Fátima vs Pêro Pinheiro: prediction and stats
Campeonato de Portugal Prio - Group FGroup F - 11Kick-off on January 10, 2021 at 03:00 PM (UTC)Estádio Papa Francisco, Fátima
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fátima have 1 win, 5 draws and 9 defeats; Pêro Pinheiro have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2020 | União Almeirim(home) | 0-3 | Campeonato de Portugal Prio - Group F |
| Nov 15, 2020 | Alverca(home) | 0-6 | Campeonato de Portugal Prio - Group F |
| Nov 8, 2020 | Sacavenense(away) | 1-1 | Campeonato de Portugal Prio - Group F |
| Oct 18, 2020 | Loures(away) | 0-3 | Campeonato de Portugal Prio - Group F |
| Oct 4, 2020 | Torreense(home) | 0-4 | Campeonato de Portugal Prio - Group F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 3, 2021 | Loures(home) | 0-0 | Campeonato de Portugal Prio - Group F |
| Dec 19, 2020 | Torreense(away) | 0-1 | Campeonato de Portugal Prio - Group F |
| Dec 13, 2020 | 1º Dezembro(away) | 0-0 | Campeonato de Portugal Prio - Group F |
| Dec 6, 2020 | Caldas(home) | 2-0 | Campeonato de Portugal Prio - Group F |
| Nov 29, 2020 | Alverca(away) | 0-2 | Campeonato de Portugal Prio - Group F |
How many goals should we expect?
Fátima score 0.7 and concede 2.2 goals per match over their last 15; Pêro Pinheiro score 0.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fátima | 0.7 | 2.2 | 2 | 6/15 | 10/15 |
| Pêro Pinheiro | 0.5 | 0.8 | 9 | 2/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Pêro Pinheiro | 20 | 5 | 6 | 9 | 10 | 17 | 21 |
A question about Fátima vs Pêro Pinheiro?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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