Fabril Barreiro vs Moreirense: result 1-3 and analysis
Taça de Portugal3rd RoundKick-off on October 19, 2019 at 02:00 PM (UTC)Estádio Alfredo da Silva, Barreiro
Full time
What was the result of Fabril Barreiro vs Moreirense?
Moreirense won 1-3 on October 19, 2019.
Goalscorers
- 24′Pedro NunoMoreirense
- 68′Pedro NunoMoreirense
- 79′Fábio AbreuMoreirense
- 84′?Fabril Barreiro
What is the recent form of both teams?
Over their last 11 matches in all competitions, Fabril Barreiro have 2 wins, 2 draws and 7 defeats; Moreirense have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | 1º Dezembro(away) | 2-3 | Campeonato de Portugal Prio - Group D |
| Oct 5, 2019 | Sacavenense(away) | 0-1 | Campeonato de Portugal Prio - Group D |
| Sep 29, 2019 | Penedo Gordo(away) | 1-0 | Taça de Portugal |
| Sep 22, 2019 | Lusitano GC Évora(home) | 3-1 | Campeonato de Portugal Prio - Group D |
| Sep 15, 2019 | Alverca(away) | 1-7 | Campeonato de Portugal Prio - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Maritimo(away) | 1-2 | Primeira Liga |
| Sep 21, 2019 | Benfica(home) | 1-2 | Primeira Liga |
| Sep 15, 2019 | Santa Clara(away) | 0-2 | Primeira Liga |
| Aug 30, 2019 | Portimonense(home) | 1-0 | Primeira Liga |
| Aug 23, 2019 | Vitoria Setubal(away) | 0-0 | Primeira Liga |
How many goals should we expect?
Fabril Barreiro score 1.0 and concede 2.4 goals per match over their last 11; Moreirense score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fabril Barreiro | 1.0 | 2.4 | 2 | 4/11 | 6/11 |
| Moreirense | 0.9 | 1.3 | 5 | 7/15 | 7/15 |
Over the last 11 matches in all competitions.
A question about Fabril Barreiro vs Moreirense?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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