VAC vs MTE 1904: result 2-1 and analysis
NB IIRegular Season - 25Kick-off on February 24, 2019 at 01:00 PM (UTC)Ligeti stadion, Vác
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What was the result of VAC vs MTE 1904?
VAC won 2-1 on February 24, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, VAC have 3 wins, 8 draws and 4 defeats; MTE 1904 have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2019 | Kazincbarcikai(away) | 5-0 | NB II |
| Feb 10, 2019 | Gyirmot SE(home) | 1-1 | NB II |
| Feb 3, 2019 | Soroksar(away) | 0-3 | NB II |
| Dec 16, 2018 | Dorogi FC(home) | 1-1 | NB II |
| Dec 9, 2018 | Budafoki LC(away) | 1-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2019 | Balmazujvaros(home) | 1-1 | NB II |
| Feb 10, 2019 | Tiszakecske FC(away) | 1-1 | NB II |
| Feb 3, 2019 | Kaposvar(home) | 0-1 | NB II |
| Dec 16, 2018 | Nyiregyhaza(away) | 1-1 | NB II |
| Dec 9, 2018 | Bekescsaba 1912(home) | 3-0 | NB II |
What does the head-to-head say?
Across the last 5 meetings: 0 VAC wins, 3 draws, 2 MTE 1904 wins.
| Date | Score | Competition |
|---|---|---|
| Aug 29, 2018 | MTE 1904 1-1 VAC | NB II |
| Apr 25, 2018 | VAC 0-1 MTE 1904 | NB II |
| Aug 27, 2017 | MTE 1904 0-0 VAC | NB II |
| Jun 4, 2017 | MTE 1904 2-1 VAC | NB II |
| Dec 4, 2016 | VAC 1-1 MTE 1904 | NB II |
How many goals should we expect?
VAC score 1.2 and concede 1.1 goals per match over their last 15; MTE 1904 score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VAC | 1.2 | 1.1 | 5 | 8/15 | 7/15 |
| MTE 1904 | 1.0 | 1.7 | 2 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about VAC vs MTE 1904?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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