Ózd Sajóvölgye vs DEAC: result 0-1 and analysis
NB III - NortheastNortheast - 13Kick-off on October 26, 2025 at 12:00 PM (UTC)Ózdi Városi Stadion, Ózd
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What was the result of Ózd Sajóvölgye vs DEAC?
DEAC won 0-1 on October 26, 2025.
Goalscorers
- 90′640546DEAC
What is the recent form of both teams?
Over their last 14 matches in all competitions, Ózd Sajóvölgye have 4 wins, 4 draws and 6 defeats; DEAC have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2025 | Gödöllő(away) | 0-2 | NB III - Northeast |
| Oct 12, 2025 | Cigand SE(home) | 2-1 | NB III - Northeast |
| Oct 5, 2025 | Tiszaújváros(away) | 2-2 | NB III - Northeast |
| Sep 28, 2025 | Diósgyőr II(home) | 3-6 | NB III - Northeast |
| Sep 21, 2025 | Putnok VSE(away) | 1-3 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2025 | Tiszafuredi VSE(home) | 0-0 | NB III - Northeast |
| Oct 12, 2025 | Sényő Carnifex(away) | 1-1 | NB III - Northeast |
| Oct 5, 2025 | Eger(home) | 2-0 | NB III - Northeast |
| Sep 28, 2025 | Gödöllő(home) | 2-0 | NB III - Northeast |
| Sep 21, 2025 | Cigand SE(away) | 2-2 | NB III - Northeast |
How many goals should we expect?
Ózd Sajóvölgye score 1.9 and concede 2.3 goals per match over their last 14; DEAC score 2.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ózd Sajóvölgye | 1.9 | 2.3 | 1 | 11/14 | 10/14 |
| DEAC | 2.5 | 0.7 | 8 | 6/15 | 7/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Ózd Sajóvölgye sit 4th in NB III - Northeast (9 points from 4 matches) and DEAC sit 1st (12 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | DEAC | 4 | 4 | 0 | 0 | 13 | 4 | 12 |
| 4 | Ózd Sajóvölgye | 4 | 3 | 0 | 1 | 7 | 2 | 9 |
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