Füzesabony vs DEAC: result 1-2 and analysis
NB III - NortheastNortheast - 7Kick-off on September 8, 2024 at 02:00 PM (UTC)Füzesabonyi Sporttelep, Füzesabony
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What was the result of Füzesabony vs DEAC?
DEAC won 1-2 on September 8, 2024.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Füzesabony have 3 wins, 0 draws and 5 defeats; DEAC have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2024 | Nyiregyhaza II(away) | 1-0 | NB III - Northeast |
| Aug 28, 2024 | Mátészalka(home) | 0-1 | NB III - Northeast |
| Aug 24, 2024 | Tiszaújváros(home) | 1-0 | Magyar Kupa |
| Aug 18, 2024 | Sényő Carnifex(away) | 2-3 | NB III - Northeast |
| Aug 11, 2024 | Diósgyőr II(home) | 0-2 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2024 | Tiszaújváros(home) | 3-1 | NB III - Northeast |
| Aug 27, 2024 | Putnok VSE(away) | 1-0 | NB III - Northeast |
| Aug 24, 2024 | Monostorpályi(away) | 3-0 | Magyar Kupa |
| Aug 18, 2024 | Salgótarjáni BTC(home) | 2-1 | NB III - Northeast |
| Aug 11, 2024 | Nyiregyhaza II(home) | 1-0 | NB III - Northeast |
How many goals should we expect?
Füzesabony score 1.0 and concede 1.4 goals per match over their last 8; DEAC score 1.7 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Füzesabony | 1.0 | 1.4 | 3 | 2/8 | 2/8 |
| DEAC | 1.7 | 0.6 | 9 | 5/15 | 8/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Füzesabony sit 10th in NB III - Northeast (16 points from 11 matches) and DEAC sit 3rd (23 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | DEAC | 11 | 7 | 2 | 2 | 29 | 14 | 23 |
| 10 | Füzesabony | 11 | 5 | 1 | 5 | 11 | 12 | 16 |
A question about Füzesabony vs DEAC?
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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