MVV vs Roda: result 2-0 and analysis
Eerste DivisieRegular Season - 14Kick-off on November 18, 2018 at 11:15 AM (UTC)De Geusselt, Maastricht
Full time
What was the result of MVV vs Roda?
MVV won 2-0 on November 18, 2018.
Goalscorers
- 54′J. SchroijenMVV (pen.)
- 63′M. VermijlMVV
What is the recent form of both teams?
Over their last 15 matches in all competitions, MVV have 4 wins, 4 draws and 7 defeats; Roda have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2018 | FC Volendam(away) | 2-3 | Eerste Divisie |
| Nov 2, 2018 | Sparta Rotterdam(home) | 0-2 | Eerste Divisie |
| Oct 26, 2018 | Helmond Sport(away) | 1-1 | Eerste Divisie |
| Oct 19, 2018 | Jong PSV U21(home) | 2-2 | Eerste Divisie |
| Oct 14, 2018 | Twente(away) | 1-0 | Eerste Divisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2018 | Helmond Sport(home) | 3-0 | Eerste Divisie |
| Nov 2, 2018 | Jong Utrecht(away) | 2-1 | Eerste Divisie |
| Oct 30, 2018 | URK(away) | 1-0 | KNVB Beker |
| Oct 26, 2018 | Jong AZ(away) | 1-1 | Eerste Divisie |
| Oct 19, 2018 | Sparta Rotterdam(home) | 1-1 | Eerste Divisie |
How many goals should we expect?
MVV score 0.9 and concede 1.5 goals per match over their last 15; Roda score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MVV | 0.9 | 1.5 | 4 | 7/15 | 7/15 |
| Roda | 1.7 | 1.1 | 6 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
MVV sit 2nd in Eerste Divisie (9 points from 3 matches) and Roda sit 6th (6 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | MVV | 3 | 3 | 0 | 0 | 6 | 3 | 9 |
| 2 | MVV | 3 | 3 | 0 | 0 | 6 | 3 | 9 |
| 6 | Roda | 3 | 2 | 0 | 1 | 3 | 2 | 6 |
| 6 | Roda | 3 | 2 | 0 | 1 | 3 | 2 | 6 |
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