MTK Budapest vs Szolnoki MAV FC: result 2-0 and analysis
NB IIRegular Season - 24Kick-off on March 10, 2018 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 2-0 on March 10, 2018.
Goalscorers
- 90′L. LencseMTK Budapest
- 90′S. TorghelleMTK Budapest
What is the recent form of both teams?
Over their last 15 matches in all competitions, MTK Budapest have 12 wins, 0 draws and 3 defeats; Szolnoki MAV FC have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2018 | Sényő Carnifex(away) | 0-2 | Magyar Kupa |
| Feb 25, 2018 | Bekescsaba 1912(home) | 3-0 | NB II |
| Feb 21, 2018 | Sényő Carnifex(home) | 4-0 | Magyar Kupa |
| Dec 10, 2017 | Cegledi VSE(away) | 1-0 | NB II |
| Dec 3, 2017 | Csakvar(home) | 3-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2018 | Kazincbarcikai(away) | 1-2 | NB II |
| Dec 10, 2017 | Soroksar(home) | 1-3 | NB II |
| Dec 3, 2017 | Dorogi FC(away) | 0-2 | NB II |
| Nov 26, 2017 | Nyiregyhaza(away) | 0-2 | NB II |
| Nov 19, 2017 | Budaorsi SC(home) | 0-1 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 1 MTK Budapest win(s), 0 draw(s), 1 Szolnoki MAV FC win(s).
| Date | Score | Competition |
|---|---|---|
| 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: Szolnoki MAV FC vs MTK Budapest on Aug 23, 2017
How many goals should we expect?
MTK Budapest score 2.6 and concede 0.8 goals per match over their last 15; Szolnoki MAV FC score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MTK Budapest | 2.6 | 0.8 | 6 | 7/15 | 11/15 |
| Szolnoki MAV FC | 1.3 | 1.9 | 2 | 9/15 | 8/15 |
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