Budaorsi SC vs Vasas: result 2-0 and analysis
NB IIRegular Season - 17Kick-off on November 11, 2018 at 12:30 PM (UTC)Grosics Gyula Stadion, Tatabánya
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What was the result of Budaorsi SC vs Vasas?
Budaorsi SC won 2-0 on November 11, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Budaorsi SC have 8 wins, 1 draw and 6 defeats; Vasas have 3, 9 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2018 | Monori Se(away) | 2-0 | NB II |
| Nov 4, 2018 | Zalaegerszegi TE(home) | 2-0 | NB II |
| Oct 31, 2018 | Cegledi VSE(home) | 5-0 | Magyar Kupa |
| Oct 28, 2018 | Cegledi VSE(away) | 0-2 | NB II |
| Oct 21, 2018 | Budafoki LC(away) | 2-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2018 | MTE 1904(home) | 1-1 | NB II |
| Nov 4, 2018 | Kazincbarcikai(away) | 1-2 | NB II |
| Oct 31, 2018 | Kazincbarcikai(away) | 4-2 | Magyar Kupa |
| Oct 28, 2018 | Gyirmot SE(home) | 0-4 | NB II |
| Oct 21, 2018 | Soroksar(away) | 1-3 | NB II |
What does the head-to-head say?
In the last meeting: 0 Budaorsi SC wins, 0 draws, 1 Vasas win.
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2011 | Budaorsi SC 0-2 Vasas | Magyar Kupa |
How many goals should we expect?
Budaorsi SC score 2.1 and concede 1.3 goals per match over their last 15; Vasas score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Budaorsi SC | 2.1 | 1.3 | 5 | 7/15 | 10/15 |
| Vasas | 1.7 | 1.7 | 2 | 12/15 | 9/15 |
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 Budaorsi SC vs Vasas?
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