Puskas Academy vs Csakvar: result 1-0 and analysis
NB IIRegular Season - 9Kick-off on September 14, 2016 at 04:00 PM (UTC)Puskás Akadémia Pancho Aréna, Felcsút
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What was the result of Puskas Academy vs Csakvar?
Puskas Academy won 1-0 on September 14, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Puskas Academy have 6 wins, 4 draws and 5 defeats; Csakvar have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Cigand SE(away) | 1-0 | NB II |
| Aug 28, 2016 | Szeol Sc(home) | 3-1 | NB II |
| Aug 24, 2016 | Bekescsaba 1912(away) | 0-5 | NB II |
| Aug 19, 2016 | Soproni VSE(home) | 3-2 | NB II |
| Aug 14, 2016 | Kisvarda FC(away) | 2-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Szolnoki MAV FC(home) | 2-2 | NB II |
| Aug 28, 2016 | Soroksar(away) | 0-5 | NB II |
| Aug 24, 2016 | Budaorsi SC(home) | 2-1 | NB II |
| Aug 21, 2016 | Balmazujvaros(away) | 0-2 | NB II |
| Aug 14, 2016 | Cegledi VSE(home) | 2-1 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 2 Puskas Academy win(s), 0 draw(s), 0 Csakvar win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 2, 2013 | Puskas Academy 2-1 Csakvar | NB II |
| Aug 18, 2012 | Csakvar 2-4 Puskas Academy | NB II |
Last archived meeting: Puskas Academy vs Csakvar on Mar 2, 2013
How many goals should we expect?
Puskas Academy score 1.6 and concede 1.7 goals per match over their last 15; Csakvar score 1.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puskas Academy | 1.6 | 1.7 | 2 | 10/15 | 10/15 |
| Csakvar | 1.2 | 1.8 | 4 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Csakvar | 5 | 1 | 0 | 4 | 6 | 10 | 3 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy