Békéscsaba II vs Dabas: result 0-1 and analysis
NB III - SoutheastSoutheast - 9Kick-off on September 28, 2025 at 01:00 PM (UTC)Kórház utcai stadion, Békéscsaba
Full time
What was the result of Békéscsaba II vs Dabas?
Dabas won 0-1 on September 28, 2025.
Goalscorers
- 27′654889Dabas
What is the recent form of both teams?
Over their last 15 matches in all competitions, Békéscsaba II have 6 wins, 0 draws and 9 defeats; Dabas have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2025 | Honvéd II(away) | 1-0 | NB III - Southeast |
| Sep 7, 2025 | Csepel(home) | 1-2 | NB III - Southeast |
| Aug 31, 2025 | Gyulai Termál(away) | 2-4 | NB III - Southeast |
| Aug 27, 2025 | Monori Se(home) | 0-1 | NB III - Southeast |
| Aug 17, 2025 | Szegedi VSE(away) | 1-0 | NB III - Southeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2025 | Csepel(home) | 3-0 | NB III - Southeast |
| Sep 7, 2025 | Monori Se(away) | 1-2 | NB III - Southeast |
| Aug 31, 2025 | Tiszaföldvár(home) | 2-1 | NB III - Southeast |
| Aug 27, 2025 | III. Kerületi TUE(away) | 1-3 | NB III - Southeast |
| Aug 17, 2025 | Hódmezővásárhely(home) | 1-0 | NB III - Southeast |
How many goals should we expect?
Békéscsaba II score 1.6 and concede 2.1 goals per match over their last 15; Dabas score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Békéscsaba II | 1.6 | 2.1 | 3 | 9/15 | 12/15 |
| Dabas | 1.5 | 1.4 | 6 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Dabas | 11 | 4 | 2 | 5 | 14 | 25 | 14 |
A question about Békéscsaba II vs Dabas?
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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