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Player stats 23/24

Casa Pia v Vizela

Your slip follows you between games.

How often each Casa Pia and Vizela 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 Casa Pia v Vizela: Clayton (Casa Pia) leads the home side for 1+ shots on target — 6 of 10 (60%); Samuel Essende (Vizela) tops the visitors on 7 of 9 (78%). 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.

Casa Pia
Yuki SomaF 90%9 of 10 Pro 🔒
ClaytonF 90%9 of 10 Pro 🔒
Felippe CardosoF 70%7 of 10 Pro 🔒
PabloM 62%5 of 8 Pro 🔒
Vizela
Nuno MoreiraM 100%10 of 10 Pro 🔒
SamuM 100%10 of 10 Pro 🔒
Samuel EssendeF 100%9 of 9 Pro 🔒
Diogo NascimentoM 67%6 of 9 Pro 🔒
Bruno WilsonD 60%6 of 10 Pro 🔒

Casa Pia
ClaytonF 80%8 of 10 Pro 🔒
Vizela
Samuel EssendeF 78%7 of 9 Pro 🔒
Nuno MoreiraM 70%7 of 10 Pro 🔒

Casa Pia
ClaytonF 60%6 of 10 Pro 🔒
Vizela
No Vizela player in this window.

Casa Pia
ClaytonF 60%6 of 10 Pro 🔒
Vizela
Samuel EssendeF 78%7 of 9 Pro 🔒
SamuM 60%6 of 10 Pro 🔒

Casa Pia
Angelo NetoM 100%10 of 10 Pro 🔒
ClaytonF 80%8 of 10 Pro 🔒
PabloM 75%6 of 8 Pro 🔒
Yuki SomaF 70%7 of 10 Pro 🔒
Beni MukendiM 70%7 of 10 Pro 🔒
Gaizka LarrazabalD 67%6 of 9 Pro 🔒
Samuel JustoM 60%3 of 5 Pro 🔒
Vizela
Pedro OrtizM 90%9 of 10 Pro 🔒
Bruno WilsonD 80%8 of 10 Pro 🔒
Alberto SoroM 80%4 of 5 Pro 🔒
Diogo NascimentoM 78%7 of 9 Pro 🔒
Matías LacavaM 70%7 of 10 Pro 🔒
SamuM 70%7 of 10 Pro 🔒
Samuel EssendeF 67%6 of 9 Pro 🔒
Orest LebedenkoD 67%2 of 3 Pro 🔒
Alex MéndezM 60%6 of 10 Pro 🔒
AndersonD 60%6 of 10 Pro 🔒

Casa Pia
Angelo NetoM 100%10 of 10 Pro 🔒
ClaytonF 60%6 of 10 Pro 🔒
Vizela
SamuM 60%6 of 10 Pro 🔒

Casa Pia
PabloM 100%8 of 8 Pro 🔒
Yuki SomaF 80%8 of 10 Pro 🔒
ClaytonF 80%8 of 10 Pro 🔒
Nermin ZolotićD 80%8 of 10 Pro 🔒
Felippe CardosoF 60%6 of 10 Pro 🔒
Vizela
Samuel EssendeF 89%8 of 9 Pro 🔒
Matías LacavaM 70%7 of 10 Pro 🔒
SamuM 70%7 of 10 Pro 🔒
Tomás SilvaD 70%7 of 10 Pro 🔒
Nuno MoreiraM 60%6 of 10 Pro 🔒

Casa Pia
PabloM 100%8 of 8 Pro 🔒
Beni MukendiM 90%9 of 10 Pro 🔒
Fernando VarelaD 80%8 of 10 Pro 🔒
Nermin ZolotićD 80%8 of 10 Pro 🔒
Leonardo LeloD 60%6 of 10 Pro 🔒
Yuki SomaF 60%6 of 10 Pro 🔒
Angelo NetoM 60%6 of 10 Pro 🔒
Vizela
SamuM 100%10 of 10 Pro 🔒
Nuno MoreiraM 80%8 of 10 Pro 🔒
Matías LacavaM 80%8 of 10 Pro 🔒
Tomás SilvaD 80%8 of 10 Pro 🔒
Alberto SoroM 80%4 of 5 Pro 🔒
Pedro OrtizM 70%7 of 10 Pro 🔒
Bruno WilsonD 60%6 of 10 Pro 🔒

Casa Pia
PabloM 75%6 of 8 Pro 🔒
Nermin ZolotićD 70%7 of 10 Pro 🔒
Beni MukendiM 60%6 of 10 Pro 🔒
Vizela
SamuM 90%9 of 10 Pro 🔒
Tomás SilvaD 80%8 of 10 Pro 🔒
Matías LacavaM 60%6 of 10 Pro 🔒

Casa Pia
No Casa Pia player in this window.
Vizela
Tomás SilvaD 60%6 of 10 Pro 🔒

Casa Pia
ClaytonF 30%3 of 10 Stats only
Vizela
Samuel EssendeF 44%4 of 9 Stats only

Casa Pia
Ricardo BatistaG 100%10 of 10 Stats only
Vizela
No Vizela player in this window.

Casa Pia
Ricardo BatistaG 70%7 of 10 Stats only
Vizela
No Vizela 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.