Kisvarda FC vs VAC: result 1-0 and analysis
NB IIRegular Season - 28Kick-off on April 1, 2018 at 02:30 PM (UTC)Várkerti Stadion, Kisvárda
Full time
What was the result of Kisvarda FC vs VAC?
Kisvarda FC won 1-0 on April 1, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kisvarda FC have 7 wins, 4 draws and 4 defeats; VAC 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 |
|---|---|---|---|
| Mar 28, 2018 | Bekescsaba 1912(away) | 1-1 | NB II |
| Mar 25, 2018 | Cegledi VSE(home) | 3-1 | NB II |
| Mar 11, 2018 | Siofok(home) | 0-2 | NB II |
| Feb 25, 2018 | Zalaegerszegi TE(away) | 1-2 | NB II |
| Dec 10, 2017 | Gyori ETO FC(home) | 1-3 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2018 | Zalaegerszegi TE(home) | 1-0 | NB II |
| Mar 25, 2018 | Gyori ETO FC(away) | 1-1 | NB II |
| Mar 11, 2018 | Soproni VSE(away) | 2-1 | NB II |
| Feb 28, 2018 | Diosgyori VTK(home) | 0-1 | Magyar Kupa |
| Feb 25, 2018 | Szeged 2011(away) | 0-3 | NB II |
What does the head-to-head say?
Across the last 6 meetings: 4 Kisvarda FC wins, 2 draws, 0 VAC wins.
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2017 | VAC 2-3 Kisvarda FC | NB II |
| Apr 16, 2017 | VAC 3-3 Kisvarda FC | NB II |
| Sep 25, 2016 | Kisvarda FC 1-0 VAC | NB II |
| May 8, 2016 | Kisvarda FC 2-0 VAC | NB II |
| Oct 24, 2015 | VAC 1-1 Kisvarda FC | NB II |
| Oct 29, 2014 | Kisvarda FC 4-0 VAC | Magyar Kupa |
How many goals should we expect?
Kisvarda FC score 1.2 and concede 0.9 goals per match over their last 15; VAC score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kisvarda FC | 1.2 | 0.9 | 6 | 7/15 | 5/15 |
| VAC | 1.3 | 1.1 | 4 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Kisvarda FC vs VAC?
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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