Szeged 2011 vs VAC: result 1-0 and analysis
NB IIRegular Season - 23Kick-off on March 5, 2017 at 01:30 PM (UTC)Szent Gellért Fórum, Szeged
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What was the result of Szeged 2011 vs VAC?
Szeged 2011 won 1-0 on March 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szeged 2011 have 6 wins, 5 draws and 4 defeats; VAC have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 26, 2017 | Csakvar(away) | 3-0 | NB II |
| Feb 19, 2017 | Cigand SE(home) | 0-0 | NB II |
| Dec 11, 2016 | Szeol Sc(away) | 3-1 | NB II |
| Dec 4, 2016 | Bekescsaba 1912(away) | 0-0 | NB II |
| Nov 27, 2016 | Soproni VSE(home) | 1-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2017 | Dorogi FC(home) | 1-0 | NB II |
| Feb 19, 2017 | Nyiregyhaza(away) | 3-1 | NB II |
| Dec 11, 2016 | Siofok(home) | 1-0 | NB II |
| Dec 4, 2016 | MTE 1904(home) | 1-1 | NB II |
| Nov 27, 2016 | Zalaegerszegi TE(away) | 2-1 | NB II |
What does the head-to-head say?
Across the last 3 meetings: 0 Szeged 2011 wins, 1 draw, 2 VAC wins.
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2016 | VAC 1-0 Szeged 2011 | NB II |
| Apr 30, 2016 | VAC 3-2 Szeged 2011 | NB II |
| Oct 18, 2015 | Szeged 2011 1-1 VAC | NB II |
How many goals should we expect?
Szeged 2011 score 1.3 and concede 0.7 goals per match over their last 15; VAC score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szeged 2011 | 1.3 | 0.7 | 8 | 6/15 | 7/15 |
| VAC | 1.3 | 1.0 | 4 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Szeged 2011 | 8 | 1 | 4 | 3 | 7 | 9 | 7 |
A question about Szeged 2011 vs VAC?
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