Siofok vs Cigand SE: result 0-2 and analysis
NB IIRegular Season - 18Kick-off on November 27, 2016 at 12:00 PM (UTC)Révész Géza utcai stadion, Siófok
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What was the result of Siofok vs Cigand SE?
Cigand SE won 0-2 on November 27, 2016.
Goalscorers
- 22′Alex BaloghCigand SE
- 28′G. KatonaCigand SE
Official lineup for Siofok vs Cigand SE
The starting elevens fielded at kick-off.
Siofok
- BB. Elek
- GGábor János Gréczi
- DDániel Nagy
- MM. Petneházi
- MM. Gál
- RRichárd Kozma
- JJózsef Mogyorósi
- NN. Farkas
- MM. Czingráber
- ZZ. Szilágyi
- NNorbert Tajti
Cigand SE
- NN. Angyal
- RR. Popescu
- AAlex Balogh
- RR. Molnár
- GG. Katona
- ZZ. Baksa
- LL. Szilágy
- SS. Oltean
- SS. Răducu
- MM. Csicsvári
- BBalázs Egyed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Siofok have 5 wins, 2 draws and 8 defeats; Cigand SE have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2016 | Szeol Sc(away) | 5-0 | NB II |
| Nov 6, 2016 | Bekescsaba 1912(home) | 0-2 | NB II |
| Oct 30, 2016 | Soproni VSE(away) | 1-1 | NB II |
| Oct 22, 2016 | Kisvarda FC(home) | 0-0 | NB II |
| Oct 16, 2016 | Puskas Academy(away) | 0-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2016 | MTE 1904(home) | 0-1 | NB II |
| Nov 6, 2016 | Zalaegerszegi TE(away) | 1-2 | NB II |
| Oct 30, 2016 | VAC(home) | 1-1 | NB II |
| Oct 22, 2016 | Csakvar(away) | 1-1 | NB II |
| Oct 16, 2016 | Kozarmisleny FC(away) | 1-0 | NB II |
How many goals should we expect?
Siofok score 1.2 and concede 1.3 goals per match over their last 15; Cigand SE score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Siofok | 1.2 | 1.3 | 4 | 4/15 | 4/15 |
| Cigand SE | 1.1 | 1.5 | 3 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Siofok vs Cigand SE?
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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