Diósgyőr II vs REAC: result 4-1 and analysis
NB III - NortheastNortheast - 7Kick-off on September 9, 2023 at 09:00 AM (UTC)DVTK Edzőcentrum Füves Edzőpálya, Miskolc
Full time
What was the result of Diósgyőr II vs REAC?
Diósgyőr II won 4-1 on September 9, 2023.
Goalscorers
- 10′G. JurekDiósgyőr II
- 29′G. JurekDiósgyőr II
- 42′?REAC
- 55′?Diósgyőr II
- 76′?Diósgyőr II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diósgyőr II have 6 wins, 1 draw and 8 defeats; REAC have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2023 | Újpest II(away) | 1-2 | NB III - Northeast |
| Aug 30, 2023 | FC Hatvan(home) | 2-1 | NB III - Northeast |
| Aug 19, 2023 | Salgótarjáni BTC(away) | 2-1 | NB III - Northeast |
| Aug 13, 2023 | Karcag SE(home) | 1-3 | NB III - Northeast |
| Aug 2, 2023 | Tiszaújváros(away) | 0-2 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2023 | Tiszafuredi VSE(home) | 2-0 | NB III - Northeast |
| Aug 30, 2023 | Sényő Carnifex(away) | 4-2 | NB III - Northeast |
| Aug 19, 2023 | DEAC(home) | 1-2 | NB III - Northeast |
| Aug 13, 2023 | Kisvárda II(away) | 0-4 | NB III - Northeast |
| Aug 2, 2023 | Gyöngyös(away) | 2-1 | NB III - Northeast |
How many goals should we expect?
Diósgyőr II score 1.7 and concede 1.9 goals per match over their last 15; REAC score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diósgyőr II | 1.7 | 1.9 | 3 | 10/15 | 10/15 |
| REAC | 1.7 | 1.9 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Diósgyőr II | 12 | 5 | 4 | 3 | 23 | 17 | 19 |
A question about Diósgyőr II vs REAC?
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