Kaposvar vs Eger: result 0-0 and analysis
NB IRegular Season - 9Kick-off on September 29, 2012 at 02:00 PM (UTC)Rákóczi Stadion, Kaposvár
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What was the result of Kaposvar vs Eger?
Kaposvar and Eger drew 0-0 on September 29, 2012.
Official lineup for Kaposvar vs Eger
The starting elevens fielded at kick-off.
Kaposvar
- 14Lóránt Olah
- 19B. Vručina
- 4L. Bőle
- 5István Bank
- 7Bojan Pavlovic
- 8Nikola Šafarić
- 24Dávid Hegedűs
- 18B. Balázs
- 28G. Jánvári
- 33Pedro Sass
- 21Ľuboš Hajdúch
Eger
- 19D. Pavlov
- 99G. Vujović
- 5Cedomir Pavicevic
- 8Norbert Németh
- 22Saša Dobrić
- 2József Piller
- 3P. Knakal
- 4Gábor Kovács
- 6M. Stanislaw
- 11Zsolt Balog
- 1Darko Brljak
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaposvar have 6 wins, 4 draws and 5 defeats; Eger have 2, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2012 | Gyirmot SE(away) | 2-1 | Magyar Kupa |
| Sep 22, 2012 | Budapest Honved(away) | 3-5 | NB I |
| Sep 14, 2012 | Ujpest(home) | 0-0 | NB I |
| Sep 1, 2012 | Pápa(away) | 0-3 | NB I |
| Aug 25, 2012 | Pécsi MFC(home) | 1-1 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 19, 2012 | Fehérvár FC(away) | 1-2 | NB I |
How many goals should we expect?
Kaposvar score 1.1 and concede 1.4 goals per match over their last 15; Eger score 0.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaposvar | 1.1 | 1.4 | 5 | 8/15 | 8/15 |
| Eger | 0.8 | 1.4 | 3 | 4/10 | 4/10 |
Over the last 15 matches in all competitions.
A question about Kaposvar vs Eger?
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