Cegledi VSE vs Vasas: result 2-0 and analysis
NB IIRegular Season - 11Kick-off on October 25, 2014 at 12:30 PM (UTC)Malomtó széli sporttelep, Cegléd
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What was the result of Cegledi VSE vs Vasas?
Cegledi VSE won 2-0 on October 25, 2014.
Goalscorers
- 72′G. KoósCegledi VSE
- 75′Zsolt KonczCegledi VSE
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cegledi VSE have 3 wins, 5 draws and 7 defeats; Vasas have 11, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2014 | Gyirmot SE(away) | 1-2 | NB II |
| Oct 10, 2014 | Mezokovesd-zsory(home) | 0-2 | NB II |
| Oct 4, 2014 | Soproni VSE(away) | 2-2 | NB II |
| Sep 30, 2014 | Siofok(away) | 2-2 | NB II |
| Sep 27, 2014 | Csakvar(home) | 3-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2014 | Soroksar(home) | 3-0 | NB II |
| Oct 12, 2014 | Szeged 2011(away) | 1-0 | NB II |
| Oct 4, 2014 | SZTK-Erima(home) | 0-1 | NB II |
| Sep 27, 2014 | Szolnoki MAV FC(away) | 2-3 | NB II |
| Sep 20, 2014 | Bekescsaba 1912(home) | 3-2 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 0 Cegledi VSE win(s), 0 draw(s), 2 Vasas win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 29, 2014 | Vasas 3-0 Cegledi VSE | NB II |
| Sep 21, 2013 | Cegledi VSE 2-3 Vasas | NB II |
How many goals should we expect?
Cegledi VSE score 1.4 and concede 1.5 goals per match over their last 15; Vasas score 2.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cegledi VSE | 1.4 | 1.5 | 3 | 7/15 | 7/15 |
| Vasas | 2.6 | 1.3 | 5 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Vasas | 30 | 20 | 4 | 6 | 59 | 26 | 64 |
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