DEAC vs Gyöngyös: result 3-1 and analysis
NB III - NortheastNortheast - 6Kick-off on September 3, 2023 at 02:00 PM (UTC)Debreceni Egyetemi AC Stadion, Debrecen
Full time
What was the result of DEAC vs Gyöngyös?
DEAC won 3-1 on September 3, 2023.
Goalscorers
- 14′M. KorhutDEAC
- 31′?DEAC
- 47′?DEAC
- 59′I. LakatosGyöngyös
What is the recent form of both teams?
Over their last 15 matches in all competitions, DEAC have 10 wins, 3 draws and 2 defeats; Gyöngyös have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2023 | Kisvárda II(home) | 2-2 | NB III - Northeast |
| Aug 26, 2023 | FC Hatvan(home) | 4-0 | Magyar Kupa |
| Aug 19, 2023 | REAC(away) | 2-1 | NB III - Northeast |
| Aug 13, 2023 | Újpest II(home) | 2-1 | NB III - Northeast |
| Aug 5, 2023 | Monostorpályi(away) | 2-0 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2023 | Debrecen II(home) | 1-3 | NB III - Northeast |
| Aug 19, 2023 | Kisvárda II(away) | 0-1 | NB III - Northeast |
| Aug 13, 2023 | Eger(home) | 1-2 | NB III - Northeast |
| Aug 2, 2023 | REAC(home) | 1-2 | NB III - Northeast |
| Jul 30, 2023 | Cigand SE(away) | 1-2 | NB III - Northeast |
What does the head-to-head say?
Across the last 1 meetings: 0 DEAC win(s), 0 draw(s), 1 Gyöngyös win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2019 | Gyöngyös 3-2 DEAC | NB III - Northeast |
How many goals should we expect?
DEAC score 2.1 and concede 0.6 goals per match over their last 15; Gyöngyös score 1.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| DEAC | 2.1 | 0.6 | 8 | 6/15 | 8/15 |
| Gyöngyös | 1.7 | 2.1 | 0 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | DEAC | 4 | 4 | 0 | 0 | 13 | 4 | 12 |
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