MTK Budapest vs Vojvodina: result 0-0 and analysis
UEFA Europa League1st Qualifying RoundKick-off on July 2, 2015 at 06:30 PM (UTC)Hidegkuti Nándor Stadion, Budapest
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What was the result of MTK Budapest vs Vojvodina?
MTK Budapest and Vojvodina drew 0-0 on July 2, 2015.
Official lineup for MTK Budapest vs Vojvodina
The starting elevens fielded at kick-off.
MTK Budapest
- 11Szabolcs Varga
- 14S. Torghelle
- 15M. Střeštík
- 6K. Thiam
- 19József Kanta
- 38Á. Vass
- 5Mato Grgić
- 18B. Bese
- 21Dragan Vukmir
- 23D. Vadnai
- 1L. Hegedüs
Vojvodina
- 9M. Mrdaković
- 4M. Ivanić
- 7A. Stanisavljević
- 8D. Puškarić
- 10A. Paločević
- 24D. Sekulić
- 2Jovica Vasilić
- 15B. Nastić
- 23Igor Đurić
- 26D. Dinga
- 1Srdan Zakula
What is the recent form of both teams?
Over their last 15 matches in all competitions, MTK Budapest have 7 wins, 3 draws and 5 defeats; Vojvodina have 1, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2015 | Diosgyori VTK(away) | 0-1 | NB I |
| May 23, 2015 | Szombathelyi Haladas(home) | 2-0 | NB I |
| May 16, 2015 | Ujpest(away) | 0-1 | NB I |
| May 8, 2015 | Puskas Academy(home) | 1-0 | NB I |
| May 2, 2015 | Kecskeméti TE(home) | 0-0 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2014 | AS Trencin(home) | 3-0 | UEFA Europa League |
| Jul 17, 2014 | AS Trencin(away) | 0-4 | UEFA Europa League |
How many goals should we expect?
MTK Budapest score 1.2 and concede 0.8 goals per match over their last 15; Vojvodina score 1.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MTK Budapest | 1.2 | 0.8 | 6 | 5/15 | 5/15 |
| Vojvodina | 1.5 | 2.0 | 1 | 0/2 | 2/2 |
Over the last 15 matches in all competitions.
A question about MTK Budapest vs Vojvodina?
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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