Tiszaújváros vs DEAC: result 2-1 and analysis
NB III - NortheastKeleti - 7Kick-off on September 15, 2019 at 02:00 PM (UTC)Sport Park, Tiszaújváros
Full time
What was the result of Tiszaújváros vs DEAC?
Tiszaújváros won 2-1 on September 15, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tiszaújváros have 8 wins, 3 draws and 4 defeats; DEAC have 4, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Tállya(home) | 4-2 | NB III - Northeast |
| Aug 25, 2019 | Putnok VSE(away) | 1-0 | NB III - Northeast |
| Aug 18, 2019 | Debrecen II(home) | 4-1 | NB III - Northeast |
| Aug 11, 2019 | Diósgyőr II(away) | 4-0 | NB III - Northeast |
| Aug 4, 2019 | Gyöngyös(home) | 0-0 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 11, 2019 | Tállya(away) | 2-1 | NB III - Northeast |
| Aug 4, 2019 | Putnok VSE(home) | 2-2 | NB III - Northeast |
How many goals should we expect?
Tiszaújváros score 1.9 and concede 1.7 goals per match over their last 15; DEAC score 2.5 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tiszaújváros | 1.9 | 1.7 | 5 | 7/15 | 9/15 |
| DEAC | 2.5 | 2.4 | 1 | 5/8 | 8/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Tiszaújváros sit 11th in NB III - Northeast (13 points from 10 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 |
| 11 | Tiszaújváros | 10 | 4 | 1 | 5 | 12 | 13 | 13 |
A question about Tiszaújváros vs DEAC?
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