FC Porto v Estoril Praia
The SharpXI model's read on FC Porto v Estoril Praia — modelled probabilities for the player markets that matter in the bet builder, ranked by confidence.
Not appointed yet — referees are usually confirmed two to three days before kick-off. See the referee panel
In-form players
Going into FC Porto v Estoril Praia on Sat 31 Oct: William Gomes (FC Porto) leads the home side for 1+ shots on target — 7 of 10 (70%); Yanis Begraoui (Estoril Praia) tops the visitors on 8 of 10 (80%). Raw hit rates from recent matches, not odds.
The season so far
By our count of finished 26/27 results: FC Porto are 1st with 24 points from 8 (8 won, 0 drawn, 0 lost, 20 scored, 4 conceded), last five W W W W W; Estoril Praia are 18th with 2 points from 8 (0 won, 2 drawn, 6 lost, 4 scored, 12 conceded), last five L D L L L.
See the full player stats boardPlayer markets — the model's calls
The model prices player markets once the lineup is known — usually about an hour before kick-off. Until then the pre-match player stats board above carries every player's hit rate for this fixture, from completed matches.
Team & match markets
Dig deeper
Past meetings
- Estoril Praia 1–3 FC Porto Apr 2026
- FC Porto 1–0 Estoril Praia Nov 2025
- Estoril Praia 1–2 FC Porto Mar 2025
- FC Porto 4–0 Estoril Praia Nov 2024
- Estoril Praia 1–0 FC Porto Mar 2024
- FC Porto 0–1 Estoril Praia Nov 2023
- FC Porto 3–2 Estoril Praia Mar 2023
- Estoril Praia 1–1 FC Porto Sep 2022
Frequently asked
What is this FC Porto v Estoril Praia page?
The model's read on the fixture: a modelled probability for each of the player and match markets that matter in a bet builder, ranked by how confident the model is. Once the game has been played, this same page shows what actually happened next to every call.
Is this a tip?
Graded in public, wins and losses alike. A probability is not advice and there is no price attached here — whether a market is worth backing depends on what the bookmaker is charging for it, which is the question the SharpXI tool answers rather than this page.
Where do the numbers come from?
Public match data for the teams and players involved, run through the same model used across the site — recent form shrunk toward the league average, adjusted for the opponent and the referee. The modelling guides explain each market in detail.
How accurate has the model been in the Primeira Liga?
Every finished fixture on this site carries its own report card, and the season-long record for each market — the ones that beat a naive guess and the ones that don't — is on the track record page.
SharpXI models probabilities from public match data; it does not take bets or guarantee outcomes. Prices are entered per leg in the tool. 18+ — please gamble responsibly.