Cigand SE vs Csakvar: result 1-1 and analysis
NB IIRegular Season - 33Kick-off on May 3, 2017 at 03:30 PM (UTC)Cigánd Városi Stadion, Cigánd
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What was the result of Cigand SE vs Csakvar?
Cigand SE and Csakvar drew 1-1 on May 3, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cigand SE have 4 wins, 5 draws and 6 defeats; Csakvar have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2017 | Kozarmisleny FC(home) | 3-1 | NB II |
| Apr 23, 2017 | Szeol Sc(away) | 1-0 | NB II |
| Apr 16, 2017 | Bekescsaba 1912(home) | 0-5 | NB II |
| Apr 12, 2017 | Soproni VSE(away) | 0-0 | NB II |
| Apr 9, 2017 | Kisvarda FC(home) | 0-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2017 | Szeol Sc(home) | 2-0 | NB II |
| Apr 23, 2017 | Bekescsaba 1912(away) | 0-1 | NB II |
| Apr 16, 2017 | Soproni VSE(home) | 1-1 | NB II |
| Apr 12, 2017 | Kisvarda FC(away) | 0-1 | NB II |
| Apr 9, 2017 | Puskas Academy(home) | 1-1 | NB II |
What does the head-to-head say?
In the last meeting: 0 Cigand SE wins, 1 draw, 0 Csakvar wins.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2016 | Csakvar 1-1 Cigand SE | NB II |
How many goals should we expect?
Cigand SE score 0.7 and concede 1.7 goals per match over their last 15; Csakvar score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cigand SE | 0.7 | 1.7 | 6 | 4/15 | 5/15 |
| Csakvar | 0.8 | 1.5 | 2 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | Csakvar | 9 | 1 | 1 | 7 | 9 | 21 | 4 |
A question about Cigand SE vs Csakvar?
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