DEAC vs Nyiregyhaza: result 1-0 and analysis
NB IIRegular Season - 5Kick-off on August 23, 2020 at 03:30 PM (UTC)Nagyerdei Stadion, Debrecen
Full time
What was the result of DEAC vs Nyiregyhaza?
DEAC won 1-0 on August 23, 2020.
Goalscorers
- 85′K. NagyDEAC
Official lineup for DEAC vs Nyiregyhaza
The starting elevens fielded at kick-off.
DEAC
- PPéter Bíró
- EErik Burai
- II. Spitzmüller
- PPéter Takács
- TT. Sándor
- KKrisztián Balogh
- DD. Székely
- KK. Nagy
- CC. Belényesi
- KKornél Sándor Szabó
- BB. Acsádi
Nyiregyhaza
- DDávid Starosta
- AA. Györgyi
- NNorbert Imre Kovács
- AA. Farkas
- BB. Ötvös
- BB. Kártik
- BB. Papucsek
- FF. Fodor
- ÁÁ. Galambos
- OO. Shvediuk
- BB. Fejér
What is the recent form of both teams?
Over their last 15 matches in all competitions, DEAC have 8 wins, 0 draws and 7 defeats; Nyiregyhaza have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2020 | Siofok(away) | 2-3 | NB II |
| Aug 9, 2020 | Dorogi FC(home) | 1-2 | NB II |
| Aug 5, 2020 | Debreceni VSC(home) | 0-3 | NB II |
| Aug 2, 2020 | Soroksar(away) | 0-1 | NB II |
| Jul 25, 2020 | Mezokovesd-zsory(away) | 1-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2020 | Dorogi FC(home) | 1-1 | NB II |
| Aug 9, 2020 | Soroksar(away) | 1-0 | NB II |
| Aug 5, 2020 | Pécsi MFC(home) | 2-0 | NB II |
| Aug 1, 2020 | Kaposvar(away) | 1-0 | NB II |
| Jul 26, 2020 | Kisvárda II(home) | 1-3 | Friendlies Clubs |
How many goals should we expect?
DEAC score 2.1 and concede 1.5 goals per match over their last 15; Nyiregyhaza score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| DEAC | 2.1 | 1.5 | 5 | 7/15 | 11/15 |
| Nyiregyhaza | 1.6 | 1.5 | 5 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about DEAC vs Nyiregyhaza?
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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