Vasas vs Balmazujvaros: result 3-0 and analysis
NB IIRegular Season - 23Kick-off on April 12, 2014 at 04:00 PM (UTC)Illovszky Rudolf Stadion, Budapest
Full time
What was the result of Vasas vs Balmazujvaros?
Vasas won 3-0 on April 12, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vasas have 6 wins, 3 draws and 6 defeats; Balmazujvaros have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2014 | Soproni VSE(away) | 0-0 | NB II |
| Mar 29, 2014 | Cegledi VSE(home) | 3-0 | NB II |
| Mar 22, 2014 | Zalaegerszegi TE(away) | 1-0 | NB II |
| Mar 16, 2014 | Nyiregyhaza(home) | 1-2 | NB II |
| Mar 8, 2014 | Tatabánya(home) | 5-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2014 | Bekescsaba 1912(home) | 0-3 | NB II |
| Mar 29, 2014 | Dunaújváros-Pálhalma(away) | 0-1 | NB II |
| Mar 23, 2014 | Ajka(home) | 1-1 | NB II |
| Mar 16, 2014 | Kozarmisleny FC(away) | 1-1 | NB II |
| Mar 9, 2014 | SZTK-Erima(home) | 2-1 | NB II |
What does the head-to-head say?
In the last meeting: 0 Vasas wins, 0 draws, 1 Balmazujvaros win.
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2013 | Balmazujvaros 1-0 Vasas | NB II |
Last archived meeting: Balmazujvaros vs Vasas on Oct 6, 2013
How many goals should we expect?
Vasas score 1.5 and concede 1.4 goals per match over their last 15; Balmazujvaros score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vasas | 1.5 | 1.4 | 4 | 9/15 | 9/15 |
| Balmazujvaros | 1.5 | 1.4 | 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 | Vasas | 30 | 20 | 4 | 6 | 59 | 26 | 64 |
A question about Vasas vs Balmazujvaros?
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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