Cegledi VSE vs Újpest II: result 2-1 and analysis
NB III - NorthwestKözép - 10Kick-off on September 28, 2022 at 02:00 PM (UTC)Malomtó széli sporttelep, Cegléd
Full time
What was the result of Cegledi VSE vs Újpest II?
Cegledi VSE won 2-1 on September 28, 2022.
Goalscorers
- 18′?Cegledi VSE
- 26′?Újpest II
- 78′?Cegledi VSE
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cegledi VSE have 4 wins, 2 draws and 9 defeats; Újpest II have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2022 | Kecskeméti TE(away) | 0-4 | Friendlies Clubs |
| Sep 11, 2022 | Iváncsa(home) | 2-5 | NB III - Northwest |
| Sep 4, 2022 | Bánk(away) | 3-1 | NB III - Northwest |
| Aug 31, 2022 | Makó(home) | 1-0 | NB III - Northwest |
| Aug 21, 2022 | ESMTK(away) | 0-3 | NB III - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2022 | Szolnoki MAV FC(away) | 1-0 | NB III - Northwest |
| Sep 11, 2022 | Balassagyarmat VSE(home) | 2-1 | NB III - Northwest |
| Sep 4, 2022 | Iváncsa(away) | 0-5 | NB III - Northwest |
| Aug 31, 2022 | Bánk(home) | 2-1 | NB III - Northwest |
| Aug 21, 2022 | Makó(away) | 4-0 | NB III - Northwest |
How many goals should we expect?
Cegledi VSE score 1.0 and concede 2.1 goals per match over their last 15; Újpest II score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cegledi VSE | 1.0 | 2.1 | 2 | 8/15 | 8/15 |
| Újpest II | 1.2 | 1.2 | 6 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Újpest II | 30 | 9 | 7 | 14 | 46 | 50 | 34 |
A question about Cegledi VSE vs Újpest II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy