Eger vs Kecskeméti TE: result 0-2 and analysis
NB IRegular Season - 10Kick-off on October 6, 2012 at 02:00 PM (UTC)Szentmarjay Tibor Városi Stadion, Eger
Full time
What was the result of Eger vs Kecskeméti TE?
Kecskeméti TE won 0-2 on October 6, 2012.
Goalscorers
- 24′P. KnakalKecskeméti TE (o.g.)
- 46′R. BurgosKecskeméti TE
Official lineup for Eger vs Kecskeméti TE
The starting elevens fielded at kick-off.
Eger
- 21Igor Pisanjuk
- 99G. Vujović
- 5Cedomir Pavicevic
- 8Norbert Németh
- 22Saša Dobrić
- 3P. Knakal
- 4Gábor Kovács
- 6M. Stanislaw
- 11Zsolt Balog
- 14C. Preklet
- 1Darko Brljak
Kecskeméti TE
- 9Jorginho
- 18Francis Litsingi
- 21R. Burgos
- 26L. Bertus
- 77L. Pekár
- 24L. Ramos
- 11Marko Sos
- 13Krisztian Poti
- 23Gyula Forró
- 28T. Vaskó
- 83Csaba Borszeki
What is the recent form of both teams?
Over their last 11 matches in all competitions, Eger have 2 wins, 4 draws and 5 defeats; Kecskeméti TE have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 24, 2012 | Paks(away) | 1-0 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2012 | Budapest Honved(home) | 2-1 | NB I |
| Sep 26, 2012 | Nyiregyhaza(away) | 2-4 | Magyar Kupa |
| Sep 22, 2012 | Ujpest(away) | 1-2 | NB I |
| Sep 15, 2012 | Pápa(home) | 1-2 | NB I |
| Aug 31, 2012 | Pécsi MFC(away) | 1-0 | NB I |
How many goals should we expect?
Eger score 0.7 and concede 1.3 goals per match over their last 11; Kecskeméti TE score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Eger | 0.7 | 1.3 | 4 | 4/11 | 4/11 |
| Kecskeméti TE | 1.1 | 1.5 | 4 | 9/15 | 7/15 |
Over the last 11 matches in all competitions.
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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