Mirandela vs Montalegre: result 0-1 and analysis
Campeonato de Portugal Prio - Group AGroup A - 7Kick-off on October 13, 2019 at 02:00 PM (UTC)Estádio São Sebastião, Mirandela
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What was the result of Mirandela vs Montalegre?
Montalegre won 0-1 on October 13, 2019.
Goalscorers
- 46′Rúben NevesMontalegre
What is the recent form of both teams?
Over their last 14 matches in all competitions, Mirandela have 5 wins, 4 draws and 5 defeats; Montalegre have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Cerveira(away) | 0-0 | Campeonato de Portugal Prio - Group A |
| Sep 29, 2019 | Chaves(home) | 1-2 | Taça de Portugal |
| Sep 22, 2019 | Câmara de Lobos(home) | 4-1 | Campeonato de Portugal Prio - Group A |
| Sep 15, 2019 | U. Madeira(away) | 0-1 | Campeonato de Portugal Prio - Group A |
| Sep 8, 2019 | Atlético Arcos(home) | 2-0 | Taça de Portugal |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Câmara de Lobos(away) | 2-2 | Campeonato de Portugal Prio - Group A |
| Sep 29, 2019 | Marinhense(home) | 0-1 | Taça de Portugal |
| Sep 22, 2019 | AR São Martinho(home) | 1-0 | Campeonato de Portugal Prio - Group A |
| Sep 15, 2019 | Cerveira(away) | 3-0 | Campeonato de Portugal Prio - Group A |
| Sep 8, 2019 | Cerveira(home) | 1-0 | Taça de Portugal |
How many goals should we expect?
Mirandela score 1.4 and concede 1.4 goals per match over their last 14; Montalegre score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mirandela | 1.4 | 1.4 | 5 | 8/14 | 8/14 |
| Montalegre | 1.5 | 1.0 | 5 | 6/15 | 7/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Montalegre | 2 | 1 | 1 | 0 | 2 | 0 | 4 |
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