Szeged-Csanád II vs Dunaharaszti MTK: result 1-2 and analysis
NB III - SoutheastSoutheast - 13Kick-off on October 26, 2025 at 10:00 AM (UTC)Szent Gellért Fórum, Szeged
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What was the result of Szeged-Csanád II vs Dunaharaszti MTK?
Dunaharaszti MTK won 1-2 on October 26, 2025.
Goalscorers
- 27′654891Dunaharaszti MTK
- 83′654927Szeged-Csanád II
- 90′583904Dunaharaszti MTK (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szeged-Csanád II have 5 wins, 2 draws and 8 defeats; Dunaharaszti MTK 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 |
|---|---|---|---|
| Oct 19, 2025 | Vasas II(away) | 0-3 | NB III - Southeast |
| Oct 12, 2025 | Békéscsaba II(away) | 1-1 | NB III - Southeast |
| Oct 5, 2025 | Dabas(home) | 0-6 | NB III - Southeast |
| Sep 28, 2025 | Csepel(away) | 0-1 | NB III - Southeast |
| Sep 20, 2025 | Monori Se(home) | 1-3 | NB III - Southeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2025 | Dabas(home) | 1-2 | NB III - Southeast |
| Oct 12, 2025 | Csepel(away) | 1-6 | NB III - Southeast |
| Oct 5, 2025 | Monori Se(home) | 1-3 | NB III - Southeast |
| Sep 28, 2025 | Tiszaföldvár(away) | 3-2 | NB III - Southeast |
| Sep 21, 2025 | III. Kerületi TUE(home) | 1-1 | NB III - Southeast |
How many goals should we expect?
Szeged-Csanád II score 1.4 and concede 2.2 goals per match over their last 15; Dunaharaszti MTK score 1.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szeged-Csanád II | 1.4 | 2.2 | 2 | 9/15 | 12/15 |
| Dunaharaszti MTK | 1.9 | 2.1 | 1 | 13/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Szeged-Csanád II | 4 | 4 | 0 | 0 | 14 | 4 | 12 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy