MTE 1904 vs Soroksar: result 0-1 and analysis
NB IIRegular Season - 12Kick-off on October 8, 2017 at 01:00 PM (UTC)Wittmann Antal park, Mosonmagyaróvár
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What was the result of MTE 1904 vs Soroksar?
Soroksar won 0-1 on October 8, 2017.
Goalscorers
- 57′G. GyepesSoroksar (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, MTE 1904 have 3 wins, 7 draws and 5 defeats; Soroksar have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2017 | Dorogi FC(away) | 0-0 | NB II |
| Sep 24, 2017 | Nyiregyhaza(home) | 2-2 | NB II |
| Sep 20, 2017 | Szarvasi(away) | 1-4 | Magyar Kupa |
| Sep 17, 2017 | Budaorsi SC(away) | 0-1 | NB II |
| Sep 10, 2017 | Budafoki LC(home) | 0-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2017 | Soproni VSE(home) | 1-0 | NB II |
| Sep 24, 2017 | MTK Budapest(away) | 2-5 | NB II |
| Sep 20, 2017 | III. Kerületi TUE(away) | 3-1 | Magyar Kupa |
| Sep 17, 2017 | Szeged 2011(home) | 3-0 | NB II |
| Sep 10, 2017 | Kazincbarcikai(away) | 0-1 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 1 MTE 1904 win(s), 0 draw(s), 1 Soroksar win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 12, 2017 | Soroksar 0-1 MTE 1904 | NB II |
| Sep 18, 2016 | MTE 1904 0-1 Soroksar | NB II |
How many goals should we expect?
MTE 1904 score 0.9 and concede 1.2 goals per match over their last 15; Soroksar score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MTE 1904 | 0.9 | 1.2 | 4 | 7/15 | 5/15 |
| Soroksar | 1.4 | 1.3 | 3 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Soroksar | 5 | 4 | 1 | 0 | 11 | 4 | 13 |
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