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Player stats 26/27

FC Porto v FC Arouca

Your slip follows you between games.

How often each FC Porto 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 FC Porto v FC Arouca: André Silva (FC Porto) leads the home side for 1+ shots on target — 7 of 10 (70%); Ivan Barbero (FC Arouca) 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.

FC Porto
Gabri VeigaM 100%10 of 10 Pro 🔒
William GomesF 90%9 of 10 Pro 🔒
André SilvaF 80%8 of 10 Pro 🔒
PepêF 80%8 of 10 Pro 🔒
Alberto CostaD 70%7 of 10 Pro 🔒
Deniz GülF 70%7 of 10 Pro 🔒
Hwang In-beomM 70%7 of 10 Pro 🔒
FC Arouca
Ivan BarberoF 100%10 of 10 Pro 🔒
Naïs DjouahraF 80%8 of 10 Pro 🔒
Tiago EsgaioD 70%7 of 10 Pro 🔒
Taichi FukuiM 70%7 of 10 Pro 🔒
Dylan NandínF 60%6 of 10 Pro 🔒
Hyun-ju LeeM 60%6 of 10 Pro 🔒
Alfonso TrezzaF 60%6 of 10 Pro 🔒

FC Porto
No FC Porto player in this window.
FC Arouca
Ivan BarberoF 80%8 of 10 Pro 🔒

FC Porto
André SilvaF 70%7 of 10 Pro 🔒
FC Arouca
Ivan BarberoF 70%7 of 10 Pro 🔒

FC Porto
Deniz GülF 100%10 of 10 Pro 🔒
Alberto CostaD 90%9 of 10 Pro 🔒
Jakub KiwiorD 80%8 of 10 Pro 🔒
Gabri VeigaM 70%7 of 10 Pro 🔒
Victor FroholdtM 70%7 of 10 Pro 🔒
Pablo RosarioM 70%7 of 10 Pro 🔒
William GomesF 60%6 of 10 Pro 🔒
Borja SainzF 60%6 of 10 Pro 🔒
FC Arouca
Hyun-ju LeeM 90%9 of 10 Pro 🔒
Espen Van EeM 90%9 of 10 Pro 🔒
Jose FontánD 90%9 of 10 Pro 🔒
Ivan BarberoF 90%9 of 10 Pro 🔒
Alfonso TrezzaF 60%6 of 10 Pro 🔒

FC Porto
Alberto CostaD 80%8 of 10 Pro 🔒
Deniz GülF 70%7 of 10 Pro 🔒
Jakub KiwiorD 60%6 of 10 Pro 🔒
FC Arouca
Ivan BarberoF 80%8 of 10 Pro 🔒
Espen Van EeM 70%7 of 10 Pro 🔒

FC Porto
Victor FroholdtM 80%8 of 10 Pro 🔒
Alberto CostaD 70%7 of 10 Pro 🔒
William GomesF 60%6 of 10 Pro 🔒
Zaidu SanusiD 60%6 of 10 Pro 🔒
PepêF 60%6 of 10 Pro 🔒
FC Arouca
Hyun-ju LeeM 90%9 of 10 Pro 🔒
Taichi FukuiM 80%8 of 10 Pro 🔒
Tiago EsgaioD 70%7 of 10 Pro 🔒
Dylan NandínF 60%6 of 10 Pro 🔒
Alfonso TrezzaF 60%6 of 10 Pro 🔒
Pedro SantosM 60%6 of 10 Pro 🔒
Pablo GozálbezM 60%6 of 10 Pro 🔒

FC Porto
Alberto CostaD 60%6 of 10 Pro 🔒
FC Arouca
No FC Arouca player in this window.

FC Porto
Gabri VeigaM 90%9 of 10 Pro 🔒
Alberto CostaD 80%8 of 10 Pro 🔒
Jakub KiwiorD 80%8 of 10 Pro 🔒
Victor FroholdtM 60%6 of 10 Pro 🔒
André SilvaF 60%6 of 10 Pro 🔒
Zaidu SanusiD 60%6 of 10 Pro 🔒
FC Arouca
Espen Van EeM 90%9 of 10 Pro 🔒
Taichi FukuiM 70%7 of 10 Pro 🔒
Ivan BarberoF 70%7 of 10 Pro 🔒
Pablo GozálbezM 70%7 of 10 Pro 🔒
Tiago EsgaioD 60%6 of 10 Pro 🔒
Jose FontánD 60%6 of 10 Pro 🔒

FC Porto
Alberto CostaD 60%6 of 10 Pro 🔒
Jakub KiwiorD 60%6 of 10 Pro 🔒
FC Arouca
Espen Van EeM 70%7 of 10 Pro 🔒

FC Porto
Gabri VeigaM 30%3 of 10 Stats only
André SilvaF 30%3 of 10 Stats only
FC Arouca
Ivan BarberoF 50%5 of 10 Stats only

FC Porto
Gabri VeigaM 30%3 of 10 Stats only
FC Arouca
Tiago EsgaioD 30%3 of 10 Stats only
Naïs DjouahraF 30%3 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
Joao Pedro Pinheiro refereed this match 4.89cards a gameleague 5.17 76games
Joao Pedro Pinheiro'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.