VAC vs Kisvarda FC: result 2-3 and analysis
NB IIRegular Season - 9Kick-off on September 17, 2017 at 02:00 PM (UTC)Ligeti stadion, Vác
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What was the result of VAC vs Kisvarda FC?
Kisvarda FC won 2-3 on September 17, 2017.
Goalscorers
- 24′M. GulyasVAC
- 35′S. OlteanKisvarda FC
- 41′R. ZsolnaiVAC
- 47′Z. HorváthKisvarda FC
- 69′Z. HorváthKisvarda FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, VAC have 5 wins, 6 draws and 4 defeats; Kisvarda FC have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2017 | Zalaegerszegi TE(away) | 0-0 | NB II |
| Sep 2, 2017 | Gyori ETO FC(home) | 2-0 | NB II |
| Aug 27, 2017 | MTE 1904(away) | 0-0 | NB II |
| Aug 23, 2017 | Soproni VSE(home) | 1-1 | NB II |
| Aug 19, 2017 | MTK Budapest(away) | 0-3 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2017 | Bekescsaba 1912(home) | 3-2 | NB II |
| Sep 2, 2017 | Cegledi VSE(away) | 1-1 | NB II |
| Aug 27, 2017 | Csakvar(home) | 3-0 | NB II |
| Aug 23, 2017 | Siofok(away) | 2-1 | NB II |
| Aug 19, 2017 | Gyirmot SE(home) | 3-0 | NB II |
What does the head-to-head say?
Across the last 5 meetings: 0 VAC win(s), 2 draw(s), 3 Kisvarda FC win(s).
| Date | Score | Competition |
|---|---|---|
| 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?
VAC score 0.8 and concede 0.7 goals per match over their last 15; Kisvarda FC score 1.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VAC | 0.8 | 0.7 | 9 | 4/15 | 4/15 |
| Kisvarda FC | 1.8 | 0.9 | 5 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy