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Player stats 25/26

Sporting CP v Casa Pia

Your slip follows you between games.

How often each Sporting CP and Casa Pia player has hit the lines bookmakers price — 1+ shots on target, 2+ shots, 1+ fouls, a card — across their recent matches. How hit rates work ↓

Going into Sporting CP v Casa Pia: Luis Javier Suárez (Sporting CP) leads the home side for 1+ shots on target — 10 of 10 (100%). Raw hit rates from recent matches, not odds.

Window
Last
What a window counts

Hit rates count the most recent completed games, newest first — reaching back into earlier seasons when the current one is short, and into games for a previous club, including in another league we cover.

Market
Line
Team
How hit rates and windows work

Each row's hit rate is the share of a player's games in the window where the bet would have landed. These are 26/27 figures from completed matches: Last N is their last N games; Season is their whole 26/27; H2H is only games against this opponent.

Sporting CP
Luis Javier SuárezF 100%10 of 10 Pro 🔒
Francisco TrincãoM 90%9 of 10 Pro 🔒
Geny CatamoF 70%7 of 10 Pro 🔒
Alisson SantosF 60%6 of 10 Pro 🔒
Daniel BragançaM 60%6 of 10 Pro 🔒
Casa Pia
Jérémy LivolantF 80%8 of 10 Pro 🔒
Gaizka LarrazabalD 70%7 of 10 Pro 🔒

Sporting CP
Casa Pia
Jérémy LivolantF 60%6 of 10 Pro 🔒

Sporting CP
Luis Javier SuárezF 80%8 of 10 Pro 🔒
Casa Pia
No Casa Pia player in this window.

Sporting CP
Luis Javier SuárezF 100%10 of 10 Pro 🔒
Francisco TrincãoM 70%7 of 10 Pro 🔒
Casa Pia
No Casa Pia player in this window.

Sporting CP
Zeno DebastD 80%8 of 10 Pro 🔒
Ricardo MangasD 80%8 of 10 Pro 🔒
Luis Javier SuárezF 80%8 of 10 Pro 🔒
João SimõesM 70%7 of 10 Pro 🔒
Hidemasa MoritaM 70%7 of 10 Pro 🔒
Daniel BragançaM 60%6 of 10 Pro 🔒
Casa Pia
CassianoF 90%9 of 10 Pro 🔒
Abdu ContéD 88%7 of 8 Pro 🔒
Renato NhagaM 80%8 of 10 Pro 🔒
David SousaD 80%8 of 10 Pro 🔒
Xander SeverinaF 75%3 of 4 Pro 🔒
Gaizka LarrazabalD 60%6 of 10 Pro 🔒

Sporting CP
Ricardo MangasD 60%6 of 10 Pro 🔒
Casa Pia
No Casa Pia player in this window.

Sporting CP
Luis Javier SuárezF 80%8 of 10 Pro 🔒
Daniel BragançaM 70%7 of 10 Pro 🔒
Geny CatamoF 60%6 of 10 Pro 🔒
Gonçalo InácioD 60%6 of 10 Pro 🔒
Ricardo MangasD 60%6 of 10 Pro 🔒
Casa Pia
Jérémy LivolantF 100%10 of 10 Pro 🔒
Sebastián PérezM 80%8 of 10 Pro 🔒
Renato NhagaM 70%7 of 10 Pro 🔒
CassianoF 60%6 of 10 Pro 🔒

Sporting CP
Luis Javier SuárezF 60%6 of 10 Pro 🔒
Casa Pia
Jérémy LivolantF 70%7 of 10 Pro 🔒

Sporting CP
Daniel BragançaM 90%9 of 10 Pro 🔒
Gonçalo InácioD 80%8 of 10 Pro 🔒
Francisco TrincãoM 80%8 of 10 Pro 🔒
Zeno DebastD 70%7 of 10 Pro 🔒
Ricardo MangasD 70%7 of 10 Pro 🔒
Luis Javier SuárezF 70%7 of 10 Pro 🔒
Hidemasa MoritaM 70%7 of 10 Pro 🔒
Iván FresnedaD 60%6 of 10 Pro 🔒
João SimõesM 60%6 of 10 Pro 🔒
Casa Pia
David SousaD 100%10 of 10 Pro 🔒
Renato NhagaM 90%9 of 10 Pro 🔒
Jérémy LivolantF 80%8 of 10 Pro 🔒
Rafael BritoM 80%8 of 10 Pro 🔒
Gaizka LarrazabalD 80%8 of 10 Pro 🔒
Abdu ContéD 62%5 of 8 Pro 🔒
Sebastián PérezM 60%6 of 10 Pro 🔒

Sporting CP
Casa Pia
David SousaD 60%6 of 10 Pro 🔒

Sporting CP
No Sporting CP player in this window.
Casa Pia
David SousaD 60%6 of 10 Pro 🔒

Sporting CP
Luis Javier SuárezF 60%6 of 10 Stats only
Casa Pia
No Casa Pia player in this window.

Sporting CP
Francisco TrincãoM 40%4 of 10 Stats only
Casa Pia
No Casa Pia player in this window.

Sporting CP
Rui SilvaG 60%6 of 10 Stats only
Casa Pia
No Casa Pia player in this window.

🔒 Model is the paid layer — the model's +EV verdict on each line, per fixture in the tool. The hit rates here are free.

Tick players above to build your own slip — it follows you across games, and you can share it from the tray below.

New to these markets? The player stats guide explains what each line means and how to read a hit rate, and the glossary defines the terms.

Match officials+13% cards vs the league average
David Rafael Oliveira da Silva refereed this match 5.84cards a gameleague 5.17 43games
David Rafael Oliveira da Silva's card record

Form is only half the picture. A player hitting a line 5 of 5 can still be poor value if the true chance is lower than the streak suggests. The SharpXI tool pairs every one of these with the model's real probability — and flags the runs it doesn't back, so you're not chasing a streak about to regress. That honest verdict is the layer we're building into the tool.

Hit rates are raw recent form from public match data, for context — not a prediction or a guarantee. 18+ — please gamble responsibly.