Újpest II vs Debrecen II: result 1-3 and analysis
NB III - NortheastKeleti - 6Kick-off on September 4, 2021 at 11:00 AM (UTC)Szusza Ferenc Stadion, Budapest
Full time
What was the result of Újpest II vs Debrecen II?
Debrecen II won 1-3 on September 4, 2021.
Goalscorers
- 3′?Debrecen II
- 24′?Debrecen II
- 33′?Debrecen II
- 73′?Újpest II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Újpest II have 6 wins, 2 draws and 7 defeats; Debrecen II have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2021 | Tiszafuredi VSE(away) | 1-0 | NB III - Northeast |
| Aug 22, 2021 | Békéscsaba II(away) | 2-1 | NB III - Northeast |
| Aug 15, 2021 | Kazincbarcikai(away) | 1-1 | NB III - Northeast |
| Aug 11, 2021 | Hajdúszoboszlói SE(home) | 2-3 | NB III - Northeast |
| Aug 1, 2021 | Tiszaújváros(away) | 1-3 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2021 | Füzesgyarmati(away) | 1-3 | NB III - Northeast |
| Aug 22, 2021 | Tiszafuredi VSE(home) | 2-3 | NB III - Northeast |
| Aug 15, 2021 | Békéscsaba II(away) | 3-3 | NB III - Northeast |
| Aug 11, 2021 | Kazincbarcikai(home) | 0-3 | NB III - Northeast |
| Aug 1, 2021 | Hajdúszoboszlói SE(away) | 0-0 | NB III - Northeast |
How many goals should we expect?
Újpest II score 1.4 and concede 1.3 goals per match over their last 15; Debrecen II score 2.2 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Újpest II | 1.4 | 1.3 | 2 | 9/15 | 7/15 |
| Debrecen II | 2.2 | 2.0 | 2 | 12/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Debrecen II | 13 | 8 | 1 | 4 | 32 | 22 | 25 |
A question about Újpest II vs Debrecen 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