Gödöllő vs Debrecen II: result 3-1 and analysis
NB III - NortheastNortheast - 1Kick-off on July 27, 2025 at 03:30 PM (UTC)Szűcs Lajos Sportcentrum, Gödöllő
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What was the result of Gödöllő vs Debrecen II?
Gödöllő won 3-1 on July 27, 2025.
Goalscorers
- 2′?Debrecen II
- 9′?Gödöllő
- 43′?Gödöllő (pen.)
- 60′?Gödöllő
What is the recent form of both teams?
Over their last 13 matches in all competitions, Gödöllő have 7 wins, 0 draws and 6 defeats; Debrecen II have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2024 | Dorogi FC(home) | 1-2 | Magyar Kupa |
| Sep 15, 2024 | Csornai SE(away) | 2-1 | Magyar Kupa |
| Aug 24, 2024 | Cigand SE(home) | 1-0 | Magyar Kupa |
| Aug 4, 2024 | Nyíradony(away) | 3-2 | Magyar Kupa |
| Sep 16, 2023 | Dunaföldvár(home) | 1-2 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2025 | Cigand SE(away) | 2-3 | NB III - Northeast |
| May 17, 2025 | Füzesabony(home) | 3-3 | NB III - Northeast |
| May 11, 2025 | Tiszaújváros(away) | 2-2 | NB III - Northeast |
| May 4, 2025 | Putnok VSE(home) | 0-0 | NB III - Northeast |
| Apr 27, 2025 | DEAC(away) | 2-2 | NB III - Northeast |
How many goals should we expect?
Gödöllő score 1.6 and concede 1.6 goals per match over their last 13; Debrecen II score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gödöllő | 1.6 | 1.6 | 4 | 7/13 | 10/13 |
| Debrecen II | 1.5 | 1.3 | 6 | 8/15 | 8/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Gödöllő sit 8th in NB III - Northeast (6 points from 4 matches) and Debrecen II sit 10th (4 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Gödöllő | 4 | 2 | 0 | 2 | 5 | 6 | 6 |
| 10 | Debrecen II | 4 | 1 | 1 | 2 | 8 | 7 | 4 |
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