Imortal Albufeira vs Sacavenense: prediction and stats
Campeonato de Portugal Prio - Group DGroup D - 1Kick-off on August 16, 2026 at 04:00 PM (UTC)Estádio Municipal de Albufeira, Albufeira
What is the recent form of both teams?
Over their last 15 matches in all competitions, Imortal Albufeira have 2 wins, 3 draws and 10 defeats; Sacavenense have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2024 | Sintrense(away) | 1-1 | Campeonato de Portugal Prio - Group D |
| Mar 24, 2024 | Vasco da Gama Vidigueira(home) | 1-2 | Campeonato de Portugal Prio - Group D |
| Mar 17, 2024 | Lusitano Évora 1911(away) | 0-3 | Campeonato de Portugal Prio - Group D |
| Mar 9, 2024 | O Elvas(away) | 1-2 | Campeonato de Portugal Prio - Group D |
| Mar 3, 2024 | FC Serpa(home) | 1-2 | Campeonato de Portugal Prio - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2025 | União de Leiria(home) | 2-4 | Taça de Portugal |
| Sep 7, 2025 | Rabo Peixe(home) | 7-0 | Taça de Portugal |
| Sep 7, 2024 | União Santarém(away) | 0-2 | Taça de Portugal |
| Mar 6, 2022 | Ideal(away) | 1-0 | Campeonato de Portugal Prio - Group E |
| Feb 27, 2022 | O Elvas(home) | 2-0 | Campeonato de Portugal Prio - Group E |
How many goals should we expect?
Imortal Albufeira score 0.7 and concede 1.9 goals per match over their last 15; Sacavenense score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Imortal Albufeira | 0.7 | 1.9 | 1 | 8/15 | 8/15 |
| Sacavenense | 1.5 | 0.8 | 8 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Imortal Albufeira | 26 | 2 | 7 | 17 | 19 | 46 | 13 |
A question about Imortal Albufeira vs Sacavenense?
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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