VAC vs Csakvar: result 2-3 and analysis
NB IIRegular Season - 23Kick-off on April 16, 2016 at 03:00 PM (UTC)Ligeti stadion, Vác
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What was the result of VAC vs Csakvar?
Csakvar won 2-3 on April 16, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, VAC have 6 wins, 3 draws and 6 defeats; Csakvar 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 |
|---|---|---|---|
| Apr 9, 2016 | Szolnoki MAV FC(away) | 1-0 | NB II |
| Apr 3, 2016 | Soproni VSE(home) | 0-1 | NB II |
| Mar 19, 2016 | Zalaegerszegi TE(away) | 4-3 | NB II |
| Mar 12, 2016 | Balmazujvaros(home) | 0-3 | NB II |
| Mar 5, 2016 | Siofok(home) | 0-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Dunaújváros-Pálhalma(home) | 4-0 | NB II |
| Apr 2, 2016 | Mezokovesd-zsory(away) | 0-3 | NB II |
| Mar 19, 2016 | Budaörs(home) | 4-1 | NB II |
| Mar 12, 2016 | SZTK-Erima(away) | 1-1 | NB II |
| Mar 5, 2016 | Ajka(home) | 3-1 | NB II |
What does the head-to-head say?
In the last meeting: 0 VAC wins, 0 draws, 1 Csakvar win.
| Date | Score | Competition |
|---|---|---|
| Sep 27, 2015 | Csakvar 2-1 VAC | NB II |
How many goals should we expect?
VAC score 1.1 and concede 1.2 goals per match over their last 15; Csakvar score 2.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VAC | 1.1 | 1.2 | 3 | 8/15 | 6/15 |
| Csakvar | 2.1 | 2.0 | 1 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Csakvar | 9 | 1 | 1 | 7 | 9 | 21 | 4 |
A question about VAC vs Csakvar?
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