Pécsi MFC vs Eger: result 0-0 and analysis
NB IRegular Season - 11Kick-off on October 20, 2012 at 04:30 PM (UTC)PMFC Stadion, Pécs
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What was the result of Pécsi MFC vs Eger?
Pécsi MFC and Eger drew 0-0 on October 20, 2012.
Official lineup for Pécsi MFC vs Eger
The starting elevens fielded at kick-off.
Pécsi MFC
- 9M. Grumić
- 20S. Okoronkwo
- 81Péter Bajzát
- 10Olivér Nagy
- 17Adrian Gyula Horvath
- 21Zoran Zeljkovic
- 33E. Uzoma
- 22L. Bodnár
- 25J. Krejčí
- 26A. Causic
- 12D. Dibusz
Eger
- 10Á. Farkas
- 5Cedomir Pavicevic
- 8Norbert Németh
- 22Saša Dobrić
- 3P. Knakal
- 4Gábor Kovács
- 6M. Stanislaw
- 11Zsolt Balog
- 14C. Preklet
- 15J. Mecinovikj
- 1Darko Brljak
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pécsi MFC have 4 wins, 3 draws and 8 defeats; Eger have 2, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2012 | Budapest Honved(away) | 1-0 | NB I |
| Sep 30, 2012 | Ujpest(home) | 1-3 | NB I |
| Sep 26, 2012 | Csornai SE(away) | 5-1 | Magyar Kupa |
| Sep 22, 2012 | Pápa(away) | 2-1 | NB I |
| Sep 16, 2012 | Gyori ETO FC(away) | 0-1 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 1, 2012 | Ferencvarosi TC(home) | 2-2 | NB I |
How many goals should we expect?
Pécsi MFC score 1.3 and concede 1.7 goals per match over their last 15; Eger score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pécsi MFC | 1.3 | 1.7 | 3 | 8/15 | 9/15 |
| Eger | 0.7 | 1.3 | 4 | 4/12 | 4/12 |
Over the last 15 matches in all competitions.
A question about Pécsi MFC vs Eger?
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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