Paks vs Pápa: result 1-1 and analysis
NB IRegular Season - 3Kick-off on July 31, 2011 at 05:00 PM (UTC)Paksi FC Stadion, Paks
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What was the result of Paks vs Pápa?
Paks and Pápa drew 1-1 on July 31, 2011.
Goalscorers
- 29′Goran Maric GovorcinPápa
- 53′G. VayerPaks
Official lineup for Paks vs Pápa
The starting elevens fielded at kick-off.
Paks
- 2István Nagy
- 17Jozsef Magasfoldi
- 20A. Hrepka
- 6Tamas Sifter
- 22István Sipeki
- 27Norbert Heffler
- 16Tibor Heffler
- 18A. Fiola
- 30J. Szabó
- 63László Eger
- 24N. Csernyánszki
Pápa
- 13I. Ferenczi
- 21Goran Maric Govorcin
- 7Giorgi Ganugrava
- 10G. Lovrencsics
- 19G. Rása
- 88S. Puri
- 5András Dlusztus
- 17Attila Farkas
- 22Lasha Totadze
- 32Á. Présinger
- 27Lajos Szücs
What is the recent form of both teams?
Over their last 2 matches in all competitions, Paks have 1 win, 0 draws and 1 defeat; Pápa have 2, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2011 | Fehérvár FC(away) | 0-4 | NB I |
| Jul 17, 2011 | Kecskeméti TE(home) | 3-2 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 23, 2011 | Siofok(home) | 2-0 | NB I |
| Jul 16, 2011 | Ujpest(away) | 1-0 | NB I |
How many goals should we expect?
Paks score 1.5 and concede 3.0 goals per match over their last 2; Pápa score 1.5 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paks | 1.5 | 3.0 | 0 | 1/2 | 2/2 |
| Pápa | 1.5 | 0.0 | 2 | 0/2 | 0/2 |
Over the last 2 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 Paks vs Pápa?
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