Eger vs Pápa: result 1-1 and analysis
NB IRegular Season - 12Kick-off on October 26, 2012 at 05:00 PM (UTC)Szentmarjay Tibor Városi Stadion, Eger
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What was the result of Eger vs Pápa?
Eger and Pápa drew 1-1 on October 26, 2012.
Goalscorers
- 29′Á. FarkasEger
- 34′P. KnakalPápa (o.g.)
Official lineup for Eger vs Pápa
The starting elevens fielded at kick-off.
Eger
- 10Á. Farkas
- 19D. Pavlov
- 5Cedomir Pavicevic
- 8Norbert Németh
- 3P. Knakal
- 4Gábor Kovács
- 6M. Stanislaw
- 11Zsolt Balog
- 14C. Preklet
- 15J. Mecinovikj
- 1Darko Brljak
Pápa
- 6Mouhamadou Seye
- 21Goran Maric Govorcin
- 4Gábor Tóth
- 9L. Arsić
- 25Béla Maroti
- 2Sándor Nagy
- 5András Dlusztus
- 20István Rodenbucher
- 30C. Quintero
- 32Á. Présinger
- 27Lajos Szücs
What is the recent form of both teams?
Over their last 13 matches in all competitions, Eger have 2 wins, 5 draws and 6 defeats; Pápa have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2012 | Pécsi MFC(away) | 0-0 | NB I |
| Oct 6, 2012 | Kecskeméti TE(home) | 0-2 | NB I |
| Sep 29, 2012 | Kaposvar(away) | 0-0 | NB I |
| Sep 22, 2012 | Debreceni VSC(home) | 1-0 | NB I |
| Sep 15, 2012 | MTK Budapest(away) | 0-3 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2012 | Budapest Honved(home) | 2-1 | NB I |
| Oct 6, 2012 | Ujpest(away) | 1-1 | NB I |
| Sep 28, 2012 | Gyori ETO FC(away) | 0-6 | NB I |
| Sep 25, 2012 | TIAC Honved VSE Tapolca(away) | 9-0 | Magyar Kupa |
| Sep 22, 2012 | Pécsi MFC(home) | 1-2 | NB I |
How many goals should we expect?
Eger score 0.6 and concede 1.2 goals per match over their last 13; Pápa score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Eger | 0.6 | 1.2 | 5 | 4/13 | 4/13 |
| Pápa | 1.4 | 1.5 | 4 | 6/15 | 7/15 |
Over the last 13 matches in all competitions.
A question about Eger vs Pápa?
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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