DEAC vs Tállya: result 7-2 and analysis
NB III - NortheastKeleti - 17Kick-off on December 1, 2019 at 12:00 PM (UTC)Debreceni Egyetemi AC Stadion, Debrecen
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What was the result of DEAC vs Tállya?
DEAC won 7-2 on December 1, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, DEAC have 10 wins, 1 draw and 4 defeats; Tállya have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Putnok VSE(away) | 4-1 | NB III - Northeast |
| Nov 17, 2019 | Debrecen II(away) | 3-2 | NB III - Northeast |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | FC Hatvan(away) | 1-1 | NB III - Northeast |
| Nov 10, 2019 | Putnok VSE(home) | 0-1 | NB III - Northeast |
| Nov 3, 2019 | Debrecen II(away) | 3-0 | NB III - Northeast |
| Oct 30, 2019 | MTE 1904(away) | 1-4 | Magyar Kupa |
| Oct 27, 2019 | Diósgyőr II(home) | 1-0 | NB III - Northeast |
What does the head-to-head say?
In the last meeting: 1 DEAC win, 0 draws, 0 Tállya wins.
| Date | Score | Competition |
|---|---|---|
| Aug 11, 2019 | Tállya 1-2 DEAC | NB III - Northeast |
How many goals should we expect?
DEAC score 2.3 and concede 1.2 goals per match over their last 15; Tállya score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| DEAC | 2.3 | 1.2 | 6 | 8/15 | 13/15 |
| Tállya | 1.1 | 1.4 | 4 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | DEAC | 11 | 7 | 2 | 2 | 29 | 14 | 23 |
A question about DEAC vs Tállya?
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