VAC vs Soroksar: result 0-0 and analysis
NB IIRegular Season - 1Kick-off on July 30, 2017 at 04:00 PM (UTC)Ligeti stadion, Vác
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What was the result of VAC vs Soroksar?
VAC and Soroksar drew 0-0 on July 30, 2017.
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; Soroksar have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2017 | MTE 1904(away) | 1-2 | NB II |
| May 28, 2017 | Zalaegerszegi TE(home) | 0-0 | NB II |
| May 21, 2017 | Kozarmisleny FC(home) | 3-2 | NB II |
| May 14, 2017 | Csakvar(away) | 0-1 | NB II |
| May 7, 2017 | Cigand SE(home) | 2-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2017 | Szolnoki MAV FC(home) | 1-2 | NB II |
| May 28, 2017 | Kozarmisleny FC(away) | 2-1 | NB II |
| May 21, 2017 | Budaorsi SC(away) | 2-4 | NB II |
| May 17, 2017 | Szeged 2011(home) | 2-1 | NB II |
| May 14, 2017 | Balmazujvaros(home) | 1-1 | NB II |
What does the head-to-head say?
Across the last 4 meetings: 0 VAC wins, 1 draw, 3 Soroksar wins.
| Date | Score | Competition |
|---|---|---|
| Apr 2, 2017 | Soroksar 1-0 VAC | NB II |
| Sep 11, 2016 | VAC 2-2 Soroksar | NB II |
| May 14, 2016 | VAC 0-4 Soroksar | NB II |
| Oct 31, 2015 | Soroksar 2-1 VAC | NB II |
How many goals should we expect?
VAC score 1.1 and concede 1.1 goals per match over their last 15; Soroksar score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VAC | 1.1 | 1.1 | 7 | 6/15 | 6/15 |
| Soroksar | 1.3 | 1.3 | 4 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Soroksar | 9 | 6 | 2 | 1 | 25 | 12 | 20 |
A question about VAC vs Soroksar?
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