Budapest Honved vs Puskas Academy: result 3-0 and analysis
NB IRegular Season - 4Kick-off on August 18, 2013 at 02:30 PM (UTC)Bozsik Aréna, Budapest
Full time
What was the result of Budapest Honved vs Puskas Academy?
Budapest Honved won 3-0 on August 18, 2013.
Goalscorers
- 32′A. IgnjatovićBudapest Honved
- 43′R. VernesBudapest Honved
- 52′B. ŽivanovićBudapest Honved
What is the recent form of both teams?
Over their last 15 matches in all competitions, Budapest Honved have 8 wins, 4 draws and 3 defeats; Puskas Academy have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2013 | Ujpest(away) | 1-1 | NB I |
| Aug 4, 2013 | Pápa(home) | 0-1 | NB I |
| Jul 28, 2013 | Kecskeméti TE(away) | 1-3 | NB I |
| Jun 1, 2013 | Szombathelyi Haladas(away) | 1-1 | NB I |
| May 25, 2013 | Eger(home) | 3-0 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2013 | Paks(away) | 1-4 | NB I |
| Aug 3, 2013 | Ujpest(home) | 1-2 | NB I |
| Jul 26, 2013 | Pápa(away) | 1-1 | NB I |
| Jun 1, 2013 | Soproni VSE(home) | 1-0 | NB II |
| May 24, 2013 | Tatabánya(home) | 0-1 | NB II |
How many goals should we expect?
Budapest Honved score 1.7 and concede 0.8 goals per match over their last 15; Puskas Academy score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Budapest Honved | 1.7 | 0.8 | 7 | 6/15 | 7/15 |
| Puskas Academy | 1.3 | 0.9 | 7 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Budapest Honved sit 10th in NB I (10 points from 9 matches) and Puskas Academy sit 1st (21 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Puskas Academy | 10 | 7 | 0 | 3 | 15 | 10 | 21 |
| 10 | Budapest Honved | 9 | 2 | 4 | 3 | 13 | 15 | 10 |
A question about Budapest Honved vs Puskas Academy?
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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