Csepel vs Szeged-Csanád II: result 1-0 and analysis
NB III - SoutheastSoutheast - 9Kick-off on September 28, 2025 at 02:00 PM (UTC)Béke téri Stadion, Budapest
Full time
What was the result of Csepel vs Szeged-Csanád II?
Csepel won 1-0 on September 28, 2025.
Goalscorers
- 45′654878Csepel
What is the recent form of both teams?
Over their last 15 matches in all competitions, Csepel have 5 wins, 3 draws and 7 defeats; Szeged-Csanád II have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2025 | Dabas(away) | 0-3 | NB III - Southeast |
| Sep 7, 2025 | Békéscsaba II(away) | 2-1 | NB III - Southeast |
| Aug 31, 2025 | Monori Se(home) | 0-3 | NB III - Southeast |
| Aug 27, 2025 | Tiszaföldvár(away) | 0-1 | NB III - Southeast |
| Aug 23, 2025 | Gyulai Termál(away) | 0-3 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2025 | Monori Se(home) | 1-3 | NB III - Southeast |
| Sep 7, 2025 | Tiszaföldvár(away) | 1-0 | NB III - Southeast |
| Aug 31, 2025 | III. Kerületi TUE(home) | 3-1 | NB III - Southeast |
| Aug 27, 2025 | Hódmezővásárhely(away) | 2-3 | NB III - Southeast |
| Aug 17, 2025 | ESMTK(home) | 0-3 | NB III - Southeast |
How many goals should we expect?
Csepel score 1.2 and concede 1.5 goals per match over their last 15; Szeged-Csanád II score 2.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Csepel | 1.2 | 1.5 | 2 | 7/15 | 8/15 |
| Szeged-Csanád II | 2.1 | 1.9 | 2 | 12/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Csepel sit 9th in NB III - Southeast (5 points from 4 matches) and Szeged-Csanád II sit 2nd (12 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Szeged-Csanád II | 4 | 4 | 0 | 0 | 14 | 4 | 12 |
| 9 | Csepel | 4 | 1 | 2 | 1 | 3 | 4 | 5 |
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