Puskas Academy vs Cigand SE: result 4-0 and analysis
NB IIRegular Season - 27Kick-off on April 2, 2017 at 04:00 PM (UTC)Puskás Akadémia Pancho Aréna, Felcsút
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What was the result of Puskas Academy vs Cigand SE?
Puskas Academy won 4-0 on April 2, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Puskas Academy have 10 wins, 3 draws and 2 defeats; Cigand SE have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | Szeol Sc(away) | 1-1 | NB II |
| Mar 16, 2017 | Bekescsaba 1912(home) | 3-0 | NB II |
| Mar 12, 2017 | Soproni VSE(away) | 2-0 | NB II |
| Mar 5, 2017 | Kisvarda FC(home) | 1-0 | NB II |
| Feb 26, 2017 | Kozarmisleny FC(home) | 2-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | Szolnoki MAV FC(home) | 1-1 | NB II |
| Mar 16, 2017 | Soroksar(away) | 0-0 | NB II |
| Mar 12, 2017 | Budaorsi SC(home) | 1-1 | NB II |
| Mar 5, 2017 | Balmazujvaros(away) | 0-2 | NB II |
| Feb 26, 2017 | Cegledi VSE(home) | 1-2 | NB II |
What does the head-to-head say?
In the last meeting: 1 Puskas Academy win, 0 draws, 0 Cigand SE wins.
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2016 | Cigand SE 0-1 Puskas Academy | NB II |
Last archived meeting: Cigand SE vs Puskas Academy on Sep 11, 2016
How many goals should we expect?
Puskas Academy score 1.7 and concede 0.5 goals per match over their last 15; Cigand SE score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puskas Academy | 1.7 | 0.5 | 10 | 4/15 | 5/15 |
| Cigand SE | 0.9 | 1.2 | 6 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Puskas Academy vs Cigand SE?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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