Szeged 2011 vs Cigand SE: result 0-0 and analysis
NB IIRegular Season - 21Kick-off on February 19, 2017 at 01:00 PM (UTC)Szent Gellért Fórum, Szeged
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What was the result of Szeged 2011 vs Cigand SE?
Szeged 2011 and Cigand SE drew 0-0 on February 19, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szeged 2011 have 6 wins, 4 draws and 5 defeats; Cigand SE have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 11, 2016 | Szeol Sc(away) | 3-1 | NB II |
| Dec 4, 2016 | Bekescsaba 1912(away) | 0-0 | NB II |
| Nov 27, 2016 | Soproni VSE(home) | 1-2 | NB II |
| Nov 20, 2016 | Kisvarda FC(away) | 0-1 | NB II |
| Nov 6, 2016 | Puskas Academy(home) | 2-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 11, 2016 | Dorogi FC(home) | 1-0 | NB II |
| Dec 4, 2016 | Nyiregyhaza(home) | 0-7 | NB II |
| Nov 27, 2016 | Siofok(away) | 2-0 | NB II |
| Nov 20, 2016 | MTE 1904(home) | 0-1 | NB II |
| Nov 6, 2016 | Zalaegerszegi TE(away) | 1-2 | NB II |
What does the head-to-head say?
In the last meeting: 1 Szeged 2011 win, 0 draws, 0 Cigand SE wins.
| Date | Score | Competition |
|---|---|---|
| Aug 7, 2016 | Cigand SE 0-7 Szeged 2011 | NB II |
Last archived meeting: Cigand SE vs Szeged 2011 on Aug 7, 2016
How many goals should we expect?
Szeged 2011 score 1.2 and concede 0.9 goals per match over their last 15; Cigand SE score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szeged 2011 | 1.2 | 0.9 | 7 | 6/15 | 6/15 |
| Cigand SE | 1.1 | 1.7 | 5 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Szeged 2011 | 8 | 1 | 4 | 3 | 7 | 9 | 7 |
A question about Szeged 2011 vs Cigand SE?
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