Zalaegerszegi TE vs MTE 1904: result 2-1 and analysis
NB IIRegular Season - 14Kick-off on October 27, 2018 at 03:00 PM (UTC)ZTE-Aréna, Zalaegerszeg
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What was the result of Zalaegerszegi TE vs MTE 1904?
Zalaegerszegi TE won 2-1 on October 27, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zalaegerszegi TE have 9 wins, 5 draws and 1 defeats; MTE 1904 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 |
|---|---|---|---|
| Oct 21, 2018 | Kazincbarcikai(away) | 1-1 | NB II |
| Oct 7, 2018 | Gyirmot SE(home) | 1-0 | NB II |
| Oct 3, 2018 | Soroksar(away) | 4-1 | NB II |
| Sep 30, 2018 | Dorogi FC(home) | 2-1 | NB II |
| Sep 26, 2018 | VAC(away) | 1-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2018 | Cegledi VSE(home) | 0-2 | NB II |
| Oct 7, 2018 | Budaorsi SC(away) | 0-3 | NB II |
| Oct 3, 2018 | Budafoki LC(away) | 2-3 | NB II |
| Sep 30, 2018 | Kazincbarcikai(home) | 0-3 | NB II |
| Sep 26, 2018 | Gyirmot SE(away) | 0-2 | NB II |
What does the head-to-head say?
Across the last 4 meetings: 1 Zalaegerszegi TE win(s), 0 draw(s), 3 MTE 1904 win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2018 | Zalaegerszegi TE 4-0 MTE 1904 | NB II |
| Nov 26, 2017 | MTE 1904 3-1 Zalaegerszegi TE | NB II |
| Dec 11, 2016 | Zalaegerszegi TE 0-3 MTE 1904 | NB II |
| Jul 31, 2016 | MTE 1904 2-1 Zalaegerszegi TE | NB II |
Last archived meeting: Zalaegerszegi TE vs MTE 1904 on Jun 3, 2018
How many goals should we expect?
Zalaegerszegi TE score 1.9 and concede 0.9 goals per match over their last 15; MTE 1904 score 0.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zalaegerszegi TE | 1.9 | 0.9 | 4 | 11/15 | 9/15 |
| MTE 1904 | 0.5 | 1.9 | 3 | 5/15 | 7/15 |
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