Csakvar vs Cigand SE: result 1-1 and analysis
NB IIRegular Season - 14Kick-off on October 22, 2016 at 03:00 PM (UTC)Tersztyánszky Ödön Sportközpont, Csákvár
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What was the result of Csakvar vs Cigand SE?
Csakvar and Cigand SE drew 1-1 on October 22, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Csakvar have 6 wins, 5 draws and 4 defeats; Cigand SE have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2016 | Szeol Sc(away) | 2-0 | NB II |
| Oct 2, 2016 | Bekescsaba 1912(home) | 3-1 | NB II |
| Sep 25, 2016 | Soproni VSE(away) | 2-2 | NB II |
| Sep 21, 2016 | Komlói Bányász SK(away) | 2-1 | Magyar Kupa |
| Sep 18, 2016 | Kisvarda FC(home) | 0-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2016 | Kozarmisleny FC(away) | 1-0 | NB II |
| Oct 2, 2016 | Szeol Sc(home) | 3-0 | NB II |
| Sep 25, 2016 | Bekescsaba 1912(away) | 0-1 | NB II |
| Sep 21, 2016 | Baktalórántháza(away) | 7-7 | Magyar Kupa |
| Sep 18, 2016 | Soproni VSE(home) | 0-1 | NB II |
How many goals should we expect?
Csakvar score 1.2 and concede 1.6 goals per match over their last 15; Cigand SE score 1.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Csakvar | 1.2 | 1.6 | 3 | 8/15 | 9/15 |
| Cigand SE | 1.1 | 2.1 | 3 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Csakvar | 9 | 1 | 1 | 7 | 9 | 21 | 4 |
A question about Csakvar 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