mar 5, 2017 | Kozarmisleny FC(away) | 0-1 | NB II |
| Feb 26, 2017 | MTE 1904(away) | 2-1 | NB II |
What does the head-to-head say?
Across the last 5 meetings: 2 Cegledi VSE win(s), 1 draw(s), 2 Siofok win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2016 | Siofok 4-2 Cegledi VSE | NB II |
| Mar 21, 2015 | Cegledi VSE 3-0 Siofok | NB II |
| Sep 30, 2014 | Siofok 2-2 Cegledi VSE | NB II |
| May 24, 2014 | Cegledi VSE 1-0 Siofok | NB II |
| Nov 16, 2013 | Siofok 1-0 Cegledi VSE | NB II |
Last archived meeting: Siofok vs Cegledi VSE on Sep 11, 2016
How many goals should we expect?
Cegledi VSE score 0.9 and concede 1.3 goals per match over their last 15; Siofok score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cegledi VSE | 0.9 | 1.3 | 3 | 5/15 | 4/15 |
| Siofok | 0.7 | 1.1 | 3 | 4/15 | 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