Moura vs Armacenenses: prediction and stats
Campeonato de Portugal Prio - Group HGroup H - 15Kick-off on February 7, 2021 at 03:00 PM (UTC)Estádio do Moura Atlético Clube, Moura
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Moura have 2 wins, 3 draws and 10 defeats; Armacenenses have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 31, 2021 | Juventude Évora(away) | 1-4 | Campeonato de Portugal Prio - Group H |
| Jan 17, 2021 | Vitoria Setubal(away) | 1-2 | Campeonato de Portugal Prio - Group H |
| Jan 13, 2021 | Aljustrelense(home) | 0-1 | Campeonato de Portugal Prio - Group H |
| Dec 20, 2020 | Olhanense(away) | 1-1 | Campeonato de Portugal Prio - Group H |
| Dec 16, 2020 | Lagos(home) | 0-1 | Campeonato de Portugal Prio - Group H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2020 | Sintra(home) | 3-3 | Campeonato de Portugal Prio - Group D |
| Mar 1, 2020 | Louletano(away) | 2-3 | Campeonato de Portugal Prio - Group D |
| Feb 23, 2020 | Aljustrelense(home) | 1-0 | Campeonato de Portugal Prio - Group D |
| Feb 16, 2020 | Real(away) | 0-3 | Campeonato de Portugal Prio - Group D |
| Feb 9, 2020 | Sintrense(away) | 0-2 | Campeonato de Portugal Prio - Group D |
How many goals should we expect?
Moura score 0.9 and concede 1.7 goals per match over their last 15; Armacenenses score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Moura | 0.9 | 1.7 | 2 | 8/15 | 8/15 |
| Armacenenses | 1.1 | 1.9 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Moura | 20 | 0 | 4 | 16 | 17 | 43 | 4 |
A question about Moura vs Armacenenses?
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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