DEAC vs Gödöllő: result 2-0 and analysis
NB III - NortheastNortheast - 9Kick-off on September 28, 2025 at 02:00 PM (UTC)Debreceni Egyetemi AC Stadion, Debrecen
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What was the result of DEAC vs Gödöllő?
DEAC won 2-0 on September 28, 2025.
Goalscorers
- 10′614105DEAC
- 90′J. SolteszDEAC
What is the recent form of both teams?
Over their last 15 matches in all competitions, DEAC have 10 wins, 2 draws and 3 defeats; Gödöllő 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 21, 2025 | Cigand SE(away) | 2-2 | NB III - Northeast |
| Sep 13, 2025 | Pécsi MFC(away) | 2-0 | Magyar Kupa |
| Sep 7, 2025 | Tiszaújváros(home) | 3-0 | NB III - Northeast |
| Aug 31, 2025 | Diósgyőr II(away) | 2-2 | NB III - Northeast |
| Aug 27, 2025 | Putnok VSE(home) | 0-1 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2025 | Eger(home) | 2-3 | NB III - Northeast |
| Sep 13, 2025 | Majosi(away) | 0-2 | Magyar Kupa |
| Sep 7, 2025 | Cigand SE(home) | 3-4 | NB III - Northeast |
| Aug 31, 2025 | Tiszaújváros(home) | 3-1 | NB III - Northeast |
| Aug 27, 2025 | Diósgyőr II(home) | 1-2 | NB III - Northeast |
How many goals should we expect?
DEAC score 2.7 and concede 1.0 goals per match over their last 15; Gödöllő score 2.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| DEAC | 2.7 | 1.0 | 6 | 7/15 | 10/15 |
| Gödöllő | 2.1 | 1.6 | 2 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
DEAC sit 3rd in NB III - Northeast (23 points from 11 matches) and Gödöllő sit 6th (19 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | DEAC | 11 | 7 | 2 | 2 | 29 | 14 | 23 |
| 6 | Gödöllő | 11 | 6 | 1 | 4 | 17 | 12 | 19 |
A question about DEAC vs Gödöllő?
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