Siofok vs Paks: result 1-1 and analysis
NB IRegular Season - 22Kick-off on April 6, 2013 at 12:00 PM (UTC)Révész Géza utcai stadion, Siófok
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What was the result of Siofok vs Paks?
Siofok and Paks drew 1-1 on April 6, 2013.
Goalscorers
- 24′S. PálSiofok
- 28′János LázokPaks
What is the recent form of both teams?
Over their last 15 matches in all competitions, Siofok have 5 wins, 0 draws and 10 defeats; Paks have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2013 | Fehérvár FC(away) | 0-6 | NB I |
| Mar 9, 2013 | Gyori ETO FC(away) | 1-2 | NB I |
| Mar 2, 2013 | Szombathelyi Haladas(away) | 1-2 | NB I |
| Feb 27, 2013 | Vasas(home) | 2-1 | Magyar Kupa |
| Feb 23, 2013 | Vasas(away) | 1-3 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2013 | Szombathelyi Haladas(home) | 0-0 | NB I |
| Mar 8, 2013 | Budapest Honved(home) | 0-3 | NB I |
| Mar 2, 2013 | Ujpest(away) | 6-0 | NB I |
| Nov 30, 2012 | Pápa(home) | 2-0 | NB I |
| Nov 27, 2012 | Gyori ETO FC(home) | 2-3 | Magyar Kupa |
What does the head-to-head say?
Across the last 3 meetings: 1 Siofok win, 1 draw, 1 Paks win.
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2012 | Paks 4-1 Siofok | NB I |
| Mar 17, 2012 | Siofok 2-0 Paks | NB I |
| Aug 13, 2011 | Paks 1-1 Siofok | NB I |
How many goals should we expect?
Siofok score 1.1 and concede 2.1 goals per match over their last 15; Paks score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Siofok | 1.1 | 2.1 | 3 | 8/15 | 10/15 |
| Paks | 1.4 | 1.2 | 6 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Paks | 9 | 4 | 2 | 3 | 19 | 17 | 14 |
A question about Siofok vs Paks?
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