VAC vs Mezokovesd-zsory: result 2-1 and analysis
NB IIRegular Season - 16Kick-off on February 20, 2016 at 01:00 PM (UTC)Ligeti stadion, Vác
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What was the result of VAC vs Mezokovesd-zsory?
VAC won 2-1 on February 20, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, VAC have 4 wins, 3 draws and 8 defeats; Mezokovesd-zsory 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 |
|---|---|---|---|
| Nov 28, 2015 | Budaörs(home) | 1-0 | NB II |
| Nov 21, 2015 | SZTK-Erima(away) | 1-1 | NB II |
| Nov 7, 2015 | Ajka(home) | 2-1 | NB II |
| Oct 31, 2015 | Soroksar(away) | 1-2 | NB II |
| Oct 24, 2015 | Kisvarda FC(home) | 1-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2015 | Dunaújváros-Pálhalma(away) | 1-1 | NB II |
| Nov 21, 2015 | Siofok(home) | 0-3 | NB II |
| Nov 8, 2015 | Budaörs(home) | 0-2 | NB II |
| Oct 31, 2015 | SZTK-Erima(away) | 2-2 | NB II |
| Oct 24, 2015 | Ajka(home) | 2-2 | NB II |
What does the head-to-head say?
In the last meeting: 0 VAC wins, 0 draws, 1 Mezokovesd-zsory win.
| Date | Score | Competition |
|---|---|---|
| Aug 1, 2015 | Mezokovesd-zsory 2-1 VAC | NB II |
Last archived meeting: Mezokovesd-zsory vs VAC on Aug 1, 2015
How many goals should we expect?
VAC score 0.9 and concede 1.4 goals per match over their last 15; Mezokovesd-zsory score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VAC | 0.9 | 1.4 | 3 | 7/15 | 6/15 |
| Mezokovesd-zsory | 1.3 | 1.2 | 4 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Mezokovesd-zsory | 13 | 7 | 2 | 4 | 24 | 14 | 23 |
A question about VAC vs Mezokovesd-zsory?
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