Gerjeni vs Dabas: result 1-1 and analysis
NB III - NorthwestKözép - 31Kick-off on April 17, 2022 at 03:00 PM (UTC)
Full time
What was the result of Gerjeni vs Dabas?
Gerjeni and Dabas drew 1-1 on April 17, 2022.
Goalscorers
- 1′?Gerjeni
- 50′Zoltán PuskásDabas (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gerjeni have 1 win, 1 draw and 13 defeats; Dabas have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2022 | Dunaújváros-Pálhalma(away) | 0-0 | NB III - Northwest |
| Apr 10, 2022 | Cegledi VSE(home) | 1-2 | NB III - Northwest |
| Apr 3, 2022 | Mohács(away) | 1-3 | NB III - Northwest |
| Mar 27, 2022 | Kozarmisleny FC(home) | 1-2 | NB III - Northwest |
| Mar 20, 2022 | Hódmezővásárhely(away) | 0-2 | NB III - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2022 | ESMTK(home) | 1-1 | NB III - Northwest |
| Apr 10, 2022 | Ferencváros II(away) | 0-2 | NB III - Northwest |
| Apr 3, 2022 | Honvéd II(home) | 1-2 | NB III - Northwest |
| Mar 27, 2022 | Monori Se(away) | 0-4 | NB III - Northwest |
| Mar 20, 2022 | Dunaújváros-Pálhalma(away) | 1-1 | NB III - Northwest |
What does the head-to-head say?
In the last meeting: 0 Gerjeni wins, 0 draws, 1 Dabas win.
| Date | Score | Competition |
|---|---|---|
| Oct 17, 2021 | Dabas 2-1 Gerjeni | NB III - Northwest |
How many goals should we expect?
Gerjeni score 0.4 and concede 2.6 goals per match over their last 15; Dabas score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gerjeni | 0.4 | 2.6 | 1 | 5/15 | 9/15 |
| Dabas | 1.5 | 1.5 | 3 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Gerjeni vs Dabas?
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