MTK Budapest vs Soproni VSE: result 4-1 and analysis
NB IIRegular Season - 33Kick-off on May 2, 2018 at 05:00 PM (UTC)Hidegkuti Nándor Stadion, Budapest
Full time
What was the result of MTK Budapest vs Soproni VSE?
MTK Budapest won 4-1 on May 2, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MTK Budapest have 9 wins, 2 draws and 4 defeats; Soproni VSE have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2018 | Gyirmot SE(home) | 1-0 | NB II |
| Apr 22, 2018 | Szeged 2011(away) | 2-2 | NB II |
| Apr 15, 2018 | Kazincbarcikai(home) | 4-1 | NB II |
| Apr 11, 2018 | VAC(away) | 3-2 | NB II |
| Apr 8, 2018 | Soroksar(away) | 2-4 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2018 | Szeged 2011(home) | 2-2 | NB II |
| Apr 25, 2018 | Szolnoki MAV FC(away) | 2-1 | NB II |
| Apr 22, 2018 | Kazincbarcikai(away) | 0-1 | NB II |
| Apr 15, 2018 | Soroksar(home) | 0-1 | NB II |
| Apr 11, 2018 | Bekescsaba 1912(away) | 0-3 | NB II |
What does the head-to-head say?
Across the last 3 meetings: 2 MTK Budapest wins, 1 draw, 0 Soproni VSE wins.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2017 | Soproni VSE 0-4 MTK Budapest | NB II |
| May 12, 2012 | Soproni VSE 1-1 MTK Budapest | NB II |
| Nov 5, 2011 | MTK Budapest 4-0 Soproni VSE | NB II |
Last archived meeting: Soproni VSE vs MTK Budapest on Oct 22, 2017
How many goals should we expect?
MTK Budapest score 2.1 and concede 1.4 goals per match over their last 15; Soproni VSE score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MTK Budapest | 2.1 | 1.4 | 5 | 8/15 | 10/15 |
| Soproni VSE | 0.9 | 1.9 | 1 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about MTK Budapest vs Soproni VSE?
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