Vilassar Mar vs Reus: result 3-0 and analysis
Tercera División RFEF - Group 5Group 5 - 14Kick-off on November 24, 2019 at 11:00 AM (UTC)Estadio Municipal Xevi Ramon, Vilassar de Mar
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What was the result of Vilassar Mar vs Reus?
Vilassar Mar won 3-0 on November 24, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Vilassar Mar have 5 wins, 5 draws and 3 defeats; Reus have 0, 0 and 15.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Castelldefels(away) | 2-0 | Tercera División RFEF - Group 5 |
| Nov 10, 2019 | Horta(home) | 2-0 | Tercera División RFEF - Group 5 |
| Nov 2, 2019 | Santfeliuenc(away) | 3-2 | Tercera División RFEF - Group 5 |
| Oct 27, 2019 | Sants(home) | 3-1 | Tercera División RFEF - Group 5 |
| Oct 20, 2019 | Cerdanyola del Vallès(away) | 0-4 | Tercera División RFEF - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Granollers(home) | 0-3 | Tercera División RFEF - Group 5 |
| Nov 10, 2019 | Terrassa(away) | 0-3 | Tercera División RFEF - Group 5 |
| Nov 2, 2019 | Europa Fc(home) | 0-3 | Tercera División RFEF - Group 5 |
| Oct 27, 2019 | Banyoles(away) | 0-3 | Tercera División RFEF - Group 5 |
| Oct 19, 2019 | Sant Andreu(home) | 0-3 | Tercera División RFEF - Group 5 |
How many goals should we expect?
Vilassar Mar score 1.5 and concede 1.3 goals per match over their last 13; Reus score 0.0 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vilassar Mar | 1.5 | 1.3 | 4 | 7/13 | 7/13 |
| Reus | 0.0 | 2.7 | 0 | 0/15 | 13/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Vilassar Mar | 6 | 1 | 1 | 4 | 5 | 15 | 4 |
A question about Vilassar Mar vs Reus?
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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