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SharpXI©
Player stats 23/24

Vizela v Casa Pia

Your slip follows you between games.

How often each Vizela 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 Vizela v Casa Pia: Samuel Essende (Vizela) leads the home side for 1+ shots on target — 8 of 10 (80%). 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.

Vizela
Samuel EssendeF 100%10 of 10 Pro 🔒
SamuM 90%9 of 10 Pro 🔒
Alberto SoroM 70%7 of 10 Pro 🔒
Sava PetrovF 67%4 of 6 Pro 🔒
Casa Pia
Felippe CardosoF 70%7 of 10 Pro 🔒
Nuno MoreiraF 60%6 of 10 Pro 🔒
Angelo NetoM 60%6 of 10 Pro 🔒

Vizela
Samuel EssendeF 80%8 of 10 Pro 🔒
Casa Pia
No Casa Pia player in this window.

Vizela
Samuel EssendeF 80%8 of 10 Pro 🔒
Sava PetrovF 67%4 of 6 Pro 🔒
Alberto SoroM 60%6 of 10 Pro 🔒
Casa Pia
No Casa Pia player in this window.

Vizela
SamuM 100%10 of 10 Pro 🔒
Pedro OrtizM 90%9 of 10 Pro 🔒
Sava PetrovF 83%5 of 6 Pro 🔒
Matheus PereiraF 80%8 of 10 Pro 🔒
AndersonD 70%7 of 10 Pro 🔒
Bruno CostaM 60%6 of 10 Pro 🔒
Alberto SoroM 60%6 of 10 Pro 🔒
Samuel EssendeF 60%6 of 10 Pro 🔒
Casa Pia
Telasco SegoviaM 88%7 of 8 Pro 🔒
Felippe CardosoF 70%7 of 10 Pro 🔒
Nuno MoreiraF 60%6 of 10 Pro 🔒
João NunesD 60%6 of 10 Pro 🔒
Angelo NetoM 60%6 of 10 Pro 🔒
Duplexe TchambaD 60%6 of 10 Pro 🔒

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

Vizela
Matheus PereiraF 100%10 of 10 Pro 🔒
Samuel EssendeF 80%8 of 10 Pro 🔒
Diogo NascimentoM 80%8 of 10 Pro 🔒
Tomás SilvaD 80%8 of 10 Pro 🔒
Jason LokiloF 75%6 of 8 Pro 🔒
Bruno CostaM 70%7 of 10 Pro 🔒
Sava PetrovF 67%4 of 6 Pro 🔒
Alberto SoroM 60%6 of 10 Pro 🔒
Casa Pia
Angelo NetoM 70%7 of 10 Pro 🔒
Leonardo LeloD 60%6 of 10 Pro 🔒
Nuno MoreiraF 60%6 of 10 Pro 🔒
Felippe CardosoF 60%6 of 10 Pro 🔒
Nermin ZolotićD 60%6 of 10 Pro 🔒

Vizela
Matheus PereiraF 100%10 of 10 Pro 🔒
Jason LokiloF 62%5 of 8 Pro 🔒
Bruno CostaM 60%6 of 10 Pro 🔒
Casa Pia
No Casa Pia player in this window.

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

Vizela
Tomás SilvaD 100%10 of 10 Pro 🔒
SamuM 90%9 of 10 Pro 🔒
AndersonD 80%8 of 10 Pro 🔒
Matheus PereiraF 80%8 of 10 Pro 🔒
Pedro OrtizM 70%7 of 10 Pro 🔒
Orest LebedenkoD 70%7 of 10 Pro 🔒
Jota GonçalvesD 60%6 of 10 Pro 🔒
Diogo NascimentoM 60%6 of 10 Pro 🔒
Casa Pia
Leonardo LeloD 90%9 of 10 Pro 🔒
Gaizka LarrazabalD 80%8 of 10 Pro 🔒
Angelo NetoM 80%8 of 10 Pro 🔒
Nermin ZolotićD 70%7 of 10 Pro 🔒
Nuno MoreiraF 60%6 of 10 Pro 🔒
Duplexe TchambaD 60%6 of 10 Pro 🔒

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

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

Vizela
Samuel EssendeF 50%5 of 10 Stats only
Alberto SoroM 30%3 of 10 Stats only
Casa Pia
No Casa Pia player in this window.

Vizela
Fabijan BuntićG 70%7 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
Fabio Melo refereed this match

11 matches on record — too few to quote a card rate against. See the 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.