VAC vs Szekszárd: result 0-4 and analysis
NB III - NorthwestKözép - 9Kick-off on September 26, 2021 at 02:00 PM (UTC)Ligeti stadion, Vác
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What was the result of VAC vs Szekszárd?
Szekszárd won 0-4 on September 26, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, VAC have 6 wins, 1 draw and 8 defeats; Szekszárd have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2021 | Rákosmenti KSK(away) | 2-1 | NB III - Northwest |
| Sep 18, 2021 | Zalaegerszegi TE(home) | 0-4 | Magyar Kupa |
| Sep 15, 2021 | Balassagyarmat VSE(away) | 0-1 | NB III - Northwest |
| Sep 12, 2021 | MTK Budapest II(home) | 0-5 | NB III - Northwest |
| Sep 4, 2021 | Iváncsa(away) | 0-0 | NB III - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2021 | Makó(home) | 0-4 | NB III - Northwest |
| Sep 12, 2021 | Balassagyarmat VSE(away) | 0-0 | NB III - Northwest |
| Sep 4, 2021 | Gerjeni(home) | 3-1 | NB III - Northwest |
| Sep 1, 2021 | ESMTK(away) | 0-5 | NB III - Northwest |
| Aug 22, 2021 | Ferencváros II(home) | 1-1 | NB III - Northwest |
What does the head-to-head say?
Across the last 2 meetings: 1 VAC win, 0 draws, 1 Szekszárd win.
| Date | Score | Competition |
|---|---|---|
| Mar 21, 2021 | Szekszárd 1-0 VAC | NB III - Northwest |
| Aug 26, 2020 | VAC 1-0 Szekszárd | NB III - Northwest |
How many goals should we expect?
VAC score 1.5 and concede 2.1 goals per match over their last 15; Szekszárd score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VAC | 1.5 | 2.1 | 4 | 7/15 | 12/15 |
| Szekszárd | 1.3 | 1.7 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about VAC vs Szekszárd?
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