Szeged 2011 vs MTK Budapest: result 0-2 and analysis
Magyar Kupa4th RoundKick-off on October 29, 2013 at 11:30 AM (UTC)Szent Gellért Fórum, Szeged
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What was the result of Szeged 2011 vs MTK Budapest?
MTK Budapest won 0-2 on October 29, 2013.
Goalscorers
- 15′M. EppelMTK Budapest
- 74′Szabolcs VargaMTK Budapest
Official lineup for Szeged 2011 vs MTK Budapest
The starting elevens fielded at kick-off.
Szeged 2011
- TTamás Germán
- SS. Marković
- LL. Acs
- RR. Kis
- TTamás Kéri
- BBekim Kapic
- ZZoltán Kalapács
- CC. Szabó
- DDávid Zabari
- PPéter Csányi
- TT. Molnár-Farkas
MTK Budapest
- NNorbert Gábor Csiki
- MM. Eppel
- JJózsef Kanta
- ZZ. Pölöskei
- BB. Batik
- DD. Kálnoki-Kis
- AA. Fejes
- DD. Kelemen
- PP. Poór
- BB. Bese
- FF. Groppioni
What is the recent form of both teams?
Over their last 5 matches in all competitions, Szeged 2011 have 3 wins, 1 draw and 1 defeat; MTK Budapest have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2013 | Tiszaújváros(away) | 1-0 | Magyar Kupa |
| Aug 28, 2013 | Gödöllő(away) | 2-0 | Magyar Kupa |
| Aug 10, 2013 | Kozarmisleny FC(home) | 3-2 | Magyar Kupa |
| Aug 12, 2012 | Szolnoki MAV FC(away) | 1-3 | Magyar Kupa |
| Sep 20, 2011 | Szolnoki MAV FC(away) | 1-1 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2013 | Ujpest(home) | 0-1 | NB I |
| Oct 19, 2013 | Pápa(away) | 2-0 | NB I |
| Oct 5, 2013 | Kecskeméti TE(home) | 2-2 | NB I |
| Sep 29, 2013 | Debreceni VSC(away) | 0-1 | NB I |
| Sep 21, 2013 | Paks(home) | 2-0 | NB I |
How many goals should we expect?
Szeged 2011 score 1.6 and concede 1.2 goals per match over their last 5; MTK Budapest score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szeged 2011 | 1.6 | 1.2 | 2 | 3/5 | 2/5 |
| MTK Budapest | 1.0 | 1.2 | 3 | 4/15 | 5/15 |
Over the last 5 matches in all competitions.
A question about Szeged 2011 vs MTK Budapest?
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