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Player stats 25/26

Casa Pia v FC Arouca

Your slip follows you between games.

How often each Casa Pia and FC Arouca 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 FC Arouca: Gaizka Larrazabal (Casa Pia) leads the home side for 1+ shots on target — 6 of 10 (60%); Alfonso Trezza (FC Arouca) tops the visitors on 6 of 10 (60%). 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
Gaizka LarrazabalD 70%7 of 10 Pro 🔒
Jérémy LivolantF 60%6 of 10 Pro 🔒
FC Arouca
Naïs DjouahraF 90%9 of 10 Pro 🔒
Alfonso TrezzaF 80%8 of 10 Pro 🔒
Hyun-ju LeeM 70%7 of 10 Pro 🔒
Taichi FukuiM 70%7 of 10 Pro 🔒
Ivan BarberoF 70%7 of 10 Pro 🔒

Casa Pia
No Casa Pia player in this window.
FC Arouca
Alfonso TrezzaF 60%6 of 10 Pro 🔒

Casa Pia
Gaizka LarrazabalD 60%6 of 10 Pro 🔒
FC Arouca
Alfonso TrezzaF 60%6 of 10 Pro 🔒
Naïs DjouahraF 60%6 of 10 Pro 🔒

Casa Pia
CassianoF 90%9 of 10 Pro 🔒
David SousaD 80%8 of 10 Pro 🔒
João MarquesM 70%7 of 10 Pro 🔒
Jérémy LivolantF 70%7 of 10 Pro 🔒
Iyad MohamedM 70%7 of 10 Pro 🔒
Abdu ContéD 70%7 of 10 Pro 🔒
Rafael BritoM 60%6 of 10 Pro 🔒
Gaizka LarrazabalD 60%6 of 10 Pro 🔒
FC Arouca
Hyun-ju LeeM 90%9 of 10 Pro 🔒
Tiago EsgaioD 80%8 of 10 Pro 🔒
Espen Van EeM 80%8 of 10 Pro 🔒
Dylan NandínF 70%7 of 10 Pro 🔒
Miguel PucheF 60%6 of 10 Pro 🔒
Taichi FukuiM 60%6 of 10 Pro 🔒
Ivan BarberoF 60%6 of 10 Pro 🔒

Casa Pia
Jérémy LivolantF 90%9 of 10 Pro 🔒
CassianoF 70%7 of 10 Pro 🔒
Abdu ContéD 60%6 of 10 Pro 🔒
FC Arouca
Hyun-ju LeeM 90%9 of 10 Pro 🔒
Espen Van EeM 80%8 of 10 Pro 🔒
Bas KuipersD 75%3 of 4 Pro 🔒
Dylan NandínF 70%7 of 10 Pro 🔒
Taichi FukuiM 70%7 of 10 Pro 🔒
Alfonso TrezzaF 60%6 of 10 Pro 🔒

Casa Pia
Jérémy LivolantF 80%8 of 10 Pro 🔒
FC Arouca
No FC Arouca player in this window.

Casa Pia
David SousaD 90%9 of 10 Pro 🔒
Abdu ContéD 80%8 of 10 Pro 🔒
João MarquesM 70%7 of 10 Pro 🔒
Jérémy LivolantF 70%7 of 10 Pro 🔒
Rafael BritoM 70%7 of 10 Pro 🔒
Iyad MohamedM 70%7 of 10 Pro 🔒
Gaizka LarrazabalD 70%7 of 10 Pro 🔒
Lawrence OforiM 60%6 of 10 Pro 🔒
FC Arouca
Taichi FukuiM 90%9 of 10 Pro 🔒
Espen Van EeM 90%9 of 10 Pro 🔒
Javi SánchezD 75%3 of 4 Pro 🔒
Dylan NandínF 70%7 of 10 Pro 🔒
Miguel PucheF 70%7 of 10 Pro 🔒
Naïs DjouahraF 60%6 of 10 Pro 🔒
Ivan BarberoF 60%6 of 10 Pro 🔒

Casa Pia
João MarquesM 60%6 of 10 Pro 🔒
FC Arouca
Espen Van EeM 80%8 of 10 Pro 🔒

Casa Pia
Gaizka LarrazabalD 30%3 of 10 Stats only
FC Arouca
Hyun-ju LeeM 40%4 of 10 Stats only
Ivan BarberoF 40%4 of 10 Stats only
Alfonso TrezzaF 30%3 of 10 Stats only

Casa Pia
Jérémy LivolantF 30%3 of 10 Stats only
FC Arouca
Jose FontánD 30%3 of 10 Stats only

Casa Pia
No Casa Pia player in this window.
FC Arouca
Ignacio de ArruabarrenaG 60%6 of 10 Stats only

🔒 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
Rosa, Diogo refereed this match

8 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.