Puskas Academy vs Soproni VSE: result 3-2 and analysis
NB IIRegular Season - 5Kick-off on August 19, 2016 at 05:00 PM (UTC)Puskás Akadémia Pancho Aréna, Felcsút
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What was the result of Puskas Academy vs Soproni VSE?
Puskas Academy won 3-2 on August 19, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Puskas Academy have 4 wins, 5 draws and 6 defeats; Soproni VSE 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 |
|---|---|---|---|
| Aug 14, 2016 | Kisvarda FC(away) | 2-2 | NB II |
| Aug 10, 2016 | Kozarmisleny FC(away) | 1-2 | NB II |
| Aug 7, 2016 | Szolnoki MAV FC(home) | 4-2 | NB II |
| Jul 31, 2016 | Soroksar(away) | 3-3 | NB II |
| Apr 30, 2016 | Budapest Honved(home) | 2-1 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 14, 2016 | Szolnoki MAV FC(home) | 2-1 | NB II |
| Aug 10, 2016 | Soroksar(away) | 3-0 | NB II |
| Aug 7, 2016 | Budaorsi SC(home) | 1-0 | NB II |
| Jul 31, 2016 | Balmazujvaros(away) | 0-1 | NB II |
| Jun 5, 2016 | Soroksar(away) | 1-2 | NB II |
What does the head-to-head say?
Across the last 3 meetings: 3 Puskas Academy wins, 0 draws, 0 Soproni VSE wins.
| Date | Score | Competition |
|---|---|---|
| Sep 25, 2013 | Soproni VSE 2-3 Puskas Academy | Magyar Kupa |
| Jun 1, 2013 | Puskas Academy 1-0 Soproni VSE | NB II |
| Nov 17, 2012 | Soproni VSE 0-1 Puskas Academy | NB II |
Last archived meeting: Soproni VSE vs Puskas Academy on Sep 25, 2013
How many goals should we expect?
Puskas Academy score 1.4 and concede 1.7 goals per match over their last 15; Soproni VSE score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puskas Academy | 1.4 | 1.7 | 2 | 10/15 | 10/15 |
| Soproni VSE | 1.1 | 1.4 | 5 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Puskas Academy vs Soproni VSE?
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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