MTK Budapest vs Szolnoki MAV FC: result 1-0 and analysis
NB IIRegular Season - 19Kick-off on November 30, 2019 at 04:00 PM (UTC)Hidegkuti Nándor Stadion, Budapest
Full time
What was the result of MTK Budapest vs Szolnoki MAV FC?
MTK Budapest won 1-0 on November 30, 2019.
Goalscorers
- 56′S. SchönMTK Budapest
What is the recent form of both teams?
Over their last 15 matches in all competitions, MTK Budapest have 11 wins, 3 draws and 1 defeats; Szolnoki MAV FC have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2019 | Gyori ETO FC(away) | 0-1 | NB II |
| Nov 24, 2019 | Szeged 2011(away) | 1-1 | NB II |
| Nov 10, 2019 | Siofok(home) | 3-0 | NB II |
| Nov 6, 2019 | Gyirmot SE(away) | 2-1 | NB II |
| Nov 3, 2019 | Szombathelyi Haladas(home) | 3-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2019 | Dorogi FC(away) | 0-0 | NB II |
| Nov 24, 2019 | Nyiregyhaza(home) | 0-1 | NB II |
| Nov 10, 2019 | Vasas(away) | 0-0 | NB II |
| Nov 6, 2019 | Kazincbarcikai(home) | 2-0 | NB II |
| Nov 3, 2019 | Tiszakecske FC(away) | 1-1 | NB II |
What does the head-to-head say?
Across the last 3 meetings: 2 MTK Budapest win(s), 0 draw(s), 1 Szolnoki MAV FC win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 10, 2018 | MTK Budapest 2-0 Szolnoki MAV FC | NB II |
| Aug 23, 2017 | Szolnoki MAV FC 1-2 MTK Budapest | NB II |
| Oct 29, 2014 | Szolnoki MAV FC 2-1 MTK Budapest | Magyar Kupa |
Last archived meeting: MTK Budapest vs Szolnoki MAV FC on Mar 10, 2018
How many goals should we expect?
MTK Budapest score 2.3 and concede 0.9 goals per match over their last 15; Szolnoki MAV FC score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MTK Budapest | 2.3 | 0.9 | 6 | 8/15 | 11/15 |
| Szolnoki MAV FC | 1.1 | 1.1 | 6 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy