REAC vs Tiszaújváros: result 1-5 and analysis
NB III - NortheastNortheast - 12Kick-off on October 22, 2023 at 11:00 AM (UTC)Budai II László Stadion, Budapest
Full time
What was the result of REAC vs Tiszaújváros?
Tiszaújváros won 1-5 on October 22, 2023.
Goalscorers
- 2′B. TóthTiszaújváros
- 14′B. TóthTiszaújváros
- 24′B. TóthTiszaújváros
- 31′?Tiszaújváros (o.g.)
- 55′?Tiszaújváros
- 82′?REAC
What is the recent form of both teams?
Over their last 15 matches in all competitions, REAC have 5 wins, 2 draws and 8 defeats; Tiszaújváros have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2023 | Debrecen II(away) | 0-4 | NB III - Northeast |
| Oct 8, 2023 | Eger(home) | 1-0 | NB III - Northeast |
| Oct 1, 2023 | Cigand SE(away) | 0-3 | NB III - Northeast |
| Sep 24, 2023 | Putnok VSE(home) | 0-2 | NB III - Northeast |
| Sep 9, 2023 | Diósgyőr II(away) | 1-4 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2023 | Újpest II(home) | 2-4 | NB III - Northeast |
| Oct 8, 2023 | FC Hatvan(away) | 1-3 | NB III - Northeast |
| Oct 1, 2023 | Salgótarjáni BTC(home) | 4-0 | NB III - Northeast |
| Sep 24, 2023 | Karcag SE(away) | 0-1 | NB III - Northeast |
| Sep 17, 2023 | Nyiregyhaza(home) | 1-1 | Magyar Kupa |
How many goals should we expect?
REAC score 1.1 and concede 2.1 goals per match over their last 15; Tiszaújváros score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| REAC | 1.1 | 2.1 | 2 | 7/15 | 9/15 |
| Tiszaújváros | 1.6 | 1.5 | 5 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Tiszaújváros | 13 | 5 | 2 | 6 | 17 | 20 | 17 |
A question about REAC vs Tiszaújváros?
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