Soproni VSE vs Bajai: result 0-0 and analysis
NB IIRegular Season - 15Kick-off on November 26, 2011 at 03:00 PM (UTC)Városi Stadion, Sopron
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What was the result of Soproni VSE vs Bajai?
Soproni VSE and Bajai drew 0-0 on November 26, 2011.
Official lineup for Soproni VSE vs Bajai
The starting elevens fielded at kick-off.
Soproni VSE
- CCsaba Csordás
- ZZ. Nagy
- BB. Lazić
- RR. Bausz
- RR. Tamási
- GG. Bognár
- MMico Smiljanic
- DD. Tóth
- KK. Peric
- ZZoltan Csontos
- CC. Borsi
Bajai
- MM. Covic
- MM. Micsko
- FF. Szőllősi
- BB. Domokos
- BB. Burucz
- RR. Domonyi
- LLászló Kormos
- AA. Forgács
- KKrisztian Zahorecz
- II. Szauter
- RR. Herbert
What is the recent form of both teams?
Over their last 15 matches in all competitions, Soproni VSE have 5 wins, 2 draws and 8 defeats; Bajai have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2011 | Tatabánya(away) | 1-1 | NB II |
| Nov 12, 2011 | Paksi SE II(home) | 0-1 | NB II |
| Nov 5, 2011 | MTK Budapest(away) | 0-4 | NB II |
| Oct 29, 2011 | Dunaújváros-Pálhalma(home) | 1-2 | NB II |
| Oct 22, 2011 | Kozarmisleny FC(away) | 3-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2011 | Veszprém(home) | 1-1 | NB II |
| Nov 12, 2011 | Tatabánya(home) | 2-3 | NB II |
| Nov 6, 2011 | Paksi SE II(away) | 1-2 | NB II |
| Oct 29, 2011 | MTK Budapest(home) | 1-4 | NB II |
| Oct 26, 2011 | Pápa(home) | 2-2 | Magyar Kupa |
How many goals should we expect?
Soproni VSE score 0.9 and concede 1.7 goals per match over their last 15; Bajai score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Soproni VSE | 0.9 | 1.7 | 3 | 6/15 | 7/15 |
| Bajai | 1.9 | 1.7 | 2 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Soproni VSE vs Bajai?
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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