DEAC vs Jászberényi Vasas: result 1-3 and analysis
NB III - NortheastKeleti - 8Kick-off on September 29, 2019 at 02:00 PM (UTC)Debreceni Egyetemi AC Stadion, Debrecen
Full time
What was the result of DEAC vs Jászberényi Vasas?
Jászberényi Vasas won 1-3 on September 29, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, DEAC have 5 wins, 2 draws and 3 defeats; Jászberényi Vasas have 6, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Csakvar(home) | 2-0 | Magyar Kupa |
| Sep 15, 2019 | Tiszaújváros(away) | 1-2 | NB III - Northeast |
| Sep 8, 2019 | Balassagyarmat VSE(home) | 4-1 | NB III - Northeast |
| Sep 1, 2019 | Sényő Carnifex(away) | 2-1 | NB III - Northeast |
| Aug 25, 2019 | FC Hatvan(home) | 3-0 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Sényő Carnifex(away) | 2-3 | Magyar Kupa |
| Sep 8, 2019 | Tállya(away) | 0-0 | NB III - Northeast |
| Sep 1, 2019 | Putnok VSE(home) | 3-2 | NB III - Northeast |
| Aug 25, 2019 | Debrecen II(away) | 3-3 | NB III - Northeast |
| Aug 18, 2019 | Diósgyőr II(home) | 2-1 | NB III - Northeast |
How many goals should we expect?
DEAC score 2.3 and concede 2.1 goals per match over their last 10; Jászberényi Vasas score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| DEAC | 2.3 | 2.1 | 2 | 6/10 | 9/10 |
| Jászberényi Vasas | 1.8 | 1.7 | 2 | 9/14 | 9/14 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | DEAC | 12 | 8 | 2 | 2 | 32 | 15 | 26 |
A question about DEAC vs Jászberényi Vasas?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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