Cegledi VSE vs Kaposvar: result 1-2 and analysis
NB IIRegular Season - 24Kick-off on February 17, 2019 at 01:00 PM (UTC)Malomtó széli sporttelep, Cegléd
Full time
What was the result of Cegledi VSE vs Kaposvar?
Kaposvar won 1-2 on February 17, 2019.
Goalscorers
- 39′B. TömösváriKaposvar
- 87′Péter RajcziKaposvar
- 90′C. PrekletCegledi VSE
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; Kaposvar have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 10, 2019 | Nyiregyhaza(away) | 1-4 | NB II |
| Feb 3, 2019 | Bekescsaba 1912(home) | 0-4 | NB II |
| Dec 16, 2018 | Gyori ETO FC(away) | 0-1 | NB II |
| Dec 9, 2018 | Csakvar(home) | 2-1 | NB II |
| Dec 2, 2018 | Siofok(home) | 3-3 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 10, 2019 | Budaorsi SC(home) | 0-2 | NB II |
| Feb 3, 2019 | MTE 1904(away) | 1-0 | NB II |
| Dec 16, 2018 | Kazincbarcikai(home) | 2-0 | NB II |
| Dec 9, 2018 | Gyirmot SE(away) | 1-0 | NB II |
| Dec 5, 2018 | Ujpest(home) | 1-0 | Magyar Kupa |
What does the head-to-head say?
Across the last 3 meetings: 1 Cegledi VSE win(s), 1 draw(s), 1 Kaposvar win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 26, 2018 | Kaposvar 2-0 Cegledi VSE | NB II |
| May 23, 2015 | Cegledi VSE 2-1 Kaposvar | NB II |
| Nov 15, 2014 | Kaposvar 0-0 Cegledi VSE | NB II |
Last archived meeting: Kaposvar vs Cegledi VSE on Aug 26, 2018
How many goals should we expect?
Cegledi VSE score 1.1 and concede 2.2 goals per match over their last 15; Kaposvar score 1.4 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cegledi VSE | 1.1 | 2.2 | 3 | 6/15 | 8/15 |
| Kaposvar | 1.4 | 0.8 | 7 | 7/15 | 7/15 |
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