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Casa Pia v Boavista

Your slip follows you between games.

How often each Casa Pia and Boavista 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 Boavista: Nuno Moreira (Casa Pia) leads the home side for 1+ shots on target — 6 of 10 (60%); Róbert Boženík (Boavista) tops the visitors on 7 of 10 (70%). 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
PabloF 90%9 of 10 Pro 🔒
Nuno MoreiraF 90%9 of 10 Pro 🔒
Leonardo LeloD 70%7 of 10 Pro 🔒
Gaizka LarrazabalD 70%7 of 10 Pro 🔒
Miguel SousaMform earned at Marítimo 67%2 of 3 Pro 🔒
Telasco SegoviaM 60%6 of 10 Pro 🔒
Boavista
Róbert BoženíkF 90%9 of 10 Pro 🔒
Onyemaechi BrunoD 60%6 of 10 Pro 🔒
Salvador AgraM 60%6 of 10 Pro 🔒

Casa Pia
No Casa Pia player in this window.
Boavista
Róbert BoženíkF 70%7 of 10 Pro 🔒

Casa Pia
No Casa Pia player in this window.
Boavista
Róbert BoženíkF 60%6 of 10 Pro 🔒

Casa Pia
Nuno MoreiraF 60%6 of 10 Pro 🔒
Boavista
Róbert BoženíkF 70%7 of 10 Pro 🔒

Casa Pia
Telasco SegoviaM 90%9 of 10 Pro 🔒
PabloF 70%7 of 10 Pro 🔒
Nuno MoreiraF 70%7 of 10 Pro 🔒
Miguel SousaMform earned at Marítimo 67%2 of 3 Pro 🔒
José FonteDform earned at Sporting Braga 60%6 of 10 Pro 🔒
Beni MukendiM 60%6 of 10 Pro 🔒
Boavista
Sebastián PérezM 90%9 of 10 Pro 🔒
Miguel ReisinhoM 90%9 of 10 Pro 🔒
Róbert BoženíkF 80%8 of 10 Pro 🔒
Rodrigo AbascalD 80%8 of 10 Pro 🔒
Salvador AgraM 70%7 of 10 Pro 🔒
Onyemaechi BrunoD 60%6 of 10 Pro 🔒
Ilija VukotićM 60%6 of 10 Pro 🔒

Casa Pia
Nuno MoreiraF 80%8 of 10 Pro 🔒
Beni MukendiM 70%7 of 10 Pro 🔒
Miguel SousaMform earned at Marítimo 67%2 of 3 Pro 🔒
Boavista
Sebastián PérezM 80%8 of 10 Pro 🔒
Salvador AgraM 80%8 of 10 Pro 🔒
Onyemaechi BrunoD 70%7 of 10 Pro 🔒
Róbert BoženíkF 70%7 of 10 Pro 🔒
Miguel ReisinhoM 70%7 of 10 Pro 🔒
Joel SilvaM 60%6 of 10 Pro 🔒

Casa Pia
No Casa Pia player in this window.
Boavista
Salvador AgraM 60%6 of 10 Pro 🔒

Casa Pia
Gaizka LarrazabalD 90%9 of 10 Pro 🔒
Telasco SegoviaM 90%9 of 10 Pro 🔒
Leonardo LeloD 80%8 of 10 Pro 🔒
Nuno MoreiraF 80%8 of 10 Pro 🔒
Nermin ZolotićD 80%8 of 10 Pro 🔒
Boavista
Onyemaechi BrunoD 100%10 of 10 Pro 🔒
Sebastián PérezM 90%9 of 10 Pro 🔒
Miguel ReisinhoM 90%9 of 10 Pro 🔒
Filipe FerreiraD 70%7 of 10 Pro 🔒
Rodrigo AbascalD 70%7 of 10 Pro 🔒

Casa Pia
Telasco SegoviaM 70%7 of 10 Pro 🔒
Leonardo LeloD 60%6 of 10 Pro 🔒
Boavista
Onyemaechi BrunoD 80%8 of 10 Pro 🔒
Sebastián PérezM 80%8 of 10 Pro 🔒
Rodrigo AbascalD 60%6 of 10 Pro 🔒

Casa Pia
No Casa Pia player in this window.
Boavista
Onyemaechi BrunoD 60%6 of 10 Pro 🔒

Casa Pia
No Casa Pia player in this window.
Boavista
Sebastián PérezM 60%6 of 10 Pro 🔒
Salvador AgraM 60%6 of 10 Pro 🔒

Casa Pia
PabloF 30%3 of 10 Stats only
Boavista
No Boavista player in this window.

Casa Pia
Ricardo BatistaG 70%7 of 10 Stats only
Boavista
No Boavista 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+16% cards vs the league average
Pedro Ramalho refereed this match 6.00cards a gameleague 5.17 21games
Pedro Ramalho'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.