Debrecen II vs DEAC: result 2-3 and analysis
NB III - NortheastKeleti - 15Kick-off on November 17, 2019 at 12:00 PM (UTC)Nagyerdei Stadion, Debrecen
Full time
What was the result of Debrecen II vs DEAC?
DEAC won 2-3 on November 17, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Debrecen II have 3 wins, 3 draws and 7 defeats; DEAC have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Tállya(home) | 0-3 | NB III - Northeast |
| Oct 27, 2019 | Putnok VSE(away) | 1-2 | NB III - Northeast |
| Oct 20, 2019 | FC Hatvan(away) | 2-0 | NB III - Northeast |
| Oct 12, 2019 | Diósgyőr II(home) | 2-0 | NB III - Northeast |
| Oct 6, 2019 | Gyöngyös(away) | 1-3 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Diósgyőr II(home) | 4-0 | NB III - Northeast |
| Nov 3, 2019 | Gyöngyös(away) | 2-3 | NB III - Northeast |
| Oct 30, 2019 | MTK Budapest(home) | 0-3 | Magyar Kupa |
| Oct 27, 2019 | Füzesgyarmati(home) | 3-0 | NB III - Northeast |
| Oct 20, 2019 | Eger(away) | 1-0 | NB III - Northeast |
How many goals should we expect?
Debrecen II score 1.6 and concede 2.1 goals per match over their last 13; DEAC score 2.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Debrecen II | 1.6 | 2.1 | 2 | 9/13 | 9/13 |
| DEAC | 2.1 | 1.2 | 6 | 8/15 | 13/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Debrecen II sit 5th in NB III - Northeast (19 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 |
| 5 | Debrecen II | 11 | 6 | 1 | 4 | 29 | 21 | 19 |
A question about Debrecen II vs DEAC?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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